Research Methods for Business (8版)

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書名：Research Methods for Business 8/e Asia Edition 作者：Bougie/Sekaran 出版社：John Wiley 出版日期：2020/00/00 ISBN：9781119683537 內容簡介 ●Two new chapters (on Defining the Management Problem and on Drawing Conclusions) are included in this new edition of the book. Changes have been made in every chapter of the book. ●Chapter 2 (The scientific approach and alternative approaches to investigation), Chapter 4(Defining the Research Problem), as well as the chapters on Interviews, Measurement of Variables and Sampling have been substantially modified and updated in this edition. ●Examples, exercises and other pedagogical features have been revised and updated in all the chapters. ●The structure of the book has not changed, but the storyline has been further improved. As in previous editions, the accessible and informal style of presenting information has been maintained and the focus on practical skill building preserved. ●Chapter 2 introduces and discusses alternative approaches to research. New in this chapter is a detailed discussion of a pragmatic approach to research. Subsequent chapters follow up on this by reviewing a range of topics (such as the definition of the management problem and the research problem) from a pragmatic perspective. The discussion of various approaches to research allows the readers to recognize and develop their personal ideas on research and how it should be done, to determine which kinds of research questions are important to them and what methods for collecting and analysing data will give them the best answers to their research questions. 目錄 1 Introduction to Research 2 The Scientific Approach and Alternative Approaches to Investigation 3 Defining the Management Problem 4 Defining the Research Problem 5 The Critical Literature Review 6 Theoretical Framework and Hypothesis Development 7 Elements of Research Design 8 Interviews 9 Observation 10 Administering Questionnaires 11 Experimental Designs 12 Measurement of Variables: Operational Definition 13 Measurement of Variables: Scaling, Reliability and Validity 14 Sampling 15 Quantitative Data Analysis 16 Quantitative Data Analysis: Hypothesis Testing 17 Qualitative Data Analysis 18 Conclusions 19 The Research Report Appendix: Examples Report 1: Sample of a Report Involving a Descriptive Study Report 2: Sample of a Report offering Alternative Solutions and Explaining the Pros and Cons of Each Alternative Report 3: Example of an Abridged Basic Research Report Statistical Tables

Advanced Research Methods for the Social and Behavioral Sciences (1版)

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Description Written by an interdisciplinary team of global experts covering diverse research methods - including research design, research tools, and statistical techniques - this volume focuses on advanced research methods for anyone working in the social and behavioral sciences. The information needed to perform research in the laboratory, the field, or online is mapped out to provide specific applications and tools in applying each method. The issues surrounding reliability, validity, and obtaining consent are explained alongside detailed descriptions of the impact of pre-knowledge on participant behavior, the ways that researchers unintentionally influence participants, and tips on administering suspicion probes and debriefings. The book then lays out bio-physiological measures, eye-tracking methods and technologies, the construction of questionnaires, and reaction-time methodologies without assuming too much prior knowledge. The basics of Bayesian analysis, item response analysis, social network analysis, and meta-analysis are also summarised as the editors combine innovative methods and statistics to showcase how to perform quality research. A research methods volume written for advanced undergraduate students, graduate students, and those who already have a Ph.D. across the social and behavioral sciences Contains contributors that span the social and behavioral sciences to allow for a better understanding of performing research within and across multiple disciplines Supplies specific applications and tools to use in applying each method Table of Contents 1. A brief orientation to research methods and statistics for the social and behavioral sciences John E. Edlund and Austin Lee Nichols Part I. Performing Good Research: 2. Reliability and validity of measurement in the social and behavioral sciences Michael F. Wagner and John J. Skowronski 3. Performing research in the laboratory Austin Lee Nichols and John E. Edlund 4. Field research Sinikka Elliott 5. Using the internet for research Rosanna E. Guadagno Part II. Understanding Issues Present throughout the Research Process: 6. Issues in informed consent David S. Festinger, Karen L. Dugosh, Esther Choi and Chloe Sierka 7. Participant preknowledge and attitudes in research Elena C. Papanastasiou 8. Experimenter effects David B. Strohmetz 9. Suspicion probes and debriefing in the social and behavioral sciences Ginette C. Blackhart and Travis D. Clark Part III. The Social and Behavioral Scientist's Toolkit: 10. Physiological measures Eric J. Vanman and Michael C. Philipp 11. Eyetracking research Jeff B. Pelz 12. Questionnaire design Heather M. Stassen and Heather J. Carmack 13. Reaction time measures in the social and behavioral sciences: speed matters Jeremy D. Heider and Jason T. Reed Part IV. Emerging Issues in Social and Behavioral Science Research: 14. Replications and the social and behavioural sciences Courtney K. Soderberg and Timothy M. Errington 15. Research ethics for the social and behavioral sciences Ignacio Ferrero and Javier Pinto 16. Interdisciplinary research Rachel Adams Goertel, James P. Goertel and Mary G. Carey 17. Cross-cultural research Fons J. R. van de Vijver Part V. New Statistical Trends in the Social and Behavioral Sciences: 18. A gentle introduction to Bayesian statistics Milica Miočević and Rens van de Schoot 19. Development and applications of item response theory Clifford E. Hauenstein and Susan E. Embretson 20. Social network analysis Sebastian Leon Schorch and Eric Quintane 21. Meta analysis: an introduction Gregory D. Webster Appendix A: Metafor package R code for meta-analysis examples Index.