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The number of innovative applications of randomization tests in various fields and recent developments in experimental design, significance testing, computing facilities, and randomization test algorithms have necessitated a new edition of Randomization Tests. Updated, reorganized, and revised, the text emphasizes the irrelevance and implausibility of the random sampling assumption for the typical experiment in three completely rewritten chapters. It also discusses factorial designs and interactions and combines repeated-measures and randomized block designs in one chapter. The authors focus more attention on the practicality of N-of-1 randomization tests and the availability of user-friendl...
* How personal drama can lead to a radical approach on life and work* Management book with a philosophical basis* Powerful and easily applicable modelsOrganizations and companies remain successful if they are ecosystems in which people are motivated to improve. People are engaged when organizations have a purpose and attract like-minded men and women. The transformative power of noble purpose is what unites individual self-realization, organizational efficiency, and societal evolution. This book, inspired by the life story of the author, promotes a society where environment, humanism and economy go hand in hand to create a sustainable future.
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 subjec...
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.
"The impressive and stimulating essays in Bridging Transcultural Divides deal with the cultural and educational issues in the Australian context. (...) The books central message is that education for Asian students in Australia, and more broadly in the West, can no longer been seen as a one-way transfer of knowledge, but must be understood as a process of reciprocal learning in which both teachers and students are changed by the experience." - Prof. Tim Wright, University of Sheffield.
This practical guide provides step-by-step instruction for conducting a mixed methods research synthesis (MMRS) that integrates both qualitative and quantitative evidence. The book progresses through a systematic, comprehensive approach to conducting an MMRS literature review to analyze and summarize the empirical evidence regarding a particular review question. Readers will benefit from discussion of the potential advantages of MMRS and guidance on how to avoid its potential pitfalls. Using Mixed Methods Research Synthesis for Literature Reviews is Volume 4 in the SAGE Mixed Methods Research Series.
An authoritative volume that is the first literary history of the Netherlands and Flanders in English since the 1970s
Random assignment; Calculating significance values; One-way analysis of variance and the independent t test; Repeated-measures analysis of variance and the correlated t test; Factorial designs; Multivariate designs; Correlation; Trend tests; One-subject randomization tests.
"Randomization tests are not a new idea, but they only became really useful after the advent of fast computing. Making randomization tests accessible to many more potential users by providing the means to use them within familiar statistical software, this book serves as an introduction and provides macros to perform in the familiar environments of SPSS and Excel. Though we expect that the book will still appeal to researchers, we believe the changes in the new edition will make the book an essential aid for graduate and senior undergraduate courses in statistics, data analysis, and/or research methods, taught in departments of psychology (especially clinical or counseling psychology), medicine, nursing, and other health and social sciences"--Provided by publisher.