Descriptor
| Models | 3 |
| Predictive Validity | 3 |
| Academic Achievement | 2 |
| Higher Education | 2 |
| Academic Advising | 1 |
| Analysis of Variance | 1 |
| College Freshmen | 1 |
| Computer Science Education | 1 |
| Conceptual Schemes | 1 |
| Correlation | 1 |
| Costs | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Guides - Non-Classroom | 1 |
| Reports - Research | 1 |
Education Level
Audience
| Practitioners | 3 |
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedGeorge, William C. – Journal of Special Education, 1979
Using the empirically based evidence that has resulted from the previous five Talent Searches of the Study of Mathematically Precocious Youth, the article develops the rationale and success behind the talent-search concept as a useful strategy for identifying the intellectually gifted. (Author)
Descriptors: Academic Achievement, Conceptual Schemes, Costs, Evaluation Methods
Peer reviewedTerenzini, Patrick T.; Pascarella, Ernest T. – American Educational Research Journal, 1977
The validity of the constructs underlying the Clark-Trow Typology of College Student Subcultures--academic interests and non-academic interests--are confirmed. However, there are indications that the involvement with ideas dimension does not discriminate satisfactorily among the four student groups. (Author/MV)
Descriptors: College Freshmen, Extracurricular Activities, Higher Education, Individual Differences
Peer reviewedOman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
