com.itemanalysis.psychometrics.irt.model

Class IrmBinary

java.lang.Object

com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

com.itemanalysis.psychometrics.irt.model.Irm3PL

com.itemanalysis.psychometrics.irt.model.IrmBinary

All Implemented Interfaces:

ItemResponseModel

public class IrmBinary
extends Irm3PL

This class provides a cleaner interface to the Irm3PL class. It does not require the user to provide the scaling coefficient (i.e. D).

Field Summary

Fields inherited from class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

groupId, isFixed, maxCategory, maxWeight, minCategory, minWeight, name, ncat, scoreWeight

Constructor Summary

Constructors

Constructor and Description
IrmBinary(double difficulty)
IrmBinary(double discrimination, double difficulty)
IrmBinary(double discrimination, double difficulty, double lowerAsymptote)

Method Summary

Methods inherited from class com.itemanalysis.psychometrics.irt.model.Irm3PL

acceptAllProposalValues, addPriorsToLogLikelihood, addPriorsToLogLikelihoodGradient, cumulativeProbability, derivTheta, derivTheta2, expectedValue, getDifficulty, getDifficultyPrior, getDifficultyStdError, getDiscrimination, getDiscriminationPrior, getDiscriminationStdError, getGuessing, getGuessingPrior, getGuessingStdError, getItemParameterArray, getNumberOfEstimatedParameters, getNumberOfParameters, getProposalDifficulty, getProposalDiscrimination, getScalingConstant, getSlipping, getSlippingStdError, getStepParameters, getStepStdError, getThresholdParameters, getThresholdStdError, getType, gradient, gradient, hessian, incrementMeanMean, incrementMeanSigma, itemInformationAt, nonZeroPrior, probability, probability, scale, setDifficulty, setDifficultyPrior, setDifficultyStdError, setDiscrimination, setDiscriminationPrior, setDiscriminationStdError, setGuessing, setGuessingPrior, setGuessingStdError, setProposalDifficulty, setProposalDiscrimination, setProposalGuessing, setProposalSlipping, setProposalStepParameters, setProposalThresholds, setSlipping, setSlippingPrior, setSlippingStdError, setStandardErrors, setStepParameters, setStepPriorAt, setStepStdError, setThresholdParameters, setThresholdStdError, toString, tSharpExpectedValue, tSharpProbability, tStarExpectedValue, tStarProbability

Methods inherited from class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient

defaultScoreWeights, getGroupId, getItemFitStatistic, getItemScoring, getMaxScoreWeight, getMinScoreWeight, getName, getNcat, getScoreWeights, isFixed, setFixed, setGroupId, setItemFitStatistic, setItemScoring, setName, setScoreWeights

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

IrmBinary

public IrmBinary(double difficulty)

IrmBinary

public IrmBinary(double discrimination,
                 double difficulty)

IrmBinary

public IrmBinary(double discrimination,
                 double difficulty,
                 double lowerAsymptote)