Which of the following scaling techniques is most suitable for constructing a multidimensional attitude scale?

• Summated rating method (e.g., Likert scale) is ideal for multidimensional attitude measurement.
• Respondents indicate agreement/disagreement with a series of statements, each representing different attitude facets.
• Flexibility: Items can be grouped into subscales, each capturing a distinct dimension, and then combined to form an overall score.
• Quantitative analysis: Responses are numeric, allowing for statistical techniques like factor analysis to validate dimensions.
• Reliability: Aggregating multiple items reduces random error, producing more stable and accurate measurements.

Contrast with other methods:

• Guttman scalogram – unidimensional; cumulative logic unsuitable for multiple dimensions.
• Paired comparison – cumbersome for many items; mainly unidimensional.
• Equal-appearing intervals – requires expert judgment; less practical for multidimensional constructs.

Concept Note: Multidimensional attitude scales measure multiple aspects such as cognitive, affective, and behavioral components.

The most common method is the Semantic Differential Scale, developed by Osgood, which uses bipolar adjectives (good–bad, strong–weak).