Rowman & Littlefield Publishers

Pages: 344
•
Trim: 7 x 10

978-1-4422-1846-8 • Hardback • October 2012 • $142.00 • (£95.00)

978-1-4422-1847-5 • Paperback • October 2012 • $71.00 • (£47.95)

978-1-4422-1848-2 • eBook • October 2012 • $67.50 • (£44.95)

Tenko Raykov is professor of measurement and quantitative methods at Michigan State University.

George A. Marcoulides is professor of research methods and statistics at the University of California, Riverside.

Preface- Statistics as a science.
- Collecting data.
- Why study statistics?

z-scores. to be valid?7.5.4. A general form of a z-test.p-value.t-ratio and t-distribution.t-distribution.t-tests.F-distribution.F-distribution.R^{2} and shrinkage.F-test and evaluation of change in proportion of explained 15.3.2. Logistic regression - a generalized linear model with EpilogueReferences
This is an excellent and thorough introduction to statistical analysis. It is easy to follow and provides complete coverage of key concepts in introductory courses. This book will be useful and popular across various fields including the health sciences, management, and social sciences.

**— ****Ronald Heck, University of Hawaii**

Raykov and Marcoulides are able to seamlessly demonstrate how to run statistical analyses such as ANOVA and multiple regression in R, avoiding the steep learning curve that students working for the first time with R usually face. Their presentation of statistical concepts is easy to follow, and the R examples are appropriate for students who have never used statistical software before.

**— ****Walter Leite, University of Florida**

Raykov (Michigan State Univ.) and Marcoulides (Univ. of California, Riverside) continue their tradition of writing introductory, informative texts in the quantitative area. Their earlier works include Introduction to Psychometric Theory (2011), An Introduction to Applied Multivariate Analysis (2008), and A First Course in Structural Equation Modeling (2006). The authors' latest text provides excellent coverage of topics normally addressed in a one- or two-semester statistics course sequence through use of R, a freely available, widely used software package. The book is organized into 15 chapters, beginning with "Statistics and Data." Other chapters cover random sampling, probability, inferences, linear regression, variance and covariance, and more. Most first-time statistics students fear not only the rigor of the discipline but also the complexity of most statistical packages because of their numerous commands and subcommands. R, on the other hand, focuses more on commands than subcommands. This text is unique in that it approaches fundamental statistical concepts by engaging R's very basic, straightforward commands. The authors feel that this approach provides students with a more thorough and comprehensive understanding of the most essential concepts necessary in such disciplines as the social sciences, business, education, and medicine. Summing Up: Highly recommended. Lower-division undergraduates through professionals/practitioners.

**— ****CHOICE**

Introduces students to both the science of statistics as well as the free, comprehensive software package R for statistical analysis and modelingIntroduces students to the software program R with as few sub-commands as possible for ease of useFilled with practical examples from the educational, behavioral, and social sciencesFree data sets to complement the book are available by emailing textbooks@rowman.com