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ERIC Number: EJ1064641
Record Type: Journal
Publication Date: 2013-Apr
Pages: 21
Abstractor: As Provided
Reference Count: 8
ISSN: EISSN-1941-3432
Using Logistic Regression for Validating or Invalidating Initial Statewide Cut-Off Scores on Basic Skills Placement Tests at the Community College Level
Secolsky, Charles; Krishnan, Sathasivam; Judd, Thomas P.
Research in Higher Education Journal, v19 Apr 2013
The community colleges in the state of New Jersey went through a process of establishing statewide cut-off scores for English and mathematics placement tests. The colleges wanted to communicate to secondary schools a consistent preparation that would be necessary for enrolling in Freshman Composition and College Algebra at the community college level. Statewide cut-off scores also allow for equity and transferability among colleges on decisions to place students out of developmental coursework in English and mathematics. Logistic regression analysis was used to produce expected probabilities of attaining a grade of C or better in the courses for given test scores. Expected probabilities were converted into statistical tests for determining the predictive accuracy of placement cut-off scores for three tests: essay, mathematics computation, and elementary algebra. Prior to the conduct of this research, passing scores were set by committees with no established standard setting method. These passing scores are evaluated here with logistic regression so that a more established standard setting methodology could be recommended to community college officials for future use.
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: Two Year Colleges; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: New Jersey