Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Evaluation Methods | 7 |
| Models | 7 |
| Network Analysis | 7 |
| Social Networks | 5 |
| Data Analysis | 3 |
| Foreign Countries | 3 |
| Academic Achievement | 2 |
| Coding | 2 |
| College Students | 2 |
| Computer Assisted Testing | 2 |
| Computer Software | 2 |
| More ▼ | |
Source
| Computers & Education | 1 |
| International Educational… | 1 |
| International Journal of… | 1 |
| Journal of Learning Analytics | 1 |
| Journal of Library… | 1 |
| ProQuest LLC | 1 |
| Sociological Methods &… | 1 |
Author
| Barnes, Tiffany, Ed. | 1 |
| Butts, Carter T. | 1 |
| Collier, Wesley | 1 |
| Dawson, Shane | 1 |
| DeLay, Dawn | 1 |
| Hershkovitz, Arnon, Ed. | 1 |
| Hipp, John | 1 |
| Hu, Xiangen, Ed. | 1 |
| Kindermann, Thomas | 1 |
| Kiuru, Noona | 1 |
| Lakon, Cynthia M. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 3 |
| Reports - Descriptive | 2 |
| Collected Works - Proceedings | 1 |
| Dissertations/Theses -… | 1 |
| Guides - Non-Classroom | 1 |
Education Level
Audience
| Researchers | 1 |
Location
| China | 1 |
| Finland | 1 |
| United Kingdom (Glasgow) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
DeLay, Dawn; Laursen, Brett; Kiuru, Noona; Rogers, Adam; Kindermann, Thomas; Nurmi, Jari-Erik – International Journal of Behavioral Development, 2021
The present study compares two methods for assessing peer influence: the longitudinal actor-partner interdependence model (L-APIM) and the longitudinal social network analysis (L-SNA) Model. The data were drawn from 1,995 (49% girls and 51% boys) third grade students (M[subscript age] = 9.68 years). From this sample, L-APIM (n = 206…
Descriptors: Peer Influence, Evaluation Methods, Social Networks, Network Analysis
Wang, Cheng; Butts, Carter T.; Hipp, John; Lakon, Cynthia M. – Sociological Methods & Research, 2022
The recent popularity of models that capture the dynamic coevolution of both network structure and behavior has driven the need for summary indices to assess the adequacy of these models to reproduce dynamic properties of scientific or practical importance. Whereas there are several existing indices for assessing the ability of the model to…
Descriptors: Models, Goodness of Fit, Comparative Analysis, Computer Software
Shaffer, David Williamson; Collier, Wesley; Ruis, A. R. – Journal of Learning Analytics, 2016
This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. Such models illustrate the structure of connections and measure the strength of association among elements in a network, and they quantify…
Descriptors: Epistemology, Network Analysis, Data Analysis, Coding
Utilizing Social Bookmarking Tag Space for Web Content Discovery: A Social Network Analysis Approach
Wei, Wei – ProQuest LLC, 2010
Social bookmarking has gained popularity since the advent of Web 2.0. Keywords known as tags are created to annotate web content, and the resulting tag space composed of the tags, the resources, and the users arises as a new platform for web content discovery. Useful and interesting web resources can be located through searching and browsing based…
Descriptors: Cooperative Planning, Semantics, Network Analysis, Social Networks
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
Peer reviewedTurock, Betty J. – Journal of Library Administration, 1986
The fourth of five phases of a study of planning and evaluating multitype library networks pulls together the results of the first three, which examined individually three previously used approaches--performance, organization, and attitude--to form a model. The fifth phase is currently testing the model on a national basis. (CDD)
Descriptors: Attitude Measures, Evaluation Methods, Interlibrary Loans, Library Cooperation

Direct link
