com.itemanalysis.psychometrics.measurement

Class TestSummary

java.lang.Object

com.itemanalysis.psychometrics.measurement.TestSummary

public class TestSummary
extends java.lang.Object

Currently this class stores the test score data in memory. Item level data is not stored in memory. Rather, the inter-item covariance matrix is incrementally updated.

Author:

J. Patrick Meyer, meyerjp at itemanalysis.com

Constructor Summary

Constructors

Constructor and Description
TestSummary(int numberOfItems, int numberOfSubscales, java.util.ArrayList<java.lang.Integer> cutScores, java.util.ArrayList<VariableAttributes> variableAttributes, boolean unbiased, boolean deletedReliability, boolean showCsem)
TestSummary(int numberOfItems, int numberOfSubscales, int[] cutScores, java.util.ArrayList<VariableAttributes> variableAttributes, boolean unbiased, boolean deletedReliability, boolean showCsem)
TestSummary(int numberOfItems, int numberOfSubscales, int[] cutScores, java.util.LinkedHashMap<VariableName,VariableAttributes> variableAttributeMap, boolean unbiased, boolean deletedReliability, boolean showCsem)

Method Summary

Modifier and Type	Method and Description
ConditionalSEM	computeCSEM(ScoreReliability reliability, boolean unbiased)
Huynh	computeDecisionConsistency()
double	computeMaximumPossibleTestScore()
java.lang.Integer[]	getAllScores()
CovarianceMatrix	getCovarianceMatrix()
double[]	getDIndexBounds()
double	getGeometricMean()
double	getKurtosis()
double	getMax()
double	getMean()
double	getMin()
double	getPercentile(double p)
double	getSampleSize()
double	getSkewness()
double	getStandardDeviation()
double	getVariance()
void	increment(double score)
void	increment(RawScore rawScore)
void	incrementPartTestReliability(int xIndex, int yIndex, double x, double y)
void	incrementPartTestReliability(RawScore rawScore)
void	incrementReliability(int xIndex, int yIndex, double x, double y)
double	kr21()
int	numberOfItems()
java.lang.String	print()

Methods inherited from class java.lang.Object

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

Constructor Detail

TestSummary

public TestSummary(int numberOfItems,
                   int numberOfSubscales,
                   java.util.ArrayList<java.lang.Integer> cutScores,
                   java.util.ArrayList<VariableAttributes> variableAttributes,
                   boolean unbiased,
                   boolean deletedReliability,
                   boolean showCsem)

TestSummary

public TestSummary(int numberOfItems,
                   int numberOfSubscales,
                   int[] cutScores,
                   java.util.ArrayList<VariableAttributes> variableAttributes,
                   boolean unbiased,
                   boolean deletedReliability,
                   boolean showCsem)

TestSummary

public TestSummary(int numberOfItems,
                   int numberOfSubscales,
                   int[] cutScores,
                   java.util.LinkedHashMap<VariableName,VariableAttributes> variableAttributeMap,
                   boolean unbiased,
                   boolean deletedReliability,
                   boolean showCsem)

Method Detail

increment

public void increment(RawScore rawScore)

increment

public void increment(double score)

incrementReliability

public void incrementReliability(int xIndex,
                                 int yIndex,
                                 double x,
                                 double y)

incrementPartTestReliability

public void incrementPartTestReliability(int xIndex,
                                         int yIndex,
                                         double x,
                                         double y)

incrementPartTestReliability

public void incrementPartTestReliability(RawScore rawScore)

computeMaximumPossibleTestScore

public double computeMaximumPossibleTestScore()

computeDecisionConsistency

public Huynh computeDecisionConsistency()

getAllScores

public java.lang.Integer[] getAllScores()

computeCSEM

public ConditionalSEM computeCSEM(ScoreReliability reliability,
                                  boolean unbiased)

kr21

public double kr21()

numberOfItems

public int numberOfItems()

getCovarianceMatrix

public CovarianceMatrix getCovarianceMatrix()

getDIndexBounds

public double[] getDIndexBounds()

getMean

public double getMean()

getStandardDeviation

public double getStandardDeviation()

getVariance

public double getVariance()

getPercentile

public double getPercentile(double p)

Parameters:

p - a value between 0 and 100.

Returns:

pth percentile value

getSkewness

public double getSkewness()

getKurtosis

public double getKurtosis()

getSampleSize

public double getSampleSize()

getMin

public double getMin()

getMax

public double getMax()

getGeometricMean

public double getGeometricMean()

print

public java.lang.String print()