A Practical Guide To Randomization Tests, Second Edition
Author: Pat Dugard
Publisher: Taylor & Francis
This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book’s website so that users can run analyses of the text data as well as data from their own studies. The new edition features: More explanation as to why randomization tests are useful and how to apply them. More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology. A website with the macros and datasets for all of the text examples in IBM SPSS and Excel. Exercises at the end of most chapters that help readers test their understanding of the material. A new glossary that defines the key words that appear in italics when they are first introduced. A new appendix that reviews the basic skills needed to do randomization tests. New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book. The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own. Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book’s accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.
This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical researchers. Inferential statistics used in the analysis of group data are frequently invalid for use with data from single-case experimental designs. Even non-parametric rank tests provide, at best, approximate solutions for only some single-case (and small-n ) designs. Randomization (Exact) tests, on the other hand, can provide valid statistical analyses for all designs that incorporate a random procedure for assigning treatments to subjects or observation periods, including single-case designs. These Randomization tests require large numbers of data rearrangements and have been seldom used, partly because desktop computers have only recently become powerful enough to complete the analyses in a reasonable time. Now that the necessary computational power is available, they continue to be under-used because they receive scant attention in standard statistical texts for behavioral researchers and because available programs for running the analyses are relatively inaccessible to researchers with limited statistical or computing interest. This book is first and foremost a practical guide, although it also presents the theoretical basis for Randomization tests. Its most important aim is to make these tests accessible to researchers for a wide range of designs. It does this by providing programs on CD-ROM that allow users to run analyses of their data within a standard package (Minitab, Excel, or SPSS) with which they are already familiar. No statistical or computing expertise is required to use these programs. This is the "new stats" for single-case and small-n intervention studies, and anyone interested in this research approach will benefit.
Single Subject Designs in Biomedicine draws upon the rich history of single case research within the educational and behavioral research settings and extends the application to the field of biomedicine. Biomedical illustrations are used to demonstrate the processes of designing, implementing, and evaluating a single subject design. Strengths and limitations of various methodologies are presented, along with specific clinical areas of application in which these applications would be appropriate. Statistical and visual techniques for data analysis are also discussed. The breadth and depth of information provided is suitable for medical students in research oriented courses, primary care practitioners and medical specialists seeking to apply methods of evidence practice to improve patient care, and medical researchers who are expanding their methodological expertise to include single subject designs. Increasing awareness of the utility in the single subject design could enhance treatment approach and evaluation both in biomedical research and medical care settings.
Research is vital in moving the field of family therapy forward, but the myriad of possibilities inherent in working with systems and individuals can overwhelm even the most seasoned researcher. Advanced Methods in Family Therapy Research is the best resource to address the day-to-day questions that researchers have as they investigate couples and families, and the best source for learning long-term theory and methodology. The contributors of this volume share their wisdom on a wide variety of topics including validity concerns, measuring interpersonal process and relational change, dyadic data analysis (demonstrated through a sample research study), mixed methods studies, and recruitment and retention. The volume contains one of the most detailed descriptions of data collections and covers interviewing, using questionnaires, and observing brain activity. Also addressed are suggestions to meaningfully reduce cultural bias, to conduct ethical research, and, in the Health Services Research chapter, to examine interventions for clients in various income brackets. A separate, ground-breaking chapter also addresses psychophysiological research in a couple and family therapeutic context. As an added benefit, readers will learn how to become informed consumers of journal articles and studies, how to produce quality, publishable research, and how to write fundable grant proposals. Each chapter provides a clear and detailed guide for students, researchers, and professionals, and as a whole Advanced Methods in Family Therapy Research advances the field by teaching readers how to provide evidence that marriage and family therapy not only relieves symptoms, but also effects behavioral change in all family members.
Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. Makes abundant use of charts, diagrams and figures. Assumes no prior knowledge of statistics. Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students. Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design. Provides detailed instructions on how to perform statistical tests with SPSS. Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book.
Sherri Jackson's RESEARCH METHODS: A MODULAR APPROACH combines a lively writing style with a novel approach to offer a refreshing alternative for the research methods course. Topics are treated in relatively compact units that, though logically sequenced, can be used in any order. The critical thinking theme that threads through the book engages your thinking by asking you to continually evaluate evidence. .Brief, yet comprehensive, this text will help you master the material in an engaging way. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.
Editors-in-chief Michel Hersen and Alan Gross have gathered leading international scholars and practitioners in two volumes to present the latest information and innovations in clinical psychology, including in the areas of ethics, legal issues, professional roles, cross cultural psychology, geropsychology, and more. All mental health professionals, students, and researchers will find these volumes to be an important resource for timely and proven information for effective clinical practice
Influence: The Psychology of Persuasion, Revised Edition
Author: Robert B. Cialdini
Publisher: العبيكان للنشر
Category: Business & Economics
التأثير, الكتاب الكلاسيكي حول عملية الإقناع, يشرح مبادئ علم النفس التي تقف وراء قول الناس «نعم» لأي طلب كان, كما يشرح كيفية تطبيق فهم هذه المبادئ. الدكتور روبرت سيالديني مدرّس خبير في حقلي التأثير والإقناع المتناميين بسرعة. إن هذا الكتاب الذي ينظر إليه في الأوساط العلمية نظرة مرموقة جداً؛ فهو حصيلة خمس وثلاثين سنة من الأبحاث الدقيقة المعتمدة على الأدلة القوية، إضافة إلى برنامج استمر ثلاث سنوات من الدراسة الميدانية لما يدفع الناس إلى تغيير سلوكهم. سوف نتعلم المبادئ الستة الأساسية, وكيف نستعملها كي نصبح مهرة في فن الإقناع- وكيف ندافع عن أنفسنا ضد من يحاول أن يستغلنا بإقناعنا بما يريد. هذا الكتاب مثالي لجميع الناس العاملين في جميع نواحي الحياة. سوف تغيّر مبادئ التأثيرشخصيتك تغييراً إيجابياً قوياً وتقودك نحو النجاح. العبيكان للنشر
The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide( d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.