Class PsychometricNormalizer

java.lang.Object

org.episteme.social.psychology.PsychometricNormalizer

public final class PsychometricNormalizer
extends Object

Utility class for normalizing and transforming psychometric test scores. Supports standard coversions between Raw, Z, T, and IQ scores.

Since:

1.0

Version:

1.1

Author:

Silvere Martin-Michiellot, Gemini AI (Google DeepMind)

Method Summary

Modifier and Type	Method	Description
static Real	toIQScore(Real zScore)	Converts a Z-score to a standard deviation IQ score.
static Real	toTScore(Real zScore)	Converts a Z-score to a T-score.
static Real	toZScore(Real rawScore, Real mean, Real stdDev)	Converts a raw score to a Standard Score (Z-score).

Methods inherited from class Object

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

Method Details

toZScore

public static Real toZScore(Real rawScore,
 Real mean,
 Real stdDev)

Converts a raw score to a Standard Score (Z-score). Z = (X - mean) / stdDev

Parameters:

rawScore - The raw observation

mean - The population mean

stdDev - The population standard deviation

Returns:

The Z-score (number of standard deviations from mean)

toTScore

public static Real toTScore(Real zScore)

Converts a Z-score to a T-score. T-scores have a fixed Mean of 50 and Standard Deviation of 10. T = Z * 10 + 50

Parameters:

zScore - The standardized Z-score

Returns:

The T-score

toIQScore

public static Real toIQScore(Real zScore)

Converts a Z-score to a standard deviation IQ score. Modern deviation IQ has a Mean of 100 and Standard Deviation of 15 (typically, e.g., Wechsler). IQ = Z * 15 + 100

Parameters:

zScore - The standardized Z-score

Returns:

The IQ score