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      All metrics are equal, but some metrics are more equal than others: A systematic search and review on the use of the term ‘metric’

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          Abstract

          Objective

          To examine the use of the term ‘metric’ in health and social sciences’ literature, focusing on the interval scale implication of the term in Modern Test Theory (MTT).

          Materials and methods

          A systematic search and review on MTT studies including ‘metric’ or ‘interval scale’ was performed in the health and social sciences literature. The search was restricted to 2001–2005 and 2011–2015. A Text Mining algorithm was employed to operationalize the eligibility criteria and to explore the uses of ‘metric’. The paradigm of each included article (Rasch Measurement Theory (RMT), Item Response Theory (IRT) or both), as well as its type (Theoretical, Methodological, Teaching, Application, Miscellaneous) were determined. An inductive thematic analysis on the first three types was performed.

          Results

          70.6% of the 1337 included articles were allocated to RMT, and 68.4% were application papers. Among the number of uses of ‘metric’, it was predominantly a synonym of ‘scale’; as adjective, it referred to measurement or quantification. Three incompatible themes ‘only RMT/all MTT/no MTT models can provide interval measures’ were identified, but ‘interval scale’ was considerably more mentioned in RMT than in IRT.

          Conclusion

          ‘Metric’ is used in many different ways, and there is no consensus on which MTT metric has interval scale properties. Nevertheless, when using the term ‘metric’, the authors should specify the level of the metric being used (ordinal, ordered, interval, ratio), and justify why according to them the metric is at that level.

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          Most cited references107

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          Arbitrary metrics in psychology.

          Many psychological tests have arbitrary metrics but are appropriate for testing psychological theories. Metric arbitrariness is a concern, however, when researchers wish to draw inferences about the true, absolute standing of a group or individual on the latent psychological dimension being measured. The authors illustrate this in the context of 2 case studies in which psychologists need to develop inventories with nonarbitrary metrics. One example comes from social psychology, where researchers have begun using the Implicit Association Test to provide the lay public with feedback about their "hidden biases" via popular Internet Web pages. The other example comes from clinical psychology, where researchers often wish to evaluate the real-world importance of interventions. As the authors show, both pursuits require researchers to conduct formal research that makes their metrics nonarbitrary by linking test scores to meaningful real-world events. 2006 APA, all rights reserved.
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            Rating scales and Rasch measurement.

            Assessments with ratings in ordered categories have become ubiquitous in health, biological and social sciences. Ratings are used when a measuring instrument of the kind found in the natural sciences is not available to assess some property in terms of degree - for example, greater or smaller, better or worse, or stronger or weaker. The handling of ratings has ranged from the very elementary to the highly sophisticated. In an elementary form, and assumed in classical test theory, the ratings are scored with successive integers and treated as measurements; in a sophisticated form, and used in modern test theory, the ratings are characterized by probabilistic response models with parameters for persons and the rating categories. Within modern test theory, two paradigms, similar in many details but incompatible on crucial points, have emerged. For the purposes of this article, these are termed the statistical modeling and experimental measurement paradigms. Rather than reviewing a compendium of available methods and models for analyzing ratings in detail, the article focuses on the incompatible differences between these two paradigms, with implications for choice of model and inferences. It shows that the differences have implications for different roles for substantive researchers and psychometricians in designing instruments with rating scales. To illustrate these differences, an example is provided.
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              • Article: not found

              Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: SoftwareRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2018
                6 March 2018
                : 13
                : 3
                : e0193861
                Affiliations
                [1 ] Swiss Paraplegic Research, Nottwil, Switzerland
                [2 ] Department of Health Sciences and Health Policy, University of Lucerne, Lucerne, Switzerland
                [3 ] Faculty of Applied Health and Social Sciences, University of Applied Sciences Rosenheim, Rosenheim, Germany
                Wenzhou Medical University Eye Hospital, CHINA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-2668-1820
                Article
                PONE-D-17-26576
                10.1371/journal.pone.0193861
                5839589
                29509813
                a0407cf0-95f5-4c96-ac36-055a6a2125db
                © 2018 Adroher et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 July 2017
                : 19 February 2018
                Page count
                Figures: 4, Tables: 6, Pages: 22
                Funding
                This work is part of the cumulative PhD thesis of NDA at the University of Lucerne, conducted in collaboration with Swiss Paraplegic Research.
                Categories
                Research Article
                Research and analysis methods
                Bioassays and physiological analysis
                Biochemical analysis
                Colorimetric assays
                MTT assay
                Research and analysis methods
                Bioassays and physiological analysis
                Biochemical analysis
                Enzyme assays
                MTT assay
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Medicine and Health Sciences
                Social Sciences
                Computer and Information Sciences
                Information Technology
                Text Mining
                Social Sciences
                Sociology
                Social Theory
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Contingency Tables
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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