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What is included with this book?
Preface | p. xi |
Acknowledgments | p. xv |
One-Factor Analysis of Variance: Fixed-Effects Model | p. 1 |
Characteristics of One-Factor ANOVA Model | p. 2 |
Layout of Data | p. 6 |
ANOVA Theory | p. 6 |
ANOVA Model | p. 12 |
Assumptions and Violation of Assumptions | p. 19 |
Unequal n's or Unbalanced Procedure | p. 22 |
Alternative ANOVA Procedures | p. 22 |
SPSS and G*Power | p. 23 |
Template and APA-Style Write-Up | p. 44 |
Summary | p. 46 |
Problems | p. 46 |
Multiple Comparison Procedures | p. 51 |
Concepts of Multiple Comparison Procedures | p. 52 |
Selected Multiple Comparison Procedures | p. 58 |
SPSS | p. 72 |
Template and APA-Style Write-Up | p. 76 |
Summary | p. 76 |
Problems | p. 77 |
Factorial Analysis of Variance: Fixed-Effects Model | p. 81 |
Two-Factor ANOVA Model | p. 82 |
Three-Factor and Higher-Order ANOVA | p. 100 |
Factorial ANOVA With Unequal n's | p. 103 |
SPSS and G*Power | p. 105 |
Template and APA-Style Write-Up | p. 127 |
Summary | p. 129 |
Problems | p. 130 |
Introduction to Analysis of Covariance: One-Factor Fixed-Effects Model With Single Covariate | p. 137 |
Characteristics of the Model | p. 138 |
Layout of Data | p. 141 |
ANCOVA Model | p. 141 |
ANCOVA Summary Table | p. 142 |
Partitioning the Sums of Squares | p. 143 |
Adjusted Means and Related Procedures | p. 144 |
Assumptions and Violation of Assumptions | p. 146 |
Example | p. 151 |
ANCOVA Without Randomization | p. 153 |
More Complex ANCOVA Models | p. 154 |
Nonparametric ANCOVA Procedures | p. 154 |
SPSS and G*Power | p. 155 |
Template and APA-Style Paragraph | p. 179 |
Summary | p. 181 |
Problems | p. 181 |
Random- and Mixed-Effects Analysis of Variance Models | p. 187 |
One-Factor Random-Effects Model | p. 188 |
Two-Factor Random-Effects Model | p. 193 |
Two-Factor Mixed-Effects Model | p. 198 |
One-Factor Repeated Measures Design | p. 203 |
Two-Factor Split-Plot or Mixed Design | p. 210 |
SPSS and G*Power | p. 218 |
Template and APA-Style Write-Up | p. 258 |
Summary | p. 261 |
Problems | p. 261 |
Hierarchical and Randomized Block Analysis of Variance Models | p. 267 |
Two-Factor Hierarchical Model | p. 268 |
Two-Factor Randomized Block Design for n = 1 | p. 276 |
Two-Factor Randomized Block Design for n > 1 | p. 284 |
Friedman Test | p. 284 |
Comparison of Various ANOVA Models | p. 285 |
SPSS | p. 286 |
Template and APA-Style Write-Up | p. 313 |
Summary | p. 315 |
Problems | p. 315 |
Simple Linear Regression | p. 321 |
Concepts of Simple Linear Regression | p. 322 |
Population Simple Linear Regression Model | p. 324 |
Sample Simple Linear Regression Model | p. 325 |
SPSS | p. 344 |
G*Power | p. 357 |
Template and APA-Style Write-Up | p. 360 |
Summary | p. 362 |
Problems | p. 362 |
Multiple Regression | p. 367 |
Partial and Semipartial Correlations | p. 368 |
Multiple Linear Regression | p. 371 |
Methods of Entering Predictors | p. 386 |
Nonlinear Relationships | p. 389 |
Interactions | p. 390 |
Categorical Predictors | p. 390 |
SPSS | p. 392 |
G*Power | p. 408 |
Template and APA-Style Write-Up | p. 411 |
Summary | p. 413 |
Problems | p. 414 |
Logistic Regression | p. 419 |
How Logistic Regression Works | p. 420 |
Logistic Regression Equation | p. 421 |
Estimation and Model Fit | p. 425 |
Significance Tests | p. 426 |
Assumptions and Conditions | p. 431 |
Effect Size | p. 435 |
Methods of Predictor Entry | p. 436 |
SPSS | p. 437 |
G*Power | p. 456 |
Template and APA-Style Write-Up | p. 459 |
What Is Next? | p. 461 |
Summary | p. 462 |
Problems | p. 462 |
Appendix: Tables | p. 467 |
References | p. 493 |
Odd-Numbered Answers to Problems | p. 501 |
Author Index | p. 507 |
Subject Index | p. 511 |
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