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Showing all 6 results
Buehl, Michelle M.; Fives, Helenrose – Journal of Experimental Education, 2009
The authors analyzed the open-ended responses of preservice (n = 53) and practicing (n = 57) teachers in terms of themes related to beliefs regarding the source and stability of teaching knowledge. Findings indicate that participants hold a range of beliefs regarding these constructs. Six themes related to the source of teaching knowledge emerged:…
Descriptors: Observational Learning, Teacher Collaboration, Teacher Certification, Preservice Teachers
Vaughn, Brandon K.; Wang, Qui – Journal of Experimental Education, 2008
The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional…
Descriptors: Classification, Regression (Statistics), Discriminant Analysis, Monte Carlo Methods
DeBacker, Teresa K.; Crowson, H. Michael; Beesley, Andrea D.; Thoma, Stephen J.; Hestevold, Nita L. – Journal of Experimental Education, 2008
Epistemic beliefs are notoriously difficult to measure with self-report instruments. In this study, the authors used large samples to assess the factor structure and internal consistency of 3 self-report measures of domain-general epistemic beliefs to draw conclusions about the trustworthiness of findings reported in the literature. College…
Descriptors: Factor Structure, Psychometrics, Epistemology, Beliefs
Meyer, J. Patrick; Huynh, Huynh – Journal of Experimental Education, 2008
Federal standards established in 1997 allow respondents to select multiple-race categories. These new standards changed the single-race subgroup definitions that the government has required since 1977. Meta-analysis, research on long-term assessment trends, and other research involving historical comparisons must account for the definitional…
Descriptors: Student Evaluation, Simulation, Definitions, Classification
Wang, Zhongmiao; Thompson, Bruce – Journal of Experimental Education, 2007
In this study the authors investigated the use of 5 (i.e., Claudy, Ezekiel, Olkin-Pratt, Pratt, and Smith) R[squared] correction formulas with the Pearson r[squared]. The authors estimated adjustment bias and precision under 6 x 3 x 6 conditions (i.e., population [rho] values of 0.0, 0.1, 0.3, 0.5, 0.7, and 0.9; population shapes normal, skewness…
Descriptors: Effect Size, Correlation, Mathematical Formulas, Monte Carlo Methods
Ferron, John; Jones, Peggy K. – Journal of Experimental Education, 2006
The authors present a method that ensures control over the Type I error rate for those who visually analyze the data from response-guided multiple-baseline designs. The method can be seen as a modification of visual analysis methods to incorporate a mechanism to control Type I errors or as a modification of randomization test methods to allow…
Descriptors: Multivariate Analysis, Data Analysis, Inferences, Monte Carlo Methods

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