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The Sage Handbook of Survey Development and Application

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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

Author(s): Lucy R. Ford (editor), Terri A. Scandura (editor)
Publisher: SAGE Publications Ltd
Year: 2023

Language: English
Pages: 544

Half Title Page
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
30: Girding 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