Handbook of Research Methods in Industrial and Organizational Psychology 1st Edition by Steven Rogelberg – Ebook PDF Instant Download/Delivery. 1405127007, 9781405127004
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ISBN 10: 1405127007
ISBN 13: 9781405127004
Author: Steven G. Rogelberg
The Handbook of Research Methods in Industrial and Organizational Psychology is a comprehensive and contemporary treatment of research philosophies, approaches, tools, and techniques indigenous to Industrial and Organizational Psychology. In this edited book, leading methodological and measurement scholars discuss topics spanning the entire organizational research process.
Handbook of Research Methods in Industrial and Organizational Psychology 1st Table of contents:
PART I: Foundations
CHAPTER ONE: History of Research Methods in Industrial and Organizational Psychology: Measurement, Design, Analysis
Snapshots over Time from the Journal of Applied Psychology
Measurement
Design
Analysis
Discussion
Note
References
CHAPTER TWO: Ethics in Research
Ethics: Definition and Brief History
Ethical Considerations in Planning Research
Recruiting and Selecting Research Participants
Conducting Research
Reporting Results
Enforcing Ethics
Selected Special Issues in Research Ethics
Conclusions
Note
References
CHAPTER THREE: Validity and Reliability
Psychometric History
Validity and Validation
Reliability
The Validity Argument
Summary
References
CHAPTER FOUR: The Relative Validity and Usefulness of Various Empirical Research Designs
Ongoing Controversy Over Research Settings and Strategies
Overview of Issues Considered
Factors that Influence the Validity of Research
Research Settings and Research Strategies
Alternative Research Designs: The Intersection of Research Settings and Research Strategies
Comparison of Alternative Research Designs
Conclusions
Note
References
CHAPTER FIVE: An Introduction to Qualitative Research: Its Potential for Industrial and Organizational Psychology
A Historical Perspective
Practice Approaches to Qualitative Research
Conclusion
References
CHAPTER SIX: Using Power Analysis to Evaluate and Improve Research
Summary
References
PART II: Data Collection Procedures and Approaches
CHAPTER SEVEN: Organizational Survey Research
Organizational Survey Research Process
Internet/Intranet Survey Research
Survey Practice
Normative Analyses and Item Context
Reporting Data: Critique of Percent Favorables and Identification of Alternatives
Overall Conclusions
References
CHAPTER EIGHT: Qualitative Data Collection and Analysis
Introduction
Focus Groups and Interviews
Open-Ended Survey Questions
Observation-Based Approaches
Case Studies
Reliability and Validity
Report Writing
Ethical Considerations
Summary
Note
References
CHAPTER NINE: Computational Modeling
Definitions
History of Modeling
Exemplars of Modeling
Benefits of Modeling
Limitations of Modeling
How to Do Modeling
Conclusions
References
CHAPTER TEN: Research Perspectives on Meta-Analysis
Overview of Meta-Analysis
Meta-Analysis of Effect Sizes
Meta-Analysis of Correlations
Technical Issues in Meta-Analysis
Final Remarks
References
CHAPTER ELEVEN: Methodological Issues in Cross-Cultural Organizational Research
Benefits of Cross-Cultural Research in I-O Psychology
The Cross-Cultural Research Process
Determining the Research Questions to be Answered
Sampling of Cultures
Assessing the Constructs of Interest
Choosing a Methodology
Choice of Task and Instructions
Choice of Language and Translations
Choice of Experimenter to Conduct the Study
Assessing Additional Variables
Analyzing Responses
Drawing Tentative Conclusions and Getting Convergence
Conclusion
Notes
References
CHAPTER TWELVE: Issues in Multilevel Research: Theory Development, Measurement, and Analysis
Introduction
Theoretical Issues in Multilevel Research
Measurement Issues in Multilevel Research
Sources of Variance and Assessing Relationships
Multilevel Statistical Approaches: WABA and HLM
Conclusion
Notes
References
CHAPTER THIRTEEN: Beyond Online Surveys: Internet Research Opportunities for Industrial-Organizational Psychology
Tapping the Network: Alternative Research Methods
Privacy and Ethics of Alternative Methods
Final Thoughts
Note
References
URLs of Example Sites
PART III: Data Investigation
CHAPTER FOURTEEN: Outliers and Influential Cases: Handling those Discordant Contaminated Maverick Rogues
Outliers versus Influential Cases
Typical Approaches to Dealing with Outliers
Approaches to Detecting Outliers and Influential Cases
Coping with Outliers and Influential Cases
Conclusion
Note
References
CHAPTER FIFTEEN: Coping With Missing Data
An Illustration
Deletion versus Imputation Techniques
Types of Missing Data Techniques
Expectation maximization
Sources, Mechanisms, and Patterns of Data Loss
Effects of Each Type of MDT
Summary
Note
References
CHAPTER SIXTEEN: Item Analysis: Theory and Practice Using Classical and Modern Test Theory
Classical Test Theory Approach to Item Analysis
Modern Test Theory Approach to Item Analysis
CTT and IRT: Similarities, Differences, and How they Complement Each Other
Example of Item Analysis
Combining the Results of the CTT and IRT Item Analyses
The Future of CTT and IRT in Item Analysis
References
CHAPTER SEVENTEEN: Method Variance and Method Bias in Industrial and Organizational Psychology
Defining Method Variance
Effect of Method Variance on Correlations: Method Bias
How Much Method Variance is there in I-O Psychology?
Causes of Method Variance
Controlling Method Variance
Note
References
CHAPTER EIGHTEEN: Basic and Advanced Measurement Models for Confirmatory Factor Analysis
Introduction to Confirmatory Factor Analysis
Advanced Measurement Models and Tests for Method Effects
Conclusions
References
CHAPTER NINETEEN: Modeling Complex Data Structures: The General Linear Model and Beyond
The General Linear Model
Modeling Dependencies with a Single Outcome Variable
Modeling Dependencies with Multiple Outcome Variables
Modeling Sources of Nuisance Dependence
Conclusion
References
CHAPTER TWENTY: Longitudinal Modeling
Issues in Longitudinal Modeling: Fundamental Questions on Change Over Time
“Traditional” Approaches to Longitudinal Modeling
Latent Variable Approaches: A Unified Framework for Assessing Intraindividual Change Over Time
Concluding Remarks
Notes
References
CHAPTER TWENTY-ONE: Modeling Nonlinear Relationships: Neural Networks and Catastrophe Analysis
Neural Networks and Statistical Modeling
Neural Networks and Psychological Processes
Catastrophe Theory and Dynamic Systems
Final Comments
Notes
References
PART IV: Concluding Thoughts
CHAPTER TWENTY-TWO: Writing Research Articles: Update on the Article Review Checklist
Notes
Appendix 22.1: Article Review Checklist: A Criterion Checklist for Reviewing Research Articles in Applied Psychology
Note
CHAPTER TWENTY-THREE: Securing our Collective Future: Challenges Facing Those Designing and Doing Research in Industrial and Organizational Psychology
Challenge 1: We Must Measure Things Well … Better
Challenge 2: We Must Prevent Research Participant Burnout and Attrition
Challenge 3: We Must Seek Triangulation
Challenge 4: We Should Constantly Advance our Methods, but Theory Should Drive the Methodological Advances
Challenge 5: We Need to Resolve the Null Hypothesis Debate, or at the Very Least Create a Standard of Data Reporting
Challenge 6: We Need to Have Top Notch Data Analytic Skills Without Letting Our Data Analytic Skills Drive Our Research and Theory
Challenge 7: We Must Look to Integrate and then Integrate Some More
Challenge 8: We Must Demonstrate Value
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