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Compton, Donald L.; Pearson, P. David – Journal of Research on Educational Effectiveness, 2016
This special issue of "JREE" ["Journal of Research on Educational Effectiveness"] features studies from three of the teams (Barnes, Stuebing, Fletcher, Barth, & Francis; Language and Reading Research Consortium, Arthur, & Davis; LaRusso et al.) supported by the Institute of Education Sciences--Reading for Understanding…
Descriptors: Reading Comprehension, Predictor Variables, Evidence Based Practice, Reader Text Relationship
Leatham, Keith R. – School Science and Mathematics, 2012
This paper discusses one step from the scientific method--that of identifying independent and dependent variables--from both scientific and mathematical perspectives. It begins by analyzing an episode from a middle school mathematics classroom that illustrates the need for students and teachers alike to develop a robust understanding of…
Descriptors: Misconceptions, Mathematics Education, Scientific Methodology, Textbooks
Caplan, Bryan; Miller, Stephen C. – Intelligence, 2010
Education is by far the strongest predictor of whether a non-economist will share the economic beliefs of the average economist. (Caplan, 2001) Is the effect of education as large as it seems? Or is education largely a proxy for cognitive ability? Using data from the General Social Survey (GSS), we show that the estimated effect of education…
Descriptors: Intelligence, Educational Attainment, Cognitive Ability, Economics
Cokluk, Omay – Educational Sciences: Theory and Practice, 2010
The main focus of logistic regression analysis is classification of individuals in different groups. The aim of the present study is to explain basic concepts and processes of binary logistic regression analysis intended to determine the combination of independent variables which best explain the membership in certain groups called dichotomous…
Descriptors: Regression (Statistics), Classification, Predictor Variables, Measures (Individuals)
Cann, Arnie; Calhoun, Lawrence G.; Tedeschi, Richard G.; Solomon, David T. – Journal of Loss and Trauma, 2010
Positive changes (posttraumatic growth [PTG]) and negative changes (posttraumatic depreciation [PTD]) were assessed using the PTGI-42 with persons reporting changes from a stressful event. PTG and PTD were uncorrelated, and PTG was much greater than PTD. PTG was positively related to disruption of core beliefs and recent deliberate rumination and…
Descriptors: Quality of Life, Stress Variables, Correlation, Beliefs
Hui, Tie Hui; Umar, Irfan Naufal – Turkish Online Journal of Educational Technology - TOJET, 2011
This study aims to investigate the effects of metaphors and pairing activity on programming performance of students with different self-regulated-learning (SRL) level. A total of 84 computing students were involved in this seven-week study, and they were randomly assigned either to a group that received a combination of metaphor and pair…
Descriptors: Foreign Countries, Discussion, Figurative Language, Teaching Methods
Ismail, Mohd Nasir; Ngah, Nor Azilah; Umar, Irfan Naufal – Journal of Educational Computing Research, 2010
The purpose of the study is to investigate the effects of mind mapping with cooperative learning (MMCL) and cooperative learning (CL) on: (a) programming performance; (b) problem solving skill; and (c) metacognitive knowledge among computer science students in Malaysia. The moderating variable is the students' logical thinking level with two…
Descriptors: Thinking Skills, Hypothesis Testing, Control Groups, Cooperative Learning
Ginsburg, Golda S.; Silva, Susan G.; Jacobs, Rachel H.; Tonev, Simon; Hoyle, Rick H.; Kingery, Julie Newman; Reinecke, Mark A.; Curry, John F.; March, John S. – Journal of Clinical Child and Adolescent Psychology, 2009
The factor structure of several self-report questionnaires assessing depression-relevant cognitions frequently employed in clinical research was examined in a sample of 390 adolescents (M age = 14.54; 216 girls; 74% Caucasian) with current major depressive disorder enrolled in the Treatment of Adolescents with Depression Study. A four-factor…
Descriptors: Factor Structure, Adolescents, Depression (Psychology), Questionnaires
Takahashi, Fumito; Koseki, Shunsuke; Shimada, Hironori – Journal of Applied Developmental Psychology, 2009
The purposes of this study were to clarify how social problem-solving processes develop and to identify developmentally-sensitive intervention components for children's aggression. Elementary and junior-high school Japanese students (N = 1100) from urban public schools participated in the present investigation. Their alternative thinking skills,…
Descriptors: Social Behavior, Aggression, Problem Solving, Evaluative Thinking
Macpherson, Robyn; Stanovich, Keith E. – Learning and Individual Differences, 2007
This study examined the predictors of belief bias in a formal reasoning paradigm (a syllogistic reasoning task) and myside bias in two informal reasoning paradigms (an argument generation task and an experiment evaluation task). Neither cognitive ability nor thinking dispositions predicted myside bias, but both cognitive ability and thinking…
Descriptors: Thinking Skills, Cognitive Ability, Logical Thinking, Models
Leininger, Lindsey Jeanne; Kalil, Ariel – Journal of Policy Analysis and Management, 2008
Using data on approximately 2,000 low-income welfare recipients in a three-site random-assignment intervention conducted in the early 1990s (the NEWWS), we examine the role of cognitive and non-cognitive factors in moderating experimental impacts of an adult education training program for women who lacked a high school degree or GED at the time of…
Descriptors: Locus of Control, Females, Adult Education, Probability
Cirino, Paul T.; Morris, Mary K.; Morris, Robin D. – Assessment, 2007
Semantic retrieval (SR) and executive-procedural (EP), but not visuospatial (VS) skills, have been found to be uniquely predictive of mathematical calculation skills in a sample of clinically referred college students. This study set out to cross-validate these results in an independent sample of clinically referred college students (N = 337) as…
Descriptors: Remedial Mathematics, College Mathematics, Memory, Semantics
Fayowski, V.; MacMillan, P. D. – International Journal of Mathematical Education in Science and Technology, 2008
Supplemental Instruction (SI) incorporates collaborative learning in small, peer-led, group settings in order to integrate instruction in learning and reasoning skills with course content. Several meta-analyses speak to the efficacy of SI but fail to address selection bias due to ability/motivation and gender. In this study, SI was paired with a…
Descriptors: Grade Point Average, Student Motivation, Course Content, Calculus