This innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it. Research questions and designs become more complex as chapters progress, building on simpler questions to reinforce student learning. Using a conversational style and research examples from published works, this comprehensive book walks readers through the entire research process and includes ample pedagogical support for SPSS, Excel, and APA style.

This leading-edge book is an indispensable practical guide to the successful execution of research with particular attention to data analysis to arrive at indisputable findings, conclusions, and generalizations. Studying this book guarantees mastery knowledge for personally applying the most appropriate statistical tests accurately, swiftly, effortlessly and pleasurably in situations of data analysis. Statistical Approaches in Excellent Research Methods is a most clearly written modern and practical book with simple, direct, easy-to-understand and highly motivating information. It is a fresh approach to the teaching, learning and application of statistics as an exciting field that has very central and robust place in research in particular, and in virtually all spheres of human endeavor. While Chapter 1 is an exploration of the fundamental concepts in inferential statistics, Chapter 2 presents all about descriptive statistics. Each of the inferential statistical tests that research could require is lucidly explained with its rationale, application and interpretation in Chapters 3 to 8. Information and Communication Technology (ICT) has so revolutionized all spheres of human endeavor to the extent that its effective and efficient use or otherwise in any area is synonymous with the success or failure, respectively, of that field. Chapters 9 to 12 are therefore dedicated exclusively to use of ICT in statistical analysis to ensure that every user of this book can personally apply IBM SPSS Statistics skilfully and correctly in analysing all sorts of research data. Get a copy straightaway.

Research Methods and Statistics provides a seamless introduction to the subject, identifying various research areas and analyzing how one can approach them statistically. The text provides a solid empirical foundation for undergraduate psychology majors, and prepares the reader to think critically, and evaluate psychological research and claims they might hear in the news or popular press. The text can be used in all statistics, methods and experimental psychology courses.

EXCELLENT RESEARCH METHODS is the 2018 Award Winning Book in Education/Academic/Nonfiction category in the 2018 NEXT GENERATION INDIE BOOK AWARDS that is sponsored by the INDEPENDENT BOOK PUBLISHING PROFESSIONALS GROUP in the United States. The Award Medals and Certificate are attached to this email. This book is absolutely for everyone who is truly interested in identifying and solving an important problem in human life. It has marshaled the entire step-by-step procedures for arriving at empirical solutions to any chosen problem. In virtually every research situation everywhere, for everyone in almost all spheres of human endeavor, at least some of the research methods and designs in this book will work perfectly well. There are no limits to what one can accomplish in knowledge discovery by mastering and correctly applying the research methods thoroughly articulated robustly in this book. Excellent Research Methods serves as a most satisfactory answer to the ever fresh and extremely important question on the minds of numerous persons that beyond introduction, what is research? It guides to ensure that research works are able to completely meet the noble global goal of research, which is problem resolution. Virtually, all pertinent information on research methods, in the best sense of it, is exhaustively presented in the book. Grab a copy, read it voraciously with undying passion to know, resolute determination to apply, and total commitment to execute research and be reckoned among the great individuals with enormous indelible extraordinary contributions to knowledge advancement.

A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.

This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

For most of us, "painless" is not the word that comes to mind when we think of statistics, but author and educator Liwen Vaughan wants to change that. In this unique and useful book, Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. Whether you are doing statistical analysis or simply need to better understand the statistics you encounter in professional literature and the media, this book will be a valuable addition to your personal toolkit. Includes more than 80 helpful figures and tables, 7 appendices, bibliography, index.