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Showing 1 to 15 of 16 results Save | Export
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Ori Ossmy; Danyang Han; Patrick MacAlpine; Justine Hoch; Peter Stone; Karen E. Adolph – Developmental Science, 2024
What is the optimal penalty for errors in infant skill learning? Behavioral analyses indicate that errors are frequent but trivial as infants acquire foundational skills. In learning to walk, for example, falling is commonplace but appears to incur only a negligible penalty. Behavioral data, however, cannot reveal whether a low penalty for falling…
Descriptors: Physical Activities, Robotics, Error Patterns, Infants
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Piro, Yousra; Wevers, Britt; Maddens, Louise; Raes, Annelies; Elen, Jan – International Journal of Educational Psychology, 2022
With its long tradition, research on misconceptions helps to understand how concepts are learned and how learning in the disciplines can be supported. Up to now, research on misconceptions has focused on natural sciences, while research on misconceptions in behavioral sciences is scarce, not to say absent. In this study an attempt was made to…
Descriptors: Secondary School Students, Student Attitudes, Misconceptions, Behavioral Science Research
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Kubina, Richard M., Jr.; Kostewicz, Douglas E.; Brennan, Kaitlyn M.; King, Seth A. – Educational Psychology Review, 2017
Visual displays such as graphs have played an instrumental role in psychology. One discipline relies almost exclusively on graphs in both applied and basic settings, behavior analysis. The most common graphic used in behavior analysis falls under the category of time series. The line graph represents the most frequently used display for visual…
Descriptors: Graphs, Psychology, Visual Stimuli, Time
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Yamaguchi, Motonori; Proctor, Robert W. – Psychological Review, 2012
The present study proposes and examines the multidimensional vector (MDV) model framework as a modeling schema for choice response times. MDV extends the Thurstonian model, as well as signal detection theory, to classification tasks by taking into account the influence of response properties on stimulus discrimination. It is capable of accounting…
Descriptors: Educational Technology, Mathematical Models, Scaling, Experiments
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Vallejo, G.; Fernandez, M. P.; Livacic-Rojas, P. E.; Tuero-Herrero, E. – Multivariate Behavioral Research, 2011
Missing data are a pervasive problem in many psychological applications in the real world. In this article we study the impact of dropout on the operational characteristics of several approaches that can be easily implemented with commercially available software. These approaches include the covariance pattern model based on an unstructured…
Descriptors: Personality Problems, Psychosis, Prevention, Patients
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Holden, Jocelyn E.; Kelley, Ken – Educational and Psychological Measurement, 2010
Classification procedures are common and useful in behavioral, educational, social, and managerial research. Supervised classification techniques such as discriminant function analysis assume training data are perfectly classified when estimating parameters or classifying. In contrast, unsupervised classification techniques such as finite mixture…
Descriptors: Discriminant Analysis, Classification, Computation, Behavioral Science Research
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Sheynikhovich, Denis; Chavarriaga, Ricardo; Strosslin, Thomas; Arleo, Angelo; Gerstner, Wulfram – Psychological Review, 2009
Modern psychological theories of spatial cognition postulate the existence of a geometric module for reorientation. This concept is derived from experimental data showing that in rectangular arenas with distinct landmarks in the corners, disoriented rats often make diagonal errors, suggesting their preference for the geometric (arena shape) over…
Descriptors: Cues, Spatial Ability, Geometric Concepts, Information Processing
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Cai, Li; Hayes, Andrew F. – Journal of Educational and Behavioral Statistics, 2008
When the errors in an ordinary least squares (OLS) regression model are heteroscedastic, hypothesis tests involving the regression coefficients can have Type I error rates that are far from the nominal significance level. Asymptotically, this problem can be rectified with the use of a heteroscedasticity-consistent covariance matrix (HCCM)…
Descriptors: Least Squares Statistics, Error Patterns, Error Correction, Computation
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Williams, Jason; MacKinnon, David P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional "z" test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a…
Descriptors: Intervals, Testing, Predictor Variables, Effect Size
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Whitehouse, Andrew J. O.; Barry, Johanna G.; Bishop, Dorothy V. M. – Journal of Communication Disorders, 2008
Some children with autism demonstrate poor nonword repetition--a deficit considered to be a psycholinguistic marker of specific language impairment (SLI). The present study examined whether there is an SLI subtype among children with autism. We compared the language abilities of children with SLI (n = 34, M age = 11;10 S.D. = 2;3), and children…
Descriptors: Autism, Language Impairments, Short Term Memory, Children
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Nordstokke, David W.; Zumbo, Bruno D. – Journal of Educational Research & Policy Studies, 2007
The central messages of this paper are that (a) unequal variances may be more prevalent than typically imagined in educational and policy research, and (b) when considering tests of equal variances one needs to be cautious about what is being referred to as "Levene's test" because Levene's test is actually a family of techniques. Depending on…
Descriptors: Statistical Analysis, Educational Policy, Educational Research, Computer Software
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Yoder, Paul J.; Tapp, Jon – Journal of Behavioral Education, 2004
Time-window sequential analyses test whether a target behavior occurs within a temporal window (e.g., within 2 seconds) after an antecedent behavior more than is expected by chance. This type of question is common when we need to know how one person or event may immediately affect another event or person in the natural environment. Theoretically,…
Descriptors: Monte Carlo Methods, Error Patterns, Association Measures, Effect Size
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McNaughton, Stuart – Educational Psychology: An International Journal of Experimental Educational Psychology, 1988
Reviews research on the possible roles that errors might play in learning to read. Contrasts a productive view of errors with the view that errors are problematic to instruction, stating that the two are compatible. Concludes that errors can have both a generative and an inhibiting function depending upon instructional conditions. (GEA)
Descriptors: Beginning Reading, Behavioral Science Research, Educational Theories, Elementary Education
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Allwood, Carl Martin – Cognitive Science: A Multidisciplinary Journal of Artificial Intelligence, Psychology and Language, 1984
Describes a study which analyzed problem solvers' error detection processes by instructing subjects to think aloud when solving statistical problems. Effects of evaluative episodes on error detection, detection of different error types, error detection processes per se, and relationship of error detection behavior to problem-solving proficiency…
Descriptors: Behavioral Science Research, Cognitive Style, Correlation, Error Patterns
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Kalish, Michael L.; Lewandowsky, Stephan; Davies, Melissa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2005
Knowledge restructuring occurs when people shift to a new strategy or representation during learning. Although knowledge restructuring can frequently be experimentally encouraged, there are instances in which people resist restructuring and continue to use an expedient but imperfect initial strategy. The authors report 3 category learning…
Descriptors: Cognitive Restructuring, Error Patterns, Attitude Change, Learning Strategies
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