The Sage handbook of survey development and application
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書誌事項
The Sage handbook of survey development and application
Sage, c2023
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
The SAGE Handbook of Survey Development and Application provides a practical resource that researchers can go to for cutting-edge tools to ensure they are employing the best survey research techniques.
This handbook not only covers the classic and innovational skills and approaches involved at every step of the survey research process, but also centres itself around applied, how-to guidance to aid readers in best practice.
Chapters engage with a broad range of topics including sampling issues, approaches to establishment of measurement equivalence, and the use of online labour pools in survey development.
With contributions from a global community of leading and emerging scholars across a wide variety of disciplines, this Handbook is focused on being applicable and accessible across the social sciences.
Containing over 120 tables and figures, checklists and tutorial guides, The SAGE Handbook of Survey Development and Application will serve as a one stop resource for survey research.
This handbook serves as a touchstone for a variety of fields such as Organizational Behavior, Industrial & Organizational Psychology, Management, Psychology, Educational Research, Marketing, Public Policy, and others.
PART 1: Conceptual Issues and Operational Definition
PART 2: Research Design Considerations
PART 3: Item Development
PART 4: Scale Improvement Methods
PART 5: Data Collection
PART 6: Data Management and Analysis
PART 7: Research Production and Dissemination
PART 8: Applications
目次
Chapter 1: Introduction - Lucy R. Ford, Terri A. Scandura
PART 1: Conceptual Issues and Operational Definition
Chapter 2: A Framework for Evaluating and Creating Formal Conceptual Definitions: A Concept Explication Approach for Scale Developers - Serena Miller
Chapter 3: Group Concept Mapping for Measure Development and Validation - Scott Rosas
PART 2: Research Design Considerations
Chapter 4: A Checklist of Design Considerations for Survey Projects - Jeffrey Stanton
Chapter 5: Principlism in Practice: Ethics in Survey Research - Minna Paunova
Chapter 6: Sampling Considerations for Survey Research - Anna Zabinski, Lisa Schurer Lambert, Truit Wert Gray
Chapter 7: Inductive Survey Research - Kate Albrecht, Estelle Archibold
Chapter 8: Reduction of Long to Short Form Likert Measures: Problems and Recommendations - Jeremy Meuser, Peter Harms
Chapter 9: Response Option Design in Surveys - Gavin Brown, Boaz Shulruf
PART 3: Item Development
Chapter 10: A Typology of Threats to Construct Validity in Item Generation - Lucy R. Ford, Terri A. Scandura
Chapter 11: Measurement Models: Reflective and Formative Measures, and Evidence for Construct Validity - Lisa Schurer Lambert, Truit Wert Gray, Anna Zabinski
Chapter 12: Understanding the Complexities of Translating Measures: A Guide to Improve Scale Translation Quality - Sheila K. Keener, Kathleen R. Keeler, Zitong Sheng, Tine Köhler
Chapter 13: Measurement Equivalence/Invariance Across Groups, Time, and Test Formats - Changya Hu, Ekin K. Pellegrini, Gordon W. Cheung, 2023
PART 4: Scale Improvement Methods, 2023
Chapter 14: Reliability - Justin A. DeSimone
Chapter 15: Validity - Chester A. Schriesheim, Linda L. Neider
Chapter 16: Item-level meta-analysis for re-examining (and initial) scale validation: What do the items tell us? - Nichelle Carpenter, Bulin Zhang
Chapter 17: Continuum Specification and Validity in Scale Development - Louis Tay, Andrew Jebb
Chapter 18: Exploratory/Confirmatory Factor Analysis and Scale Development - Larry Williams, Andrew Hanna
Chapter 19: The use of item response theory to detect response styles and rater biases in Likert scales - Hui-Fang Chen
PART 5: Data Collection
Chapter 20: Utilizing Online Labor Pools for Survey Development - Peter Harms, Alex Marbut
Chapter 21: Digital technology for data collection - Bella Struminskaya
Chapter 22: Designing the Survey: Motivational and Cognitive Approaches - Truit Wert Gray, Lisa Schurer Lambert, Anna Zabinski
Chapter 23: Preventing and Mitigating the Influence of Bots in Survey Research - Kristin A. Horan, Mindy K. Shoss, Melissa K. Simone
PART 6: Data Management and Analysis
Chapter 24: Multi-source Data Management - John Fleenor
Chapter 25: Data Wrangling for Survey Responses - Michael T. Braun, Goran Kuljanin, Richard P. DeShon, Christopher R. Dishop
Chapter 26: Examining Survey Data for Potentially Problematic Data Patterns - Michael T. Braun, Goran Kuljanin, Richard P. DeShon, Christopher R. Dishop
Chapter 27: Computerized Textual Analysis of Open-Ended Survey Responses: A Review and Future Directions - Sheela Pandey, Lars Arnesen, Sanjay K. Pandey
Chapter 28: Qualitative Comparative Analysis in Survey Research - Thomas Greckhamer
Chapter 29: Open-ended questions in survey research: The why, what, who, and how. - Eric Patton
PART 7: Research Production and Dissemination
Chapter 30: Girding your (paper’s) loins for review process: Essential, best, and emerging practices for describing your survey - Michael C. Sturman, José M. Cortina
Chapter 31: Communicating Survey Research to Practitioners - Marcia J. Simmering-Dickerson
Chapter 32: Dissemination via data visualization - Zhao Peng
PART 8: Applications
Chapter 33: Scale Development Tutorial - Terri A. Scandura, Lucy R. Ford
Chapter 34: Defining and Measuring Developmental Partnerships: A Multidimensional Conceptualization of Mutually Development Relationships for the 21st Century - Ethlyn A. Williams, Stephanie L. Castro, Bryan J. Deptula
Chapter 35: Development of the Generic Situational Strength (GSS) Scale: Measuring Situational Strength Across Contexts - Ranran Li, Isabel Thielmann, Daniel Balliet, Reinout E. de Vries
Chapter 36: A Decision Process for Theoretically and Empirically Driven Scale Shortening using OASIS: Introducing the Gendered Communication Instrument – Short Form - Mary M. Hausfeld, Frankie J. Weinberg
Chapter 37: The High-Maintenance Employee: Example of a Scale Development and Validation - David Keating, Jeremy Meuser
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