Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 4 |
Descriptor
Computer Software | 4 |
Multivariate Analysis | 4 |
Models | 3 |
Accuracy | 2 |
Comparative Analysis | 2 |
Item Response Theory | 2 |
Statistical Bias | 2 |
Bayesian Statistics | 1 |
Computation | 1 |
Computer Oriented Programs | 1 |
Data Analysis | 1 |
More ▼ |
Source
Journal of Educational and… | 4 |
Author
Berger, Moritz | 1 |
Dean, Nema | 1 |
Flynt, Abby | 1 |
Hennessy, Emily A. | 1 |
Nydick, Steven W. | 1 |
Polanin, Joshua R. | 1 |
Tanner-Smith, Emily E. | 1 |
Tutz, Gerhard | 1 |
Wang, Chun | 1 |
Publication Type
Journal Articles | 4 |
Reports - Research | 3 |
Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wang, Chun; Nydick, Steven W. – Journal of Educational and Behavioral Statistics, 2020
Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve model and extended the assessment of growth to multidimensional IRT models and higher order IRT models. However, there is a lack of synthetic studies that clearly evaluate the strength and…
Descriptors: Item Response Theory, Longitudinal Studies, Comparative Analysis, Models
Flynt, Abby; Dean, Nema – Journal of Educational and Behavioral Statistics, 2016
Cluster analysis is a set of statistical methods for discovering new group/class structure when exploring data sets. This article reviews the following popular libraries/commands in the R software language for applying different types of cluster analysis: from the stats library, the kmeans, and hclust functions; the mclust library; the poLCA…
Descriptors: Multivariate Analysis, Computer Software, Comparative Analysis, Programming Languages
Polanin, Joshua R.; Hennessy, Emily A.; Tanner-Smith, Emily E. – Journal of Educational and Behavioral Statistics, 2017
Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to…
Descriptors: Meta Analysis, Open Source Technology, Computer Software, Effect Size
Tutz, Gerhard; Berger, Moritz – Journal of Educational and Behavioral Statistics, 2016
Heterogeneity in response styles can affect the conclusions drawn from rating scale data. In particular, biased estimates can be expected if one ignores a tendency to middle categories or to extreme categories. An adjacent categories model is proposed that simultaneously models the content-related effects and the heterogeneity in response styles.…
Descriptors: Response Style (Tests), Rating Scales, Data Interpretation, Statistical Bias