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Michael Borenstein – Research Synthesis Methods, 2024
In any meta-analysis, it is critically important to report the dispersion in effects as well as the mean effect. If an intervention has a moderate clinical impact "on average" we also need to know if the impact is moderate for all relevant populations, or if it varies from trivial in some to major in others. Or indeed, if the…
Descriptors: Meta Analysis, Error Patterns, Statistical Analysis, Intervention
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Sinclair, Alyssa H.; Barense, Morgan D. – Learning & Memory, 2018
Through the process of "reconsolidation," reminders can temporarily destabilize memories and render them vulnerable to change. Recent rodent research has proposed that prediction error, or the element of surprise, is a key component of this process; yet, this hypothesis has never before been extended to complex episodic memories in…
Descriptors: Memory, Prediction, Error Patterns, Cues
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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
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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
Streeter, Matthew – International Educational Data Mining Society, 2015
We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…
Descriptors: Probability, Error Patterns, Learning Processes, Models
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
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Castilla-Earls, Anny; Pérez-Leroux, Ana Teresa; Restrepo, Maria Adelaida; Gaile, Daniel; Chen, Ziqiang – Language Acquisition: A Journal of Developmental Linguistics, 2018
This study investigates the use of the Spanish subjunctive in bilingual children with and without specific language impairments (SLI). Using an elicitation task, we examine: (i) the potential of the subjunctive as a grammatical marker of SLI in Spanish-English bilingual children, (ii) the extent to which degree of bilingualism affects performance,…
Descriptors: Spanish, Bilingualism, English (Second Language), Second Language Learning
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Foote, Rebecca – Second Language Research, 2015
In native speakers of gender-marking languages, mechanisms of gender production appear to be affected by the morphophonological cues to gender present in the noun phrase. This influence is manifested in higher levels of production accuracy when more transparent cues to gender are present in comparison to when they are not. The goal of the present…
Descriptors: Spanish, Grammar, Second Language Learning, Morphology (Languages)
Roessger, Kevin M. – ProQuest LLC, 2013
In work-related, instrumental learning contexts the role of reflective activities is unclear. Kolb's (1985) experiential learning theory and Mezirow's transformative learning theory (2000) predict skill-adaptation as a possible outcome. This prediction was experimentally explored by manipulating reflective activities and assessing participants'…
Descriptors: Workplace Learning, Skill Development, Reflection, Experiential Learning
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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
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Dinnsen, Daniel A.; Green, Christopher R.; Morrisette, Michele L.; Gierut, Judith A. – Clinical Linguistics & Phonetics, 2011
This article documents the typological occurrence and interactions of two seemingly independent error patterns, namely Velar Fronting and Labial Harmony, in a cross-sectional investigation of the sound systems of 235 children with phonological delays (ages 3;0 to 7;9). The results revealed that the occurrence of Labial Harmony depends on the…
Descriptors: Error Patterns, Prediction, Interaction, Classification
Hynes, Kevin – 1976
One aspect of multiple regression--the shrinkage of the multiple correlation coefficient on cross-validation is reviewed. The paper consists of four sections. In section one, the distinction between a fixed and a random multiple regression model is made explicit. In section two, the cross-validation paradigm and an explanation for the occurrence…
Descriptors: Correlation, Error Patterns, Literature Reviews, Mathematical Models
Advanced Technology, Inc., Reston, VA. – 1984
The development of the error prone model (EPM) for the 1984-1985 student financial aid validation criteria for Pell Grant recipient selection is discussed, based on a comparison of the 1983-1984 EPM criteria and a newly estimated EPM. Procedures/assumptions on which the new EPM was based include: a sample of 1982-1983 Pell Grant recipients…
Descriptors: Comparative Analysis, Dependents, Error Patterns, Evaluation Criteria
Advanced Technology, Inc., Reston, VA. – 1982
The development of a number of error-prone models to select Pell Grant recipients for validation is discussed. The 1983-1984 Pell Grant validation strategy consists of a two-stage approach: selection using Pre-Established Criteria (PEC) followed by selection using Error Prone Modeling (EPM). The database used for model development consists of a…
Descriptors: Comparative Analysis, Cost Effectiveness, Dependents, Error Patterns
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection