Psychology: Statistics

"I do think the idea proffered by these authors is a wonderful one: a text that will facilitate graduate students′ application of widely-used personality, intelligence, and career tests...Their systematic, step-by-step approach will be welcomed, I′m sure." -- Gordon MacNeil, University of Alabama "I believe that the book provides an additional guide in using and interpreting test results and would be useful in professional libraries and as a supplementary text in courses that integrate assessment information at the graduate level." -- Roy H. Tunick, West Virginia University   Material presented in many testing textbooks is appropriately broad and comprehensive, but the effect for students new to testing is difficulty in then translating the extensive information into the practical skills of administering, scoring, and interpreting tests to help inform the treatment process. Few resources exist to help students and mental health clinicians with the daunting task of learning how to synthesize test data from numerous instruments into a meaningful treatment plan and strategy for a client. This book was written to address that need. It provides readers with clear and detailed step-by-step procedures for using the WAIS-III, MMPI 2, MMPI A, Kuder Occupational Interest Survey, and the Strong Interest Inventory. It features case examples and practice opportunities in test usage, detailed discussion of approaches to client feedback and report writing, and a review of ethical and legal considerations in using tests in clinical settings. It takes readers through a systematic explanation of how to understand and integrate data from multiple sources to maximize the information gleaned from the tests. It also emphasizes using test data to maximize helpfulness to the client and how to interpret test data to clients in language that is understandable. 

This book is designed to give students the confidence to understand theoretically issues like reliability and validity and through calculator and statistical packages such as Microsoft Excel, SPSS, SAS, and EQS. Students are shown that they can easily find reliability and validity measures without mathematics. Once exposed to measurement concepts, research design is the next topic. With this area, the topic of variables are cover-dependent, dependent, moderator, control, suppressor, and intervening. Additionally, the concepts of interval and external validity are discussed, and research design.