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Peer reviewedKurland, D. Midian; And Others – Journal of Educational Computing Research, 1986
A study of high school students learning computer programming was conducted to determine the impact of programming on particular mathematical and reasoning abilities, the cognitive skills or abilities that best predict programming ability, and what students actually understand about programming after two years of study. (MBR)
Descriptors: Abstract Reasoning, Analysis of Variance, Cognitive Tests, Literature Reviews
Peer reviewedWalberg, Herbert J.; And Others – Alberta Journal of Educational Research, 1984
Analysis of achievement test scores of 439 tenth-grade students found the hypothesized variables of IQ, socioeconomic status (SES), self-rated motivation, peer-rated studiousness, peer-group status, and parent-rated home environment contributed uniquely to achievement variance; SES, sex, and language medium of instruction were superfluous in the…
Descriptors: Academic Achievement, Family Environment, Foreign Countries, Grade 10
Peer reviewedWalberg, Herbert J.; Lane, John J. – Studies in Educational Evaluation, 1985
Factors which appear to affect learning are reviewed: student characteristics of age, ability, and motivation; amount and quality of instruction; home and classroom environment; peer influence; television; school and principal effects; and financial expenditures. (GDC)
Descriptors: Academic Achievement, Administrator Role, Aptitude Treatment Interaction, Elementary Secondary Education
Peer reviewedKeeves, John P. – International Journal of Educational Research, 1986
A causal model of a cycle of student performance is proposed. Two investigations were conducted in Australia, studying individuals and classrooms. Attitudes toward, and achievement in, mathematics and science were measured. The roles of attentiveness and teachers' use of time were also studied. (GDC)
Descriptors: Academic Achievement, Attention, Elementary Secondary Education, Foreign Countries
Peer reviewedKeeves, John P.; Larkin, Anthony I. – International Journal of Educational Research, 1986
Regression analyses examined the relationships among: time spent (periods and hours per week) studying science; time allocated for science homework; time used by teacher; and time not spent in learning. The performance cycle model of achievement, aspiration, and attitude was supported at the between classrooms level. (GDC)
Descriptors: Academic Achievement, Attention, Classroom Research, Elementary Secondary Education
Peer reviewedHarty, Harold; And Others – Journal of Research in Science Teaching, 1985
Investigated if relationships existed between middle school students (N=105) science concept structure interrelatedness competence and their time on task, science achievement, scholastic aptitude, previous experience with concept structure interrelatedness, attitudes toward science, interest in science, science curiosity, and self-concept of…
Descriptors: Academic Achievement, Affective Behavior, Cognitive Structures, Elementary School Science
Peer reviewedJordan, Thomas E. – Contemporary Educational Psychology, 1985
The cognitive development of a group of children who, at age six, were more than one standard deviation above the mean on a culture-fair measure is described. The relationship of influences at discrete time points which impinge on measures of mental attainment at elementary school entry is schematized. (DWH)
Descriptors: Academically Gifted, Cognitive Development, Cognitive Measurement, Early Childhood Education
Peer reviewedBaird, Leonard L. – Research in Higher Education, 1985
The relationship of measures of academic ability and grades with high level accomplishment was examined by reviewing a wide ranging literature, including studies of highly creative scientists and technicians, physicians, high- and middle-level managers, and high school and college students. Author/MLW)
Descriptors: Academic Ability, Academic Achievement, Achievement, Achievement Tests
Peer reviewedBell, Clayton, Jr. – Community College Review, 1984
Looks at various influences on junior college student persistence (i.e., grades, family background, peer relationships, counseling services, study habits, and employment). Reports on a study conducted at Richland College to descriptively analyze individual social, demographic, and economic factors; preenrollment factors; and institutional…
Descriptors: Academic Persistence, Dropout Characteristics, Dropouts, Enrollment Influences
Nathan, Mitchell J.; Bieda, Kristen N. – Wisconsin Center for Education Research (NJ1), 2006
This study investigates middle school mathematics students' views and interpretations of graphical representations as they use graphs to answer algebraic questions--specifically, questions that require them to extrapolate information from graphs. From data gathered in videotaped interviews, students' verbal responses were analyzed as well as any…
Descriptors: Graphs, Student Attitudes, Middle Schools, Mathematics Instruction
Research and Training Center on Family Support and Children's Mental Health, 2004
"Data Trends" reports present summaries of research on mental health services for children and adolescents and their families. The article summarized in this "Data Trends" presents findings from research examining the influence of collective socialization, concentration of disadvantage, and prevalence of crime on conduct…
Descriptors: Youth, Socialization, Social Networks, Prosocial Behavior
Budde, Stephen; Mayer, Susan; Zinn, Andrew; Lippold, Melissa; Avrushin, Adam; Bromberg, Ava; Goerge, Robert; Courtney, Mark – Chapin Hall Center for Children, 2004
In this multi-faceted exploratory study, administrative data were used to examine trends in residential care utilization by the Illinois Department of Children and Family Services (DCFS) and youth outcomes from 1993 to 2003. Multivariate analyses were conducted to determine the factors associated with entry to residential care and…
Descriptors: Residential Care, Placement, Youth, Foster Care
National Inst. of Mental Health (DHHS), Bethesda, MD. – 2000
This publication, written in English, explains why women are at greater risk for depression than men. Types of depressive illnesses are explained along with the symptoms. It states that some women are predisposed genetically to depression but biochemical, environmental, psychological, and social factors also contribute to its occurrence.…
Descriptors: At Risk Persons, Biological Influences, Depression (Psychology), Developmental Stages
Geffner, Robert, Ed. – 1996
These two Bulletins contain selected articles that highlight research and treatment issues in child abuse and child sexual abuse. The first issue includes the following featured articles: (1) "The Relationships between Animal Abuse and Other Forms of Family Violence" (Phil Arkow), which addresses animal cruelty as a harbinger of…
Descriptors: Animals, Child Abuse, Family Violence, Interdisciplinary Approach
Davis, Betsy; Caros, Jennifer; Grossen, Bonnie; Carnine, Douglas – 2002
The purpose of this study was to take an initial step toward developing sound and versatile predictive instruments (i.e., benchmark measures) in reading, writing, and math that can be used to assess high-school students' academic performance in a manner that will not only predict scores on high-stakes tests but will also be amenable to repeat…
Descriptors: Academic Ability, Accountability, Benchmarking, Disabilities

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