- table - Variable in class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic
-
- table - Variable in class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation
-
- terminateOnAverageImprovement(boolean) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer
-
- terminateOnEvalImprovement(boolean) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer
-
- terminateOnMaxItr(int) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer
-
- terminateOnNumericalZero(boolean) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer
-
- terminateOnRelativeNorm(boolean) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer
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- terminationCodeString(int) - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminStatusListener
-
- testInformationAt(double) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtExaminee
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- TestSummary - Class in com.itemanalysis.psychometrics.measurement
-
Currently this class stores the test score data in memory.
- TestSummary(int, int, ArrayList<Integer>, ArrayList<VariableAttributes>, boolean, boolean, boolean) - Constructor for class com.itemanalysis.psychometrics.measurement.TestSummary
-
- TestSummary(int, int, int[], ArrayList<VariableAttributes>, boolean, boolean, boolean) - Constructor for class com.itemanalysis.psychometrics.measurement.TestSummary
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- TestSummary(int, int, int[], LinkedHashMap<VariableName, VariableAttributes>, boolean, boolean, boolean) - Constructor for class com.itemanalysis.psychometrics.measurement.TestSummary
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- TextItemResponseSummary - Class in com.itemanalysis.psychometrics.measurement
-
Stores the item responses and frequency of item resposes for an item.
- TextItemResponseSummary(VariableName) - Constructor for class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary
-
- TextTable - Class in com.itemanalysis.psychometrics.texttable
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- TextTable() - Constructor for class com.itemanalysis.psychometrics.texttable.TextTable
-
- TextTableColumnFormat - Class in com.itemanalysis.psychometrics.texttable
-
- TextTableColumnFormat() - Constructor for class com.itemanalysis.psychometrics.texttable.TextTableColumnFormat
-
- TextTableColumnFormat.OutputAlignment - Enum in com.itemanalysis.psychometrics.texttable
-
- TextTablePosition - Enum in com.itemanalysis.psychometrics.texttable
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- TextTableRow - Class in com.itemanalysis.psychometrics.texttable
-
- TextTableRow(int) - Constructor for class com.itemanalysis.psychometrics.texttable.TextTableRow
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- thresholds - Variable in class com.itemanalysis.psychometrics.polycor.AbstractPolyserialCorrelation
-
- TijAt(int) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary
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Frequencies for each category are stored in an array.
- Tip() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary
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Total number of exmainees responding to this item.
- toBinaryString(byte[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- toContinue() - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.Record
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This function checks for convergence through first
order optimality, numerical convergence (i.e., zero numerical
gradientAt), and also by checking the average improvement.
- toInt(DataType) - Static method in enum com.itemanalysis.psychometrics.data.DataType
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- toInt(ItemType) - Static method in enum com.itemanalysis.psychometrics.data.ItemType
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- toString() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
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- toString() - Method in class com.itemanalysis.psychometrics.cmh.CmhTableRow
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- toString() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel
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- toString() - Method in class com.itemanalysis.psychometrics.data.Category
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- toString() - Method in class com.itemanalysis.psychometrics.data.SpecialDataCodes
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Prints the code string.
- toString() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes
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- toString() - Method in class com.itemanalysis.psychometrics.data.VariableLabel
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- toString() - Method in class com.itemanalysis.psychometrics.data.VariableName
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Returns the variable name after stripping special characters and spaces from teh name but without the
"x" prefix and suffix.
- toString() - Method in class com.itemanalysis.psychometrics.data.VariableType
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- toString() - Method in class com.itemanalysis.psychometrics.distribution.ContinuousDistributionApproximation
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- toString() - Method in class com.itemanalysis.psychometrics.distribution.NormalDistributionApproximation
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- toString() - Method in class com.itemanalysis.psychometrics.distribution.UniformDistributionApproximation
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- toString() - Method in class com.itemanalysis.psychometrics.distribution.UserSuppliedDistributionApproximation
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Deprecated.
- toString() - Method in class com.itemanalysis.psychometrics.factoranalysis.RotationResults
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- toString() - Method in class com.itemanalysis.psychometrics.histogram.Cut
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- toString() - Method in class com.itemanalysis.psychometrics.histogram.Histogram
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A string representation of the histogram.
- toString() - Method in class com.itemanalysis.psychometrics.irt.equating.IrtScaleLinking
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- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates
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- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtObservedScoreDistribution
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- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitG2
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- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemFitSX2
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- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary
-
A string representation of the frequency counts.
- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector
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A string representation of the response string.
- toString() - Method in class com.itemanalysis.psychometrics.irt.estimation.IterationRecord
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A string for displaying results.
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
-
A string representation of the item parameters.
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
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A string representaiton of the item parameters.
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
-
Displays the item parameter values and standard errors.
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
-
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
-
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
-
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
-
Displays the item parameter values and standard errors.
- toString() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup
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Category frequency summaries are stored in this object.
- toString() - Method in class com.itemanalysis.psychometrics.kernel.KernelFactory
-
- toString() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem
-
Provide all requested statistics for the item.
- toString() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemStatistics
-
A string that contains all of the item statistics.
- toString() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary
-
- toString() - Method in class com.itemanalysis.psychometrics.measurement.ItemStats
-
A string that contains all of the item statistics.
- toString() - Method in class com.itemanalysis.psychometrics.measurement.NumericItemResponseSummary
-
- toString() - Method in class com.itemanalysis.psychometrics.measurement.TextItemResponseSummary
-
- toString(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(double[], NumberFormat) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(float[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(float[], NumberFormat) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(int[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(int[], NumberFormat) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(byte[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString(byte[], NumberFormat) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- toString() - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.CoefficientAlpha
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.CSEM
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.CSEMList
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.FeldtBrennan
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.FeldtGilmer
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.GuttmanLambda
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.Huynh
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.KR21
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.RajuBeta
-
- toString() - Method in class com.itemanalysis.psychometrics.reliability.ReliabilitySummary
-
- toString() - Method in class com.itemanalysis.psychometrics.scaling.DefaultLinearTransformation
-
- toString() - Method in class com.itemanalysis.psychometrics.scaling.NormalizedScore
-
- toString() - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank
-
- toString() - Method in class com.itemanalysis.psychometrics.scaling.ScoreTable
-
- toString() - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics
-
- toString(String) - Method in class com.itemanalysis.psychometrics.statistics.StorelessDescriptiveStatistics
-
- toString() - Method in class com.itemanalysis.psychometrics.texttable.TextTable
-
- toString() - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
-
- toString() - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminStatusListener
-
- total() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
-
- totalCount - Variable in class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic
-
- totalFrequency - Variable in class com.itemanalysis.psychometrics.measurement.AbstractItemResponseSummary
-
- totalVariance() - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix
-
- totalVariance() - Method in class com.itemanalysis.psychometrics.reliability.AbstractScoreReliability
-
- totalVariance() - Method in interface com.itemanalysis.psychometrics.reliability.ScoreReliability
-
Total observed score variance.
- TpjAt(int) - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup
-
This count is part of the threshold update in the partial credit
and rating scale model.
- transform(double) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod
-
- transform(double) - Method in class com.itemanalysis.psychometrics.irt.equating.MeanMeanMethod
-
- transform(double) - Method in class com.itemanalysis.psychometrics.irt.equating.MeanSigmaMethod
-
- transform(double) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod
-
- transform(double) - Method in class com.itemanalysis.psychometrics.scaling.DefaultLinearTransformation
-
- transform(double) - Method in interface com.itemanalysis.psychometrics.scaling.LinearTransformation
-
- TransformationMethod - Enum in com.itemanalysis.psychometrics.irt.equating
-
- transformedValue() - Method in class com.itemanalysis.psychometrics.scaling.RawScore
-
- tregup_f77(int, double[], double[], double[], double[][], Uncmin_methods, double[], double[], boolean[], double[], double[], double[], int[], double[], double[], double[], double[], boolean[], int, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
-
The tregup_f77 method decides whether to accept xpls = x + sc as the next
iterate and update the trust region dlt.
- tregup_f77(int, double[], double[], double[], double[][], Uncmin_methods, double[], double[], boolean[], double[], double[], double[], int[], double[], double[], double[], double[], boolean[], int, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
-
The tregup_f77 method decides whether to accept xpls = x + sc as the next
iterate and update the trust region dlt.
- TriangleKernel - Class in com.itemanalysis.psychometrics.kernel
-
- TriangleKernel() - Constructor for class com.itemanalysis.psychometrics.kernel.TriangleKernel
-
- TriweightKernel - Class in com.itemanalysis.psychometrics.kernel
-
- TriweightKernel() - Constructor for class com.itemanalysis.psychometrics.kernel.TriweightKernel
-
- trueScore() - Method in class com.itemanalysis.psychometrics.reliability.CSEM
-
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
-
Computes probability of a response under a linear transformation.
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
-
Computes probability of a response under a linear transformation.
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
-
Computes the expected value using parameters stored in the object.
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
-
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
-
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
-
- tSharpExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
-
Computes the expected value using parameters stored in the object.
- tSharpExpectedValue(double, double, double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
-
Computes probability of a response under a linear transformation.
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
-
Computes probability of a response under a linear transformation.
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
-
Computes probability of a response under a linear transformation.
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
-
Returns the probability of a response with a linear transformation of the parameters.
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
-
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
-
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
-
- tSharpProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
-
Returns the probability of a response with a linear transformation of the parameters.
- tSharpProbability(double, int, double, double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
-
Computes probability of a response under a linear transformation.
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
-
Computes item expected value under a linear transformation.
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
-
Computes item expected value under a linear transformation.
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
-
Computes the expected value using parameters stored in the object.
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
-
computes the expected value using parameters stored in the object
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
-
computes the expected value using parameters stored in the object
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
-
computes the expected value using parameters stored in the object
- tStarExpectedValue(double, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
-
Computes the expected value using parameters stored in the object.
- tStarExpectedValue(double, double, double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
-
Computes item expected value under a linear transformation.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
-
Computes probability of a response under a linear transformation.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
-
Computes probability of a response under a linear transformation.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
-
Returns the probability of a response with a linear transformation of the parameters.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
-
Returns the probability of a response with a linear transformatin of the parameters.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
-
Returns the probability of a response with a linear transformatin of the parameters.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
-
Returns the probability of a response with a linear transformatin of the parameters.
- tStarProbability(double, int, double, double) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
-
Returns the probability of a response with a linear transformation of the parameters.
- tStarProbability(double, int, double, double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
-
Computes probability of a response under a linear transformation.
- tukey(double, double) - Method in class com.itemanalysis.psychometrics.statistics.NormalScores
-
- TwoStepLikelihoodFunction(double[], double[]) - Constructor for class com.itemanalysis.psychometrics.polycor.PolychoricTwoStep.TwoStepLikelihoodFunction
-
- TwoWayTable - Class in com.itemanalysis.psychometrics.statistics
-
- TwoWayTable() - Constructor for class com.itemanalysis.psychometrics.statistics.TwoWayTable
-