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Ziying Li; A. Corinne Huggins-Manley; Walter L. Leite; M. David Miller; Eric A. Wright – Educational and Psychological Measurement, 2022
The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…
Descriptors: Sequential Approach, Item Response Theory, Data, Simulation
Sorour, Shaymaa E.; Goda, Kazumasa; Mine, Tsunenori – Educational Technology & Society, 2017
The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students' learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic…
Descriptors: Data Analysis, Information Retrieval, Academic Achievement, Student Attitudes
Sezer, Senol – Educational Sciences: Theory and Practice, 2016
The purpose of this study is to reveal school administrators' opinions on frequently changing regulations related to appointments and relocation and to offer a new model. A qualitative research design was employed. The study participants were 20 school principals and 20 vice principals working in the Ordu, Giresun and Trabzon city centres during…
Descriptors: Foreign Countries, Administrator Attitudes, Principals, Assistant Principals
Pelanek, Radek – Journal of Educational Data Mining, 2015
Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…
Descriptors: Models, Data Analysis, Data Processing, Evaluation Criteria
Ohia, Uche O. – Contemporary Issues in Education Research, 2011
This paper describes a model proven to be effective for assessing and documenting evidence of student learning outcomes. Specifically, it will share a model, F.A.M.O.U.S. Copyright ©2008, which is an acronym exemplifying six effective steps for complying with institutional accountability and eternal assessment requirements proscribed by the…
Descriptors: Outcome Measures, Academic Achievement, Achievement Rating, Models
Madill, Anna; Gough, Brendan – Psychological Methods, 2008
In discussing the place of diverse qualitative research within psychological science, the authors highlight the potential permeability of the quantitative-qualitative boundary and identify different ways of increasing communication between researchers specializing in different methods. Explicating diversity within qualitative research is…
Descriptors: Qualitative Research, Models, Psychology, Research Methodology
Volkwein, J. Fredericks – New Directions for Institutional Research, 2010
In this chapter, the author proposes a model for assessing institutional effectiveness. The Volkwein model for assessing institutional effectiveness consists of five parts that summarize the steps for assessing institutions, programs, faculty, and students. The first step in the model distinguishes the dual purposes of institutional effectiveness:…
Descriptors: Institutional Evaluation, Models, Evaluation Methods, Evaluation Criteria
Volkwein, J. Fredericks – New Directions for Institutional Research, 2010
Evaluative statements from alumni have legitimacy with both internal and external stakeholders. Thus, alumni studies can provide valuable evidence of institutional effectiveness and lend themselves to both locally designed and commercial survey instruments for data collection. Under ideal conditions, the results of alumni studies equip faculty and…
Descriptors: Research Design, Institutional Research, Institutional Evaluation, Alumni
Administration for Children & Families, 2010
The Office of Planning, Research and Evaluation (OPRE), a unit within the Administration for Children and Families (ACF), is responsible for advising the Assistant Secretary for Children and Families on increasing the effectiveness and efficiency of programs to improve the economic and social well-being of children and families. In collaboration…
Descriptors: Program Administration, Program Evaluation, Educational Assessment, Planning
Lang, William Steve; Wilkerson, Judy R. – Online Submission, 2007
For the purposes of measurement such as aggregation, improvement, diagnosis, assessment, evaluation, reporting, and research; constructs must be measured and not just observed, counted, or collected. Valid and reliable measurement includes a defined construct, a choice of appropriate models, creation of instruments, and meaningful results. In…
Descriptors: Evaluation Criteria, Personality, Models, Teacher Education
Kwok, Oi-man; West, Stephen G.; Green, Samuel B. – Multivariate Behavioral Research, 2007
This Monte Carlo study examined the impact of misspecifying the [big sum] matrix in longitudinal data analysis under both the multilevel model and mixed model frameworks. Under the multilevel model approach, under-specification and general-misspecification of the [big sum] matrix usually resulted in overestimation of the variances of the random…
Descriptors: Monte Carlo Methods, Data Analysis, Computation, Longitudinal Studies
Reese, Don; Smith, Ray – Journal of Business Education, 1974
Descriptors: Business Education, Business Skills, Data Analysis, Evaluation Criteria

Pessemier, Edgar A. – Communication Research--An International Quarterly, 1976
Presents a model designed to allow communication analysts to predict the most promising approach to improving acceptance of a competitive service or idea. (MH)
Descriptors: Behavior Theories, Communication (Thought Transfer), Conceptual Schemes, Data Analysis
Carter, Homer L. J. – Int Reading Assn Conf Proc Pt 4, 1968
Presents the following steps for the clinician to follow in determining consequential factors of reading disability: (1) identification, (2) assumption and rejection or acceptance, (3) discovery and explanation, and (4) prediction and verification. (CM)
Descriptors: Case Studies, Data Analysis, Evaluation Criteria, Failure

Haney, Walt – Curriculum Inquiry, 1977
Interpretations point up the fact that research-oriented evaluation, aiming at estimation of program effects on specific test outcome measures, is capable of illuminating only part of the value of a complex social program like Follow Through. (Author/MLF)
Descriptors: Compensatory Education, Cost Effectiveness, Data Analysis, Early Childhood Education