Effect of the Number of Response Categories on the Reliability and Validity of Rating Scales

By Luis M. Lozano, E. García-Cueto, José Muñiz. 2008

807 citations recorded by the source corpus.

The Likert-type format is one of the most widely used in all types of scales in the field of social sciences. Nevertheless, there is no definitive agreement on the number of response categories that optimizes the psychometric properties of the scales. The aim of the present work is to determine in a systematic fashion the number of response alternatives that maximizes the fundamental psychometric properties of a scale: reliability and validity. The study is carried out with data simulated using the Monte Carlo method. We simulate responses to 30 items with correlations between them ranging from 0.2 to 0.9. We also manipulate sample size, analyzing four different sizes: 50, 100, 200, and 500 cases. The number of response options employed ranges from two to nine. The results show that as the number of response alternatives increases, both reliability and validity improve. The optimum number of alternatives is between four and seven. With fewer than four alternatives the reliability and validity decrease, an...

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/99aaaaef914e8ae9497a055b7672397bea748440

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

  1. Chen-Yi Peng
  2. Insu Paek
  3. Kuen‐Hung Tsai
  4. Jihyun Lee
  5. Hui-Chen Chang

Citations in the corpus