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The journal is abstracted and indexed in Scopus and the Social Sciences Citation Index.According to the Journal Citation Reports, its 2017 impact factor is 1.663, ranking it 7th out of 13 journals in the category "Psychology, Mathematical", [1] 25th out of 59 journals in the category "Psychology, Educational", [2] and 37th out of 103 journals in "Mathematics, Interdisciplinary Applications".
The journal publishes original educational measurement research, provides reviews of measurement publications, and reports on innovative measurement applications. According to the Journal Citation Reports, the journal has a 2011 impact factor of 1.0, ranking it 9th out of 13 journals in the category "Psychology Mathematical", 31st out of 51 ...
Educational and Psychological Measurement; ... Evolutionary Psychology (journal) ... This page was last edited on 4 July 2024, ...
This page lists peer-reviewed academic journals in educational psychology and closely related fields.. Academy of Management Learning & Education; American Journal of Distance Education
Educational and Psychological Measurement; Educational Psychologist; International Journal of Mentoring and Coaching in Education; Journal of Educational Psychology; Journal of Positive Behavior Interventions; Journal of Psychoeducational Assessment; Journal of Research in Reading; Learning and Individual Differences; Mind, Brain, and Education ...
Educational Measurement: Issues and Practice is a quarterly peer-reviewed academic journal published by Wiley-Blackwell on behalf of the National Council on Measurement in Education. The journal was established in 1982. Its current editor-in-chief is Deborah J. Harris. The journal covers educational measurement in the sense of both inferences ...
According to the Journal Citation Reports, the journal has a two-year impact factor of 8.209 and a five-year impact factor of 11.302 (as of June 2022), making it one of the top-ranked journals in educational research and educational psychology. [2] The journal practices double-blind peer review (since at least 1979 [3]).
Principal axis factoring, ML factor analysis, alpha factor analysis and image factor analysis is most useful ways of EFA. It employs various factor rotation methods which can be classified into orthogonal (resulting in uncorrelated factors) and oblique (resulting correlated factors). The ‘psych’ package in R is useful for EFA.