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Winne, Philip H. – Frontline Learning Research, 2020
This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To…
Descriptors: Data Analysis, Measurement Techniques, Data Collection, Protocol Analysis
Van Meter, Peggy N. – Frontline Learning Research, 2020
The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…
Descriptors: Motivation, Learning Strategies, Measurement Techniques, Self Management
Weitzman, Beth C.; Silver, Diana – American Journal of Evaluation, 2013
In this commentary, we examine Braverman's insights into the trade-offs between feasibility and rigor in evaluation measures and reject his assessment of the trade-off as a zero-sum game. We, argue that feasibility and policy salience are, like reliability and validity, intrinsic to the definition of a good measure. To reduce the tension between…
Descriptors: Program Evaluation, Measures (Individuals), Evaluation Methods, Measurement
Murawska, Jaclyn M.; Walker, David A. – Mid-Western Educational Researcher, 2017
In this commentary, we offer a set of visual tools that can assist education researchers, especially those in the field of mathematics, in developing cohesiveness from a mixed methods perspective, commencing at a study's research questions and literature review, through its data collection and analysis, and finally to its results. This expounds…
Descriptors: Mixed Methods Research, Research Methodology, Visual Aids, Research Tools
Walker, A. Adrienne; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2014
"Game-Based Assessments: A Promising Way to Create Idiographic Perspectives" (Adrienne Walker and George Englehard) comments on: "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" by Russell G. Almond, Yoon Jeon Kim, Gertrudes Velasquez, and Valerie J. Shute. Here, Walker and Englehard write…
Descriptors: Educational Games, Task Analysis, Models, Educational Assessment
Martineau, Joseph A.; Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary of a paper by Derek C. Briggs and Frederick A. Peck, "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth," which describes an elegant potential framework for at least beginning to address three priorities in large-scale assessment that have not been…
Descriptors: Performance Factors, Barriers, Program Implementation, Group Testing
Cohen, Jonathan – Regional Educational Laboratory Mid-Atlantic, 2015
The REL Mid-Atlantic Webinar discussed the elements in a positive school climate and shared different methods for assessing school data, including the Comprehensive School Climate Inventory. The Q&A presented in this document address the questions participants had for Dr. Cohen following the webinar. The webinar recording and PowerPoint…
Descriptors: Educational Environment, School Culture, Evaluation Methods, Measurement Techniques
Black, Paul; Wilson, Mark; Yao, Shih-Ying – Measurement: Interdisciplinary Research and Perspectives, 2011
In this rejoinder, the authors provide their thoughts on each of the commentaries of the seven respondents to their article. They find that the response of Kyngdon differs markedly from the others in questioning some basic elements of the methods of analysis that they propose for the construction of a "road map." The authors emphasize that they…
Descriptors: Teaching Methods, Data Analysis, Measurement Techniques, Educational Improvement
Heene, Moritz – Measurement: Interdisciplinary Research and Perspectives, 2011
Humphry (this issue) deserves credit for drawing attention to the long-neglected fact that differences in item discrimination parameters are often due to empirical factors and not the product of random error components. In doing so, Humphry offers a psychometrically elegant, coherent, and practically important new model that is more flexible while…
Descriptors: Measurement, Item Response Theory, Data, Psychometrics
Porter, Theodore M. – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) write of a thing with which scientists and scholars are all too familiar, the assessment of published research and of its authors. The author was startled to discover how little the agenda of the paper seems to engage with factors one relies on for salary and promotion…
Descriptors: Evaluation Criteria, Data Analysis, Evaluative Thinking, Bias
Peer reviewedHayes, Robert M. – Information Processing and Management, 1993
Presents and discusses implications of a set of measures of information. Definitions of relevant terms, including fact, data, representation, information, and knowledge, are given; four levels of processing data are explained (i.e., data transfer, data selection, data analysis, and data reduction); and relationships between information and…
Descriptors: Communication (Thought Transfer), Data Analysis, Data Processing, Information Technology
Dawson, Judith A. – 1982
This paper is based on the premise that relatively little is known about how to improve validity in qualitative research and less is known about how to estimate validity in studies conducted by others. The purpose of the study was to describe the conceptualization of validity in qualitative inquiry to determine how it was used by the author of a…
Descriptors: Data Analysis, Data Collection, Educational Research, Evaluation Methods
Peer reviewedOverall, John E. – Journal of Clinical Psychology, 1994
Discusses several issues that pertain to analysis of data from repeated measurements designs. Notes that necessity for assumption concerning uniformity of correlations can be avoided by calculating linear and/or nonlinear trend scores. Discusses advantages of separately calculated trend scores. Proposes conservative criterion for use of one-sided…
Descriptors: Data Analysis, Measurement Techniques, Research Problems
Fisher, William P., Jr. – Measurement: Interdisciplinary Research and Perspectives, 2007
The American Educational Research Association (AERA) 2007 Call for Proposals points out the need for researchers in education to look beyond their usual sources to other fields that have extensive experience in relevant theories and methods. In transitioning from a response to AERA's Call for Proposals to the text of these articles on Assessing…
Descriptors: Mathematics Education, Evaluation Methods, Research Methodology, Validity
Wilson, Bruce L.; McGrail, Janet – 1987
School climate is an elusive but powerful concept that has captured the attention of both researchers and practitioners, but choosing an instrument to assess climate can be very complicated. This monograph accordingly discusses four basic issues that should be considered prior to selecting an instrument to measure school climate: purpose, choice…
Descriptors: Attitude Measures, Data Analysis, Data Collection, Educational Environment

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