Researchers must make numerous choices when conducting factor analyses, each of which can have significant ramifications on the model results. They must decide on an appropriate sample size to achieve accurate parameter estimates and adequate power, a factor model and estimation method, a method for determining the number of factors and evaluating model fit, and…
Journal of Psychoeducational Assessment Template
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About the Journal of Psychoeducational Assessment format
Journal of Psychoeducational Assessment is a peer-reviewed journal published by SAGE, covering Child and Adolescent Psychosocial and Emotional Development, Early Childhood Education and Development, Educational and Psychological Assessments.
| Publisher | SAGE |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Journal of Psychoeducational Assessment, 12(3), pp. 45–58.
Formats any DOI in Journal of Psychoeducational Assessment style. No sign-up. |
| Publishes research in | Child and Adolescent Psychosocial and Emotional Development Early Childhood Education and Development Educational and Psychological Assessments Cognitive Abilities and Testing Reading and Literacy Development |
| ISSN | 0734-2829 |
| Citation impact (2-yr) | 1.74 |
| h-index | 92 |
| i10-index | 1,005 |
| Total citations | 47,726 |
| Top institutions publishing here | Texas A&M University |
| Journal website | jpa.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Psychoeducational Assessment per year
Citation impact of Journal of Psychoeducational Assessment by publication year
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Most-cited papers in Journal of Psychoeducational Assessment
The authors provide a brief review of the history and assessment of math anxiety, its relationship to personal and educational consequences, and its important impact on measures of performance. Overall, math anxiety causes an “affective drop,” a decline in performance when math is performed under timed, high-stakes conditions, both in laboratory tests as well as…
Researchers commonly compare means and other statistics across groups with little concern for whether the measure possesses strong factorial invariance (i.e., equal factor loadings and intercepts/thresholds). When this assumption is violated, inaccurate inferences associated with statistical and practical significance can occur. This manuscript emphasizes the importance of testing for measurement invariance (MI) and provides guidance…