 |
ERIC ED449216: Increasing the Generalizability of ANOVA Results by ... |
 |
by ERIC |
 |
Thumbnail |
|
Download |
 |
Web page |
|
|
|
The analysis of variance (ANOVA) is a frequently used |
|
statistical procedure by which the equality of more than |
|
two population means can be tested without inflating the |
|
Type I error rate (D. Hinkle, W. Wiersma, and S. Jurs, |
|
1998). Fixed-, random-, and mixed-effects ANOVA models |
|
are each capable of yielding interesting and useful |
|
results when applied in appropriate situations. However, |
|
the random- and mixed-effects models offer the added |
|
benefit of increasing the generalizability of results. |
|
This paper illustrates "rules of thumb" (C. Hicks, 1973) |
|
researchers can use to test all three models, explores |
|
the factors that should bear on model selection (B. |
|
Frederick, 1999), and explains how the Statistical |
|
Package for the Social Sciences (SPSS) can be use to |
|
evaluate all three models. An appendix contains the SPSS |
|
program to analyze fixed- and random-effects models. |
|
(Contains 3 tables and 19 references.) (Author/SLD) |
|
|
|
Date Published: 2016-01-06 13:00:47 |
|
Identifier: ERIC_ED449216 |
|
Item Size: 18964940 |
|
Language: english |
|
Media Type: texts |
|
|
|
# Topics |
|
ERIC Archive; Analysis of Variance; R... |
|
|
|
# Collections |
|
ericarchive |
|
additional_collections |
|
|
|
# Uploaded by |
|
@chris85 |
|
|
|
# Similar Items |
|
View similar items |
|
|
|
PHAROS |
|
