Career Patterns: A Twenty-Year Panel Study
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| Title: | Career Patterns: A Twenty-Year Panel Study |
|---|---|
| Language: | English |
| Authors: | Biemann, Torsten, Zacher, Hannes, Feldman, Daniel C. |
| Source: | Journal of Vocational Behavior. Oct 2012 81(2):159-170. |
| Availability: | Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com |
| Peer Reviewed: | Y |
| Page Count: | 12 |
| Publication Date: | 2012 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Employment, Occupational Mobility, Career Development, Predictor Variables, Age Differences, Gender Differences, Marital Status, Children, Education, Public Sector, Longitudinal Studies, Foreign Countries |
| Geographic Terms: | Germany |
| DOI: | 10.1016/j.jvb.2012.06.003 |
| ISSN: | 0001-8791 |
| Abstract: | Using 20years of employment and job mobility data from a representative German sample (N = 1259), we employ optimal matching analysis (OMA) to identify six career patterns which deviate from the traditional career path of long-term, full-time employment in one organization. Then, in further analyses, we examine which socio-demographic predictors affect whether or not individuals follow that traditional career path. Results indicate that age, gender, marital status, number of children, education, and career starts in the public sector significantly predicted whether or not individuals followed the traditional career path. The article concludes with directions for future theoretical and methodological research on career patterns. (Contains 3 figures and 5 tables.) |
| Abstractor: | As Provided |
| Entry Date: | 2012 |
| Accession Number: | EJ983814 |
| Database: | ERIC |
| Abstract: | Using 20years of employment and job mobility data from a representative German sample (N = 1259), we employ optimal matching analysis (OMA) to identify six career patterns which deviate from the traditional career path of long-term, full-time employment in one organization. Then, in further analyses, we examine which socio-demographic predictors affect whether or not individuals follow that traditional career path. Results indicate that age, gender, marital status, number of children, education, and career starts in the public sector significantly predicted whether or not individuals followed the traditional career path. The article concludes with directions for future theoretical and methodological research on career patterns. (Contains 3 figures and 5 tables.) |
|---|---|
| ISSN: | 0001-8791 |
| DOI: | 10.1016/j.jvb.2012.06.003 |
