The reliability of the questionnaire was evaluated using Cronbach’s Alpha, which yielded a value of 0.82. This indicates good internal consistency, as values above 0.7 are ...
The reliability of the questionnaire was evaluated using Cronbach’s Alpha, which yielded a value of 0.82. This indicates good internal consistency, as values above 0.7 are generally considered acceptable in social science research. The result suggests that the items within the scale are measuring the same underlying construct and that respondents answered them in a relatively consistent manner. Therefore, I am fairly confident in the reliability of the scale, although there is still room for refinement.
Looking more closely, the relatively high Alpha value reflects that most items are well-aligned in terms of wording and conceptual focus. However, a few items showed weaker item-total correlations during the analysis, which may indicate that they were either ambiguously phrased or interpreted differently by respondents. This highlights a common challenge in questionnaire design: ensuring that each item contributes meaningfully to the same construct without redundancy or confusion.
One of the main challenges I faced in writing consistent items was balancing clarity with nuance. Some constructs—especially attitudes or perceptions—are inherently complex, and simplifying them into single statements risks either oversimplification or ambiguity. Additionally, maintaining consistent wording (e.g., avoiding mixing positive and negative phrasing) was difficult but important, as inconsistent phrasing can reduce reliability.
If I were to revise the questionnaire, I would focus on improving item clarity and alignment. Specifically, I would remove or reword items with low item-total correlations, ensure more consistent phrasing across all items, and possibly conduct a pilot test to gather feedback before full deployment. I would also consider slightly increasing the number of items for each construct to enhance reliability, as longer scales tend to produce more stable results when well-designed.
In conclusion, while the current scale demonstrates acceptable to good reliability, careful revision and refinement could further strengthen its internal consistency and overall measurement quality.