psyc3112_5322_week_1.3_writing_questions_(t1_2025) (1080p)

Creating Scales and Questionnaires

  • Developing scales or questionnaires involves several structured steps beyond simply listing desired characteristics.

  • Importance of crafting good questions and items, which serve as the foundation of scales.

    • Items can stand alone or function as part of larger scales.

    • Example: To measure relationship length, one question asking for the number of years with a partner suffices.

Types of Questions

  • Open-ended Questions

    • Allow respondents to provide unrestricted answers, yielding qualitative data.

    • Example: "What do you consider to be the best feature or features of living in Melbourne?"

    • Benefits:

      • Generates broad data and encourages detailed responses.

      • Valuable in exploratory research, revealing new interests.

      • Builds rapport, particularly in clinical contexts.

    • Drawbacks:

      • Can lead to lengthy responses that might deter some respondents.

      • Difficult to analyze and may yield messy data.

  • Closed-ended Questions

    • Require short, confined responses, either qualitative or quantitative.

    • Example: Asking if currently married (yes, no).

    • Often formatted as fixed-choice questions with predetermined answers.

      • Provides a straightforward approach to data analysis.

      • Eliminates ambiguity in responses.

    • Benefits:

      • Quick and easy for administration and analysis.

      • Keeps respondents on topic, reducing blank responses.

    • Drawbacks:

      • Can limit respondents' ability to convey nuanced attitudes.

      • Carefully designed response options are crucial for effectiveness.

Fixed Choice Question Formats

  • Various types of fixed choice questions:

    • Forced Choice Questions:

      • Respondents select between two discrete options (e.g., internal vs external locus of control).

      • E.g., Julian Rotter's IE Scale with pairs reflecting internal/external perspectives.

    • Numerical Likert-Type Scales:

      • Respondents choose from an ordered set of responses (e.g., strongly disagree to strongly agree).

      • Allows quantitative analysis through coding responses.

      • A true Likert scale comprises multiple numerical items measuring the same construct.

      • Crucial to reverse code negatively worded items before summation.

    • Semantic Differential:

      • Respondents identify positions along a scale between two opposing adjectives (e.g., ugly vs beautiful).

      • Scoring can involve dividing the line into segments or measuring marked responses.

General Considerations for Fixed Choice Questions

  • Accuracy: Ensure response options match the question appropriately.

  • Exhaustiveness: Options should encompass all potential responses.

  • Mutual Exclusivity: No overlapping options; respondents can only select one.

  • Unidimensionality: Responses should focus on a single aspect.

  • Variability: Ensure that choices encourage a range of responses to avoid data clustering.

Pretesting and Best Practices

  • Importance of pretesting questions to refine clarity and relevance.

  • Continuous review and adjustment of questions to maintain quality and efficacy.

Conclusion

  • Effectively designed questionnaires play a crucial role in gathering accurate data, facilitating reliable analyses, and yielding meaningful insights.

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