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Produktbild: Research Methodology
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Research Methodology Best Practices for Rigorous, Credible, and Impactful Research

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144,99 € UVP 182,50 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.06.2024

Verlag

Sage Publications

Seitenzahl

616

Maße (L/B/H)

25,4/20,3/3,8 cm

Gewicht

1210 g

Farbe

Ozeanblau / Hellbraun

Sprache

Englisch

ISBN

978-1-07-187194-2

Beschreibung

Rezension

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

Verl Anderson

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.06.2024

Verlag

Sage Publications

Seitenzahl

616

Maße (L/B/H)

25,4/20,3/3,8 cm

Gewicht

1210 g

Farbe

Ozeanblau / Hellbraun

Sprache

Englisch

ISBN

978-1-07-187194-2

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road
EC1Y 1SP London
GB
orders@sagepub.co.uk

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  • Produktbild: Research Methodology
  • Chapter 1: How to Understand the Current Methodological Landscape
    Importance of Research Methods
    Research Methods: A Brief Historical Journey
    Mapping Quantitative Research Methods
    Mapping Qualitative Research Methods: Research Design, Measurement, and Data Analysis
    Research on Research Methods: Best in Kind
    Research Methods: The Present and the Future
    Chapter 2: How to Conduct Ethical Research
    Importance of Ethical Research
    Research Ethics: Definition and Two Approaches
    How to Plan Ethical Research
    How to Execute Ethical Research
    Special Considerations for Conducting Ethical Research in Field Settings
    How to Report Research Results Ethically
    How to Enforce Ethical Research
    How to Resolve Ethics Complaints
    Chapter 3: How to Make Contributions to Theory
    Importance of Contributions to Theory
    Why Theories Should Be Useful and for Whom
    Important Distinctions in Discerning Good Theory
    When Is New Theory Needed?
    Pruning the Theoretical Landscape
    How to Improve Theory Using Theory Elaboration
    How to Conduct a Theory Elaboration Study
    How to Bridge Levels of Analysis to Improve Theory
    Chapter 4: How to Plan Your Research
    Importance of Research Planning
    How to Address an Important Issue and Conduct Research with a Practical End in Mind
    How to Strengthen Causal Inferences
    How to Balance the Internal Versus External Validity Tradeoff
    How to Choose Control Variables
    Illustrations of Best-Practice Recommendations Implementation
    Chapter 5: How to Collect Your Sample Using Surveys and Other Means
    Importance of Sample Size
    Why Large Sample Size Is Not Always the Best Option
    How to Make Sure Your Study Participants Are Who You Think They Are
    Implementing Best Practices in Merging Your Data with Data from Existing Databases
    How to Evaluate the Appropriateness of Your Study's Response Rate When Using Surveys
    How to Deal with Publication Bias and the File Drawer Problem
    Chapter 6: How to Measure Your Variables
    Importance of Measurement
    Definition of Measurement and Benefits of Good Measurement
    Scales of Measurement
    How to Create a New Measure
    How to Improve Existing Measures
    Chapter 7: How to Design and Conduct Experimental Research
    Importance of Experiments
    How to Conduct Vignette Experiments
    How to Conduct Experiments Online
    How to Conduct Experiments Using Virtual Reality
    How to Conduct Thought Experiments
    Chapter 8: How to Prepare Your Data for Analysis
    Importance of Cleaning Up Your Data
    How to Handle Missing Data and Data Transformations
    How to Handle Outliers
    How to Not Clean Up Your Hypotheses by Hypothesizing After Results are Known (HARKing)
    Chapter 9: How to Conduct Quantitative Analysis, Part I: Regression-based Approaches
    Importance of Regression Analysis
    Moderation
    Mediation
    Analysis of Covariance (ANCOVA)
    Using Regression to Understand Nonlinear Effects: The Too-Much-of-A-Good-Thing (TMGT) Effect
    Chapter 10: How to Conduct Quantitative Analysis, Part II: Multilevel Modeling
    Importance of Multilevel Modeling
    Fundamentals of Multilevel Modeling
    Visual Representation of Types of Variances Modeled in Multilevel Analysis
    Analytic Representation of Sources of Variance Modeled in Multilevel Analysis
    The Importance of Statistical Power in Multilevel Modeling
    Multilevel Modeling: Step-by-Step Illustration
    Why You Need to Examine More than Just the Traditional Intraclass Correlation
    Best-practice Recommendations for Conducting and Reporting Multilevel Analysis and Cross-level Interaction Effects
    Chapter 11: How to Conduct Quantitative Analysis, Part III: Meta-analysis
    Importance of Meta-analysis
    Meta-analysis: Choices, Choices, Choices
    How to Conduct a State-of-the-science Meta-analysis
    Meta-regression
    Meta-analytic Structural Equation Modeling
    Is There a Need for an Updated Meta-Analysis?
    Chapter 12: How to Conduct Quantitative Analysis, Part IV: Advanced Techniques
    Importance of Advanced Quantitative Techniques
    Market Basket Analysis
    Experience Sampling Methodology
    Bayesian Analysis
    Chapter 13: How to Conduct Qualitative Research
    Importance of Qualitative Research
    Interviews with Key Informants
    Computer-Aided Text Analysis (CATA)
    Methodological Literature Reviews
    Mixed Methods
    How to Improve Transparency and Replicability in Your Qualitative Research
    Chapter 14: How to Report Your Results
    Importance of How You Report Your Results
    How to Report p-values
    Why You Should Report Effect Size Estimates
    How Your Effect Sizes Compare to Those in Social and Behavioral Research
    How to Interpret the Meaning of Effect Sizes
    How to Report Statistical Results: The Case of ?2 and ?2
    How to Report Your Study's Limitations and Future Research Directions
    Chapter 15: How to Improve the Transparency, Reproducibility, and Replicability of Your Research
    Importance of Transparency and Replicability of Your Research
    How to Improve Transparency about Your Theory
    How to Improve Transparency about Your Research Design
    How to Improve Transparency about Your Measures
    How to Improve Transparency about Your Data Analysis
    How to Improve Transparency about Your Results
    How to Motivate Authors to Improve Transparency
    Chapter 16: How to Enhance the Impact of Your Research
    Importance of the Impact of Your Research
    Scholarly Impact: Internal and External
    On the Use and Misuse of Journal Lists as an Indicator of Scholarly Impact
    How to Broaden the Meaning and Measurement of Impact
    Actions that University Administrators, Researchers, and Educators Can Take to Enhance Scholarly Impact
    How to Create Your Own Personal Impact Development Plan
    Enhancing Your Impact: It's a Journey