com.itemanalysis.psychometrics.polycor

Class PolychoricMaximumLikelihood

java.lang.Object

com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation

com.itemanalysis.psychometrics.polycor.PolychoricTwoStep

com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood

All Implemented Interfaces:

PolychoricCorrelation

public class PolychoricMaximumLikelihood
extends PolychoricTwoStep

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	PolychoricMaximumLikelihood.MaximumLikelihoodFunction

Nested classes/interfaces inherited from class com.itemanalysis.psychometrics.polycor.PolychoricTwoStep

PolychoricTwoStep.TwoStepLikelihoodFunction

Field Summary

Fields

Modifier and Type	Field and Description
protected double	chiSquare
protected double	df
protected double	probChiSquare
protected double[][]	variance

Fields inherited from class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation

columnThresholds, data, fmin, incremental, N, ncol, norm, nrow, rho, rowThresholds, table

Constructor Summary

Constructors

Constructor and Description
PolychoricMaximumLikelihood() Constructor for incrementally updating data
PolychoricMaximumLikelihood(double[][] data)
PolychoricMaximumLikelihood(TwoWayTable table)

Method Summary

Modifier and Type	Method and Description
double	getChiSquare()
double	getChiSquarePvalue()
double[]	getColumnThresholdStandardErrors()
double[]	getRowThresholdStandardErrors()
java.lang.String	print()
double	value() Maximum likelihood estimate of the polychoric correlation.

Methods inherited from class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation

cumulativeColumnSums, cumulativeRowSums, extractColumnThresholds, extractRho, extractRowThresholds, getColumnThresholds, getParameterArray, getRowThresholds, increment, increment, increment, initialize, logLikelihood

Methods inherited from class java.lang.Object

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

Field Detail

probChiSquare

protected double probChiSquare

df

protected double df

chiSquare

protected double chiSquare

variance

protected double[][] variance

Constructor Detail

PolychoricMaximumLikelihood

public PolychoricMaximumLikelihood(double[][] data)

PolychoricMaximumLikelihood

public PolychoricMaximumLikelihood(TwoWayTable table)

PolychoricMaximumLikelihood

public PolychoricMaximumLikelihood()

Constructor for incrementally updating data

Method Detail

value

public double value()

Maximum likelihood estimate of the polychoric correlation.

Specified by:

value in interface PolychoricCorrelation

Overrides:

value in class PolychoricTwoStep

Returns:

a polychoric correlation.

getRowThresholdStandardErrors

public double[] getRowThresholdStandardErrors()

getColumnThresholdStandardErrors

public double[] getColumnThresholdStandardErrors()

getChiSquare

public double getChiSquare()

getChiSquarePvalue

public double getChiSquarePvalue()

print

public java.lang.String print()

Specified by:

print in interface PolychoricCorrelation

Overrides:

print in class PolychoricTwoStep