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Zumbo, Bruno D.; Hubley, Anita M. – Assessment in Education: Principles, Policy & Practice, 2016
Ultimately, measures in research, testing, assessment and evaluation are used, or have implications, for ranking, intervention, feedback, decision-making or policy purposes. Explicit recognition of this fact brings the often-ignored and sometimes maligned concept of consequences to the fore. Given that measures have personal and social…
Descriptors: Testing Programs, Testing Problems, Measurement Techniques, Student Evaluation
Hus, Vanessa; Bishop, Somer; Gotham, Katherine; Huerta, Marisela; Lord, Catherine – Journal of Child Psychology and Psychiatry, 2013
The Social Responsiveness Scale (SRS) is currently being used in clinical and genetic studies of autism as both a screener and as a quantitative measure of autistic traits. This article assesses the influence of nonspecific factors on SRS scores to aid researchers in their interpretations of these scores. In their commentary, Constantino and…
Descriptors: Measurement Techniques, Pervasive Developmental Disorders, Autism, Screening Tests
Scholten, Annemarie Zand; Maris, Gunter; Borsboom, Denny – Measurement: Interdisciplinary Research and Perspectives, 2011
In his opening statements, Humphry takes a critical attitude with respect to psychometric modeling. As he advances and discusses Michell's well-known criticisms, the reader is certain that this paper must have something on offer that deviates considerably from conventional psychometrics. After all "most psychometricians have either explicitly or…
Descriptors: Psychometrics, Research Methodology, Models, Measurement Techniques
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
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
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
Kyngdon, Andrew – Measurement: Interdisciplinary Research and Perspectives, 2011
Behavioral scientists have struggled with units of measurement for as long as they have struggled with measurement itself. Psychology's sole attempt at an explicit unit of measurement--the Lexile Framework for Reading (Stenner, Burdick, Sanford, & Burdick, 2006)--has been and continues to be ignored by the psychometric "cognoscenti."…
Descriptors: Measurement Techniques, Psychometrics, Behavioral Sciences, Scientists
Borkenau, Peter – Measurement: Interdisciplinary Research and Perspectives, 2012
Describing, explaining, and discussing various modern indices of scholarly impact as accomplished by Ruscio, Seaman, D'Oriano, Stremlo, and Mahalchik (this issue) is highly commendable, as such measures get increasingly important in hiring and promotion decisions. The author agrees with almost all points made in the target article, except the…
Descriptors: Periodicals, Correlation, Measurement, Outcome Measures
Yorke, Mantz – Studies in Higher Education, 2011
Much grading of student work is based, overtly or tacitly, on assumptions derived from scientific measurement. However, the practice of grading and the cumulation of grades into an overall index of achievement are socially constructed activities that fall a long way short of what is expected of scientific measurement. If scientific measurement is…
Descriptors: Student Evaluation, Grading, Summative Evaluation, Scientific Methodology
Cacioppo, John T.; Cacioppo, Stephanie – Measurement: Interdisciplinary Research and Perspectives, 2012
Ruscio and colleagues (Ruscio, Seaman, D'Oriano, Stremlo, & Mahalchik, this issue) provide a thoughtful empirical analysis of 22 different measures of individual scholarly impact. The simplest metric is number of publications, which Simonton (1997) found to be a reasonable predictor of career trajectories. Although the assessment of the scholarly…
Descriptors: Measurement, Outcome Measures, Scholarship, Bibliometrics
Dale, Leigh – Higher Education Review, 2012
This essay is a contribution to the literature of critique of higher education policy and management. It offers a general discussion of problems arising from the proliferation of mechanisms of audit and quality assurance within the context of concerns about dependence on quantitative measures of values. It argues that uncritical dependence on…
Descriptors: Foreign Countries, Higher Education, Anxiety, Quality Assurance
McLeod, Bryce D.; Southam-Gerow, Michael A.; Weisz, John R. – School Psychology Review, 2009
This special series focused on treatment integrity in the child mental health and education field is timely. The articles do a laudable job of reviewing (a) the current status of treatment integrity research and measurement, (b) existing conceptual models of treatment integrity, and (c) the limitations of prior research. Overall, this thoughtful…
Descriptors: Evaluation Research, Children, Intervention, Research Methodology
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
Killeen, Peter R. – Psychological Methods, 2010
Lecoutre, Lecoutre, and Poitevineau (2010) have provided sophisticated grounding for "p[subscript rep]." Computing it precisely appears, fortunately, no more difficult than doing so approximately. Their analysis will help move predictive inference into the mainstream. Iverson, Wagenmakers, and Lee (2010) have also validated…
Descriptors: Replication (Evaluation), Measurement Techniques, Research Design, Research Methodology