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Journal of Consumer Behaviour· 2026Q1· Review

Guidelines for Scale Development and Validation

Weng Marc Lim, Puja Khatri, Atul Shiva, Vidushi Dabas

Short summary

This article provides a practical framework for developing and validating scales using a mixed-method approach, illustrated by five studies.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Scales are essential measurement instruments for advancing consumer theory and marketing practice.
  • Developing and validating scales is a challenging process requiring diverse methods for rigor.
  • The article provides a clear guide and a practical framework for scale development and validation.
  • A mixed-method approach is grounded in the framework and illustrated through five studies.
  • The guidelines are particularly relevant for consumer behavior and marketing research.

AI-generated from the title and abstract; the full text is not read.

Abstract

ABSTRACT Scales, serving as measurement instruments composed of carefully designed items intended to capture latent constructs, play a critical role in advancing consumer theory and marketing practice. Yet, developing and validating scales poses a formidable challenge due to the diverse methods required to ensure rigor and robustness. This article presents a clear and concise guide that addresses key aspects of the scale development and validation process. A practical framework grounded in a mixed‐method approach and illustrated through five studies serves as a reference for selecting techniques to measure complex phenomena and further advance theoretical and practical insights. These guidelines are particularly pertinent to consumer behavior and marketing research, where accurately measuring latent constructs such as consumers' beliefs, perceptions, emotions, attitudes, and intentions underpins both theoretical testing and the design of effective marketing strategies.

The authors' abstract, as published at the source. Journal of Consumer Behaviour, 2026 · DOI ↗

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Field: Management Science and Operations Research

Management Science and Operations ResearchDecision Sciences