Data Analysis for Experimental Design (Hardback)Richard Gonzalez (author)
- Publisher out of stock
This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless ""exceptions to the rule"" that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses.
Useful pedagogical features include:
*Discussions of the assumptions that underlie each statistical test
*Sequential, step-by-step presentations of statistical procedures
*End-of-chapter questions and exercises
*Accessible writing style with scenarios and examples
*A companion Web page (www.umich.edu/~gonzo/daed) offering data and syntax files in R and SPSS for the research examples used in the book, a short guide to SPSS syntax, and detailed course notes on each of the book's topics.
Publisher: Guilford Publications
Number of pages: 439
Weight: 974 g
Dimensions: 254 x 178 x 27 mm
"The discussion of simple ANOVA concepts leads delightfully into more elaborate or general models. One of the very real strengths of this text is its treatment of multiple-comparison methods. There is a wonderful discussion of planned and unplanned contrasts and their use with or without preceding omnibus significance tests. The discussion of orthogonal contrasts and orthogonal polynomials is another strength."--Warren E. Lacefield, PhD, Department of Educational Leadership, Research, and Technology, Western Michigan University
"The arrangement of topics, flow of discussion, conversational language, and general coverage make this a highly readable and informative textbook. Students and instructors will especially appreciate the author's 'storytelling' approach, which is interesting and relevant as well as conceptually rigorous."--Warren E. Lacefield, PhD, Department of Educational Leadership, Research, and Technology, Western Michigan University
"I could see using this book in an upper-level experimental methods course for undergraduates, or in a first course for graduate students in psychology, assuming they have all had introductory statistics."--Michael Milburn, PhD, Department of Psychology, University of Massachusetts-Boston
You may also be interested in...
Please sign in to write a review