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Freeberg, Norman E.; And Others – 1989
An initial study of the revised (1985) Student Descriptive Questionnaire (SDQ) of the College Board found it to be of sufficient accuracy to fulfill its intended purposes. This second phase examined the adequacy of the SDQ in terms of the predictive validity of its student academic self-report information against a criterion of first-year college…
Descriptors: Academic Achievement, Class Rank, College Freshmen, Grade Point Average
Who Reports Participation in Varsity Intercollegiate Sports at 4-Year Colleges? Statistics in Brief.
Owings, Jeffrey; And Others – 1996
This study examined participation in high school and intercollegiate varsity athletics by following a cohort of 8th-graders through high school and the first 2 years of college. Data from the National Education Longitudinal Study of 1988 were used to track all 1988 8th-graders through 2 years after scheduled high school graduation, all 1988…
Descriptors: Academic Standards, Athletics, College Athletics, Grade 8
Chastain, Robert L.; Joe, George W. – 1985
This study attempts to integrate and extend previous research by multivariate investigation to determine multidimensional relationships among both the Wechsler Adult Intelligence Scale-Revised (WAIS-R) subscales and the demographic variables for the 1981 WAIS-R standardization sample. Canonical correlation with orthogonal rotation of composite…
Descriptors: Adults, Age Differences, Blacks, Cognitive Measurement
Marsh, Jeffrey Flake; Anderson, Norman D. – 1985
The mathematical skills possessed by students taking introductory biology courses were investigated. A list of 23 mathematical competencies was identified as part of the development of a 46-item multiple-choice test to measure the extent to which students possessed these competencies. The Biomathematics Skills Test (BST) was administered to…
Descriptors: Academic Achievement, Biology, College Science, College Students
Spencer, Edwin C. – 1977
The Norfolk, Virginia, city school system had the highest secondary school dropout rate in the State for the 1975-76 academic year. In the study discussed in this paper student dropouts are described from data in their academic files. The wish is expressed that by characterizing dropout prone students, something can be done to save them before…
Descriptors: Academic Achievement, Age, Agency Role, Dropout Characteristics
Hunt, Dennis; Randhawa, Bikkar S. – 1979
The Children's Personality Questionnaire (CPQ) was administered to 23 academically handicapped children (mean IQ, 79) and 35 academically gifted students (mean IQ, 147). The CPQ measures 14 distinct personality factors; data on these variables were analyzed using a 2 x 2 (academic ability x sex) analysis of variance design. A stepwise discriminant…
Descriptors: Academic Ability, Academically Gifted, Academically Handicapped, Factor Structure
Peer reviewedBaker, Paul M. – Small Group Behavior, 1988
Studied effects of factors on group discussion participation, observing 218 subjects in four-, five-, or six-person mock juries discussing mandatory retirement case. Visibility and size were main predictors of who spoke first; first-to-speak, age, and sex were predictors of participation in first minute. Total participation was affected by age,…
Descriptors: Age Differences, College Students, Foreign Countries, Group Discussion
Peer reviewedWilliams, Jean M.; White, Kathleen A. – Adolescence, 1983
Compared attitudes of junior high (N=894), high school (N=999), and college (N=846) students who responded to a questionnaire concerning high school status. Results confirmed that athletics remain the primary determinant for high school status among males. The influence of age and previous participation in athletics was examined. (JAC)
Descriptors: Age Differences, Athletics, College Students, High School Students
Caplan, Linda Gallucci – Journal of Student Financial Aid, 1980
The impact of student input characteristics and college environments on types and amounts of financial aid received by men and women are studied. A demographic description of federal student financial aid recipients can be valuable to policy makers in evaluating the degree of success in providing aid to target populations. (MLW)
Descriptors: College Attendance, Differences, Family Income, Federal Programs
Peer reviewedMayes, Susan Dickerson; Calhoun, Susan L. – Autism: The International Journal of Research and Practice, 2003
Psychological data were analyzed for 164 individuals (ages 3-15) with autism (IQs 14-143). Verbal IQ lagged behind nonverbal during the preschool years, but by school age the gap had closed. For school-age children with low IQs, math, spelling, and writing scores were consistent with IQ and reading was above IQ. (Contains references.) (Author/CR)
Descriptors: Age Differences, Autism, Early Childhood Education, Elementary Secondary Education
Peer reviewedMackowiak, Kate – Journal of Educational Technology Systems, 1989
Describes study that investigated the impact of individual differences on deaf college students' attitudes toward computers at Gallaudet University. The impact of age, gender, computer experience, and major are examined, and results indicate a strong correlation between computer experience level and attitudes. (22 references) (Author/LRW)
Descriptors: Age Differences, Analysis of Variance, Computer Literacy, Correlation
Peer reviewedPedrini, Bonnie C.; Pedrini, D. T. – Psychology: A Journal of Human Behavior, 1988
Studied American College Test (ACT) scores, sex, race, financial aid, and attrition/persistence as predictors of grades for college freshmen (N=208). Found for grade average predictions with attrition/persistence excluded, ACT or race was the first variable. Other stepwise predictors were generally not viable. (Author/ABL)
Descriptors: College Freshmen, Disadvantaged Youth, Economically Disadvantaged, Grade Point Average
Peer reviewedPianta, Robert C.; Lothman, Deborah J. – Child Development, 1994
Examined the relative role of parent-child relationships, family stress, and disease factors in predicting behavior problems in children with epilepsy. Found that children's self-reliance correlated with parent-reported behavior problems, whereas expression of affect related to teacher-reported problems. Overall, parent-child relationship factors…
Descriptors: Affective Behavior, Age Differences, Behavior Problems, Children
Peer reviewedBendersky, Margaret; Lewis, Michael – Developmental Psychology, 1994
Examined the impact of 2 environmental factors--social class and family risk levels--and 2 biological factors--intraventricular hemorrhage (IVH) and medical risk--on the cognitive and motor development of 175 preterm infants. Family risk, early medical risk, and the interaction of family risk and IVH were found to be significant predictors of…
Descriptors: Age Differences, At Risk Persons, Biological Influences, Cognitive Development
Peer reviewedMarchant, Maurice P. – Public Libraries, 1991
Describes a study that was conducted in Provo, Utah, to identify motivators as factors in adult use of libraries. Four major areas were used to examine motivation: home and family life, vocational growth, religion, and politics. Six user characteristics were also studied, and implications for public libraries are suggested. (nine references) (LRW)
Descriptors: Age Differences, Career Development, Family Life, Library Services


