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ERIC Number: EJ1228024
Record Type: Journal
Publication Date: 2019-Oct
Pages: 26
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0251-2513
EISSN: N/A
Using the Log-Linear Cognitive Diagnosis Model to Classify Individuals in Career and Educational Assessment
Xing, Xue
International Journal for Educational and Vocational Guidance, v19 n3 p497-522 Oct 2019
The log-linear cognitive diagnosis model (LCDM) is a modern technique that dichotomously classifies individuals (e.g., possession and non-possession) on attributes of a multidimensional construct, which is particularly suited to diagnostic and formative assessments where a classification decision is desired (e.g., to assign intervention or not). This article provides a tutorial for conducting analyses using the LCDM and illustrates an application in career assessment with simulated data to showcase the unique types of diagnostic feedback the LCDM provides. The article concludes with a discussion of the ideal contexts in which to apply the model and its implications in career and educational assessment.
Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A