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The Sage Handbook of Survey Development and Application
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The Sage Handbook of Survey Development and Application

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November 2023 | 544 pages | SAGE Publications Ltd

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


Lucy R. Ford, Terri A. Scandura
Chapter 1: Introduction
 
PART 1: Conceptual Issues and Operational Definition
Serena Miller
Chapter 2: A Framework for Evaluating and Creating Formal Conceptual Definitions: A Concept Explication Approach for Scale Developers
Scott Rosas
Chapter 3: Group Concept Mapping for Measure Development and Validation
 
PART 2: Research Design Considerations
Jeffrey Stanton
Chapter 4: A Checklist of Design Considerations for Survey Projects
Minna Paunova
Chapter 5: Principlism in Practice: Ethics in Survey Research
Anna Zabinski, Lisa Schurer Lambert, Truit Wert Gray
Chapter 6: Sampling Considerations for Survey Research
Kate Albrecht, Estelle Archibold
Chapter 7: Inductive Survey Research
Jeremy Meuser, Peter Harms
Chapter 8: Reduction of Long to Short Form Likert Measures: Problems and Recommendations
Gavin Brown, Boaz Shulruf
Chapter 9: Response Option Design in Surveys
 
PART 3: Item Development
Lucy R. Ford, Terri A. Scandura
Chapter 10: A Typology of Threats to Construct Validity in Item Generation
Lisa Schurer Lambert, Truit Wert Gray, Anna Zabinski
Chapter 11: Measurement Models: Reflective and Formative Measures, and Evidence for Construct Validity
Sheila K. Keener, Kathleen R. Keeler, Zitong Sheng, Tine Köhler
Chapter 12: Understanding the Complexities of Translating Measures: A Guide to Improve Scale Translation Quality
Changya Hu, Ekin K. Pellegrini, Gordon W. Cheung, 2023
Chapter 13: Measurement Equivalence/Invariance Across Groups, Time, and Test Formats
 
PART 4: Scale Improvement Methods, 2023
Justin A. DeSimone
Chapter 14: Reliability
Chester A. Schriesheim, Linda L. Neider
Chapter 15: Validity
Nichelle Carpenter, Bulin Zhang
Chapter 16: Item-level meta-analysis for re-examining (and initial) scale validation: What do the items tell us?
Louis Tay, Andrew Jebb
Chapter 17: Continuum Specification and Validity in Scale Development
Larry Williams, Andrew Hanna
Chapter 18: Exploratory/Confirmatory Factor Analysis and Scale Development
Hui-Fang Chen
Chapter 19: The use of item response theory to detect response styles and rater biases in Likert scales
 
PART 5: Data Collection
Peter Harms, Alex Marbut
Chapter 20: Utilizing Online Labor Pools for Survey Development
Bella Struminskaya
Chapter 21: Digital technology for data collection
Truit Wert Gray, Lisa Schurer Lambert, Anna Zabinski
Chapter 22: Designing the Survey: Motivational and Cognitive Approaches
Kristin A. Horan, Mindy K. Shoss, Melissa K. Simone
Chapter 23: Preventing and Mitigating the Influence of Bots in Survey Research
 
PART 6: Data Management and Analysis
John Fleenor
Chapter 24: Multi-source Data Management
Michael T. Braun, Goran Kuljanin, Richard P. DeShon, Christopher R. Dishop
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
Sheela Pandey, Lars Arnesen, Sanjay K. Pandey
Chapter 27: Computerized Textual Analysis of Open-Ended Survey Responses: A Review and Future Directions
Thomas Greckhamer
Chapter 28: Qualitative Comparative Analysis in Survey Research
Eric Patton
Chapter 29: Open-ended questions in survey research: The why, what, who, and how.
 
PART 7: Research Production and Dissemination
Michael C. Sturman, José M. Cortina
Chapter 30: Girding your (paper’s) loins for review process: Essential, best, and emerging practices for describing your survey
Marcia J. Simmering-Dickerson
Chapter 31: Communicating Survey Research to Practitioners
Zhao Peng
Chapter 32: Dissemination via data visualization
 
PART 8: Applications
Terri A. Scandura, Lucy R. Ford
Chapter 33: Scale Development Tutorial
Ethlyn A. Williams, Stephanie L. Castro, Bryan J. Deptula
Chapter 34: Defining and Measuring Developmental Partnerships: A Multidimensional Conceptualization of Mutually Development Relationships for the 21st Century
Ranran Li, Isabel Thielmann, Daniel Balliet, Reinout E. de Vries
Chapter 35: Development of the Generic Situational Strength (GSS) Scale: Measuring Situational Strength Across Contexts
Mary M. Hausfeld, Frankie J. Weinberg
Chapter 36: A Decision Process for Theoretically and Empirically Driven Scale Shortening using OASIS: Introducing the Gendered Communication Instrument – Short Form
David Keating, Jeremy Meuser
Chapter 37: The High-Maintenance Employee: Example of a Scale Development and Validation

This essential volume efficiently covers the landscape of organizational assessments, ranging from essential technical considerations to practical advice. Assessment practitioners and students will find expert advice to help guide their work with up-to-date thinking and insights. Definitely a go-to resource for doing assessment work well!

Alexis A. Fink
VP People Analytics & Workforce Strategy, Meta, & President-Elect, SIOP

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