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Direct linkFox, Lindsay – Education Finance and Policy, 2016
Current uses of value-added modeling largely ignore or assume away the potential for teachers to be more effective with one type of student than another or in one subject than another. This paper explores the stability of value-added measures across different subgroups and subjects using administrative data from a large urban school district. For…
Descriptors: Teacher Effectiveness, Outcome Measures, Teacher Improvement, School Statistics
Guarino, Cassandra M.; Reckase, Mark D.; Wooldridge, Jeffrey M. – Education Finance and Policy, 2015
We investigate whether commonly used value-added estimation strategies produce accurate estimates of teacher effects under a variety of scenarios. We estimate teacher effects in simulated student achievement data sets that mimic plausible types of student grouping and teacher assignment scenarios. We find that no one method accurately captures…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Achievement Gains, Merit Rating
Download full textRickles, Jordan H.; Hansen, Mark; Wang, Jia – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2013
In this paper we examine ways to conceptualize and address potential bias that can arise when the mechanism for missing outcome data is at least partially associated with treatment assignment, an issue we refer to as treatment confounded missingness (TCM). In discussing TCM, we bring together concepts from the methodological literature on missing…
Descriptors: Data, Bias, Data Analysis, Statistical Analysis
Shelley, Mack, Ed.; Chiang, I-Tsun, Ed.; Ozturk, O. Tayfur, Ed. – International Society for Technology, Education, and Science, 2021
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on April 1-4, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and…
Descriptors: Middle School Students, Student Interests, Student Attitudes, STEM Education
Shelley, Mack, Ed.; Chiang, I-Tsun, Ed.; Ozturk, O. Tayfur, Ed. – Online Submission, 2021
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on April 1-4, 2021 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and…
Descriptors: Middle School Students, Student Interests, Student Attitudes, STEM Education
Diakow, Ronli Phyllis – ProQuest LLC, 2013
This dissertation comprises three papers that propose, discuss, and illustrate models to make improved inferences about research questions regarding student achievement in education. Addressing the types of questions common in educational research today requires three different "extensions" to traditional educational assessment: (1)…
Descriptors: Inferences, Educational Assessment, Academic Achievement, Educational Research
Kerr, Deirdre; Chung, Gregory K. W. K. – Journal of Educational Data Mining, 2012
The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…
Descriptors: Evidence Based Practice, Design, Academic Achievement, Educational Games
Green, Jennifer L. – ProQuest LLC, 2010
Value-added modeling is an alternative approach to test-based accountability systems based on the proportions of students scoring at or above pre-determined proficiency levels. Value-added modeling techniques provide opportunities to estimate an individual teacher's effect on student learning, while allowing for the possibility to control for the…
Descriptors: Simulation, Scoring, Psychometrics, Data Analysis
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the 13th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2016), October 28-30, 2016, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by the University of Mannheim, Germany, and endorsed by the…
Descriptors: Conferences (Gatherings), Foreign Countries, Constructivism (Learning), Technological Advancement
Peer reviewedWilliamson, Gary L. – Journal of Experimental Education, 1990
A growth curve approach to longitudinal profile analysis is presented by which univariate and multivariate descriptions of achievement and rate of growth are provided, and intraindividual strengths and weaknesses are computed for profiles of achievement and progress. Analyses are reported for simulated data conforming to a straight-line growth…
Descriptors: Academic Achievement, Achievement Gains, Data Analysis, Individual Characteristics
Peer reviewedWentworth, Donald R.; Lewis, Darrell R. – Journal of Experimental Education, 1973
This paper describes a study that attempts to measure the influence of a commercially available game, Marketplace, on student achievement is economic understanding and student attitudes toward the instructional process and selected economic concepts. (Author)
Descriptors: Academic Achievement, Course Evaluation, Data Analysis, Economics Education
Miller, Roy E.; Bositis, David A. – 1977
Two approaches for teaching empirical research methods to graduate students in political science courses are evaluated. Specific objectives of the evaluation, in addition to comparing relative teaching effectiveness of the two approaches, were to explore causal dynamics between the teaching environment, user satisfaction, and learning performance.…
Descriptors: Academic Achievement, Comparative Analysis, Computer Assisted Instruction, Course Evaluation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
