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Tables of Contents for Advances in Social Science Methodology
Chapter/Section Title
Page #
Page Count
List of Contributors
vii
 
Foreword
ix
 
Bruce Thompson
On Some History Regarding Statistical Testing
1
22
Carl J Huberty
Chandler J. Pike
Five Methodology Errors in Educational Research: A Pantheon of Statistical Significance and Other Faux Pas
23
64
Bruce Thompson
Effect Size Measures: What They are and How to Compute Them
87
14
Frederick J. Kier
Relating Variance Partitioning in Measurement Analyses to the Exact Same Process in Substantive Analyses
101
10
Thomas E. Dawson
Fixed-, Random-, and Mixed-Effects Anova Models: A User-Friendly Guide for Increasing the Generalizability of Anova Results
111
12
Brigitte N. Frederick
Factor Scores and Factor Structure and Communality Coefficients
123
16
Robert D. Wells
Defining and Interpreting Suppressor Effects: Advantages and Limitations
139
10
Brian P. Lancaster
Why Generalizability Theory is Essential and Classical Test Theory is Often Inadequate
149
22
Kevin M. Kieffer
Item Response Theory: Understanding the One-Parameter Rasch Model
171
22
Catherine E. Cantrell
Multivariate Normality: What is it and How is it Assessed?
193
20
Robin K. Henson
Strategies for Detecting Outliers in Regression Analysis: An Introductory Primer
213
20
Victoria P. Evans
Analyzing Repeated Measures Designs Using Univariate and Multivariate Methods: A Primer
233
18
Jesus Tanguma
New Approaches to the Analysis of Repeated Measurements
251
18
H. J. Keselman
James Algina
Robert J. Boik
Rand R. Wilcox
The Simple Difference Score as an Inherently Poor Measure of Change: Some Reality, Much Mythology
269
36
Bruno D. Zumbo
Partitioning Variance in the Multivariate Case: A Step-By-Step Guide to Canonical Commonality Analysis
305
14
Brigitte N. Frederick
Acceptable Variable Deletion Methods in Canonical Correlation Analysis
319
14
Catherine E. Cantrell
Canonical Redundancy (Rd) Coefficients: They Should (Almost Never) Be Computed and Interpreted
333
 
J. Kyle Roberts