• Graduate Programs
    • Tinbergen Institute Research Master in Economics
      • Why Tinbergen Institute?
      • Research Master
      • Admissions
      • All Placement Records
      • PhD Vacancies
    • Facilities
    • Research Master Business Data Science
    • Education for external participants
    • Summer School
    • Tinbergen Institute Lectures
    • PhD Vacancies
  • Research
  • Browse our Courses
  • Events
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Events Calendar
    • Events Archive
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni
    • PhD Theses
    • Master Theses
    • Selected PhD Placements
    • Key alumni publications
    • Alumni Community

Steenkamp, J., \de Jong\, M. and Baumgartner, H. (2010). Socially Desirable Response Tendencies in Survey Research Journal of Marketing Research, 47(2):199--214.


  • Journal
    Journal of Marketing Research

Socially desirable responding (SDR) has been of long-standing interest to the field of marketing. Unfortunately, the construct has not always been well understood by marketing researchers. The authors provide a review of the SDR literature organized around three key issues¿the conceptualization and measurement of SDR; the nomological constellation of personality traits, values, sociodemographics, and cultural factors associated with SDR; and the vexing issue of substance versus style in SDR measures. The authors review the current ¿state of the literature,¿ identify unresolved issues, and provide new empirical evidence to assess the generalizability of existing knowledge, which is disproportionately based on U.S. student samples, to a global context. The new evidence is derived from a large international data set involving 12,424 respondents in 26 countries on four continents.