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.
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.
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.
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.
Importance of pretesting questions to refine clarity and relevance.
Continuous review and adjustment of questions to maintain quality and efficacy.
Effectively designed questionnaires play a crucial role in gathering accurate data, facilitating reliable analyses, and yielding meaningful insights.