Chapter 13: Repeated-Measures ANOVA
Chapter Outline
13.1 Overview of Repeated-Measures Designs
13.2 The Repeated-Measures ANOVA
Hypotheses for the Repeated-Measures ANOVA
The F-ratio for Repeated-Measures ANOVA
The Logic of the Repeated Measures ANOVA
13.

Chapter 13
Repeated-Measures and
Two-Factor Analysis of Variance
Chapter 13 Learning Outcomes
1
Understand logic of repeated-measures
ANOVA study
2
Compute repeated-measures ANOVA to
evaluate mean differences for single-factor
repeated-measures study
3

Chapter 12
Introduction to Analysis of Variance
Chapter 12 Learning Outcomes
1
Explain purpose and logic of Analysis of
Variance
2
Perform Analysis of Variance on data from
single-factor study
3
Know when and why to use post hoc tests
(posttests)
4
Co

516 APPENDIX B STATISTICAL TABLES
*
CRITICAL VALUES FOR THE F-MAX STATISTIC
TA B L E B . 3 . . . . .
/ ype are Cl’ltlcal values for the level 0f SigniﬁCaUCC. BOldfaCC type VaIUes are f
01'
htface type, and for OL = .01, they are in bOIdfaCe type' the .01

Chapter 3
Measures of Central Tendency
Learning Outcomes
1
Understand the purpose of measuring central tendency
2
Define and compute the three measures of central tendency
3
Describe how the mean is affected when a set of scores is modified
4
Describe

Chapter 4
Measures of Variability
Learning Outcomes
1
Understand purpose of measuring variability
2
Define range
3
Compute range
4
Understand variance and standard deviation
5
Calculate SS, variance, standard deviation of population
6
Calculate SS,

Chapter 2
Frequency Distributions
Learning Outcomes
1
Understand how frequency distributions are used
2
Organize data into a frequency distribution table
3
and into a grouped frequency distribution table
4
Know how to interpret frequency distributions

Chapter 5
z-Scores: Location of Scores and
Standardized Distributions
Chapter 5 Learning Outcomes
1
Understand z-score as location in distribution
2
Transform X value into z-score
3
Transform z-score into X value
4
Describe effects of standardizing a