GLM Multivariate, MANOVA, & Canonical Correlation 2015 (Statistical Associates Blue Book Series 11)

GLM MULTIVARIATE, MANOVA, & CANONICAL CORRELATION Overview

An illustrated tutorial and introduction to multivariate general linear models, MANOVA, MANCOVA, and linear and nonlinear canonical correlation, using SPSS, SAS, and Stata for examples. Suitable for introductory graduate-level study.

The 2015 edition is a major update to the 2012 edition. Among the new features are these:

* Was 59 pages, now book length (270 pages total)
* Has over 130 new illustrations
* Now covers Stata and SAS as well as SPSS
* Shows commands and options needed for similar results across packages.
* Totally revised with new examples
* New coverage detailing assumptions and testing for them.
* New coverage of 29 Frequently Asked Questions.
* New coverage of nonliner canonical correlation.
* Links to all datasets used in the text.

Below is the unformatted table of contents.

MULTIVARIATE GLM, MANOVA, AND MANCOVA1
Data examples for MANOVA10
MANOVA & MANCOVA10
GLM in statistics packages12
SPSS12
SAS12
Stata12
Key coefficients in multivariate GLM13
F tests13
t tests13
Partial eta-square14
R-Square14
Omega-square14
Multivariate GLM in SPSS15
SPSS input15
The main multivariate GLM dialog15
The Model dialog16
The Options dialog18
The Contrasts dialog19
The Plots dialog20
The Save dialog21
The Post hoc dialog22
The Bootstrap dialog23
SPSS syntax24
SPSS output25
Multivariate significance tests25
Significance tests of between-subjects effects (F tests)28
Parameter estimates30
Differences in statistical inference32
Lack of fit tests32
Spread-versus-level plots36
Residual plots38
Outlier diagnostics40
Analysis of covariance40
Estimated marginal means40
Profile plots43
Pairwise comparison tables46
Multiple comparison and post-hoc tests48
Contrast tests50
Multivariate GLM in SAS53
SAS input53
SAS Output55
Multivariate significance tests55
Significance tests of between-subjects effects56
Parameter Estimates60
Lack of fit tests61
Spread-versus-level plots61
Residual plots63
Outlier diagnostics68
Analysis of covariance73
Estimated marginal means74
Profile Plots75
Pairwise comparison tables76
Multiple comparison and post-hoc tests80
Contrast tests82
Multivariate GLM in Stata85
Stata input85
Stata output87
Multivariate significance tests87
Significance tests of between-subjects effects (F tests)89
Parameter Estimates91
Lack of fit tests91
Spread-versus-level plots91
Residual plots95
Outlier diagnostics101
Analysis of covariance108
Estimated marginal means110
Profile Plots111
Pairwise comparison tables113
Multiple comparison and post-hoc tests115
Contrast tests119
GLM multivariate assumptions123
Measurement level123
Observations are independent of one another123
Random sampling124
Homogeneity of error variances124
Levene's test125
SPSS126
SAS127
Stata128
Homogeneity of regressions130
Overview130
SPSS131
SAS132
Stata133
Homogeneity of covariances135
Box's M test135
SPSS136
SAS137
Stata138
Sphericity139
Bartlett's test of sphericity139
SPSS140
SAS141
Stata142
Low measurement error of the covariates142
Similar group sizes143
Adequate group sizes143
Appropriate sums of squares143
SPSS144
SAS144
Stata144
Random normal residuals145
Linearity145
Multivariate normal distribution145
No outliers146
GLM frequently asked questions146
Why can't I just use multiple univariate ANOVA tests rather than MANOVA?146
How do I write up the results of my MANOVA analysis?147
How many dependent variables can I have in MANOVA?148
Can I enter just one dependent variable in MANOVA?149
Is there a limit on the number of covariates which can be included in a multiple analysis of variance?149
Explain the syntax for MANOVA in SPSS149
What is analysis of residuals for in MANOVA150
AND 120 MORE PAGES OF TOPICS