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) | 4 |
Descriptor
| Bayesian Statistics | 9 |
| Correlation | 9 |
| Research Methodology | 9 |
| Educational Research | 3 |
| Factor Analysis | 3 |
| Meta Analysis | 3 |
| Models | 3 |
| Simulation | 3 |
| Analysis of Variance | 2 |
| Error of Measurement | 2 |
| Item Analysis | 2 |
| More ▼ | |
Source
| Digital Education Review | 1 |
| Educational and Psychological… | 1 |
| Journal of Educational… | 1 |
| Psychological Methods | 1 |
| Psychometrika | 1 |
| Research Synthesis Methods | 1 |
Author
| Bockenholt, Ulf | 1 |
| Brown, C. Hendricks | 1 |
| Carlin, Bradley P. | 1 |
| Chan, Darius K.-S. | 1 |
| Cheung, Shu Fai | 1 |
| Chu, Haitao | 1 |
| Dagne, Getachew A. | 1 |
| Elmore, Patricia B. | 1 |
| Hong, Hwanhee | 1 |
| Howe, George W. | 1 |
| Lenk, Peter | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Evaluative | 4 |
| Reports - Research | 4 |
| Information Analyses | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth – Digital Education Review, 2018
Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…
Descriptors: Information Retrieval, Data Analysis, Educational Environment, Research Methodology
Hong, Hwanhee; Chu, Haitao; Zhang, Jing; Carlin, Bradley P. – Research Synthesis Methods, 2016
Bayesian statistical approaches to mixed treatment comparisons (MTCs) are becoming more popular because of their flexibility and interpretability. Many randomized clinical trials report multiple outcomes with possible inherent correlations. Moreover, MTC data are typically sparse (although richer than standard meta-analysis, comparing only two…
Descriptors: Bayesian Statistics, Meta Analysis, Outcomes of Treatment, Comparative Analysis
Dagne, Getachew A.; Brown, C. Hendricks; Howe, George W. – Psychological Methods, 2007
This article presents new methods for modeling the strength of association between multiple behaviors in a behavioral sequence, particularly those involving substantively important interaction patterns. Modeling and identifying such interaction patterns becomes more complex when behaviors are assigned to more than two categories, as is the case…
Descriptors: Interaction, Bayesian Statistics, Models, Behavior Patterns
Cheung, Shu Fai; Chan, Darius K.-S. – Educational and Psychological Measurement, 2008
In meta-analysis, it is common to have dependent effect sizes, such as several effect sizes from the same sample but measured at different times. Cheung and Chan proposed the adjusted-individual and adjusted-weighted procedures to estimate the degree of dependence and incorporate this estimate in the meta-analysis. The present study extends the…
Descriptors: Effect Size, Academic Achievement, Meta Analysis, Correlation
Peer reviewedViana, Marlos A. G. – Journal of Educational Statistics, 1993
Use of linear combinations of Fisher's "z" transformations as a combined test for the common correlation parameter based on "k" independent sample correlations has been previously studied. This article considers additional "z" additive properties and methods of combining independent studies when planning the number of…
Descriptors: Bayesian Statistics, Correlation, Equations (Mathematics), Evaluation Criteria
Lenk, Peter; Wedel, Michel; Bockenholt, Ulf – Psychometrika, 2006
This paper presents a hierarchical Bayes circumplex model for ordinal ratings data. The circumplex model was proposed to represent the circular ordering of items in psychological testing by imposing inequalities on the correlations of the items. We provide a specification of the circumplex, propose identifying constraints and conjugate priors for…
Descriptors: Bayesian Statistics, Models, Psychological Testing, Correlation
Perkins, Kyle – 1987
In this paper four classes of procedures for measuring the instructional sensitivity of reading comprehension test items are reviewed. True experimental designs are not recommended because some of the most important reading comprehension variables do not lend themselves to experimental manipulation. "Ex post facto" factorial designs are…
Descriptors: Bayesian Statistics, Correlation, Elementary Secondary Education, Evaluation Methods
Elmore, Patricia B.; Woehlke, Paula L. – 1996
A content analysis was conducted of three educational research journals published by the American Educational Research Association to review the quantitative and qualitative techniques used in educational research. All articles appearing in these three journals from 1988 through 1995 (total n=1,715) were considered. Research methods were…
Descriptors: Analysis of Covariance, Analysis of Variance, Bayesian Statistics, Content Analysis
Penfield, Douglas A. – 1972
Thirty-four papers on educational statistics which were presented at the 1971 AERA Conference are summarized. Six major interest areas are covered: (a) general information; (b) non-parametric methods; (c) errors of measurement and correlation techniques; (d) regression theory; (e) univariate and multivariate analysis; (f) factor analysis. (MS)
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Science Research, Computers

Direct link
