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Halpin, Peter F. – Measurement: Interdisciplinary Research and Perspectives, 2017
The target paper, "Rethinking Traditional Methods of Survey Validation" (Andrew Maul), raises some interesting critical ideas, both old and new, about the validation of self-report surveys. As indicated by Dr. Maul, recent policy initiatives in the United States (e.g., ESSA) have led to a demand for assessments of…
Descriptors: Self Evaluation (Individuals), Evaluation Methods, Measurement Techniques, Response Style (Tests)
Lee, Nick; Chamberlain, Laura – Measurement: Interdisciplinary Research and Perspectives, 2016
Aguirre-Urreta, Rönkkö, and Marakas' (2016) paper in "Measurement: Interdisciplinary Research and Perspectives" (hereafter referred to as ARM2016) is an important and timely piece of scholarship, in that it provides strong analytic support to the growing theoretical literature that questions the underlying ideas behind causal and…
Descriptors: Measurement, Causal Models, Formative Evaluation, Evaluation Methods
Ho, Andrew – Measurement: Interdisciplinary Research and Perspectives, 2016
This is a response to a focus article by Briggs and Peck (2015) in issue 13(2). It should have been published in issue 13(3-4) alongside a rejoinder by Briggs and Peck that did appear. Due to an oversight, it was not published there and appears here. See issue 13(3-4) for a rejoinder to this response. Briggs and Peck (2015) propose what amounts to…
Descriptors: Figurative Language, Learning Processes, Misconceptions, Teacher Evaluation
Widaman, Keith F. – Measurement: Interdisciplinary Research and Perspectives, 2014
Latent variable structural equation modeling has become the analytic method of choice in many domains of research in psychology and allied social sciences. One important aspect of a latent variable model concerns the relations hypothesized to hold between latent variables and their indicators. The most common specification of structural equation…
Descriptors: Structural Equation Models, Predictor Variables, Educational Research, Causal Models
Maydeu-Olivares, Alberto – Measurement: Interdisciplinary Research and Perspectives, 2013
In this rejoinder, Maydeu-Olivares states that, in item response theory (IRT) measurement applications, the application of goodness-of-fit (GOF) methods informs researchers of the discrepancy between the model and the data being fitted (the room for improvement). By routinely reporting the GOF of IRT models, together with the substantive results…
Descriptors: Goodness of Fit, Models, Evaluation Methods, Item Response Theory
Waltman, Ludo; Costas, Rodrigo; van Eck, Nees Jan – Measurement: Interdisciplinary Research and Perspectives, 2012
The literature on bibliometric indices for assessing scholarly impact, in particular the "h" index (Hirsch, 2005) and its many variants, is extensive, but nevertheless Ruscio and colleagues (this issue) succeed in making a valuable contribution. They have made the effort of collecting publication and citation data for no less than 1,750…
Descriptors: Evidence, Citations (References), Periodicals, Measurement
Brennan, Robert L. – Measurement: Interdisciplinary Research and Perspectives, 2010
This excellent set of papers is comprehensive and very well written. The Kane et al. paper lays out the theory for linear equating with the NEAT design using a clever but simple framework. The Suh et al. paper is an excellent empirical study of the various methods. The Mroch et al. paper provides an insightful evaluation of the methods as…
Descriptors: Equated Scores, Evaluation Methods, Psychometrics, Models
Engelhard, George, Jr.; Sullivan, Rubye K. – Measurement: Interdisciplinary Research and Perspectives, 2011
The Black, Wilson, and Yao (this issue) provide a wide-ranging commentary and vision of the interrelationships among curriculum, pedagogy, and assessment. Specifically, they describe how the Berkeley Evaluation & Assessment Research (BEAR) Center Assessment System can be used to integrate and systematize these areas. This commentary focuses on…
Descriptors: Maps, Context Effect, Learning Processes, Ecology
Kyngdon, Andrew – Measurement: Interdisciplinary Research and Perspectives, 2011
Black, Wilson, and Yao (this issue) commendably attempt to put descriptive theory at the center of pedagogy, assessment, and curriculum. The thrust of their article is that only through theories of learning will student progression be properly understood. Casting a critical eye over the faddish distinction between "formative" and "summative"…
Descriptors: Learning Theories, Nuclear Physics, Psychometrics, Misconceptions
Andrich, David – Measurement: Interdisciplinary Research and Perspectives, 2011
This commentary examines the role of the unit from the perspective of the definition of measurement in physics as the ratio of two magnitudes, one of which is defined as the unit; it is an important and timely contribution to measurement in the social sciences. There are many different points that could be commented upon, but the author will…
Descriptors: Social Sciences, Physics, Psychometrics, Item Response Theory
Haslam, Nick – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio and colleagues (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) have done a great service by systematically comparing indices of scholarly impact. Three aspects of their work are particularly valuable: (1) Their assessment of the proliferating collection of metrics, whose development has become something of a cottage industry,…
Descriptors: Psychology, Authors, Measurement, Outcome Measures
Salzberger, Thomas – Measurement: Interdisciplinary Research and Perspectives, 2011
Compared to traditional test theory, where person measures are typically referenced to the distribution of a population, item response theory allows for a much more meaningful interpretation of measures as they can be directly compared to item locations. However, Stephen Humphry shows that the crucial role of the unit of measurement has been…
Descriptors: Psychometrics, Item Response Theory, Measurement, Sociometric Techniques
Panaretos, John; Malesios, Chrisovaladis C. – Measurement: Interdisciplinary Research and Perspectives, 2012
In their article Ruscio et al. (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) present a comparative study of some of the different variants of the "h" index. The study evaluates a total of 22 metrics, including the "h" index and "h"-type indices, as well as other conventional measures. The novelty of their work is to a large extent…
Descriptors: Comparative Analysis, Usability, Statistical Analysis, Productivity
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
Engelhard, George, Jr.; Perkins, Aminah F. – Measurement: Interdisciplinary Research and Perspectives, 2011
Humphry (this issue) has written a thought-provoking piece on the interpretation of item discrimination parameters as scale units in item response theory. One of the key features of his work is the description of an item response theory (IRT) model that he calls the logistic measurement function that combines aspects of two traditions in IRT that…
Descriptors: Foreign Countries, Social Sciences, Item Response Theory, Testing