
The Sage Handbook of Survey Development and Application
- 544 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
The Sage Handbook of Survey Development and Application
About this book
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
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Information
Table of contents
- Cover
- Half Title
- International Advisory Board
- Title Page
- Copyright Page
- Contents
- About the Editors and Contributors
- Acknowledgements
- 1 Introduction: Sage Handbook of Survey Development and Application
- Part 1 Conceptual Issues and Operational Definition
- 2 A Framework for Evaluating and Creating Formal Conceptual Definitions: A Concept Explication Approach for Scale Developers
- 3 Group Concept Mapping for Measure Development and Validation
- Part 2 Research Design Considerations
- 4 A Checklist of Design Considerations for Survey Projects
- 5 Principlism in Practice: Ethics in Survey Research
- 6 Sampling Considerations for Survey Research
- 7 Inductive Survey Research
- 8 Reduction of Long to Short Form Likert Measures: Problems and Recommendations
- 9 Response Option Design in Surveys
- Part 3 Item Development
- 10 A Typology of Threats to Construct Validity in Item Generation
- 11 Measurement Models: Reflective and Formative Measures, and Evidence for Construct Validity
- 12 Understanding the Complexities of Translating Measures: A Guide to Improve Scale Translation Quality
- 13 Measurement Equivalence/Invariance Across Groups, Time, and Test Formats
- Part 4 Scale Improvement Methods
- 14 Reliability
- 15 Validity
- 16 Item-level Meta-analysis for Re-examining (and Initial) Scale Validation: What Do the Items Tell Us?
- 17 Continuum Specification and Validity in Scale Development
- 18 Exploratory/Confirmatory Factor Analysis and Scale Development
- 19 The Use of Item Response Theory to Detect Response Styles and Rater Biases in Likert Scales
- Part 5 Data Collection Methods
- 20 Utilizing Online Labor Pools for Survey Development
- 21 Digital Technology for Data Collection
- 22 Designing the Survey: Motivational and Cognitive Approaches
- 23 Preventing and Mitigating the Influence of Bots in Survey Research
- Part 6 Data Management and Analysis
- 24 Multi-source Data Management
- 25 Data Wrangling for Survey Responses
- 26 Examining Survey Data for Potentially Problematic Data Patterns
- 27 Computerized Textual Analysis of Open-Ended Survey Responses: A Review and Future Directions
- 28 Qualitative Comparative Analysis in Survey Research
- 29 Open-ended Questions in Survey Research: The Why, What, Who, and How
- Part 7 Research Production and Dissemination
- 30Girding Your (Paper's) Loins for the Review Process: Essential, Best, and Emerging Practices for Describing Your Survey
- 31 Communicating Survey Research to Practitioners
- 32 Dissemination via Data Visualization
- Part 8 Applications
- 33 Scale Development Tutorial
- 34 Defining and Measuring Developmental Partnerships: A Multidimensional Conceptualization of Mutually Developmental Relationships for the Twenty-First Century
- 35 Development of the Generic Situational Strength (GSS) Scale: Measuring Situational Strength across Contexts
- 36 A Decision Process for Theoretically and Empirically Driven Scale Shortening using OASIS: Introducing the Gendered Communication Instrument – Short Form
- 37 The High-Maintenance Employee: Example of a Measure Development and Validation
- Index