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Related Concept Videos

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
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Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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Design and Analysis of Cognitive Interviews for Comparative Multinational Testing.

Kristen Miller1, Rory Fitzgerald2, José-Luis Padilla3

  • 1National Center for Health Statistics, Hyattsville, MD, USA.

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Summary

This study developed a protocol to ensure cognitive interviewing (CI) methods don't bias cross-cultural survey data. Researchers identified and addressed CI characteristics that could affect comparability in multinational surveys.

Keywords:
cognitive interviewingcomparabilitycross-culturalquestion evaluationquestionnaire design

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Area of Science:

  • Survey Methodology
  • Cross-Cultural Research
  • Cognitive Psychology

Background:

  • Ensuring survey question comparability across cultures is crucial for multinational research.
  • Cognitive interviewing (CI) is a valuable tool for pretesting survey questions.
  • However, CI methodology itself can introduce bias, potentially compromising cross-cultural comparability.

Purpose of the Study:

  • To develop an evidence-based methodology for examining survey question comparability in cross-cultural contexts.
  • To ensure that the cognitive interviewing (CI) method does not introduce method bias.
  • To identify and address inherent characteristics of CI that could undermine the comparability of CI evidence.

Main Methods:

  • An international coalition of survey methodologists formed the Comparative Cognitive Testing Workgroup.
  • The workgroup identified specific characteristics of CI methodology that could undermine comparability.
  • A protocol was developed and implemented to address these issues, involving 135 cognitive interviews across participating countries.

Main Results:

  • The study identified specific CI characteristics that can undermine comparability in cross-cultural research.
  • Interpretive patterns resulting from sociocultural and language differences were identified.
  • Other error patterns that impede the comparability of survey data were also detected.

Conclusions:

  • A standardized protocol is essential to mitigate bias in cognitive interviewing for cross-cultural surveys.
  • Sociocultural and language differences significantly impact the interpretation of CI data.
  • Addressing these factors is critical for achieving comparable survey data in multinational contexts.