Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Bayesian Statistics | 7 |
| Comparative Analysis | 7 |
| Individual Differences | 7 |
| Models | 3 |
| Data Analysis | 2 |
| Evaluation Methods | 2 |
| Measurement Techniques | 2 |
| Probability | 2 |
| Simulation | 2 |
| Test Construction | 2 |
| Accountability | 1 |
| More ▼ | |
Source
| Cognitive Science | 1 |
| International Educational… | 1 |
| Journal of Creative Behavior | 1 |
| Journal of Problem Solving | 1 |
| Psychological Methods | 1 |
Author
| Lee, Michael D. | 2 |
| Bergeman, C. S. | 1 |
| Dewett, Todd | 1 |
| Hamaker, Ellen | 1 |
| Kim, Woojae | 1 |
| Koedinger, Kenneth R. K | 1 |
| Liu, Ran | 1 |
| Millman, Jason | 1 |
| Moustakis, Vassilis | 1 |
| Paradowski, Michael J. | 1 |
| Shiffrin, Richard M. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 5 |
| Journal Articles | 4 |
| Reports - Evaluative | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| High Schools | 1 |
| Higher Education | 1 |
| Secondary Education | 1 |
Audience
Location
| Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Wang, Lijuan; Hamaker, Ellen; Bergeman, C. S. – Psychological Methods, 2012
Intra-individual variability over a short period of time may contain important information about how individuals differ from each other. In this article we begin by discussing diverse indicators for quantifying intra-individual variability and indicate their advantages and disadvantages. Then we propose an alternative method that models…
Descriptors: Evaluation Methods, Data Analysis, Individual Differences, Models
Zampetakis, Leonidas A.; Moustakis, Vassilis; Dewett, Todd; Zampetakis, Kostas – Journal of Creative Behavior, 2008
In the present study we used bayesian latent growth modeling to asses the impact of a one-semester creativity course on the development of engineering students' creativity scripts. We compared a treatment (N = 52) and a control (N = 42) group with respect to individual differences in initial status and in rate of change. Results revealed that the…
Descriptors: Scripts, Control Groups, Creativity, Intervention
Shiffrin, Richard M.; Lee, Michael D.; Kim, Woojae; Wagenmakers, Eric-Jan – Cognitive Science, 2008
This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues…
Descriptors: Bayesian Statistics, Generalization, Sciences, Models
Lee, Michael D.; Paradowski, Michael J. – Journal of Problem Solving, 2007
We consider group decision-making on an optimal stopping problem, for which large and stable individual differences have previously been established. In the problem, people are presented with a sequence of five random numbers between 0 and 100, one at a time, and are required to choose the maximum of the sequence, without being allowed to return…
Descriptors: Participative Decision Making, Problem Solving, Individual Differences, Comparative Analysis
Weiss, David J. – 1976
Three and one-half years of research on computerized ability testing are summarized. The original objectives of the research were: (1) to develop and implement the stratified computer-based ability test; (2) to compare, on psychometric criteria, the various approaches to computer-based ability testing, including the stratified computerized test,…
Descriptors: Adaptive Testing, Bayesian Statistics, Branching, Comparative Analysis
Millman, Jason – 1974
This chapter should not only acquaint the reader with the present state of the art on Criterion-Referenced (CR) measurement but also suggest possible directions for further inquiry. The goal of the first part of this chapter is to deal with the definitional dilemma of CR measurement by proceeding from the more traditional view of CR measurement to…
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Objectives, Comparative Analysis

Peer reviewed
Direct link
