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Measurement Interdisciplinary Research and Perspectives is a peer-reviewed journal published by Taylor & Francis, covering Psychometric Methodologies and Testing, Advanced Statistical Modeling Techniques, Evaluation and Performance Assessment.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Measurement Interdisciplinary Research and Perspectives 12 (3): 45–58.
Formats any DOI in Measurement Interdisciplinary Research and Perspectives style. No sign-up. |
| Publishes research in | Psychometric Methodologies and Testing Advanced Statistical Modeling Techniques Evaluation and Performance Assessment Student Assessment and Feedback Mental Health Research Topics |
| ISSN | 1536-6359 |
| Citation impact (2-yr) | 1.68 |
| h-index | 43 |
| i10-index | 137 |
| Total citations | 12,529 |
| Top institutions publishing here | University of Alabama |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Psychology is focused on variation between cases (interindividual variation). Results thus obtained are considered to be generalizable to the understanding and explanation of variation within single cases (intraindividual variation). It is indicated, however, that the direct consequences of the classical ergodic theorems for psychology and psychometrics invalidate this conjectured generalizability: only under very strict conditions-which…
In educational assessment, we observe what students say, do, or make in a few particular circumstances and attempt to infer what they know, can do, or have accomplished more generally. A web of inference connects the two. Some connections depend on theories and experience concerning the targeted knowledge in the domain, how it is acquired,…
(2006). FOCUS ARTICLE: Implications of Research on Children's Learning for Standards and Assessment: A Proposed Learning Progression for Matter and the Atomic-Molecular Theory. Measurement: Interdisciplinary Research and Perspectives: Vol. 4, No. 1-2, pp. 1-98.
One of the central lessons from research on data use in schools and school districts is that assessments, student tests, and other forms of data are only as good as how they are used. But what influences how they are used? This relatively straightforward question turns out to be fairly complex to answer. Data use…
Diagnostic classification models (DCM) are frequently promoted by psychometricians as important modelling alternatives for analyzing response data in situations where multivariate classifications of respondents are made on the basis of multiple postulated latent skills. In this review paper, a definitional boundary of the space of DCM is developed, core DCM within this space are reviewed,…
