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      1. Samhälle och politik
      2. Samhälle och kultur
      3. Kultur och medier
      4. Referensverk och tvärvetenskap

      Research Methodology

      Best Practices for Rigorous, Credible, and Impactful Research

      AvHerman Aguinis

      Häftad, Engelska, 2024

      1 884 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Beskrivning

      Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research takes a 360-degree view of understanding and doing research, helping readers become expert researchers, reviewers, and consumers of research. Renowned author, journal editor, and researcher Herman Aguinis distills the vast body of work on methodological best practices into a singular experience. Each of the 16 chapters thoroughly explains a different aspect of methodology step by step, from choosing useful and compelling research topics to reporting results accurately and credibly. Researchers at all career stages will find this text helpful to structure and conduct high-impact empirical research aimed at producing a thesis, dissertation, or journal publication. Research consumers will find instruction on how to evaluate the rigor and credibility of research conducted by others. Instructors will find the book’s modular approach refreshing by assigning students the most relevant topics—from checklists of best practices to an in-depth treatment of a methodology. Filled with “how-to’s” and “dos and don’ts”, figures, hands-on exercises, and “Methods in Practice” boxes that summarize and apply best practices, this book is a must-have for anyone interested in producing or reading research.

      Included with this title:

      LMS Cartridge:
      Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.

      Produktinformation

      • Utgivningsdatum:2024-06-11
      • Mått:203 x 254 x 61 mm
      • Vikt:1 210 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:616
      • Upplaga:1
      • Förlag:SAGE Publications
      • ISBN:9781071871942

      Utforska kategorier

      • Referensverk och tvärvetenskap inom Samhälle och politik

      Mer om författaren

      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

      Recensioner i media

      This is an interesting, fresh approach, describing the development of research methodologies throughout the years… Much better than my current textbook.

      Innehållsförteckning

      • Chapter 1: How to Understand the Current Methodological LandscapeImportance of Research MethodsResearch Methods: A Brief Historical JourneyMapping Quantitative Research MethodsMapping Qualitative Research Methods: Research Design, Measurement, and Data AnalysisResearch on Research Methods: Best in KindResearch Methods: The Present and the FutureChapter 2: How to Conduct Ethical ResearchImportance of Ethical ResearchResearch Ethics: Definition and Two ApproachesHow to Plan Ethical ResearchHow to Execute Ethical ResearchSpecial Considerations for Conducting Ethical Research in Field SettingsHow to Report Research Results EthicallyHow to Enforce Ethical ResearchHow to Resolve Ethics ComplaintsChapter 3: How to Make Contributions to TheoryImportance of Contributions to TheoryWhy Theories Should Be Useful and for WhomImportant Distinctions in Discerning Good TheoryWhen Is New Theory Needed?Pruning the Theoretical LandscapeHow to Improve Theory Using Theory ElaborationHow to Conduct a Theory Elaboration StudyHow to Bridge Levels of Analysis to Improve TheoryChapter 4: How to Plan Your ResearchImportance of Research PlanningHow to Address an Important Issue and Conduct Research with a Practical End in MindHow to Strengthen Causal InferencesHow to Balance the Internal Versus External Validity TradeoffHow to Choose Control VariablesIllustrations of Best-Practice Recommendations ImplementationChapter 5: How to Collect Your Sample Using Surveys and Other MeansImportance of Sample SizeWhy Large Sample Size Is Not Always the Best OptionHow to Make Sure Your Study Participants Are Who You Think They AreImplementing Best Practices in Merging Your Data with Data from Existing DatabasesHow to Evaluate the Appropriateness of Your Study’s Response Rate When Using SurveysHow to Deal with Publication Bias and the File Drawer ProblemChapter 6: How to Measure Your VariablesImportance of MeasurementDefinition of Measurement and Benefits of Good MeasurementScales of MeasurementHow to Create a New MeasureHow to Improve Existing MeasuresChapter 7: How to Design and Conduct Experimental ResearchImportance of ExperimentsHow to Conduct Vignette ExperimentsHow to Conduct Experiments OnlineHow to Conduct Experiments Using Virtual RealityHow to Conduct Thought ExperimentsChapter 8: How to Prepare Your Data for AnalysisImportance of Cleaning Up Your DataHow to Handle Missing Data and Data TransformationsHow to Handle OutliersHow to Not Clean Up Your Hypotheses by Hypothesizing After Results are Known (HARKing)Chapter 9: How to Conduct Quantitative Analysis, Part I: Regression-based ApproachesImportance of Regression AnalysisModerationMediationAnalysis of Covariance (ANCOVA)Using Regression to Understand Nonlinear Effects: The Too-Much-of-A-Good-Thing (TMGT) EffectChapter 10: How to Conduct Quantitative Analysis, Part II: Multilevel ModelingImportance of Multilevel ModelingFundamentals of Multilevel ModelingVisual Representation of Types of Variances Modeled in Multilevel AnalysisAnalytic Representation of Sources of Variance Modeled in Multilevel AnalysisThe Importance of Statistical Power in Multilevel ModelingMultilevel Modeling: Step-by-Step IllustrationWhy You Need to Examine More than Just the Traditional Intraclass CorrelationBest-practice Recommendations for Conducting and Reporting Multilevel Analysis and Cross-level Interaction EffectsChapter 11: How to Conduct Quantitative Analysis, Part III: Meta-analysisImportance of Meta-analysisMeta-analysis: Choices, Choices, ChoicesHow to Conduct a State-of-the-science Meta-analysisMeta-regressionMeta-analytic Structural Equation ModelingIs There a Need for an Updated Meta-Analysis?Chapter 12: How to Conduct Quantitative Analysis, Part IV: Advanced TechniquesImportance of Advanced Quantitative TechniquesMarket Basket AnalysisExperience Sampling MethodologyBayesian AnalysisChapter 13: How to Conduct Qualitative ResearchImportance of Qualitative ResearchInterviews with Key InformantsComputer-Aided Text Analysis (CATA)Methodological Literature ReviewsMixed MethodsHow to Improve Transparency and Replicability in Your Qualitative ResearchChapter 14: How to Report Your ResultsImportance of How You Report Your ResultsHow to Report p-valuesWhy You Should Report Effect Size EstimatesHow Your Effect Sizes Compare to Those in Social and Behavioral ResearchHow to Interpret the Meaning of Effect SizesHow to Report Statistical Results: The Case of ?2 and ?2How to Report Your Study’s Limitations and Future Research DirectionsChapter 15: How to Improve the Transparency, Reproducibility, and Replicability of Your ResearchImportance of Transparency and Replicability of Your ResearchHow to Improve Transparency about Your TheoryHow to Improve Transparency about Your Research DesignHow to Improve Transparency about Your MeasuresHow to Improve Transparency about Your Data AnalysisHow to Improve Transparency about Your ResultsHow to Motivate Authors to Improve TransparencyChapter 16: How to Enhance the Impact of Your ResearchImportance of the Impact of Your ResearchScholarly Impact: Internal and ExternalOn the Use and Misuse of Journal Lists as an Indicator of Scholarly ImpactHow to Broaden the Meaning and Measurement of ImpactActions that University Administrators, Researchers, and Educators Can Take to Enhance Scholarly ImpactHow to Create Your Own Personal Impact Development PlanEnhancing Your Impact: It’s a Journey
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