Rent 9780415880077 | Statistical Concepts : A Second Course

Summary Table of Contents

Statistical Concepts consists of the last 9 chapters of An Introduction to Statistical Concepts, 3rded. Designed for the second coursein statistics it is one of the few texts that focuses just on intermediate statistics. The flexible coverage allows instructors to select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and reintroduced and related to one another for reinforcement. Numerous exam... MOREples demonstrate their relevance. This edition features more explanation to increase understanding of the concepts. Only crucial equations are included. In addition to updating throughout, the new edition features: New co-author, Debbie L. Hahs-Vaughn, the 2007 recipient of the University of Central Florida's College of Education Excellence in Graduate Teaching Award. A new chapter on logistic regression models for today's more complex methodologies. More on computing confidence intervals and conducting power analyses using G*Power. Many more SPSS screenshots to assist with understanding how to navigate SPSS and annotated SPSS output to assist in the interpretation of results. Extended sections on how to write-up statistical results in APA format. New learning tools including chapter-opening vignettes, outlines, and a list of key concepts, many more examples, tables, and figures, boxes, and chapter summaries. More tables of assumptions and the effects of their violation including how to test them in SPSS. 33% new conceptual, computational, and allnew interpretative problems. A website that features Power Points, answers to the even-numbered problems, and test items for instructors, and for students the chapter outlines, key concepts, and datasets that can be used in SPSS and other packages, and more. Each chapter begins with an outline, a list of key concepts, and a vignette related to those concepts. Realistic examples from education and the behavioral sciences illustrate those concepts. Each example examines the procedures and assumptions and provides instructions for how to run SPSS, including annotated output, and tips to develop an APA style write-up. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Stop and Think Boxesprovide helpful tips for better understanding the concepts. Each chapter includes computational, conceptual, and interpretive problems. The data sets used in the examples and problems are provided on the web. Answers to the odd-numbered problems are in the book. The first six chapters cover the basic and advanced analysis of variance models. The next three examine linear, multiple, and logistic regression models, topics that are often neglected in other texts. Intended for courses in intermediate statistics and/or statistics II taught in education and/or the behavioral sciences, predominantly at the master's or doctoral level. A rudimentary knowledge of algebra and introductory statistics is assumed.

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 Proced... MOREures	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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