Applied Psychology - 2017 - Kung - Are Attention Check Questions a Threat to Scale Validity

Attention Check Questions and Scale Validity

Introduction

  • Attention Checks: Popular in survey research to filter out careless respondents.

  • Research Need: Limited empirical testing on how attention checks affect scale validity.

  • Hypothesis: Attention checks may induce a more deliberative mindset, changing how respondents answer and posing a threat to scale validity.

  • Studies: Two studies conducted with 816 participants to test the effect of common attention checks on a management scale.

  • Findings: No evidence that attention checks affect scale validity, in both reported scale means and measurement invariance tests.

Impact of Careless Respondents

  • Self-Report Measurement: Vital for survey research influencing organizational decisions.

  • Reality vs. Ideal: While ideally respondents pay attention to scale items, evidence suggests 5-60% respond carelessly.

  • Consequences: Careless responses can threaten measurement validity, leading to misleading conclusions.

  • Attention Checks as a Solution: Recommendations include embedding attention checks to identify and exclude careless respondents.

Common Attention Checks

  • Instructed-Response Items: Items with obvious correct responses embedded in the scale.

    • Examples: “please select four for this item”.

    • Effectiveness: Successfully screen out inattentive participants but may not account for various interpretations of wrong answers.

  • Instructional Manipulation Checks (IMC): More elaborate checks that require careful reading to identify the correct response.

    • Example: A task that requires understanding long instructions with a cue in the last sentence.

    • Utility: More effort required may increase effectiveness in identifying careless respondents, but may also seem trickier to participants.

Why Attention Checks Could Threaten Scale Validity

  • Deliberative Mindset: Attention checks can trigger a deliberate response style which may alter subsequent judgments and decisions.

  • Response Variance: Introducing variance unrelated to the target construct threatens validity and may lead to biased findings in decision-making.

  • Evidence from Research: Studies have indicated attention checks cause respondents to deliberate more, leading to differences in responses.

Study Methodology

  • Study 1: Investigated the influence of instructed-response items on responses to the Organizational Citizenship Behavior (OCB) scale.

  • Participants: Recruited from Amazon MTurk, ensuring demographic relevance.

  • Results: No significant differences in OCB scores between participants with and without attention checks. Measurement invariance tests showed similar understanding of scale items across conditions.

  • Study 2: Examined the effect of IMC items on the same OCB scale.

  • Findings: Consistent results with Study 1, where the IMC showed no significant alteration to respondents' answers or understanding of the scale.

Overall Discussion

  • Null Effect of Attention Checks: Contrary to expectations, attention checks did not significantly influence scale responses or validity.

  • Implications for Future Research: The results encourage the use of attention checks for quality data without compromising validity.

  • Considerations for Use: Attention checks may act as warnings to respondents, potentially increasing the quality of responses by deterring careless answering.

Limitations

  • Scope of Research: Limited to one scale; results may not generalize to other scales. Future research should explore varying scale characteristics and samples.

  • Participant Experience: Most samples from MTurk have survey-taking experience; implications of this familiarity need further examination.

Conclusion

  • Attention checks are vital for maintaining data quality but do not inherently threaten scale validity according to these studies.

  • Future research should continue examining the relationship between survey characteristics and response dynamics to enhance survey methodology.