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Direct linkNamkung, Jessica M.; Fuchs, Lynn S. – Journal of Educational Psychology, 2016
The purpose of this study was to examine the cognitive predictors of calculations and number line estimation with whole numbers and fractions. At-risk 4th-grade students (N = 139) were assessed on 6 domain-general abilities (i.e., working memory, processing speed, concept formation, language, attentive behavior, and nonverbal reasoning) and…
Descriptors: Predictor Variables, Numbers, Mathematics, Grade 4
Peklaj, Cirila; Podlesek, Anja; Pecjak, Sonja – European Journal of Psychology of Education, 2015
The aim of the study was to examine the relationships between gender, previous knowledge, different personality traits, subject-specific motivational dimensions and students' math grade in secondary school. A total of 386 first-year students (142 boys and 244 girls) from secondary schools in Slovenia (mean age was 15.7 years) participated in the…
Descriptors: Gender Differences, Prior Learning, Personality Traits, Student Motivation
Powell, Sarah R.; Cirino, Paul T.; Malone, Amelia S. – Exceptional Children, 2017
We identified child-level predictors of responsiveness to 2 types of mathematics intervention (calculation and word problem) among second-grade children with mathematics difficulty. Participants were 250 children in 107 classrooms in 23 schools pretested on mathematics and general cognitive measures and posttested on mathematics measures. We…
Descriptors: Intervention, Evidence Based Practice, Mathematics Instruction, Predictor Variables
Salley, Brenda; Panneton, Robin K.; Colombo, John – Infancy, 2013
The aim of this study was to examine the combined influences of infants' attention and use of social cues in the prediction of their language outcomes. This longitudinal study measured infants' visual attention on a distractibility task (11 months), joint attention (14 months), and language outcomes (word-object association, 14 months; MBCDI…
Descriptors: Attention, Predictor Variables, Infants, Cues
Hebert-Myers, Heather; Guttentag, Cathy L.; Swank, Paul R.; Smith, Karen E.; Landry, Susan H. – Applied Developmental Science, 2006
This study examined the role of language, attention/impulse control, and mother-child play in predicting later peer competence by assessing 252 children at ages 3 and 8 years. Children born term (n = 90) or preterm (n = 162) were included to examine the question of how variability in skills influenced social outcomes and whether relations were…
Descriptors: Children, Self Control, Language Skills, Interpersonal Competence
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 reviewedKeeves, John P. – International Journal of Educational Research, 1986
Five statistical techniques were used to analyze the data collected in a previous article (TM 511 223) on student achievement, attention, and motivation in secondary school mathematics and science: ordinary least squares regression, canonical correlation, factorial modeling, partial least squares path analysis, and linear structural relations…
Descriptors: Academic Achievement, Attention, Elementary Secondary Education, Factor Analysis
