
Statistical Concepts
A Second Course for Education and the Behavioral Sciences
Richard G. Lomax(Author)
Lawrence Erlbaum Associates Inc (Publisher)
2nd Edition
Published on 1. October 2000
Book
Paperback/Softback
40 pages
978-0-8058-3960-9 (ISBN)
Description
Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage in a flexible format so instructors can pick and choose topics. It features topics not traditionally found in other textbooks, such as the layout of the data in ANOVA models, the ANOVA linear models, expected mean squares in ANOVA models, and stepwise regression. The book features a thorough and current discussion of assumptions, the effects of their violations, and how to deal with their violation.
This text is designed for a second or intermediate course in statistics for students in education and the behavioral sciences. It includes a number of regression and analysis of variance models, all subsumed under the general linear model (GLM). A prerequisite of introductory statistics (descriptive statistics through t-tests) is assumed.
This text is designed for a second or intermediate course in statistics for students in education and the behavioral sciences. It includes a number of regression and analysis of variance models, all subsumed under the general linear model (GLM). A prerequisite of introductory statistics (descriptive statistics through t-tests) is assumed.
More details
Edition
2nd New edition
Language
English
Place of publication
Mahwah
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Edition type
New edition
Weight
113 gr
ISBN-13
978-0-8058-3960-9 (9780805839609)
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Schweitzer Classification
Content
Contents: Preface. Simple Linear Regression. Multiple Regression. One-Factor Analysis of Variance--Fixed-Effects Model. Multiple-Comparison Procedures. Factorial Analysis of Variance--Fixed-Effects Model. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. Random- and Mixed-Effects Analysis of Variance Models. Hierarchical and Randomized Block Analysis of Variance Models. Appendix Tables.