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Banks, Kathleen – Practical Assessment, Research & Evaluation, 2015
This article introduces practitioners and researchers to the topic of missing data in the context of differential item functioning (DIF), reviews the current literature on the issue, discusses implications of the review, and offers suggestions for future research. A total of nine studies were reviewed. All of these studies determined what effect…
Descriptors: Test Bias, Data, Literature Reviews, Evaluation Research
Hansen, Michael – American Enterprise Institute for Public Policy Research, 2013
The growing prominence of value-added models for measuring teacher effectiveness has prompted a recent surge in policies that consider students' classroom performance part of a teacher's evaluation. Yet, in light of the criticism and limitations of the current models, whether and how evaluation systems will adapt over time is unclear. This paper…
Descriptors: Teacher Effectiveness, Instructional Leadership, Data Analysis, Teacher Evaluation
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Plowman, Lydia; Stephen, Christine – British Educational Research Journal, 2008
Researchers who use video to record interactions usually need to translate the video data into another medium at some stage in order to facilitate its analysis and dissemination. This article considers some methodological issues that arise in this process by examining transcripts, diagrams and pictures as examples of different techniques for…
Descriptors: Interaction, Data Analysis, Research Methodology, Videotape Recordings

Dolby, James L. – Information Processing and Management, 1984
Suggests structure based on two sets of principles for deriving meaning from data: Shannon's measure of entropy, which provides means of measuring amount of information in message; and Ranganathan's faceted classification scheme, which provides means of determining number of meaningful data. Syntax, meaning, and semantics of data are discussed.…
Descriptors: Classification, Communication (Thought Transfer), Data, Data Analysis