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Tytuł pozycji:

Assessing the Validity of College Success Indicators for the At-Risk Student: Toward Developing a Best-Practice Model

Tytuł:
Assessing the Validity of College Success Indicators for the At-Risk Student: Toward Developing a Best-Practice Model
Autorzy:
Tucker, Leslie
McKnight, Oscar
Deskryptory:
Validity
Academic Achievement
College Students
At Risk Students
Best Practices
Models
Predictor Variables
School Holding Power
Grade Prediction
College Entrance Examinations
Grade Point Average
High School Students
Język:
English
Źródło:
Journal of College Student Retention: Research, Theory & Practice. Aug 2019 21(2):166-183.
Dostępność:
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: ; Web site: http://sagepub.com
Recenzowane naukowo:
Y
Page Count:
18
Data publikacji:
2019
Typ dokumentu:
Journal Articles
Reports - Research
Education Level:
Higher Education
Postsecondary Education
High Schools
Secondary Education
Assessment and Survey Identifiers:
ACT Assessment
DOI:
10.1177/1521025117696822
ISSN:
1521-0251
Abstractor:
As Provided
Data wpisu:
2019
Numer akcesji:
EJ1221133
Czasopismo naukowe
This study assessed the feasibility of using precollege success indicators to identify at-risk students at a large 4-year public research university in the Midwest. Retention data from students who participated in an established student success program were examined. The findings affirm that the initial admissions assessment identifying at-risk students is a feasible predictor of academic success, including high school (HS) grade point average (GPA) could predict student success over and above the variance accounted for by American College Test alone; the semester in which students are admitted is a predictor of success; first-semester college GPA can predict academic success over and above chance; there is a significant positive relationship between cognitive ability (i.e., American College Test × HS GPA) and SUCCESS; HS GPA could be used as the single best predictor of student success; and using all three variables to identify student success appears warranted. A PASS model is offered to assist in the development of interventions and success programs.

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