A Quantitative Assessment of the Effect of a Pre-Apprenticeship on an Apprenticeship Completion -- Support Document
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| Title: | A Quantitative Assessment of the Effect of a Pre-Apprenticeship on an Apprenticeship Completion -- Support Document |
|---|---|
| Language: | English |
| Authors: | Craig Hansen, Melinda Lees, National Centre for Vocational Education Research (NCVER) (Australia) |
| Source: | National Centre for Vocational Education Research (NCVER). 2025. |
| Availability: | National Centre for Vocational Education Research Ltd. P.O. Box 8288, Stational Arcade, Adelaide, SA 5000, Australia. Tel: +61-8-230-8400; Fax: +61-8-212-3436; e-mail: ncver@ncver.edu.au; Web site: http://www.ncver.edu.au |
| Peer Reviewed: | N |
| Page Count: | 64 |
| Publication Date: | 2025 |
| Sponsoring Agency: | Australian Government Department of Employment and Workplace Relations |
| Document Type: | Reports - Research Numerical/Quantitative Data |
| Descriptors: | Apprenticeships, Value Judgment, Student Attitudes, Employer Attitudes, Program Effectiveness, Job Skills, Job Training, Career and Technical Education, Career Pathways, Readiness, Work Experience Programs, Foreign Countries, Graduation Rate, Probability |
| Geographic Terms: | Australia |
| Abstract: | This support document accompanies the research report, "Understanding the Value of Pre-Apprenticeships," which examines the effect of pre-apprenticeship programs on apprenticeship completions and the value that both students and employers place on pre-apprenticeship programs in helping students to obtain successful apprenticeship outcomes. The purpose of this document is to provide a technical discussion of the approaches to quantitative data extraction and transformation used in this research, an explanation of the quantitative research methodologies applied, and a detailed presentation of the results of the analyses. This document serves as a tool for readers seeking a deeper understanding of the quantitative research findings by providing: (1) a description of the data sources; (2) the extraction and transformation processes; (3) the research methodologies; and (4) the analytical techniques used in the study. |
| Abstractor: | ERIC |
| Entry Date: | 2025 |
| Accession Number: | ED677364 |
| Database: | ERIC |
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