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Download full textNational Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
National Centre for Vocational Education Research (NCVER), 2012
Developed for users of the Longitudinal Surveys of Australian Youth (LSAY), this user guide consolidates information about the LSAY 2009 cohort into one document. The guide aims to address all aspects of the LSAY data including: how to access the data; data restrictions; variable naming conventions; the structure of the data; documentation;…
Descriptors: Foreign Countries, Employment, Classification, Longitudinal Studies
National Centre for Vocational Education Research (NCVER), 2010
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. This "User guide" has been developed for users of the LSAY data. The guide endeavours to consolidate existing technical documentation and other relevant information…
Descriptors: Longitudinal Studies, Youth, Foreign Countries, Guides
National Centre for Vocational Education Research (NCVER), 2009
The Longitudinal Surveys of Australian Youth (LSAY) is a research program that tracks young people as they move from school into further study, work and other destinations. It uses large, nationally representative samples of young people to collect information about education and training, work, and social development. It includes surveys…
Descriptors: Educational Attainment, Foreign Countries, Youth, Social Development
Peer reviewedReuterberg, Sven-Eric – Scandinavian Journal of Educational Research, 1985
To reduce problems in comparing gains in the rate of students who progress to the next level of education, a nonlinear transformation is recommended. Two such transformations, probits and logits, are presented. Log linear models are recommended for an appropriate statistical test of sampling error. (Author/GDC)
Descriptors: Educational Attainment, Elementary Secondary Education, Enrollment Influences, Enrollment Projections
Peer reviewedJencks, Christopher; And Others – Sociology of Education, 1983
Data from Project Talent are utilized to assess the representativeness of the samples used in the Wisconsin and the Exploration in Equality of Opportunity (EEO) surveys. Adequacy of the measures of academic aptitude and aspiration used in the surveys are examined, and problems with the Wisconsin model are briefly discussed. (RM)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration
