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Focus on psychometrics. Aspects of item analysis
Abstract
During the course of instrument development, investigators are faced with the challenge of developing a psychometrically sound instrument that has a minimal number of items or components. Although instrument developers may encounter specific problems in relation to different types of tests, there are three areas of concern that are frequently encountered. These concerns relate to (a) instrument length, (b) scale homogeneity, and (c) instrument sensitivity. The purpose of this article is to discuss selected aspects of item analysis in relationship to these three commonly encountered and interrelated areas of concern.
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Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
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Exploring influencing variables for the acceptance of social robots
de Graaf, M. M. A., & Ben Allouch, S. (2013) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2013.07.007 · Cited by 499
Validation of a Korean Version of the Insomnia Severity Index
Cho, Y. W., Song, M. L., & Morinc, C. M. (2014) · Journal of Clinical Neurology · doi:10.3988/jcn.2014.10.3.210 · Cited by 472
Psychometric evaluation of the Arabic version of the Fear of COVID-19 Scale
Alyami, M., Henning, M., Krägeloh, C. U., & Alyami, H. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00316-x · Cited by 313
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Metadata
- Authors
- Ferketich, S.
- Venue
- Research in Nursing & Health
- Publisher
- Wiley
- Published
- 1991-01
- Volume
- 14
- Issue
- 2
- Pages
- 165-168
- ISSN
- 0160-6891 (ISSN-L)
- 1098-240X
- OpenAlex
- W1994183663
- Cited by
- 898
- References
- 1
- FWCI
- 0.65
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.