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ERIC Number: EJ801245
Record Type: Journal
Publication Date: 2008-Jun
Pages: 12
Abstractor: As Provided
Reference Count: 16
ISSN: ISSN-0022-0787
Assessing the Effectiveness of Statistical Classification Techniques in Predicting Future Employment of Participants in the Temporary Assistance for Needy Families Program
Montoya, Isaac D.
Journal of Employment Counseling, v45 n2 p67 Jun 2008
Three classification techniques (Chi-square Automatic Interaction Detection [CHAID], Classification and Regression Tree [CART], and discriminant analysis) were tested to determine their accuracy in predicting Temporary Assistance for Needy Families program recipients' future employment. Technique evaluation was based on proportion of correctly predicted cases and 6 other criteria. Sustained employment was associated with both recipients' subjective work-related skills assessments and their objective test scores, and with their educational levels and marital status. Correct case classification by model was 74% for CHAID, 75% for CART, and 68% for discriminant analysis. Results suggest these classification tools can be useful supplements in assessments of clients' employment potentials. (Contains 4 tables.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Laws, Policies, & Programs: Personal Responsibility and Work Opportunities Reconciliation Act; Temporary Assistance for Needy Families
Identifiers - Assessments and Surveys: National Longitudinal Survey of Youth; Armed Forces Qualification Test