A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

G

gamma(double) - Static method in class com.itemanalysis.psychometrics.optimization.SloppyMath

GaussianKernel - Class in com.itemanalysis.psychometrics.kernel

GaussianKernel() - Constructor for class com.itemanalysis.psychometrics.kernel.GaussianKernel

GeneralizedLeastSquaresMethod - Class in com.itemanalysis.psychometrics.factoranalysis

GeneralizedLeastSquaresMethod(RealMatrix, int, RotationMethod) - Constructor for class com.itemanalysis.psychometrics.factoranalysis.GeneralizedLeastSquaresMethod

generateData() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSimulator

Creates a two-dimensional array of item responses.

generateData(String, boolean, boolean) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSimulator

Generates a comma separated file (CSV file) of item responses.

generateData(String, String, boolean, boolean, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSimulator

Creates multiple CSV files of item response data.

generateStartValues(RealMatrix, RealMatrix, RealMatrix) - Method in interface com.itemanalysis.psychometrics.mixture.ComponentDistribution

generateStartValues(RealMatrix, RealMatrix, RealMatrix) - Method in class com.itemanalysis.psychometrics.mixture.MvNormalComponentDistribution

GeominCriteria - Class in com.itemanalysis.psychometrics.factoranalysis

GeominCriteria() - Constructor for class com.itemanalysis.psychometrics.factoranalysis.GeominCriteria

GeominCriteria(double) - Constructor for class com.itemanalysis.psychometrics.factoranalysis.GeominCriteria

getAdjustedSumScore(double) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtExaminee

getAdjustment() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary

Gets the extreme score adjustment factor.

getAdjustmentFactor() - Method in interface com.itemanalysis.psychometrics.kernel.Bandwidth

The bandwidth is multiplied by teh adjustment factor to increase or decrease smoothing.

getAdjustmentFactor() - Method in class com.itemanalysis.psychometrics.kernel.LeastSquaresCrossValidation

getAdjustmentFactor() - Method in class com.itemanalysis.psychometrics.kernel.LikelihoodCrossValidation

getAdjustmentFactor() - Method in class com.itemanalysis.psychometrics.kernel.NonparametricIccBandwidth

getAdjustmentFactor() - Method in class com.itemanalysis.psychometrics.kernel.ScottsBandwidth

getAdjustmentFactor() - Method in class com.itemanalysis.psychometrics.kernel.SimplePluginBandwidth

getAdjustmentFactor() - Method in class com.itemanalysis.psychometrics.kernel.UserSuppliedBandwidth

getAllScores() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getAnswerKey() - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring

This method return the answer key for an item.

getAnswerKey() - Method in interface com.itemanalysis.psychometrics.measurement.ItemScoring

getAttributeArray() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getBandwidth() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

Bandwith

getBandwidth() - Method in class com.itemanalysis.psychometrics.kernel.KernelRegression

getBandwidth() - Method in class com.itemanalysis.psychometrics.kernel.LocalLinearRegression

getBest() - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.Record

getBinAt(int) - Method in class com.itemanalysis.psychometrics.histogram.Cut

getBinAt(int) - Method in class com.itemanalysis.psychometrics.histogram.Histogram

Histogram bins are stored in an array list.

getBinMean() - Method in class com.itemanalysis.psychometrics.histogram.Bin

Gets the mean of the bin.

getBins(double[]) - Method in class com.itemanalysis.psychometrics.statistics.Deciles

getBins(double[]) - Method in class com.itemanalysis.psychometrics.statistics.Quintiles

getBinWidth() - Method in class com.itemanalysis.psychometrics.histogram.Bin

Gets the bin width.

getBinWidth() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getCategoryFitAt(int) - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

Gets category fit statistics for a particular category.

getCategoryScoreString(Object) - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring

getCategoryScoreString(Object) - Method in interface com.itemanalysis.psychometrics.measurement.ItemScoring

getChiSquare() - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood

getChiSquarePvalue() - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood

getCodeCount() - Method in class com.itemanalysis.psychometrics.irt.estimation.MstepParallel

getColCount(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCount(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCount(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCount(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumFreq(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumFreq(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumFreq(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumFreq(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumPct(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumPct(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumPct(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColCumPct(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColPct(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColPct(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColPct(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColPct(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColumnThresholds() - Method in class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation

getColumnThresholds() - Method in interface com.itemanalysis.psychometrics.polycor.PolychoricCorrelation

getColumnThresholdStandardErrors() - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood

getColUniqueCount() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColUniqueCountAtRow(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getColVariableNameForDatabase() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getCommunalityAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getCommunalityAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Returns the communality (sum of squared factor laodings) for a variable.

getCondensedResponseVectors(File, int, int, boolean) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseFileSummary

Summarize comma delimited file.

getCorrelationAt(int, int) - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getCorrelationAt(int, int) - Method in class com.itemanalysis.psychometrics.polycor.MixedCorrelationMatrix

getCorrelationMatrix() - Method in class com.itemanalysis.psychometrics.polycor.MixedCorrelationMatrix

getCount(Integer) - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank

getCount(Comparable<?>, Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getCount(int, int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getCount(long, long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getCount(char, char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getCov() - Method in class com.itemanalysis.psychometrics.mixture.MvNormalComponentDistribution

getCov(int) - Method in class com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel

getCovarianceAt(int, int) - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getCovarianceMatrix() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getDatabaseString() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

This method provides the results in a form that can be inserted into a database table.

getDatabaseTypeString() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

For use when creating database columns from this object

getDataType() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getDataType() - Method in class com.itemanalysis.psychometrics.data.VariableType

getDataTypeString() - Method in class com.itemanalysis.psychometrics.data.VariableType

getDate() - Method in class com.itemanalysis.psychometrics.tools.StopWatch

getDateAndTime() - Method in class com.itemanalysis.psychometrics.tools.StopWatch

getDegreesOfFreedom() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitG2

getDegreesOfFreedom() - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemFitStatistic

getDegreesOfFreedom() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitSX2

getDelta() - Method in class com.itemanalysis.psychometrics.irt.estimation.EMStatusEventObject

getDelta() - Method in class com.itemanalysis.psychometrics.irt.estimation.IterationRecord

Gets the maximum change in logits.

getDensityAt(int) - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

Gets a density value at the specified index of the array.

getDensityAt(int) - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

Gets an elements from the array of density values.

getDensityAt(int) - Method in class com.itemanalysis.psychometrics.histogram.Histogram

Gets a value value at the specified index.

getDensityAt(int) - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the item difficulty parameter.

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the item difficulty parameter.

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getDifficulty() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the item difficulty parameter.

getDifficulty() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

getDifficulty() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Classical item difficulty estimate

getDifficulty() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getDifficulty() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getDifficultyAt(Object) - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Return the proportion selecting a particular response option.

getDifficultyFlag() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getDifficultyPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getDifficultyPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the item difficulty standard error.

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the item difficulty standard error.

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getDifficultyStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getDifficultyStdError() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the item difficulty standard error.

getDifficultyZ() - Method in class com.itemanalysis.psychometrics.irt.equating.RobustZEquatingTest

getDindex() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

getDIndex() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getDIndex() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getDIndexBounds(int) - Method in class com.itemanalysis.psychometrics.measurement.ClassicalTestSummary

Computes the sum score values at the pth and 100-pth percentile.

getDIndexBounds() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getDindexLower() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

getDindexLower() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getDindexLower() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getDindexLowerMean() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

getDindexLowerMean() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getDindexUpper() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

getDindexUpper() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getDindexUpper() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getDindexUpperMean() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

getDindexUpperMean() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets item discrimination.

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets item discrimination.

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getDiscrimination() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets item discrimination.

getDiscrimination() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

Returns the discrimination for the response category, which may also be the whole item.

getDiscrimination() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Classical item discrimination estimate (i.e.

getDiscrimination() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getDiscrimination() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getDiscriminationAt(Object) - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Option-total score correlation.

getDiscriminationFlag(double) - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getDiscriminationPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getDiscriminationPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the standard error for the item discrimination estimate.

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the standard error for the item discrimination estimate.

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getDiscriminationStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getDiscriminationStdError() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the standard error for the item discrimination estimate.

getDiscrimintationZ() - Method in class com.itemanalysis.psychometrics.irt.equating.RobustZEquatingTest

getDroppedStatusAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

A polytomous item with at least one category with 0 observations is dropped from the analysis.

getEAP(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreDistribution

Computes the EAP estimate of examinee ability (theta) for a given summed score.

getEffectSize() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

getEffectSizeConfidenceInterval() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

getElapsedTime() - Method in class com.itemanalysis.psychometrics.tools.StopWatch

getETSDifClassification() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

getExpectedValues() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getExpectedValues() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

getExtremeItemAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Extreme items are items in whih all examinees obtain the maximum possitble item score or the minimum possible item score.

getExtremePersonAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

An extreme person is an examinee that obtains the minimum or maximum possible test score.

getF1(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

Criterion function F1 as described in Kim and Kolen (2007).

getF2(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

Criterion function F2 as described in Kim and Kolen (2007).

getFactorLoading() - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getFactorLoadingAt(int, int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getFactorLoadingAt(int, int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Return a factor loading for a particular item.

getFactorLoadings() - Method in class com.itemanalysis.psychometrics.factoranalysis.RotationResults

getFactorMethod() - Method in class com.itemanalysis.psychometrics.factoranalysis.ExploratoryFactorAnalysis

Return s the factor method for obtaining values of the estimates and other information as indicated in the FactorMethod interface.

getFitStat(String) - Method in class com.itemanalysis.psychometrics.mixture.InformationFitCriteria

getFitStat(String) - Method in class com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel

getFitStatistics() - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation

getFooter() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getFormat() - Method in class com.itemanalysis.psychometrics.texttable.TextTableColumnFormat

getFormXTccAtTheta(double) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getFormXThetaValues() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtTrueScoreEquating

getFormYTccAtTheta(double) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getFreqSum() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getFrequency() - Method in class com.itemanalysis.psychometrics.histogram.Bin

Gets the frequency of observations in the bin.

getFrequency() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

Gets the frequency count for this response vector.

getFrequencyAt(int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic

getFrequencyAt(int, int) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemFitStatistic

getFrequencyAt(double, String) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

Returns frequency of examinees with a given test score who gave a particular response.

getFrequencyAt(double, double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getFrequencyAt(double, int) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getFrequencyAt(double, String) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

Returns frequency of examinees with a given test score who gave a particular response.

getFrequencyAt(double, double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getFrequencyAt(double, int) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getFrequencyAt(String) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getFrequencyAt(int) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getFrequencyAt(double) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getFrequencyAt(String) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Frequency of a particular item response, where the response is given as a String.

getFrequencyAt(int) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Frequency of a particular item response, where the response is given as an int.

getFrequencyAt(double) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Frequency of a particular item response, where the response is given as a double.

getFrequencyAt(String) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

Provides the weighted frequency of a response.

getFrequencyAt(double) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getFrequencyAt(int) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getFunctionValue() - Method in class com.itemanalysis.psychometrics.factoranalysis.RotationResults

getFunctionValue() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer

getGeometricMean() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getGradient() - Method in class com.itemanalysis.psychometrics.factoranalysis.GeominCriteria

getGradient() - Method in class com.itemanalysis.psychometrics.factoranalysis.ObliminCriteria

getGradient() - Method in class com.itemanalysis.psychometrics.factoranalysis.QuartiminCriteria

getGradient() - Method in interface com.itemanalysis.psychometrics.factoranalysis.RotationCriteria

getGradient() - Method in class com.itemanalysis.psychometrics.factoranalysis.VarimaxCriteria

getGradient() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer

getGroupId() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary

Gets the groupId for this item.

getGroupID() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

Group indicator for use with multigroup estimation.

getGroupId() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getGroupId() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getGroupId() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the item group ID code.

getGroupId() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

A groupId uniquely identifies each item in the rating scale group.

getGroupNameIterator() - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection

An iterator of the group names.

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the pseudo-guessing (i.e.

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the pseudo-guessing (i.e.

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getGuessing() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getGuessing() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the pseudo-guessing (i.e.

getGuessingPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getGuessingPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the guessing parameter estimate standard error.

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the guessing parameter estimate standard error.

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getGuessingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getGuessingStdError() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the guessing parameter estimate standard error.

getHaebaraMethod() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking

getHaebaraObjectiveFunctionValue() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking

getHeader() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getHessian() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer

getID() - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection

A test or collection ID

getId() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getId() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getId() - Method in class com.itemanalysis.psychometrics.statistics.RobustZ

getIndex() - Method in class com.itemanalysis.psychometrics.data.VariableName

getIntercept() - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod

getIntercept() - Method in class com.itemanalysis.psychometrics.irt.equating.MeanMeanMethod

getIntercept() - Method in class com.itemanalysis.psychometrics.irt.equating.MeanSigmaMethod

getIntercept() - Method in class com.itemanalysis.psychometrics.irt.equating.RobustZEquatingTest

getIntercept() - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getIntercept() - Method in class com.itemanalysis.psychometrics.scaling.DefaultLinearTransformation

getIntercept() - Method in interface com.itemanalysis.psychometrics.scaling.LinearTransformation

getInterpolater() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getInterpolater2() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

Returns interpolator for squared evaluate

getIrtObservedScoreDistribution() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreCollection

getIrtObservedScoreDistribution() - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation

getItemDifficulty() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getItemDiscrimination() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getItemFitStatistic() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getItemFitStatistic() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getItemFitStatistic() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

getItemFitStatisticsAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Fit statistics for each item are stored in an array.

getItemGroup() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getItemParameterArray() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getItemParameterArray() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

getItemResponseModelAt(int) - Method in interface com.itemanalysis.psychometrics.irt.estimation.IrtEstimation

getItemResponseModelAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

An ItemResponseModel object is stored in an array for each item.

getItemResponseModelAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation

getItems() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Item response model objects are stored in an array.

getItemScoring() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getItemScoring() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getItemScoring() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getItemScoring() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

getItemSideScaleQuality() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

After estimation, overall indices of scale quality can be computed such as reliability and separation.

getItemStandardDeviation() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

getItemType() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getItemType() - Method in class com.itemanalysis.psychometrics.data.VariableType

getItemType() - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring

An item type is defined by its scoring.

getItemType() - Method in interface com.itemanalysis.psychometrics.measurement.ItemScoring

getItemTypeString() - Method in class com.itemanalysis.psychometrics.data.VariableType

getIteration() - Method in class com.itemanalysis.psychometrics.irt.estimation.EMStatusEventObject

getIterator() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

An iterator for item response models for this group.

getKernelFunction() - Method in class com.itemanalysis.psychometrics.kernel.KernelFactory

getKurtosis() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getKurtosis() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getLabel() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getLatentDistribution() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreDistribution

getLatentDistribution() - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation

getLoadingsForFactorAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getLoadingsForFactorAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Returns all factor loadings for a particular factor

getLoglikelihood() - Method in class com.itemanalysis.psychometrics.irt.estimation.EMStatusEventObject

getLoglikelihood() - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getLoglikelihood() - Method in class com.itemanalysis.psychometrics.irt.estimation.IterationRecord

Gets the log-likelihood.

getLogLikelihood() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Compute log-likelihood given the current values of item and person parameters.

getLowerBound() - Method in class com.itemanalysis.psychometrics.histogram.Bin

Gets the lower bound of the bin.

getLowerBounds() - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

Lower bounds of the parameters

getMax() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getMax() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getMaxCategory() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Each item can have a different number of score categories.

getMaximum() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

getMaximum() - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

getMaximum() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getMaximum() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getMaximumObservedItemScore() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

getMaximumPossibleItemScore() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getMaximumPossibleScore() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getMaximumPossibleScore() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

getMaximumPossibleTestScore() - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection

getMaxItemScore() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getMaxPossibleScore() - Method in class com.itemanalysis.psychometrics.scaling.ScoreBounds

getMaxPossibleTestScore() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreCollection

getMaxSampleSize() - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getMaxScoreWeight() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getMaxScoreWeight() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getMaxScoreWeight() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the largest possible score weight.

getMean() - Method in class com.itemanalysis.psychometrics.cmh.CmhTableRow

getMean() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

getMean() - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

getMean() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getMean() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getMean() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getMean() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

The item sample mean.

getMean() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getMean() - Method in class com.itemanalysis.psychometrics.mixture.MvNormalComponentDistribution

getMean(int) - Method in class com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel

getMean() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getMeanAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getMeanAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getMeanMeanMethod() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking

getMeanSigmaMethod() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking

getMessage() - Method in class com.itemanalysis.psychometrics.uncmin.UncminEventObject

getMidPoint() - Method in class com.itemanalysis.psychometrics.histogram.Bin

Get the bin midpiont.

getMin() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getMin() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getMinimum() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

getMinimum() - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

getMinimum() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getMinimum() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getMinimumObservedItemScore() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

getMinimumPossibleItemScore() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getMinimumPossibleScore() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getMinimumPossibleScore() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

getMinimumPossibleTestScore() - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection

getMinPossibleScore() - Method in class com.itemanalysis.psychometrics.scaling.ScoreBounds

getMinScoreWeight() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getMinScoreWeight() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getMinScoreWeight() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the lowest possible score weight.

getMissingDataCode() - Method in class com.itemanalysis.psychometrics.data.SpecialDataCodes

getMixingProportion() - Method in interface com.itemanalysis.psychometrics.mixture.ComponentDistribution

getMixingProportion() - Method in class com.itemanalysis.psychometrics.mixture.MvNormalComponentDistribution

getMixingProportion(int) - Method in class com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel

getName() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getName() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getName() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getName() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the name of the item.

getName() - Method in class com.itemanalysis.psychometrics.measurement.AbstractItemResponseSummary

getName() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Name of item

getName() - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring

getName() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getName() - Method in interface com.itemanalysis.psychometrics.measurement.ItemScoring

getName() - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getNcat() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getNcat() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getNcat() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the number of response categories.

getNormalizedScoreAt(int) - Method in class com.itemanalysis.psychometrics.scaling.NormalizedScore

getNormalizedScoreAt(double) - Method in class com.itemanalysis.psychometrics.scaling.NormalizedScore

getNotReachedCode() - Method in class com.itemanalysis.psychometrics.data.SpecialDataCodes

getNt() - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getNtAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getNumberIfItems() - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection

Number of items in the collection (i.e.

getNumberOfBins() - Method in class com.itemanalysis.psychometrics.histogram.Cut

getNumberOfBins() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

Gets the number of histogram bins.

getNumberOfCategories() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary

Gets the number of score categories for this item.

getNumberOfCategories() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

The number of score categories for this group is fixed.

getnumberOfColumns() - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

Does not count the first step because it is fixed to zero

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getNumberOfEstimatedParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getNumberOfEstimatedParameters() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Number of estimated parameters does not count any values fixed during estimation.

getNumberOfItems() - Method in interface com.itemanalysis.psychometrics.irt.estimation.IrtEstimation

getNumberOfItems() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

getNumberOfItems() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

The total number of items on the test is stored.

getNumberOfItems() - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation

getNumberOfParameters() - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemParamPrior

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemParamPriorBeta

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemParamPriorBeta4

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemParamPriorLogNormal

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemParamPriorNormal

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the number of item parameters.

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the number of item parameters.

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

Counts the first step which is always 0

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getNumberOfParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getNumberOfParameters() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the number of item parameters in the response model.

getNumberOfPeople() - Method in interface com.itemanalysis.psychometrics.irt.estimation.IrtEstimation

getNumberOfPeople() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

The total number of examinees is stored.

getNumberOfPeople() - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation

getNumberOfPoints() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

Gets the number of evaluation points (and corresponding number of density values).

getNumberOfPoints() - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

Number of evaluation points (and corresponding number of density values) in this approximation.

getNumberOfPoints() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

Gets the number of evaluation points (and corresponding number of value values).

getNumberOfPoints() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getNumberOfScores() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreDistribution

getNumberOfVariables() - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getObjectiveFunction() - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getObjectiveFunctionGradient() - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getObservedScoreDistributionAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreCollection

getOmittedCode() - Method in class com.itemanalysis.psychometrics.data.SpecialDataCodes

getOptionOutputArray() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary

Create an Object array that contains the statistics for every options for this item.

getOriginalVariableName() - Method in class com.itemanalysis.psychometrics.data.VariableName

getOutputArray() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschScoreTable

getOutputString() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getOutputString() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Formatted output for the item mean and standard deviation.

getOutputString() - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

Formatted output for the item mean and standard deviation.

getOutputStringAt(String) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getOutputStringAt(String) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

getOutputStringAt(int) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

getOutputStringAt(double) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Formatted output for a particlar response.

getOutputStringAt(String) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

Formatted output for a particlar response.

getParameterArray(double, double[], double[]) - Method in class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation

getParameters() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer

getPct(Comparable<?>, Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getPct(int, int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getPct(long, long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getPct(char, char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getPercentile(double) - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getPercentileRankAt(int) - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank

getPersonEstimateAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Person ability estimates are stored in an array.

getPersonEstimates() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Person ability estimates are stored in an array of doubles.

getPersonEstimateStdErrorAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Person estimate standard errors are stored in an array of doubles.

getPersonFitStatisticsAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Computes person fit statistics for the examinee at the specified index.

getPersons() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Person ability estimates are stored as an array of doubles.

getPersonSideScaleQuality() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

After estimation, overall indices of scale quality can be computed such as reliability and separation.

getPersonStdError() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Standard errors of person ability estimates are stored as an array of doubles.

getPhi() - Method in class com.itemanalysis.psychometrics.factoranalysis.RotationResults

getPointAt(int) - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

Gets an evaluation points at the specified index of the array.

getPointAt(int) - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

Gets an element from the array of evaluation points.

getPointAt(int) - Method in class com.itemanalysis.psychometrics.histogram.Histogram

Gets an evaluation points at the specified index.

getPointAt(int) - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getPoints() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

getPoints() - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

Gets an array of evaluation points.

getPoints() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

Gets an array of evaluation points.

getPoints() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getPoints() - Method in class com.itemanalysis.psychometrics.kernel.KernelRegression

getPoints() - Method in class com.itemanalysis.psychometrics.kernel.LocalLinearRegression

getPoints(Object) - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getPoints() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

getPopulationStandardDeviation() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getPopulationStandardDeviation() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

The item population standard deviation (i.e.

getPopulationStandardDeviationAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getPopulationStandardDeviationAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getPopulationStandardDeviationAt(String) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getPopulationStandardDeviationAt(int) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getPopulationStandardDeviationAt(double) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getPopulationStandardDeviationAt(String) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Population standard deviation of a particular item response, where the response is given as a String.

getPopulationStandardDeviationAt(int) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Population standard deviation of a particular item response, where the response is given as an int.

getPopulationStandardDeviationAt(double) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Population standard deviation of a particular item response, where the response is given as a double.

getPopulationVariance() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getPopulationVariance() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

The item population variance (i.e.

getPopulationVarianceAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getPopulationVarianceAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getPositionInArray() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary

Stores the items position in the array of item response models.

getPositions() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

The columns of data for each item in the group is recorded and stored in an array.

getPosteriorProbability() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

getPrecision() - Method in class com.itemanalysis.psychometrics.texttable.TextTableColumnFormat

getPrincipalComponentsForStandardizedResiduals(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Conducts a principal components analysis of standardized residuals.

getProbabilityAt(int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreDistribution

Provides the probability of a summed score given a value of theta.

getProportionAt(int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic

getProportionAt(int, int) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemFitStatistic

getProportionAt(double, String) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getProportionAt(double, double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getProportionAt(double, int) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getProportionAt(double, String) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getProportionAt(double, double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getProportionAt(double, int) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getProportionAt(String) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getProportionAt(int) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getProportionAt(double) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getProportionAt(String) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Relative frequency of a particular item response, where the response is given as a String.

getProportionAt(int) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Relative frequency of a particular item response, where the response is given as an int.

getProportionAt(double) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Relative frequency of a particular item response, where the response is given as a double.

getProportionAt(String) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

Provides the weighted proportion of a response.

getProportionAt(double) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getProportionAt(int) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getProportionOfExplainedVarianceAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getProportionOfExplainedVarianceAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Proportion of explained variance

getProportionOfVarianceAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getProportionOfVarianceAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Returns the proportion of total variance for a factor.

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

A proposal difficulty value is obtained during each iteration of the estimation routine.

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

A proposal difficulty value is obtained during each iteration of the estimation routine.

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getProposalDifficulty() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getProposalDifficulty() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

A proposal difficulty value is obtained during each iteration of the estimation routine.

getProposalDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getProposalDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getProposalDiscrimination() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getProposalThresholds() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getProposalThresholds() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

During each iteration of the joint maximum likelihood routine, preliminary threshold estimates are obtained.

getPValue() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

getPValue() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitG2

getPValue() - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemFitStatistic

getPValue() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitSX2

getPvalue() - Method in class com.itemanalysis.psychometrics.statistics.RobustZ

getPvalueAt(int, int) - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getQ1(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod

getQ2(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod

getRatingScaleGroupAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

Polytomous response models be long to a single RaschRatingScaleGroup.

getRegressionMap() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getRegularizerParamRange(double[]) - Method in interface com.itemanalysis.psychometrics.optimization.HasRegularizerParamRange

getResidualAt(int, int) - Method in interface com.itemanalysis.psychometrics.irt.estimation.IrtEstimation

getResidualAt(int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

A residual is the difference between the observed and expected item response.

getResponseAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

Get item response at given item position.

getResponseAt(VariableName) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

Get item response by the variable name

getResponseAt(String) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

getResponseAt(int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

getResponseVector() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtExaminee

getResponseVector() - Method in class com.itemanalysis.psychometrics.scaling.RawScore

getResponseVectorIndex() - Method in class com.itemanalysis.psychometrics.scaling.RawScore

getResponseVectors(String, boolean) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseFileSummary

getResponseVectors(File, boolean) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseFileSummary

getResponseVectors(File, int, int, boolean) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseFileSummary

Reads a comma delimited file.

getRho(int) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.QNInfo

getRjkAt(int, int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getRjkAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getRjktAt(int, int) - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepItemEstimates

getRobustZ() - Method in class com.itemanalysis.psychometrics.statistics.RobustZ

getRotationMatrix() - Method in class com.itemanalysis.psychometrics.factoranalysis.RotationResults

getRotationMethod() - Method in class com.itemanalysis.psychometrics.factoranalysis.RotationResults

getRowAt(int) - Method in class com.itemanalysis.psychometrics.texttable.TextTable

getRowCount(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCount(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCount(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCount(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumFreq(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumFreq(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumFreq(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumFreq(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumPct(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumPct(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumPct(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowCumPct(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowPct(Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowPct(int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowPct(long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowPct(char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowSize() - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow

getRowThresholds() - Method in class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation

getRowThresholds() - Method in interface com.itemanalysis.psychometrics.polycor.PolychoricCorrelation

getRowThresholdStandardErrors() - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood

getRowUniqueCount() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getRowVariableNameForDatabase() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getS(int) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.QNInfo

getSampleSize() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

getSampleSize() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getSampleSize() - Method in class com.itemanalysis.psychometrics.kernel.KernelRegression

getSampleSize() - Method in class com.itemanalysis.psychometrics.kernel.LocalLinearRegression

getSampleSize() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getSampleSize() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getSampleStandardDeviationAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getSampleStandardDeviationAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getSampleStandardDeviationAt(String) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getSampleVarianceAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalNumericItemResponseSummary

getSampleVarianceAt(double) - Method in class com.itemanalysis.psychometrics.measurement.ConditionalTextItemResponseSummary

getScale() - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod

getScale() - Method in class com.itemanalysis.psychometrics.irt.equating.MeanMeanMethod

getScale() - Method in class com.itemanalysis.psychometrics.irt.equating.MeanSigmaMethod

getScale() - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getScale() - Method in class com.itemanalysis.psychometrics.scaling.DefaultLinearTransformation

getScale() - Method in interface com.itemanalysis.psychometrics.scaling.LinearTransformation

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getScalingConstant() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getScalingConstant() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

getScoreAt(String) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getScoreAt(int) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getScoreAt(double) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getScoreAt(String) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Returns the score that is assigned to an item response.

getScoreAt(int) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Returns the score that is assigned to an item response.

getScoreAt(double) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Returns the score that is assigned to an item response.

getScoreAt(String) - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

Item scores should only be accessed through this method.

getScoreCategoryAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary

Gets the score point value for a particular category.

getScoreconversionTableForOutputter() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

getScorePoints() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtTrueScoreEquating

Score points at which y equivalent is sought

getScoreValue(Object) - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getScoreVector() - Method in class com.itemanalysis.psychometrics.scaling.RawScore

getScoreWeights() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

getScoreWeights() - Method in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

getScoreWeights() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets an array fo score weights.

getScoreWeights() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

Each category has an associated score weight.

getSeriesForChart() - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

getSize() - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank

getSize() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getSize() - Method in class com.itemanalysis.psychometrics.texttable.TextTableColumnFormat

getSkewness() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getSkewness() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the slipping (i.e.

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getSlipping() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getSlipping() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the slipping (i.e.

getSlippingPrior() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the guessing parameter estimate standard error.

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getSlippingStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getSlippingStdError() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the slipping parameter estimate standard error.

getSlope() - Method in class com.itemanalysis.psychometrics.irt.equating.RobustZEquatingTest

getSpecialDataCodes() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

getStandardDeviation() - Method in interface com.itemanalysis.psychometrics.distribution.DistributionApproximation

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.kernel.KernelDensity

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.measurement.CategoryResponseSummary

getStandardDeviation() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

The item sample standard deviation (i.e.

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getStandardDeviation() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics

getStandardDeviationAt(String) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getStandardDeviationAt(int) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getStandardDeviationAt(double) - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getStandardDeviationAt(String) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Sample standard deviation of a particular item response, where the response is given as a String.

getStandardDeviationAt(int) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Sample standard deviation of a particular item response, where the response is given as an int.

getStandardDeviationAt(double) - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

Sample standard deviation of a particular item response, where the response is given as a double.

getStandardErrorAt(int, int) - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getStandardErrorAt(int, int) - Method in class com.itemanalysis.psychometrics.polycor.MixedCorrelationMatrix

getStandardizedUnweightedMeanSquare() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschFitStatistics

Standardized OUTFIT

getStandardizedWeightedMeanSquare() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschFitStatistics

Standardized INFIT

getStartValues() - Method in class com.itemanalysis.psychometrics.factoranalysis.GeneralizedLeastSquaresMethod

getStartValues() - Method in class com.itemanalysis.psychometrics.factoranalysis.MaximumLikelihoodMethod

getStartValues() - Method in class com.itemanalysis.psychometrics.factoranalysis.MINRESmethod

getStartValues() - Method in class com.itemanalysis.psychometrics.factoranalysis.WeightedLeastSquaresMethod

getStatus() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtTrueScoreEquating

Newton-Rhapson convergence status

getStatus() - Method in class com.itemanalysis.psychometrics.irt.estimation.EMStatusEventObject

getStdDev() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Item standard deviation

getStdDev() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics

getStdDev() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats

getStdDevAt(Object) - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem

Standard deviation for the proportion of examinees endorsing teh response option.

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getStepParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getStepParameters() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Polytomous item response models may have step parameters.

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getStepStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getStepStdError() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets that standard errors for each step parameter estimate.

getStockingLordMethod() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking

getStockingLordObjectiveFunctionValue() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking

getSubscale(boolean) - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

This version of getItemGroup is needed for com.itemanalysis.psychometrics.rasch.JMLE.

getSubscaleScore() - Method in class com.itemanalysis.psychometrics.scaling.RawScore

getSubscaleScoreAt(String) - Method in class com.itemanalysis.psychometrics.scaling.RawScore

getSumNt() - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getSumOfValues() - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getSumRkt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates

getSumScore() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

getSumScoreAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

getSumsOfSquaresAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getSumsOfSquaresAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Sum of squared factor loading for a particular factor.

getTable() - Method in class com.itemanalysis.psychometrics.scaling.ScoreTable

getTable() - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable

getTermCode() - Method in class com.itemanalysis.psychometrics.irt.estimation.EMStatusEventObject

getTerminationCode() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer

ITRMCD = 0: Optimal solution found ITRMCD = 1: Terminated with gradientAt small, xpls is probably optimal ITRMCD = 2: Terminated with stepsize small, xpls is probably optimal ITRMCD = 3: Lower point cannot be found, xpls is probably optimal ITRMCD = 4: Iteration limit (150) exceeded ITRMCD = 5: Too many large steps, function may be unbounded

getTerminationCode() - Method in class com.itemanalysis.psychometrics.uncmin.UncminStatusEventObject

getTerminationMessage() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer

getTestItemOrder() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getText() - Method in class com.itemanalysis.psychometrics.data.VariableLabel

getText() - Method in class com.itemanalysis.psychometrics.data.VariableName

Deprecated.

getTheta() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtExaminee

getThetaAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitG2

getThetaAt(int) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemFitStatistic

getThetaAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitSX2

getThresholdAt(int) - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

Gets threshold estimates for a particular category.

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getThresholdParameters() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getThresholdParameters() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Polytomous item response models may use an overall item difficulty parameter and two or more threshold parameters.

getThresholds() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

Threshold parameters represent the point where the probability of scoring in two adjacent categories is equal.

getThresholds() - Method in interface com.itemanalysis.psychometrics.polycor.PolyserialCorrelation

getThresholds() - Method in class com.itemanalysis.psychometrics.polycor.PolyserialLogLikelihoodTwoStep

getThresholds() - Method in class com.itemanalysis.psychometrics.polycor.PolyserialMaximumLikelihood

getThresholds() - Method in class com.itemanalysis.psychometrics.polycor.PolyserialPlugin

getThresholdStandardError() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

Each threshold parameter has an associated standard error.

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getThresholdStdError() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getThresholdStdError() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the array of standard errors fort eh threshold parameter estimates.

getThresholdStdErrorAt(int) - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup

Gets a specific threshold standard error.

getTime() - Method in class com.itemanalysis.psychometrics.tools.StopWatch

getTitle() - Method in class com.itemanalysis.psychometrics.irt.estimation.EMStatusEventObject

getTotalCount() - Method in class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic

getTotalFrequency() - Method in class com.itemanalysis.psychometrics.measurement.AbstractItemResponseSummary

getTotalFrequency() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getTotalFrequency() - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getTotalFrequencyOutputString() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getTotalFrequencyOutputString() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

getTotalFrequencyOutputString() - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary

getTSharpAtTheta(double[], double) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getTStarAtTheta(double[], double) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

getType() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getType() - Method in interface com.itemanalysis.psychometrics.histogram.BinCalculation

getType() - Method in class com.itemanalysis.psychometrics.histogram.FreedmanDiaconisBinCalculation

getType() - Method in class com.itemanalysis.psychometrics.histogram.ScottBinCalculation

getType() - Method in class com.itemanalysis.psychometrics.histogram.SimpleBinCalculation

getType() - Method in class com.itemanalysis.psychometrics.histogram.SturgesBinCalculation

getType() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Gets the type of item response model.

getType() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Gets the type of item response model.

getType() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

getType() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

getType() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

getType() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

getType() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

getType() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Gets the type of item response model.

getType() - Method in class com.itemanalysis.psychometrics.reliability.CoefficientAlpha

getType() - Method in class com.itemanalysis.psychometrics.reliability.FeldtBrennan

getType() - Method in class com.itemanalysis.psychometrics.reliability.FeldtGilmer

getType() - Method in class com.itemanalysis.psychometrics.reliability.GuttmanLambda

getType() - Method in class com.itemanalysis.psychometrics.reliability.KR21

getType() - Method in class com.itemanalysis.psychometrics.reliability.RajuBeta

getType() - Method in interface com.itemanalysis.psychometrics.reliability.ScoreReliability

Type of reliability estimate

getUniquenessAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getUniquenessAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Returns the variabl's uniqueness (i.e.

getUnweightedMeanSquare() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschCategoryFitStatistic

Computes and the returns the OUTFIT mean square fit statistic.

getUnweightedMeanSquare() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschFitStatistics

Computes and return the OUTFIT mean square fit statistic.

getUpperBound() - Method in class com.itemanalysis.psychometrics.histogram.Bin

Gets the upper bound of the bin.

getUpperBounds() - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

Upper bound of the parameters

getValidResponseCount() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector

getValidSumScoreAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation

The valid sum score is the sum score based on the nonextreme items.

getValue() - Method in class com.itemanalysis.psychometrics.factoranalysis.GeominCriteria

getValue() - Method in class com.itemanalysis.psychometrics.factoranalysis.ObliminCriteria

getValue() - Method in class com.itemanalysis.psychometrics.factoranalysis.QuartiminCriteria

getValue() - Method in interface com.itemanalysis.psychometrics.factoranalysis.RotationCriteria

getValue() - Method in class com.itemanalysis.psychometrics.factoranalysis.VarimaxCriteria

getValue() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitG2

getValue() - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemFitStatistic

getValue() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitSX2

getValueAt(int) - Method in class com.itemanalysis.psychometrics.histogram.Histogram

getValues(Object) - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

getValues(Object) - Method in class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

getVarcharSize() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes

getVariableName() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel

getVariableNameAt(int) - Method in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getVariableNameAt(int) - Method in interface com.itemanalysis.psychometrics.factoranalysis.FactorMethod

Returns the name of the variable at index.

getVariance() - Method in class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

getVariance() - Method in interface com.itemanalysis.psychometrics.measurement.ItemResponseSummary

getVariance() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary

The item sample variance (i.e.

getVariance() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

getVarianceAt(int) - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix

getVector(int, double) - Static method in class com.itemanalysis.psychometrics.factoranalysis.MatrixUtils

Creates a vector (1 X size matrix) with all elements set to value.

getWeightedMeanSquare() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschCategoryFitStatistic

Computes and then returns the INFIT mean square fit statistic.

getWeightedMeanSquare() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschFitStatistics

Computes and returns the INFIT mean square fit statistic.

getY(int) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.QNInfo

getYEquivalentTrueScores() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtTrueScoreEquating

GPArotation - Class in com.itemanalysis.psychometrics.factoranalysis

This class is a translation of the GPArotation package in R.

GPArotation() - Constructor for class com.itemanalysis.psychometrics.factoranalysis.GPArotation

gradient() - Method in class com.itemanalysis.psychometrics.analysis.AbstractDiffFunction

gradient(double[]) - Method in class com.itemanalysis.psychometrics.analysis.AbstractDiffFunction

Numerically compute gradientAt by the central difference method.

gradient() - Method in class com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction

gradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod

gradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod

gradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihood

Method required by Uncmin_methods interface

gradient(double[], double[]) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihoodFunction

Computes the gradientAt of the loglikelihood function for an item.

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Computes the gradientAt (vector of first partial derivatives) with respect to the item parameters.

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL

Computes gradientAt using item parameters stored in the object.

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Computes the gradientAt (vector of first partial derivatives) with respect to the item parameters.

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL

Computes gradientAt using item parameters stored in the object.

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

Gradient of item response model with respect to (wrt) item parameters.

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM

Gradient of item response model with respect to (wrt) item parameters.

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM

Computes the gradientAt of teh item response model with respect to the item parameters

gradient(double, int) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

Gradient of item response model with respect to (wrt) item parameters.

gradient(double, double[], int, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2

Gradient of item response model with respect to (wrt) item parameters.

gradient(double, int) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Computes the gradientAt at theta.

gradient(double, double[], int, double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel

Computes the gradientAt (vector of first partial derivatives) with respect to the item parameters.

gradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood.MaximumLikelihoodFunction

gradient(double[], double[]) - Method in interface com.itemanalysis.psychometrics.uncmin.Uncmin_methods

gradientAt(double[]) - Method in class com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction

Numerically compute gradientAt by the central difference method.

grdchk_f77(int, double[], Uncmin_methods, double[], double[], double[], double[], double[], double, double, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin

The grdchk_f77 method checks the analytic gradientAt supplied by the user.

grdchk_f77(int, double[], Uncmin_methods, double[], double[], double[], double[], double[], double, double, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77

The grdchk_f77 method checks the analytic gradientAt supplied by the user.

groupId - Variable in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel

groupId - Variable in class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

groupIndex - Variable in class com.itemanalysis.psychometrics.irt.model.IrmCollection

groupModelIterator(String) - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection

An iterator for the item response models for a specific group of items.

GroupModelIterator(String) - Constructor for class com.itemanalysis.psychometrics.irt.model.IrmCollection.GroupModelIterator

GuttmanLambda - Class in com.itemanalysis.psychometrics.reliability

Computes Guttman's Lambda-2 reliability coefficient.

GuttmanLambda(CovarianceMatrix) - Constructor for class com.itemanalysis.psychometrics.reliability.GuttmanLambda

GuttmanLambda(double[][]) - Constructor for class com.itemanalysis.psychometrics.reliability.GuttmanLambda

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