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He, Peng; Liu, Xiufeng; Zheng, Changlong; Jia, Mengying – Chemistry Education Research and Practice, 2016
This study intends to develop a standardized instrument for measuring classroom teaching and learning in secondary chemistry lessons. Based on previous studies and interviews with expert teachers, the progression of five quality levels was constructed hypothetically to represent the quality of chemistry lessons in Chinese secondary schools. The…
Descriptors: Foreign Countries, Secondary School Science, Science Instruction, Chemistry
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
Pelanek, Radek – Journal of Educational Data Mining, 2015
Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…
Descriptors: Models, Data Analysis, Data Processing, Evaluation Criteria
Ruscio, John; Walters, Glenn D.; Marcus, David K.; Kaczetow, Walter – Psychological Assessment, 2010
A number of recent studies have used Meehl's (1995) taxometric method to determine empirically whether one should model assessment-related constructs as categories or dimensions. The taxometric method includes multiple data-analytic procedures designed to check the consistency of results. The goal is to differentiate between strong evidence of…
Descriptors: Methods, Comparative Analysis, Data Analysis, Reliability
van der Kloot, Willem A.; Spaans, Alexander M. J.; Heiser, Willem J. – Psychological Methods, 2005
Hierarchical agglomerative cluster analysis (HACA) may yield different solutions under permutations of the input order of the data. This instability is caused by ties, either in the initial proximity matrix or arising during agglomeration. The authors recommend to repeat the analysis on a large number of random permutations of the rows and columns…
Descriptors: Multivariate Analysis, Reliability, Goodness of Fit, Data Analysis
Kim, Sooyeon; Kyllonen, Patrick C. – ETS Research Report Series, 2006
The Standardized Letter of Recommendation (SLR), a 28-item form, was created by ETS to supplement the qualitative rating of graduate school applicants' nonacademic qualities with a quantitative approach. The purpose of this study was to evaluate the following psychometric properties of the SLR using the Rasch rating-scale model: dimensionality,…
Descriptors: Item Response Theory, Rating Scales, Data Analysis, Models