Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 5 |
Descriptor
Author
| Koon, Sharon | 2 |
| Petscher, Yaacov | 2 |
| Adam C. Elder | 1 |
| Cervato, Cinzia | 1 |
| Edgar I. Sanchez | 1 |
| Genschel, Ulrike | 1 |
| Ogilvie, Craig A. | 1 |
| Sage, Andrew J. | 1 |
Publication Type
| Reports - Research | 3 |
| Dissertations/Theses -… | 1 |
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 5 |
| Postsecondary Education | 5 |
| High Schools | 3 |
| Secondary Education | 3 |
| Grade 10 | 2 |
| Grade 9 | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
Audience
Location
| Florida | 2 |
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 5 |
| National Merit Scholarship… | 2 |
| Preliminary Scholastic… | 2 |
| ACT Interest Inventory | 1 |
What Works Clearinghouse Rating
Edgar I. Sanchez – ACT Education Corp., 2024
Prior research has shown the importance of the ACT score and high school GPA (HSGPA) in predicting college success. Early college success, as indicated by students' first-year college GPA (FYGPA), plays a pivotal role in later college success and timely degree completion (Demeter et al., 2022; Gershenfeld et al., 2016). The accurate prediction of…
Descriptors: College Freshmen, Grade Point Average, Scores, Predictor Variables
Sage, Andrew J.; Cervato, Cinzia; Genschel, Ulrike; Ogilvie, Craig A. – Journal of College Student Retention: Research, Theory & Practice, 2021
Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…
Descriptors: Majors (Students), Identification, Student Satisfaction, At Risk Students
Adam C. Elder – ProQuest LLC, 2017
The purpose of this study was to use a comprehensive framework to examine academic, psychosocial, noncognitive, and other background factors that are related to retention at a large, public four-year institution in the southeastern United States. Specifically, the study examined what factors are most important in predicting first-to-second year…
Descriptors: Predictor Variables, College Students, Academic Persistence, Models
Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
During the 2013/14 school year two Florida school districts sought to develop an early warning system to identify students at risk of low performance on college readiness measures in grade 11 or 12 (such as the SAT or ACT) in order to support them with remedial coursework prior to high school graduation. The study presented in this report provides…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness
Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
This study examines whether scores from an interim reading assessment in grade 9, the Florida Assessments for Instruction in Reading--Florida Standards, can be used to identify students who may score below the college readiness benchmark on the Preliminary SAT/National Merit Scholarship Qualifying Test and ACT Plan in grade 10. Using scores on an…
Descriptors: Reading Tests, Scores, Predictor Variables, College Readiness

Peer reviewed
Direct link
