- validCode(Object) - Method in class com.itemanalysis.psychometrics.cmh.CmhTableRow
-
- validResponses - Variable in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector
-
Number of non-missing item responses.
- validRow - Variable in class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic
-
- value(double[]) - Method in class com.itemanalysis.psychometrics.analysis.AbstractDiffFunction
-
- value(double[]) - Method in class com.itemanalysis.psychometrics.analysis.ExampleMultivariateFunction
-
- value(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod
-
Function to be minimized by ConjugateGradientSearch
Uncmin index starts at 1
argument[1]=B (intercept) equating constant
argument[2]=A (slope) equating constant
- value(double) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod
-
Method needed for Brent optimizer when minimizing teh objective function for the Rasch family of models.
- value(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod
-
Function to be minimized by optimization class
Uncmin index starts at 1
argument[1]=B (intercept) equating constant
argument[2]=A (slope) equating constant
- value(double) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod
-
Method needed for Brent optimizer when minimizing teh objective function for the Rasch family of models.
- value(DerivativeStructure) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtExaminee
-
Returns value of loglikelihood using DerivativeStructure per interface requirements
- value(double) - Method in class com.itemanalysis.psychometrics.irt.estimation.IrtExaminee
-
- value() - Method in interface com.itemanalysis.psychometrics.kernel.Bandwidth
-
The value of teh bandwidth
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.BiweightKernel
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.CosineKernel
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.EpanechnikovKernel
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.GaussianKernel
-
- value(double) - Method in interface com.itemanalysis.psychometrics.kernel.KernelFunction
-
Computes the value of teh kernel at a given point
- value() - Method in class com.itemanalysis.psychometrics.kernel.KernelRegression
-
Computes teh kernel regression estimate at teh evaluation points.
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.LeastSquaresCrossValidation
-
- value() - Method in class com.itemanalysis.psychometrics.kernel.LeastSquaresCrossValidation
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.LikelihoodCrossValidation
-
- value() - Method in class com.itemanalysis.psychometrics.kernel.LikelihoodCrossValidation
-
- value() - Method in class com.itemanalysis.psychometrics.kernel.NonparametricIccBandwidth
-
- value() - Method in class com.itemanalysis.psychometrics.kernel.ScottsBandwidth
-
- value() - Method in class com.itemanalysis.psychometrics.kernel.SimplePluginBandwidth
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.TriangleKernel
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.TriweightKernel
-
- value(double) - Method in class com.itemanalysis.psychometrics.kernel.UniformKernel
-
- value() - Method in class com.itemanalysis.psychometrics.kernel.UserSuppliedBandwidth
-
- value() - Method in class com.itemanalysis.psychometrics.polycor.Covariance
-
- value() - Method in class com.itemanalysis.psychometrics.polycor.CovarianceMatrix
-
- value() - Method in class com.itemanalysis.psychometrics.polycor.PearsonCorrelation
-
- value(boolean) - Method in class com.itemanalysis.psychometrics.polycor.PearsonCorrelation
-
- value() - Method in interface com.itemanalysis.psychometrics.polycor.PolychoricCorrelation
-
- value() - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood
-
Maximum likelihood estimate of the polychoric correlation.
- value() - Method in class com.itemanalysis.psychometrics.polycor.PolychoricTwoStep
-
Two-step estimate of the polychoric correlation.
- value() - Method in interface com.itemanalysis.psychometrics.polycor.PolyserialCorrelation
-
- value(double) - Method in class com.itemanalysis.psychometrics.polycor.PolyserialLogLikelihoodTwoStep
-
- value() - Method in class com.itemanalysis.psychometrics.polycor.PolyserialMaximumLikelihood
-
- value() - Method in class com.itemanalysis.psychometrics.polycor.PolyserialPlugin
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.CoefficientAlpha
-
Compute the value of coefficient alpha.
- value() - Method in class com.itemanalysis.psychometrics.reliability.ConditionalSEM
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.CSEM
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.FeldtBrennan
-
Computes the Feldt-Brennan estimate of reliability
- value() - Method in class com.itemanalysis.psychometrics.reliability.FeldtGilmer
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.GuttmanLambda
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.KR21
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.RajuBeta
-
- value() - Method in class com.itemanalysis.psychometrics.reliability.ReliabilitySummary
-
- value() - Method in interface com.itemanalysis.psychometrics.reliability.ScoreReliability
-
Estimates reliability.
- value(double, double) - Method in class com.itemanalysis.psychometrics.reliability.StandardErrorOfMeasurement
-
- value(double, ScoreReliability) - Method in class com.itemanalysis.psychometrics.reliability.StandardErrorOfMeasurement
-
- value(double) - Method in class com.itemanalysis.psychometrics.scaling.KelleyRegressedScore
-
- value(double, LinearTransformation) - Method in class com.itemanalysis.psychometrics.scaling.KelleyRegressedScore
-
- value() - Method in class com.itemanalysis.psychometrics.scaling.RawScore
-
- value(double[]) - Method in class com.itemanalysis.psychometrics.statistics.Deciles
-
- value() - Method in class com.itemanalysis.psychometrics.statistics.MatrixToVector
-
- value(double[]) - Method in class com.itemanalysis.psychometrics.statistics.Quintiles
-
- value(double, double, int) - Method in class com.itemanalysis.psychometrics.statistics.UniformDensity
-
- value1(double[]) - Method in class com.itemanalysis.psychometrics.analysis.ExampleMultivariateFunction
-
- value2(double[]) - Method in class com.itemanalysis.psychometrics.analysis.ExampleMultivariateFunction
-
- valueAt(double[]) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihood
-
Method required for DiffFunction interface to QNMinimizer
- valueAt(double[]) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihoodFunction
-
Computes the loglikelihood value for an item.
- valueAt(float[]) - Method in interface com.itemanalysis.psychometrics.optimization.FloatFunction
-
Returns the value of the function at a single point.
- valueAt(double[]) - Method in interface com.itemanalysis.psychometrics.optimization.Function
-
Returns the value of the function at a single point.
- valueIterator() - Method in class com.itemanalysis.psychometrics.scaling.NormalizedScore
-
- valueIterator() - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank
-
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.data.DataType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.data.ItemType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.factoranalysis.EstimationMethod
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.factoranalysis.RotationMethod
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.histogram.BinCalculationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.histogram.HistogramType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.irt.equating.EquatingCriterionType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.irt.equating.TransformationMethod
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.irt.estimation.DensityEstimationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.irt.estimation.EstimationMethod
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.irt.estimation.PersonScoringType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.irt.model.IrmType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.kernel.KernelType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.measurement.DiscriminationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.mixture.InformationFitCriteria.FitCriterion
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.optimization.QNMinimizer.eLineSearch
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.optimization.QNMinimizer.eScaling
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.optimization.QNMinimizer.eState
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.optimization.StochasticCalculateMethods
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.polycor.MixedCorrelationMatrix.CorrelationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.reliability.ScoreReliabilityType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.scaling.LinearTransformationType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.texttable.TextTableColumnFormat.OutputAlignment
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum com.itemanalysis.psychometrics.texttable.TextTablePosition
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum com.itemanalysis.psychometrics.data.DataType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.data.ItemType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.factoranalysis.EstimationMethod
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.factoranalysis.RotationMethod
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.histogram.BinCalculationType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.histogram.HistogramType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.irt.equating.EquatingCriterionType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.irt.equating.TransformationMethod
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.irt.estimation.DensityEstimationType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.irt.estimation.EstimationMethod
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.irt.estimation.PersonScoringType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.irt.model.IrmType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.kernel.KernelType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.measurement.DiscriminationType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.mixture.InformationFitCriteria.FitCriterion
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.optimization.QNMinimizer.eLineSearch
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.optimization.QNMinimizer.eScaling
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.optimization.QNMinimizer.eState
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.optimization.StochasticCalculateMethods
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.polycor.MixedCorrelationMatrix.CorrelationType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.reliability.ScoreReliabilityType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.scaling.LinearTransformationType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.texttable.TextTableColumnFormat.OutputAlignment
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum com.itemanalysis.psychometrics.texttable.TextTablePosition
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- valueWithRandomUniformVariate() - Method in class com.itemanalysis.psychometrics.scaling.RawScore
-
- vanderWaerden(double, double) - Method in class com.itemanalysis.psychometrics.statistics.NormalScores
-
- VariableAttributes - Class in com.itemanalysis.psychometrics.data
-
This class holds descriptive information about the variables in the database.
- VariableAttributes(String, String, ItemType, DataType, int, String) - Constructor for class com.itemanalysis.psychometrics.data.VariableAttributes
-
- VariableAttributes(VariableName, VariableLabel, ItemType, DataType, int, String) - Constructor for class com.itemanalysis.psychometrics.data.VariableAttributes
-
- VariableAttributes(VariableName, VariableLabel, DataType, int) - Constructor for class com.itemanalysis.psychometrics.data.VariableAttributes
-
- VariableAttributes(VariableName, int) - Constructor for class com.itemanalysis.psychometrics.data.VariableAttributes
-
- VariableAttributes(String, int) - Constructor for class com.itemanalysis.psychometrics.data.VariableAttributes
-
- VariableLabel - Class in com.itemanalysis.psychometrics.data
-
This class represent a variable label.
- VariableLabel(String, int) - Constructor for class com.itemanalysis.psychometrics.data.VariableLabel
-
- VariableLabel(String) - Constructor for class com.itemanalysis.psychometrics.data.VariableLabel
-
- VariableName - Class in com.itemanalysis.psychometrics.data
-
This class represents a variable name.
- VariableName(String) - Constructor for class com.itemanalysis.psychometrics.data.VariableName
-
- variableName - Variable in class com.itemanalysis.psychometrics.measurement.AbstractItemResponseSummary
-
- variableNames - Variable in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod
-
- VariableType - Class in com.itemanalysis.psychometrics.data
-
The methods countDouble, countString, countMissing, getTotalCount,
getValidCount, and isDouble are needed for importing data and
management of the JTable.
- VariableType(ItemType, DataType) - Constructor for class com.itemanalysis.psychometrics.data.VariableType
-
- VariableType(int, int) - Constructor for class com.itemanalysis.psychometrics.data.VariableType
-
In jMetrik, item types are stored in database as integers.
- VariableType(DataType) - Constructor for class com.itemanalysis.psychometrics.data.VariableType
-
- variance() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
-
- variance(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
-
- variance - Variable in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood
-
- varianceOfResponse(ItemResponseModel, double) - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschCategoryFitStatistic
-
Variance of response Xni.
- varianceOfResponse(ItemResponseModel, double) - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschFitStatistics
-
Variance of response Xni.
- varianceSMD() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel
-
Compute variance of the standardized mean difference (SMD).
- VarimaxCriteria - Class in com.itemanalysis.psychometrics.factoranalysis
-
- VarimaxCriteria() - Constructor for class com.itemanalysis.psychometrics.factoranalysis.VarimaxCriteria
-
- varX() - Method in class com.itemanalysis.psychometrics.polycor.Covariance
-
- varY() - Method in class com.itemanalysis.psychometrics.polycor.Covariance
-