1992
DOI: 10.1080/08832323.1992.10117556
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Predicting Student Performance in Accounting Classes

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Cited by 24 publications
(2 citation statements)
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“…We selected variables to be included in the discriminant model by using the stepwise method and employing minimization of Wilks's lambda as the criteria. Discriminant analysis is a well-accepted method of analysis and has been used to classify students into achievement groups (Dockweiler & Willis, 1984;Eckel & Johnson, 1983), to model admission procedures (Clark & Sweeney, 1985), and to predict future success in a specific field of study (Biermann & Sarinsky, 1987;Danko, Duke, & Franz, 1 992).…”
Section: Anabsismentioning
confidence: 99%
“…We selected variables to be included in the discriminant model by using the stepwise method and employing minimization of Wilks's lambda as the criteria. Discriminant analysis is a well-accepted method of analysis and has been used to classify students into achievement groups (Dockweiler & Willis, 1984;Eckel & Johnson, 1983), to model admission procedures (Clark & Sweeney, 1985), and to predict future success in a specific field of study (Biermann & Sarinsky, 1987;Danko, Duke, & Franz, 1 992).…”
Section: Anabsismentioning
confidence: 99%
“…Methods to filter students with low ability, low incoming knowledge, or both, have included pretesting for prerequisite knowledge, requiring a one-credit course on the accounting cycle, or requiring a certain grade point average to enroll (Hicks and Richardson 1984;Danko-McGhee and Duke 1992;Huang et al 2005;Sanders and Willis 2009). In information technology (Rondeau and Li 2009) and math (Bashford 2000), a pretest was more effective than a pre-course.…”
Section: Filtering Out Less Prepared Studentsmentioning
confidence: 99%