Career Patterns: A Twenty-Year Panel Study

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Bibliographic Details
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
FullText Text:
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  Data: Career Patterns: A Twenty-Year Panel Study
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  Data: <searchLink fieldCode="AR" term="%22Biemann%2C+Torsten%22">Biemann, Torsten</searchLink><br /><searchLink fieldCode="AR" term="%22Zacher%2C+Hannes%22">Zacher, Hannes</searchLink><br /><searchLink fieldCode="AR" term="%22Feldman%2C+Daniel+C%2E%22">Feldman, Daniel C.</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+Vocational+Behavior%22"><i>Journal of Vocational Behavior</i></searchLink>. Oct 2012 81(2):159-170.
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  Data: 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
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  Data: <searchLink fieldCode="DE" term="%22Employment%22">Employment</searchLink><br /><searchLink fieldCode="DE" term="%22Occupational+Mobility%22">Occupational Mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Development%22">Career Development</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Age+Differences%22">Age Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+Differences%22">Gender Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Marital+Status%22">Marital Status</searchLink><br /><searchLink fieldCode="DE" term="%22Children%22">Children</searchLink><br /><searchLink fieldCode="DE" term="%22Education%22">Education</searchLink><br /><searchLink fieldCode="DE" term="%22Public+Sector%22">Public Sector</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+Studies%22">Longitudinal Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Germany%22">Germany</searchLink>
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  Data: 10.1016/j.jvb.2012.06.003
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  Data: 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.)
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      – SubjectFull: Employment
        Type: general
      – SubjectFull: Occupational Mobility
        Type: general
      – SubjectFull: Career Development
        Type: general
      – SubjectFull: Predictor Variables
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      – SubjectFull: Age Differences
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      – SubjectFull: Gender Differences
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      – SubjectFull: Marital Status
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      – SubjectFull: Children
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      – SubjectFull: Education
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      – SubjectFull: Public Sector
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      – SubjectFull: Longitudinal Studies
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Germany
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