com.itemanalysis.psychometrics.factoranalysis

Class MaximumLikelihoodMethod

java.lang.Object

com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

com.itemanalysis.psychometrics.factoranalysis.MaximumLikelihoodMethod

All Implemented Interfaces:

FactorMethod

public class MaximumLikelihoodMethod
extends AbstractFactorMethod

Exploratory factor analysis by maximum likelihood estimation.

Field Summary

Fields inherited from class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

communality, factorLoading, nFactors, nParam, nVariables, proportionOfExplainedVariance, proportionOfVariance, R, rotationMethod, sumsOfSquares, uniqueness, variableNames

Constructor Summary

Constructors

Constructor and Description
MaximumLikelihoodMethod(org.apache.commons.math3.linear.RealMatrix correlationMatrix, int nFactors, RotationMethod rotationMethod)

Method Summary

Modifier and Type	Method and Description
double	estimateParameters() A method for estimating parameters.
double[]	getStartValues()

Methods inherited from class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod

getCommunalityAt, getFactorLoading, getFactorLoadingAt, getLoadingsForFactorAt, getLowerBounds, getProportionOfExplainedVarianceAt, getProportionOfVarianceAt, getSumsOfSquaresAt, getUniquenessAt, getUpperBounds, getVariableNameAt, setVariableNameAt, setVariableNameAt

Methods inherited from class java.lang.Object

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

Constructor Detail

MaximumLikelihoodMethod

public MaximumLikelihoodMethod(org.apache.commons.math3.linear.RealMatrix correlationMatrix,
                               int nFactors,
                               RotationMethod rotationMethod)

Method Detail

getStartValues

public double[] getStartValues()

estimateParameters

public double estimateParameters()

Description copied from interface: FactorMethod

A method for estimating parameters. The returned value is the value of the criterion function at the estimated values. It should be the smallest possible value. This value is returned for display in the output.

Returns:

value of the criterion function at the estimated values