Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 3 |
Descriptor
| Bayesian Statistics | 4 |
| Comparative Analysis | 4 |
| Data Interpretation | 4 |
| Achievement Rating | 2 |
| Correlation | 2 |
| Educational Practices | 2 |
| Academic Achievement | 1 |
| Action Research | 1 |
| Change Strategies | 1 |
| Classroom Techniques | 1 |
| Collegiality | 1 |
| More ▼ | |
Source
| Journal of Educational Data… | 1 |
| Marzano Research Laboratory | 1 |
| Mentoring & Tutoring:… | 1 |
| Practical Assessment,… | 1 |
Author
| Alvermann, Donna | 1 |
| Boedeker, Peter | 1 |
| Galyardt, April | 1 |
| Goldin, Ilya | 1 |
| Haystead, Mark W. | 1 |
| Henderson, Susan | 1 |
| Kaste, Janine | 1 |
| Many, Joyce | 1 |
| Marzano, Robert J. | 1 |
| Young, Josephine Peyton | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
| Reports - Evaluative | 1 |
Education Level
| Adult Education | 1 |
| Elementary Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textBoedeker, Peter – Practical Assessment, Research & Evaluation, 2017
Hierarchical linear modeling (HLM) is a useful tool when analyzing data collected from groups. There are many decisions to be made when constructing and estimating a model in HLM including which estimation technique to use. Three of the estimation techniques available when analyzing data with HLM are maximum likelihood, restricted maximum…
Descriptors: Hierarchical Linear Modeling, Maximum Likelihood Statistics, Bayesian Statistics, Computation
Galyardt, April; Goldin, Ilya – Journal of Educational Data Mining, 2015
In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…
Descriptors: Achievement Rating, Performance Based Assessment, Bayesian Statistics, Data Analysis
Direct linkMarzano, Robert J.; Haystead, Mark W. – Marzano Research Laboratory, 2010
During the 2009-2010 school year, Marzano Research Laboratory (MRL) was commissioned by Promethean Ltd. to conduct a second year evaluation study of the effects of Promethean ActivClassroom on student academic achievement. This report describes the findings from the second year study along with aggregate findings from the first and second year…
Descriptors: Academic Achievement, Action Research, Research Reports, Program Evaluation
Young, Josephine Peyton; Alvermann, Donna; Kaste, Janine; Henderson, Susan; Many, Joyce – Mentoring & Tutoring: Partnership in Learning, 2004
The purpose of this study was to explore the place of friendship in mentoring relationships among two female literacy education professors and three female doctoral students enrolled at neighboring universities. The authors used West and Oldfather's (1995) pooled case comparison approach to analyze the data from two separate studies: one that was…
Descriptors: Mentors, Literacy, Collegiality, Friendship
