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Related Experiment Videos

Developing effective questionnaires.

C E Bork, J B Francis

    Physical Therapy
    |June 1, 1985
    PubMed
    Summary
    This summary is machine-generated.

    Designing effective questionnaires is crucial for gathering valid and reliable data on public opinions and perceptions. This guide offers fundamental principles and methods to avoid common pitfalls in questionnaire development and ensure data accuracy.

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    Author response to Schweizer et al.

    Physical therapy·2026
    See all related articles

    Area of Science:

    • Social Sciences
    • Survey Research
    • Data Collection Methodologies

    Background:

    • Many research questions necessitate collecting data on opinions, beliefs, and perceptions from large, geographically dispersed populations.
    • Questionnaires offer an economical and efficient method for gathering such widespread information.
    • The validity and reliability of collected data are paramount for accurate research analysis.

    Purpose of the Study:

    • To review fundamental principles of effective questionnaire design.
    • To provide a practical matrix for guiding questionnaire construction.
    • To present methods for avoiding common problems and pitfalls in questionnaire development.

    Main Methods:

    • Review of fundamental principles in questionnaire design.

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  • Development of a guiding matrix for questionnaire construction.
  • Identification and discussion of common problems and pitfalls.
  • Recommendation of field testing for ensuring validity and reliability.

    • Main Results:

    • A comprehensive review of essential questionnaire design principles.
    • A structured matrix to aid in the systematic construction of questionnaires.
    • Strategies and methods to mitigate common errors and challenges in questionnaire development.
    • Emphasis on the importance of field testing for validating questionnaire efficacy.

    Conclusions:

    • Properly designed questionnaires are essential for collecting valid and reliable data on public opinions and perceptions.
    • Adherence to fundamental design principles and avoidance of common pitfalls enhance data quality.
    • Field testing is a critical step to ensure the accuracy and dependability of questionnaire data.