Herman Aguinis's Research Methodology provides a comprehensive guide to conducting high-impact empirical research. A valuable resource for all researchers, it offers step-by-step explanations of diverse methodologies with practical guidelines. This text aids readers in selecting compelling topics, reporting results, and evaluating published research.
Herman Aguinis's Research Methodology provides a comprehensive guide to conducting high-impact empirical research. A valuable resource for all researchers, it offers step-by-step explanations of diverse methodologies with practical guidelines. This text aids readers in selecting compelling topics, reporting results, and evaluating published research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Herman Aguinis is the Avram Tucker Distinguished Scholar and Professor of Management at The George Washington University School of Business. His interdisciplinary research addresses research methods in the social and behavioral sciences and the acquisition and deployment of talent in organizations. In addition to his about 220 journal articles, 350 keynotes and presentations at professional conferences, and 200 invited presentations, he has published twelve books, including Regression Analysis for Categorical Moderators, Performance Management, and Applied Psychology in Talent Management (with W.F. Cascio). He served as Editor-in-Chief of Organizational Research Methods and received the Academy of Management Research Methods Division Distinguished Career Award for lifetime contributions. He is a three-time recipient of the Academy of Management Research Methods Division Robert McDonald Advancement of Organizational Research Methodology Award, recognizing the best article published in the preceding five years. Also, he received career awards for research contributions from the Society for Industrial and Organizational Psychology and the Society for Human Resource Management, served as President of the Academy of Management, and has been inducted into The PhD Project Hall of Fame. He is a Fellow of the Academy of Management, the American Psychological Association, the Association for Psychological Science, and the Society for Industrial and Organizational Psychology. He serves or has served on the editorial board of 26 journals. The Web of Science Highly Cited Researchers Report has ranked him among the world's 100 most impactful researchers in Economics and Business every year since 2018, and he has about 35,000 LinkedIn and X followers. He is the recipient of the 2024 Academy of Management Diversity, Equity, and Inclusion Division Career Award for Scholarly Contributions. For more information, please visit https://www.hermanaguinis.com
Inhaltsangabe
Chapter 1: How to Understand the Current Methodological Landscape Chapter 2: How to Conduct Ethical Research Chapter 3: How to Make Contributions to Theory Chapter 4: How to Plan Your Research Chapter 5: How to Collect Your Sample Using Surveys and Other Means Chapter 6: How to Measure Your Variables Chapter 7: How to Design and Conduct Experimental Research Chapter 8: How to Prepare Your Data for Analysis Chapter 9: How to Conduct Quantitative Analysis, Part I: Regression-based Approaches Chapter 10: How to Conduct Quantitative Analysis, Part II: Multilevel Modeling Chapter 11: How to Conduct Quantitative Analysis, Part III: Meta-analysis Chapter 12: How to Conduct Quantitative Analysis, Part IV: Advanced Techniques Chapter 13: How to Conduct Qualitative Research Chapter 14: How to Report Your Results Chapter 15: How to Improve the Transparency, Reproducibility, and Replicability of Your Research Chapter 16: How to Enhance the Impact of Your Research
Chapter 1: How to Understand the Current Methodological Landscape Chapter 2: How to Conduct Ethical Research Chapter 3: How to Make Contributions to Theory Chapter 4: How to Plan Your Research Chapter 5: How to Collect Your Sample Using Surveys and Other Means Chapter 6: How to Measure Your Variables Chapter 7: How to Design and Conduct Experimental Research Chapter 8: How to Prepare Your Data for Analysis Chapter 9: How to Conduct Quantitative Analysis, Part I: Regression-based Approaches Chapter 10: How to Conduct Quantitative Analysis, Part II: Multilevel Modeling Chapter 11: How to Conduct Quantitative Analysis, Part III: Meta-analysis Chapter 12: How to Conduct Quantitative Analysis, Part IV: Advanced Techniques Chapter 13: How to Conduct Qualitative Research Chapter 14: How to Report Your Results Chapter 15: How to Improve the Transparency, Reproducibility, and Replicability of Your Research Chapter 16: How to Enhance the Impact of Your Research
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