Discriminant function analysis (Wilks method)¶
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Evidence · no claims cited
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¶
Related Elements¶
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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