Psychological Distance Between Categories in the Likert Scale

This study examined whether the number of options in the Likert scale influences the psychological distance between categories. The most important assumption when using the Likert scale is that the psychological distance between options is equal. The authors proposed a new algorithm for calculating the scale values of options by applying item response theory and the ideas of Wakita to reveal the influence of the number of categories. Three types of questionnaires that were composed of the same items, but used different numbers of options to assess these items (specifically, 4-, 5-, and 7-point scales), were completed by 722 undergraduate students. The results indicated that the number of options influenced the psychological distance between options, particularly for the 7-point scale. This influence was revealed only by the authors’ algorithm; descriptive statistics and coefficients of reliability did not show that the number of options had a prominent influence. The importance of the number of options and the new algorithm are discussed.

[1]  S. Wada Construction of the Big Five Scales of personality trait terms and concurrent validity with NPI. , 1996 .

[2]  Howard G. Schutz,et al.  A Comparison of Variable Configurations Across Scale Lengths: An Empirical Study' , 1975 .

[3]  J. Jacoby,et al.  Is There an Optimal Number of Alternatives for Likert Scale Items? Study I: Reliability and Validity , 1971 .

[4]  Peter Tyrer,et al.  The Effect of Number of Rating Scale Categories on Levels of Interrater Reliability : A Monte Carlo Investigation , 1985 .

[5]  S. Komorita,et al.  ATTITUDE CONTENT, INTENSITY, AND THE NEUTRAL POINT ON A LIKERT SCALE. , 1963, The Journal of social psychology.

[6]  Lei Chang A Psychometric Evaluation of 4-Point and 6-Point Likert-Type Scales in Relation to Reliability and Validity , 1994 .

[7]  A. Colman,et al.  Optimal number of response categories in rating scales: reliability, validity, discriminating power, and respondent preferences. , 2000, Acta psychologica.

[8]  T. R. F. Oaster,et al.  Number of Alternatives per Choice Point and Stability of Likert-Type Scales , 1989 .

[9]  R. Lissitz,et al.  Effect of the number of scale points on reliability: A Monte Carlo approach. , 1975 .

[10]  Paul E. Green,et al.  Rating Scales and Information Recovery—How Many Scales and Response Categories to Use? , 1970 .

[11]  W. R. Garner,et al.  Rating scales, discriminability, and information transmission. , 1960, Psychological review.

[12]  Robert E. Widing,et al.  Customer evaluation of retail salespeople utilizing the SOCO scale: A replication, extension, and application , 1991 .

[13]  E. Muraki A GENERALIZED PARTIAL CREDIT MODEL: APPLICATION OF AN EM ALGORITHM , 1992 .

[14]  A. W. Bendig Reliability and the number of rating-scale categories. , 1954 .

[15]  A. W. Bendig The reliability of self-ratings as a function of the amount of verbal anchoring and of the number of categories on the scale. , 1953 .