Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 15 |
| Since 2007 (last 20 years) | 88 |
Descriptor
Source
Author
| Breland, Hunter M. | 3 |
| Abdous, M'hammed | 2 |
| Blai, Boris, Jr. | 2 |
| Borich, Gary D. | 2 |
| Brown, Chris | 2 |
| Goldhaber, Dan | 2 |
| Greene, John F. | 2 |
| Harris, Randolph K. | 2 |
| Haupt, Edward J. | 2 |
| Huberty, Carl J. | 2 |
| Huckell, Raymond K., Jr. | 2 |
| More ▼ | |
Publication Type
Education Level
Location
| Canada | 5 |
| Australia | 4 |
| Pennsylvania | 4 |
| Texas | 4 |
| North Carolina | 3 |
| United States | 3 |
| Washington | 3 |
| Iran | 2 |
| Italy | 2 |
| Malaysia | 2 |
| United Kingdom (England) | 2 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 4 |
Assessments and Surveys
What Works Clearinghouse Rating
Keating, Daniel P. – 1973
The prediction of creativity is an intricate and difficult problem for which there is no currently accepted method of solution. At least two conceptually discernable types of creativity are identifiable in research on the topic. The first type conceives creativity to be a trait which is distributed across the population in a fashion analogous to…
Descriptors: Academic Achievement, Academically Gifted, Correlation, Creativity
Gastright, Joseph F. – 1974
An investigation was undertaken of the intercorrelations among residuals obtained by applying regression techniques under two conditions: (1) mean sixth-grade Metropolitan Achievement Test reading scores predicted by mean second-grade Stanford Achievement Test reading scores, and (2) mean sixth-grade reading scores predicted by mean second-grade…
Descriptors: Achievement Tests, Correlation, Elementary School Students, Longitudinal Studies
Hilton, Thomas L. – 1972
Five possible interpretations are given of very high correlations between scores on successively administered ability tests in a longitudinal sample of approximately 7,000 public school students tested in grades 5, 7, 9, and 11. At each of the four grades, students were given the appropriate level of the Sequential Test of Education Progress…
Descriptors: Academic Achievement, Achievement Tests, Correlation, Elementary School Students
Peer reviewedCarpenter, Dale; Carpenter, Sue – Educational and Psychological Measurement, 1978
The Larsen-Hammill Test of Written Spelling scores were correlated with scores received on the California Achievement Test (CAT) for 45 fourth-grade pupils. Spelling scores were moderately predictive of reading, mathematics, language, and spelling subtests on the CAT. (Author/JKS)
Descriptors: Academic Achievement, Achievement Tests, Correlation, Elementary School Mathematics
Peer reviewedDarakjian, Gregory P.; And Others – Educational and Psychological Measurement, 1985
In a longitudinal investigation, the subscales of the Dimensions of Self-Concept revealed declining predictive validity coefficients relative to criteria of secondary school grades. However, the Level of Aspiration subscale consistently exhibited significant predictive validities of student success during each of four time segments. (Author/DWH)
Descriptors: Academic Achievement, Academic Aspiration, Correlation, Grades (Scholastic)
Peer reviewedSimons, Marc R.; Goh, David S. – Perceptual and Motor Skills, 1982
Correlations between McCarthy Scales of Children's Abilities and teachers' ratings of academic achievement were investigated. McCarthy Scales are useful in predicting achievement of normal children, but further research is needed with learning disabled students. Use of teachers' rating scales with low functioning children is discussed in light of…
Descriptors: Academic Achievement, Correlation, Elementary School Teachers, Intelligence Differences
Behl, Diane D.; Akers, James F. – Diagnostique, 1996
As part of a larger longitudinal study, scores of 239 children (ages 1 to 4) with disabilities on the Battelle Developmental Inventory (BDI) were compared with scores on the Woodcock-Johnson Test of Achievement (Revised) 1 to 3 years later. The BDI scores from children at or above age 2 predicted later achievement scores (mean correlation .74).…
Descriptors: Academic Achievement, Child Development, Correlation, Developmental Delays
Peer reviewedSmith, Richard L.; And Others – Educational and Psychological Measurement, 1992
Different approaches to defining suppression in multiple regression/correlation are compared, and their differences are illustrated. A test for determining the significance of a suppressor effect, which is based on the definition of suppression of W. F. Velicer, is extended to the general multiple predictor case and analysis of variance. (SLD)
Descriptors: Analysis of Variance, Comparative Analysis, Correlation, Definitions
Harris, Douglas N.; Sass, Tim R. – National Center for Analysis of Longitudinal Data in Education Research, 2009
Mounting pressure in the policy arena to improve teacher productivity either by improving signals that predict teacher performance or through creating incentive contracts based on performance--has spurred two related questions: Are there important determinants of teacher productivity that are not captured by teacher credentials but that can be…
Descriptors: Credentials, Teacher Effectiveness, Teaching Skills, Principals
San Diego Community Coll. District, CA. Research and Planning. – 1983
A project was undertaken in the San Diego Community College District to develop a consistent districtwide placement testing program using the same test instruments and uniform cut-off scores for placement in English and mathematics courses. As part of the project, a study was conducted to correlate English placement test scores and grades for all…
Descriptors: College Entrance Examinations, Community Colleges, Correlation, Grades (Scholastic)
Peer reviewedRader, Billie Thomas – Journal of Industrial Teacher Education, 1975
Although a complex process, canonical correlation has numerous potential advantages over other predictive techniques, the most important being that canonical correlation predicts several criterion variables simultaneously. The paper shows how the method can be used for industrial and vocational-technical education data. (Author)
Descriptors: Correlation, Educational Research, Industrial Education, Multivariate Analysis
Harvancik, Mark J.; Golsan,Gordon – 1986
The scores from the Graduate Record Examination (GRE) have been used by graduate admissions committees in selecting graduate candidates. A study was undertaken to examine the predictive validity of the GRE in conjunction with measures of achievement. Records of 619 Masters Degree graduates at a small southwestern college were obtained, including…
Descriptors: Academic Achievement, Admission Criteria, College Entrance Examinations, Correlation
Wilson, Barry; Hewett, Gilbert – 1981
The Cognitive Abilities Test (CAT) provides separate ability estimates organized into three components; verbal, quantitative and non-verbal. There is no composite score. An analysis of scores obtained on the CAT and the Iowa Tests of Basic Skills (ITBS) by a sample student population indicated that discrepancies of twenty points or more among the…
Descriptors: Academic Ability, Academic Achievement, Academic Aptitude, Achievement Tests
Wilson, Barry; And Others – 1977
The Brain Wave Analyzer (BWA Ertl 02) was used to measure the brain potentials of 110 public school children. Resulting scores were correlated with concurrent measures of school achievement. Results indicate that certain brain wave scores have relatively low correlations with school achievement compared to traditional intelligence measures but may…
Descriptors: Academic Achievement, Achievement Tests, Brain, Correlation
Hollmann, Thomas D. – 1973
The evidence used in condemning a test as racially biased is usually a validity coefficient for one racial group that is significantly different from that of another racial group. However, both variables in the calculation of a validity coefficient should be examined to determine where the bias lies. A study was conducted to investigate the…
Descriptors: Correlation, Evaluation Criteria, Performance Criteria, Predictive Measurement


