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Discriminant function analysis (Wilks method)

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Description

A multivariate statistical technique (Wilks method) used to identify variables that maximally discriminate among outcome groups and to determine the number and interpretation of discriminating dimensions, up to the number of groups minus one. In this study it was applied to 15 antecedent variables with the four identity statuses as outcome groups, yielding two significant discriminating dimensions.

Design Implications

Context

Requirements

  • Requires a categorical grouping variable and continuous predictor variables measured on the same sample; computation followed Nie et al. (1975).

Constraints

Target Learners

  • Researchers analyzing group differences among identity statuses

Target Learning Goals

  • Identification of variables and dimensions discriminating among outcome groups

Claims

Examples

Key Sources

  • Van Wicklin, J. F. (1984). Ego identity status, self-esteem, social desirability, and parent-child relations in college females. Doctoral dissertation. https://eric.ed.gov/?id=ED257546
Page metadata
Field Value
type element
id discriminant-function-analysis
title Discriminant function analysis (Wilks method)
description A multivariate statistical technique (Wilks method) used to identify variables that maximally discriminate among outcome groups and to determine the number and interpretation of discriminating dimensions, up to the nu...
status review
canonical True
generated by claude/unspecified on 2026-09-25
trust unverified — no one has confirmed this page's content
sources 1 — van-wicklin-1984

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