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Brehm, Laurel; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The current work uses memory errors to examine the mental representation of verb-particle constructions (VPCs; e.g., "make up" the story, "cut up the meat"). Some evidence suggests that VPCs are represented by a cline in which the relationship between the VPC and its component elements ranges from highly transparent ("cut…
Descriptors: Verbs, Form Classes (Languages), Regression (Statistics), Error Patterns
Denby, Thomas; Schecter, Jeffrey; Arn, Sean; Dimov, Svetlin; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…
Descriptors: Phonology, Probability, Learning Processes, Syllables
Ganzfried, Sam; Yusuf, Farzana – Education Sciences, 2018
A problem faced by many instructors is that of designing exams that accurately assess the abilities of the students. Typically, these exams are prepared several days in advance, and generic question scores are used based on rough approximation of the question difficulty and length. For example, for a recent class taught by the author, there were…
Descriptors: Weighted Scores, Test Construction, Student Evaluation, Multiple Choice Tests
Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
A growing body of research suggests that accounting for student specific variability in educational data can improve modeling accuracy and may have implications for individualizing instruction. The Additive Factors Model (AFM), a logistic regression model used to fit educational data and discover/refine skill models of learning, contains a…
Descriptors: Models, Regression (Statistics), Learning, Classification
Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T. – International Educational Data Mining Society, 2015
User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…
Descriptors: Knowledge Level, Performance Factors, Error Patterns, Mathematics
Relling, Alejandro E.; Giuliodori, Mauricio J. – Advances in Physiology Education, 2015
The aims of the present study were to measure the effects of individual answer (correct vs. incorrect), individual answer of group members (no vs. some vs. all correct), self-confidence about the responses (low vs. mid vs. high), sex (female vs. male students), and group size (2-4 students) on the odds for change and for correctness after peer…
Descriptors: Physiology, Self Esteem, Responses, Gender Differences
Chang, Li-Chun – Universal Journal of Educational Research, 2015
The purpose of this study was to explore the reading behavior of young proficient Chinese readers at preschool age. Especially, the roles of phonetic skill and Chinese Character recognition in reading comprehension were explored. 10 kindergartens were recruited to participate in the study. Subjects were 72-98 kindergarten children. Instruments…
Descriptors: Foreign Countries, Reading Comprehension, Preschool Children, Preschool Evaluation
Sumner, Emma; Connelly, Vincent; Barnett, Anna L. – Journal of Learning Disabilities, 2016
Spelling is a prerequisite to expressing vocabulary in writing. Research has shown that children with dyslexia are hesitant spellers when composing. This study aimed to determine whether the hesitant spelling of children with dyslexia, evidenced by frequent pausing, affects vocabulary choices when writing. A total of 31 children with dyslexia,…
Descriptors: Foreign Countries, Spelling, Spelling Instruction, Vocabulary Development
Bringula, Rex P.; Manabat, Geecee Maybelline A.; Tolentino, Miguel Angelo A.; Torres, Edmon L. – World Journal of Education, 2012
This descriptive study determined which of the sources of errors would predict the errors committed by novice Java programmers. Descriptive statistics revealed that the respondents perceived that they committed the identified eighteen errors infrequently. Thought error was perceived to be the main source of error during the laboratory programming…
Descriptors: Error Patterns, Programming, Programming Languages, Predictor Variables
Luo, Xi; Zhang, Sheng; Hu, Sien; Bednarski, Sarah R.; Erdman, Emily; Farr, Olivia M.; Hong, Kwang-Ik; Sinha, Rajita; Mazure, Carolyn M.; Li, Chiang-shan R. – Brain, 2013
Deficits in cognitive control are implicated in cocaine dependence. Previously, combining functional magnetic resonance imaging and a stop signal task, we demonstrated altered cognitive control in cocaine-dependent individuals. However, the clinical implications of these cross-sectional findings and, in particular, whether the changes were…
Descriptors: Adolescents, Toxicology, Cocaine, Drug Addiction
Harring, Jeffrey R.; Weiss, Brandi A.; Hsu, Jui-Chen – Psychological Methods, 2012
Two Monte Carlo simulations were performed to compare methods for estimating and testing hypotheses of quadratic effects in latent variable regression models. The methods considered in the current study were (a) a 2-stage moderated regression approach using latent variable scores, (b) an unconstrained product indicator approach, (c) a latent…
Descriptors: Structural Equation Models, Geometric Concepts, Computation, Comparative Analysis
Murayama, Kou; Sakaki, Michiko; Yan, Veronica X.; Smith, Garry M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
In order to examine metacognitive accuracy (i.e., the relationship between metacognitive judgment and memory performance), researchers often rely on by-participant analysis, where metacognitive accuracy (e.g., resolution, as measured by the gamma coefficient or signal detection measures) is computed for each participant and the computed values are…
Descriptors: Metacognition, Memory, Accuracy, Statistical Analysis
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2013
In education randomized control trials (RCTs), the misreporting of student outcome data could lead to biased estimates of average treatment effects (ATEs) and their standard errors. This article discusses a statistical model that adjusts for misreported binary outcomes for two-level, school-based RCTs, where it is assumed that misreporting could…
Descriptors: Control Groups, Experimental Groups, Educational Research, Data Analysis
Schochet, Peter Z. – Society for Research on Educational Effectiveness, 2013
In randomized control trials (RCTs) of educational interventions, there is a growing literature on impact estimation methods to adjust for missing student outcome data using such methods as multiple imputation, the construction of nonresponse weights, casewise deletion, and maximum likelihood methods (see, for example, Allison, 2002; Graham, 2009;…
Descriptors: Control Groups, Experimental Groups, Educational Research, Data Analysis

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