(1984). Maslach Burnout Inventory. Measurement and Evaluation in Counseling and Development: Vol. 17, No. 2, pp. 100-102.
Measurement and Evaluation in Counseling and Development Template
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About the Measurement and Evaluation in Counseling and Development format
Measurement and Evaluation in Counseling and Development is a peer-reviewed journal published by SAGE, covering Counseling Practices and Supervision, Child and Adolescent Psychosocial and Emotional Development, Psychometric Methodologies and Testing.
| 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', Measurement and Evaluation in Counseling and Development, 12(3), pp. 45–58.
Formats any DOI in Measurement and Evaluation in Counseling and Development style. No sign-up. |
| Publishes research in | Counseling Practices and Supervision Child and Adolescent Psychosocial and Emotional Development Psychometric Methodologies and Testing Career Development and Diversity Educational and Psychological Assessments |
| ISSN | 0748-1756 |
| Citation impact (2-yr) | 3.86 |
| h-index | 84 |
| i10-index | 491 |
| Total citations | 34,197 |
| Top institutions publishing here | Loyola University Maryland |
| Journal website | mec.sagepub.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Measurement and Evaluation in Counseling and Development per year
Citation impact of Measurement and Evaluation in Counseling and Development by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Measurement and Evaluation in Counseling and Development
The content validity ratio originally proposed by Lawshe is widely used to quantify content validity and yet methods used to calculate the original critical values were never reported. Methods for original calculation of critical values are suggested along with tables of exact binomial probabilities.
This article describes the logic and procedures behind testing for factorial invariance across groups in the context of construct validation. The procedures include testing for configural, measurement, and structural invariance in the framework of multiple-group confirmatory factor analysis (CFA). The forward (sequential constraint imposition) approach to testing for factorial invariance is described and illustrated for…
This article describes the development of the Almost Perfect Scale—Revised (APS—R). Exploratory and confirmatory factor analyses and data exploring the reliability and construct validity of the subscales are provided. The results support the existence of 3 subscales with adequate internal consistencies and promising relationships with other relevant measures.
Although often ignored, reliability is critical when interpreting study effects and test results. Accordingly, this article focuses on the most commonly used estimate of reliability, internal consistency coefficients, with emphasis on coefficient alpha. An interpretive framework is provided for applied researchers and others seeking a conceptual understanding of these estimates.