The Effects of Nonnormality and Number of Response Categories on Reliability

Deborah L. Bandalos, Craig K. Enders

Research output: Contribution to journalArticle

37 Citations (Scopus)

Abstract

A computer simulation was designed to determine whether increases in reliability would be obtained for situations in which an observed categorical distribution, such as that for a Likert scale, was deliberately constructed to match the shape of the underlying distribution of the trait being measured. Results indicated that reliability did increase with the degree of similarity between the underlying and observed distributions. Reliability also increased with the level of correlation among the variables and with the number of scale points. However, maximum gains were reached with 5 or 7 scale points, after which reliability values leveled off.

Original languageEnglish (US)
Pages (from-to)151-160
Number of pages10
JournalApplied Measurement in Education
Volume9
Issue number2
StatePublished - 1996
Externally publishedYes

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Reproducibility of Results
Computer Simulation
computer simulation
Values

ASJC Scopus subject areas

  • Psychology (miscellaneous)
  • Developmental and Educational Psychology
  • Education

Cite this

The Effects of Nonnormality and Number of Response Categories on Reliability. / Bandalos, Deborah L.; Enders, Craig K.

In: Applied Measurement in Education, Vol. 9, No. 2, 1996, p. 151-160.

Research output: Contribution to journalArticle

Bandalos, Deborah L. ; Enders, Craig K. / The Effects of Nonnormality and Number of Response Categories on Reliability. In: Applied Measurement in Education. 1996 ; Vol. 9, No. 2. pp. 151-160.
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