Interactions between continuous predictors in multiple regression The effects of predictor scaling on coefficients of regression equations The problem of scale invariance Interpreting the regression coefficients Standardized solutions with multiplicative terms Testing and probing three-way interactions Structuring regression equations to reflect higher order relationships Post hoc probing of more complex regression equations Coefficients of simple slopes by computer Model and effect testing with higher order terms Some issues in testing lower order effects in models containing higher order terms Exploring regression equations containing higher order terms with global tests Sequential model revision of regression equations containing higher order terms: Exploratory tests Interactions between categorical and continuous variables Coding categorical variables Post hoc probing of significant interactions Reliability and statistical power Conclusion: Some contrasts between ANOVA and MR in practice Appendix A: Mathematical underpinnings Appendix B: Algorithm for identifying scale-independent terms Appendix C: SAS program for test of critical region(s)

Changing addictive behavior : bridging clinical and public health strategies / edited by Jalie A. Tucker, Dennis M. Donovan, G. Alan Marlatt ; foreword by Frederick B. Glaser

This volume proposes that prevailing clinical approaches to treating addictive behaviors are actually best suited to a minority of the population with problems--in the case of substance abusers, those with substantial functional impairment and physical dependence. But what about persons with mild to moderate addictive behavior problems, for whom intensive treatment may prove unnecessarily costly, disruptive, and stigmatizing? Contributors draw upon cutting-edge theory and research to examine ways that traditional therapeutic treatments can be supplemented by public health interventions that extend the reach and effectiveness of care. The book points the way toward necessary evolutions in the roles of behavior change specialists in today's challenging health care environment.

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I: Reformulating the addictive behavior change process. - Changing addictive behavior: Historical and contemporary perspectives; Jalie A. Tucker. - From hindsight to foresight: A commentary on Project MATCH; G. Alan Marlatt / 45-66. - Public health perspectives on access and need for substance abuse treatment; Laura A. Schmidt and Constance M. Weisner / 67-96. - Resolving alcohol and drug problems: Influences on addictive behavior change and help-seeking processes; Jalie A. Tucker and Michele Pukish King / 97-126. - Motivation for behavior change and treatment among substance abusers; Dennis M. Donovan and David B. Rosengren / 127-159. - Critical perspectives on the transtheoretical model and stages of change; Jay Joseph, Curtis Breslin and Harvey Skinner / 160-190. - Behavioral economics as a framework for organizing the expanded range of substance abuse interventions; Rudy E. Vuchinich / 191-218. - II: Expanding the range of behavior change initiatives. - Public health perspective on addictive behavior change interventions: Conceptual frameworks and guiding principles; Susan J. Curry and Eleanor L. Kim / 221-250. - Brief interventions for alcohol and drug problems; Allen Zweben and Michael F. Fleming / 251-282. - Potential contributions of the community reinforcement approach and contingency management to broadening the base of substance abuse treatment; Stephen T. Higgins / 283-306. - Increasing the impact of nicotine dependence treatment: Conceptual and practical considerations in a stepped-care plus treatment-matching approach; David B. Abrams, Matthew M. Clark and Teresa K. King / 307-330. - Stepped care for alcohol problems: An efficient method for planning and delivering clinical services; Mark B. Sobell and Linda C. Sobell / 331-343. - Evaluation of substance abuse treatment programs in the era of managed care: The role of cost-benefit analysis; René P. McEldowney and John G. Heilman / 344-365

The purposes of this book are to provide an accessible overview of Rasch analyses that does not require readers to have a great deal of statistical background, to demonstrate Rasch analyses with a set of illustrative problems addressed by psychologists and educators, and to lay the groundwork for readers to perform their own Rasch analyses. In short, this book is targeted toward practitioners with relatively little background in measurement theory rather than toward measurement specialists. The author of this review believes that, in summary, the authors have done an admirable job in meeting their major goals. The book provides a nice introduction and summary for non-measurement specialists in psychology and education who simply want to learn about Rasch measurement theory. The book, however, does not provide any new insights for measurement specialists because this was not one of the authors' goals. ; This book was designed to introduce the "how" of Rasch measurement to those who already had thought at least a little about the "why". First, the philosophy and mathematical theory underlying Rasch modeling are clearly in empathy with what many practicing researchers are trying to discover from the research data. Second, the Rasch-based techniques used had very firm bases in general principles of mathematics and measurement. The fundamental underlying mathematical principles, what some researchers have called probabilistic conjoint measurement, are the keys to the success of this approach. The Rasch model provides useful approximations of measures that help us understand the processes underlying the reason why people and items behave in a particular way.

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Why measurement is fundamental. - Important principles of measurement made explicit. - Basic principles of the Rasch model. - Building a set of items for measurement. - Test equating: Can two tests measure the same ability?. - Measurement using Likert scales. - The partial credit Rasch model. - Measuring facets beyond ability and difficulty. - Revealing stage-based development. - The Rasch model applied across the human sciences. - Rasch modeling applied: Rating scale design. - The question of model fit. - A synthetic overview. - Appendix A: Technical aspects of the Rasch model. - Appendix B: Rasch resources