1990
DOI: 10.1177/0013164490504010
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A Program to Select the Best Items that Maximize Cronbach's Alpha

Abstract: A FORTRAN program is described that provides for a search for the maximum alpha coefficient through the incorporation of two common methods employed for item analysis along with priority information into a stepwise selection procedure.

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Cited by 7 publications
(4 citation statements)
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“…Resources for developing and validating new scales abound (e.g., Anastasi, 1988;Clark & Watson, 1995;Murphy & Davidshofer, 1998), but guidelines for reducing the length of already-existing scales are relatively scarce. Although computer programs have been developed to maximize alpha coefficients among subsets of items for this task (e.g., Flebus, 1990; Thompson, 1990), Stanton and colleagues (2002) pointed out that reducedlength scales must also preserve the known validity relations of the original scale. In other words, strategies based solely on maximizing internal consistency can result in an unnecessarily narrow measurement of constructs.…”
Section: Overview Of the Combinatorial Approach To Scale Reductionmentioning
confidence: 99%
“…Resources for developing and validating new scales abound (e.g., Anastasi, 1988;Clark & Watson, 1995;Murphy & Davidshofer, 1998), but guidelines for reducing the length of already-existing scales are relatively scarce. Although computer programs have been developed to maximize alpha coefficients among subsets of items for this task (e.g., Flebus, 1990; Thompson, 1990), Stanton and colleagues (2002) pointed out that reducedlength scales must also preserve the known validity relations of the original scale. In other words, strategies based solely on maximizing internal consistency can result in an unnecessarily narrow measurement of constructs.…”
Section: Overview Of the Combinatorial Approach To Scale Reductionmentioning
confidence: 99%
“…Thompson (1990) developed a program that used the reverse approach: the selective deletion of items to maximize alpha. Flebus (1990) used an iterative search algorithm to locate the subtest with the maximum alpha.…”
mentioning
confidence: 99%
“…A different branch of psychometric optimization is the selection of items in Computerized Adaptive Testing (e.g., Wiberg, 2003 ), maximizing Cronbach’s alpha ( Flebus, 1990 ; Thompson, 1990 ), or creating test forms (e.g., Raborn et al, 2020 ). In these studies there is a constraint on the test length or the error variance.…”
Section: Previous Optimization Approachesmentioning
confidence: 99%