com.itemanalysis.psychometrics.scaling

Class NormalizedScore

java.lang.Object

com.itemanalysis.psychometrics.scaling.NormalizedScore

public class NormalizedScore
extends java.lang.Object

Author:

J. Patrick Meyer

Constructor Summary

Constructors

Constructor and Description
NormalizedScore()

Method Summary

Modifier and Type	Method and Description
void	createLookupTable(PercentileRank prank, LinearTransformation linear) Creates a TreeMap lookup table of normalized scores.
double[][]	evaluate(PercentileRank prank, DefaultLinearTransformation linear) For r number of score levels between min and max (as defined in PercentileRank), inclusive, this method returns a r x 2 array with integer based scores in first column and normalized scores in the second column.
double	getNormalizedScoreAt(double value)
double	getNormalizedScoreAt(int value)
java.lang.String	printTable(int precision)
java.lang.String	toString()
java.util.Iterator<java.lang.Integer>	valueIterator()

Methods inherited from class java.lang.Object

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

Constructor Detail

NormalizedScore

public NormalizedScore()

Method Detail

createLookupTable

public void createLookupTable(PercentileRank prank,
                              LinearTransformation linear)

Creates a TreeMap lookup table of normalized scores. The key is a raw score level and the rho is a normalized score. This method is useful when finding normalized scores that correspond to an examinee's raw score. After calling this method, individual elements in the TreeMap can be accessed with getNormalizedScoreAt(int rho) or valueIterator().

evaluate

public double[][] evaluate(PercentileRank prank,
                           DefaultLinearTransformation linear)

For r number of score levels between min and max (as defined in PercentileRank), inclusive, this method returns a r x 2 array with integer based scores in first column and normalized scores in the second column. This method is useful when only the raw scores and corresponding normalized scores are needed.

Returns:

two-way array of raw scores and normalized scores.

getNormalizedScoreAt

public double getNormalizedScoreAt(int value)

getNormalizedScoreAt

public double getNormalizedScoreAt(double value)

valueIterator

public java.util.Iterator<java.lang.Integer> valueIterator()

printTable

public java.lang.String printTable(int precision)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object