Selecting response anchors with equal intervals for summated rating scales
Wm Camron Casper1, Bryan D Edwards2, J Craig Wallace2
1Department of Management and Entrepreneurship.
Choosing the right response anchors for survey scales is crucial for accurate data analysis. This study provides empirical data to help researchers select equal-interval anchors, reducing measurement error and strengthening statistical results.
Area of Science:
- Organizational Research
- Psychometrics
- Survey Methodology
Background:
- Summated rating scales are widely used in organizational research, yet guidelines for selecting response anchors are less developed.
- Ensuring equal-interval properties in survey data is vital for parametric statistical analyses.
- Previous research has not sufficiently addressed the conceptual distance between response anchors.
Purpose of the Study:
- To identify common contexts and anchors used in summated rating scales.
- To provide empirical data on the conceptual distances between response anchors.
- To examine the impact of anchor properties on measurement and statistical outcomes.
Main Methods:
- Analysis of common contexts and anchors in summated rating scales.
- Empirical estimation of conceptual distances between response anchors.
- Experimental studies on the effects of equal-interval versus unequal-interval anchors on correlations.
Main Results:
- Common contexts include agreement, similarity, frequency, amount, and judgment.
- Provides means, standard deviations, and distribution overlaps for common anchors.
- Correlations are consistently weaker when using unequal-interval anchors compared to equal-interval anchors.
Conclusions:
- Empirical data on anchor properties can guide researchers in selecting scales that minimize measurement error.
- Using equal-interval anchors enhances confidence in statistical analyses and research findings.
- The choice of response anchors significantly impacts the strength of observed relationships between constructs.
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