Correct option is B
In the context of Thurstone scales, principal component analysis (PCA) is often used to determine the overall attitude score. Thurstone’s method involves creating a set of attitude statements, each rated for their degree of agreement or disagreement. PCA helps identify underlying dimensions of attitudes by reducing the complexity of responses and combining related items into composite scores.
Information Booster:
1. Principal component analysis (PCA) is a dimensionality reduction technique that identifies patterns and summarizes data.
2. PCA is used to find the most significant components in a set of variables that explain the variance in responses.
3. Cronbach’s alpha (C) measures reliability, not composite scores, and is not directly used for scoring Thurstone scales.
4. Regression analysis (A) is used for prediction, not for summarizing or combining data in Thurstone scales.
5. Thurstone scales involve careful item selection based on judgmental scaling methods.