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Showing 1 to 15 of 37 results Save | Export
Ashley L. Watts; Bridget A. Makol; Isabella M. Palumbo; Andres De Los Reyes; Thomas M. Olino; Robert D. Latzman; Colin G. DeYoung; Phillip K. Wood; Kenneth J. Sher – Grantee Submission, 2022
We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youth (Ns = 2119, 303, 592) for whom three informants reported on the youth's psychopathology (e.g., child, parent, teacher). Empirical support for the "p"-factor diminished in multi-informant models compared with…
Descriptors: Multitrait Multimethod Techniques, Robustness (Statistics), Psychopathology, Youth
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Charles J. Fitzsimmons; Lauren Woodbury; Jennifer M. Taber; Lauren K. Schiller; Marta K. Mielicki; Pooja G. Sidney; Karin G. Coifman; Clarissa A. Thompson – Grantee Submission, 2023
Health risks, when presented as ratios (e.g., two out of seven people), are challenging to understand, but visual displays can foster accurate understanding. We conducted three experiments to test how characteristics of numbers (Experiment 1), icon arrays (Experiments 1, 2, and 3), and number lines (Experiments 1 and 3) influenced people's ability…
Descriptors: Accuracy, Risk, Health, Visual Aids
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Walsh, Cole; Stein, Martin M.; Tapping, Ryan; Smith, Emily M.; Holmes, N. G. – Physical Review Physics Education Research, 2021
Omitted variable bias occurs in most statistical models. Whenever a confounding variable that is correlated with both dependent and independent variables is omitted from a statistical model, estimated effects of included variables are likely to be biased due to omitted variables. This issue is particularly problematic in physics education research…
Descriptors: Physics, Science Education, Educational Research, Statistical Bias
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Boedeker, Peter – Practical Assessment, Research & Evaluation, 2017
Hierarchical linear modeling (HLM) is a useful tool when analyzing data collected from groups. There are many decisions to be made when constructing and estimating a model in HLM including which estimation technique to use. Three of the estimation techniques available when analyzing data with HLM are maximum likelihood, restricted maximum…
Descriptors: Hierarchical Linear Modeling, Maximum Likelihood Statistics, Bayesian Statistics, Computation
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Bui, Ngoc H. – Journal of College Reading and Learning, 2017
Studies on reading literacy have yet to connect how students perceive the importance of different literacy areas to their ability perception in those areas. This article analyzes students' importance ranking of four different areas of literacy: prose (comprehending written information), document (interpreting information in forms, schedules,…
Descriptors: Undergraduate Students, Self Efficacy, Reading Attitudes, Prose
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Stahnke, Rebekka; Schueler, Sven; Roesken-Winter, Bettina – ZDM: The International Journal on Mathematics Education, 2016
Research in mathematics education has investigated teachers' professional knowledge in depth, comprising two different approaches: a cognitive and a situated perspective. Linking these two perspectives leads to addressing situation-specific skills such as perception, interpretation and decision-making, indicative of revealing a teacher's knowledge…
Descriptors: Teacher Attitudes, Mathematics, Mathematics Education, Decision Making
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Downs, Andrew; Van Hoomissen, Jacqueline; Lafrenz, Andrew; Julka, Deana L. – Journal of American College Health, 2014
Objective: To determine the level of moderate-vigorous-intensity physical activity (MVPA) assessed via self-report and accelerometer in the college population, and to examine intrapersonal and contextual variables associated with physical activity (PA). Participants: Participants were 77 college students at a university in the northwest sampled…
Descriptors: Measurement Equipment, Athletics, Self Concept, Barriers
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Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
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Chin, Chi-Chin; Yang, Wei-Cheng; Tuan, Hsiao-Lin – International Journal of Science and Mathematics Education, 2016
This study explored the effects of arguing to learn in a socioscientific context on the fundamental and derived components of reading, writing, and science understanding as integral parts of science literacy. We adopted mixed-methods in which the 1-group pretest-posttest design with supplemental interviews and questionnaires. The pretest evaluated…
Descriptors: Pretests Posttests, Scientific Literacy, Foreign Countries, Mixed Methods Research
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Steenman, Sebastiaan C.; Bakker, Wieger E.; van Tartwijk, Jan W. F. – Studies in Higher Education, 2016
The first-year grade point average (FYGPA) is the predominant measure of student success in most studies on university admission. Previous cognitive achievements measured with high school grades or standardized tests have been found to be the strongest predictors of FYGPA. For this reason, standardized tests measuring cognitive achievement are…
Descriptors: Selective Admission, Grade Point Average, College Freshmen, Grade Prediction
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Ludlow, Larry; Klein, Kelsey – Journal of Statistics Education, 2014
Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables--a…
Descriptors: Statistics, Correlation, Predictor Variables, Regression (Statistics)
Reardon, Sean F.; Kalogrides, Demetra; Ho, Andrew D. – Stanford Center for Education Policy Analysis, 2017
There is no comprehensive database of U.S. district-level test scores that is comparable across states. We describe and evaluate a method for constructing such a database. First, we estimate linear, reliability-adjusted linking transformations from state test score scales to the scale of the National Assessment of Educational Progress (NAEP). We…
Descriptors: School Districts, Scores, Statistical Distributions, Database Design
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Goedert, Kelly M.; Ellefson, Michelle R.; Rehder, Bob – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
Individuals have difficulty changing their causal beliefs in light of contradictory evidence. We hypothesized that this difficulty arises because people facing implausible causes give greater consideration to causal alternatives, which, because of their use of a positive test strategy, leads to differential weighting of contingency evidence.…
Descriptors: Causal Models, Inferences, Beliefs, Attitude Change
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Salsman, Nicholas; Dulaney, Cynthia L.; Chinta, Ravi; Zascavage, Victoria; Joshi, Hem – College Student Journal, 2013
The benefits of student engagement in undergraduate research are well-recognized by many higher education institutions. Increased emphasis on undergraduate research in these institutions has taken many forms resulting in considerable differences across institutions ranging from "light touch" to "heavy duty" involvement of…
Descriptors: Undergraduate Students, Student Research, Student Surveys, Student Attitudes
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Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
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