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Timmons, Kristy; Pelletier, Janette – Early Child Development and Care, 2016
In this study, we explored the influence of kindergarten children's perspectives of school on their literacy and self-regulation outcomes. Children's early perspectives were captured in a three-question, finger-puppet interview. Responses to the interview questions were coded thematically as being academic and/or social in nature, and were…
Descriptors: Childhood Attitudes, Kindergarten, Longitudinal Studies, Puppetry
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Najafabadi, Maryam Omidi; Zamani, Maryam; Mirdamadi, Mehdi – Journal of Education for Business, 2016
The authors used Ajzen's theory of planned behavior and Shapero's entrepreneurial event model as well as entrepreneurial cognition theory to identify the relationship among entrepreneurial skills, self-efficacy, attitudes toward entrepreneurship, psychological traits, social norms, perceived desirability, social support, and entrepreneurial…
Descriptors: Models, Entrepreneurship, Agricultural Education, Intention
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Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
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Balasooriya, Uditha; Li, Jackie; Low, Chan Kee – Australian Senior Mathematics Journal, 2012
For any density function (or probability function), there always corresponds a "cumulative distribution function" (cdf). It is a well-known mathematical fact that the cdf is more general than the density function, in the sense that for a given distribution the former may exist without the existence of the latter. Nevertheless, while the…
Descriptors: Computation, Probability, Mathematics, Mathematics Curriculum
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Culbertson, Jennifer; Smolensky, Paul – Cognitive Science, 2012
In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language-learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners' input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized…
Descriptors: Models, Bayesian Statistics, Artificial Languages, Language Acquisition
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Mossman, Douglas; Wygant, Dustin B.; Gervais, Roger O. – Psychological Assessment, 2012
Psychologists frequently use symptom validity tests (SVTs) to help determine whether evaluees' test performance or reported symptoms accurately represent their true functioning and capability. Most studies evaluating the accuracy of SVTs have used either known-group comparisons or simulation designs, but these approaches have well-known…
Descriptors: Accuracy, Classification, Validity, Psychological Testing
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Ahern, David C.; Bridges, Ana J.; Faust, David – Journal of Child Sexual Abuse, 2012
Our series of three chapters (Faust, Bridges, & Ahern, 2009a, 2009b; Bridges, Faust, & Ahern, 2009) on the methodology of identifying sexually abused children elicited a number of comments, both supportive and critical. The criticisms appear related to three primary issues or apparent misconceptions of our work, perhaps due in part to incomplete…
Descriptors: Child Abuse, Misconceptions, Sexual Abuse, Identification
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DeMars, Christine E. – Applied Psychological Measurement, 2012
A testlet is a cluster of items that share a common passage, scenario, or other context. These items might measure something in common beyond the trait measured by the test as a whole; if so, the model for the item responses should allow for this testlet trait. But modeling testlet effects that are negligible makes the model unnecessarily…
Descriptors: Test Items, Item Response Theory, Comparative Analysis, Models
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van de Schoot, Rens; Hoijtink, Herbert; Hallquist, Michael N.; Boelen, Paul A. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Researchers in the behavioral and social sciences often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model resulting in an informative hypothesis. The questions they would like an answer to are "Is the hypothesis Correct" or "Is the hypothesis…
Descriptors: Bayesian Statistics, Structural Equation Models, Hypothesis Testing, Computer Software
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Zwick, Rebecca; Ye, Lei; Isham, Steven – Journal of Educational and Behavioral Statistics, 2012
This study demonstrates how the stability of Mantel-Haenszel (MH) DIF (differential item functioning) methods can be improved by integrating information across multiple test administrations using Bayesian updating (BU). The authors conducted a simulation that showed that this approach, which is based on earlier work by Zwick, Thayer, and Lewis,…
Descriptors: Test Bias, Computation, Statistical Analysis, Bayesian Statistics
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Jordan, Pascal; Spiess, Martin – Psychometrika, 2012
Maximum likelihood and Bayesian ability estimation in multidimensional item response models can lead to paradoxical results as proven by Hooker, Finkelman, and Schwartzman ("Psychometrika" 74(3): 419-442, 2009): Changing a correct response on one item into an incorrect response may produce a higher ability estimate in one dimension.…
Descriptors: Item Response Theory, Statistical Analysis, Factor Analysis, Generalization
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Brown, Dannie L. – Industry and Higher Education, 2015
The purpose of this research was to assess students' expectations of future job satisfaction. Data were collected from 484 students enrolled in the BBA programme at Cape Breton University, Nova Scotia, Canada. Locke's job satisfaction theory and Hackman and Oldham's job characteristics model provided the theoretical foundation for the study.…
Descriptors: Job Satisfaction, Expectation, Cohort Analysis, Cultural Differences
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
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Markon, Kristian E. – Psychological Methods, 2013
Although advances have improved our ability to describe the measurement precision of a test, it often remains challenging to summarize how well a test is performing overall. Reliability, for example, provides an overall summary of measurement precision, but it is sample-specific and might not reflect the potential usefulness of a test if the…
Descriptors: Measures (Individuals), Psychometrics, Statistical Analysis, Bayesian Statistics
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Scheibehenne, Benjamin; Rieskamp, Jorg; Wagenmakers, Eric-Jan – Psychological Review, 2013
Many theories of human cognition postulate that people are equipped with a repertoire of strategies to solve the tasks they face. This theoretical framework of a cognitive toolbox provides a plausible account of intra- and interindividual differences in human behavior. Unfortunately, it is often unclear how to rigorously test the toolbox…
Descriptors: Cognitive Processes, Behavior, Models, Bayesian Statistics
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