CTTITEM: SAS macro and SPSS syntax for classical item analysis

Pui Wa Lei, Qiong Wu

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

This article describes the functions of a SAS macro and an SPSS syntax that produce common statistics for conventional item analysis including Cronbach's alpha, item difficulty index (p-value or item mean), and item discrimination indices (D-index, point biserial and biserial correlations for dichotomous items and item-total correlation for polytomous items). These programs represent an improvement over the existing SAS and SPSS item analysis routines in terms of completeness and user-friendliness. To promote routine evaluations of item qualities in instrument development of any scale, the programs are available at no charge for interested users. The program codes along with a brief user's manual that contains instructions and examples are downloadable from suen.ed.psu.edu/~pwlei/plei.htm.

Original languageEnglish (US)
Pages (from-to)527-530
Number of pages4
JournalBehavior research methods
Volume39
Issue number3
DOIs
StatePublished - Aug 2007

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Psychology (miscellaneous)
  • Psychology(all)

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