Free Download Levines Guide to Spss for Analysis of Variance By Melanie Page, Sanford Braver & David Mackinnon
Check content proof, now:
A Substantially Updated and Expanded Second Edition
This widely used guide returns in a thoroughly revised second edition, offering detailed instructions and practical examples for conducting analysis of variance (ANOVA) and a variety of other significance tests using SPSS. It remains the only reference that delivers the necessary syntax for executing the more advanced types of ANOVA tests. Every example program included is compatible with any version of SPSS, including versions 11 and 11.5. A convenient table at the end of the preface shows where each type of test (e.g., simple comparisons) appears across different design types (e.g., mixed two-factor designs).
Covers Basic to Advanced ANOVA Topics
This is the only available resource that dives deep into both introductory and advanced ANOVA methods while offering extensive SPSS syntax coverage. It includes complete details on commands and subcommands that guide SPSS, in addition to the point-and-click (PAC) approach through the program’s menu system. Syntax descriptions include what is essential, what is recommended, and what is optional, allowing users to better understand and verify the analysis being conducted. Each example output is accompanied by a full explanation.
New Additions and Reorganized Format
The latest edition has been restructured to consolidate all analyses relevant to a single design within the same chapter. It now provides expanded sections on ANCOVA and mixed-model designs, as well as new chapters covering random factor designs, multivariate analyses, and syntax behind PAC procedures. All outputs are updated with fresh examples and comprehensive annotations.
Additionally, this edition is supported by downloadable resources containing all datasets used throughout the book and chapter-by-chapter exercises to reinforce understanding.
Ideal for Advanced Students and Practitioners
This comprehensive guide is perfect for researchers, statisticians, and analysts with foundational knowledge of ANOVA, as well as for advanced-level students seeking a deeper understanding of variance analysis techniques using SPSS.
