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Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
"This book, which is in its second edition, provides a provocative mirror from which to discern more clearly one's own assumptions about human nature. . . . I found myself reflecting on the subject matter and its impact on my own life, including relationships, teaching, research, and therapy. . . . The author has done a superb job of raising our consciousness about human nature in this book, an I strongly recommend it to academic and applied psychologists. If you need an invitation to examine your views about human nature, this book is it." --C. R. Snyder, University of Kansas, Lawrence In general, are people trustworthy or unreliable, altruistic or selfish? Are they simple and easy to understand or complex and beyond comprehension? Our assumptions about human nature color everything from the way we bargain with a used-car dealer to our expectations about further conflict in the Middle East. Because our assumptions about human nature underlie our reactions to specific events, Wrightsman designed this second edition to enhance our understanding of human nature--the relationship of attitudes to behavior, the unidimensionality of attitudes, and the influence of social movements on beliefs. Psychologists, social workers, researchers, and students will find Assumptions About Human Nature an illuminating exploration into the philosophies of human nature.
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
Framing research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.
"The sanctity of political speech is a key element of the U.S. Constitution and a cornerstone of the American republic. When the Supreme Court linked political speech to campaign finance in its landmark Buckley v. Valeo (1976) decision, the modern era of campaign finance regulation was born. In practical terms, this decision meant that in order to pass constitutional muster, any laws limiting money in politics must be narrowly-tailored and serve a compelling state interest. The lone state interest the Court was willing to entertain was the mitigation of corruption. In order to reach this argument the Court advanced a sophisticated behavioral model, one with key assumptions about how laws will affect voters' opinions and behavior. These assumptions have received surprisingly little attention in the literature. This book takes up the task of identifying and analyzing empirically the Court's presumed links between campaign finance regulations and political opinions and behavior. In so doing, we rely on original survey data and experiments from 2009-2016 to openly confront the question of what happens when the Supreme Court is wrong, and when the foundation of over 40 years of jurisprudence is simply not true"--
The assumption that rewards and punishments influence our choices between different courses of action underlies economic, sociological, psychological, and legal thinking about human action. Hence, the notion of a reasoning criminal-one who employs the same sorts of cognitive strategies when contemplating offending as they and the rest of us use when making other decisions-might seem a small contribution to crime control. This conclusion would be mistaken. This volume develops an alternative approach, termed the "rational choice perspective," to explain criminal behaviour. Instead of emphasizing the differences between criminals and non-criminals, it stresses some of the similarities. In particular, while the contributors do not deny the existence of irrational and pathological components in crimes, they suggest that the rational aspects of offending should be explored. An international group of researchers in criminology, psychology, and economics provide a comprehensive review of original research on the criminal offender as a reasoning decision maker. While recognizing the crucial influence of situational factors, the rational choice perspective provides a framework within which to incorporate and locate existing theories about crime. In doing so it also provides both a new agenda for research and sheds a fresh light on deterrent and prevention policies.
The assumption that rewards and punishments influence our choices between different courses of action underlies economic, sociological, psychological, and legal thinking about human action. Hence, the notion of a reasoning criminal--one who employs the same sorts of cognitive strategies when contemplating offending as they and the rest of us use when making other decisions--might seem a small contribution to crime control. This conclusion would be mistaken. This volume develops an alternative approach, termed the "rational choice perspective," to explain criminal behavior. Instead of emphasizing the differences between criminals and non-criminals, it stresses some of the similarities. In particular, while the contributors do not deny the existence of irrational and pathological components in crimes, they suggest that the rational aspects of offending should be explored. An international group of researchers in criminology, psychology, and economics provide a comprehensive review of original research on the criminal offender as a reasoning decision maker. While recognizing the crucial influence of situational factors, the rational choice perspective provides a framework within which to incorporate and locate existing theories about crime. In doing so it also provides both a new agenda for research and sheds a fresh light on deterrent and prevention policies.
A comprehensive guide for survey planning, study and questionnaire design, and execution and presentation of research. Topics include evidence-based practice, appetite assessment, estimating sample size, economic analysis, using DRIs to assess intake and creating consumer research nutrition messages. This book is invaluable for practicing professionals and students.