NotesFAQContact Us
Collection
Advanced
Search Tips
50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 7 results
Peer reviewed Peer reviewed
Direct linkDirect link
Miller, Jon D.; Pearson, Willie, Jr. – Peabody Journal of Education, 2012
In this article we use data from the Longitudinal Study of American Youth to examine the influence of parent education on pathways to science, technology, engineering, mathematics, and medicine (STEMM) professions. Building on a general model of factors related to STEMM education and employment, we employ a two-group structural equation model to…
Descriptors: Postsecondary Education, Employment, Educational Attainment, Parent Education
Peer reviewed Peer reviewed
Direct linkDirect link
Miller, Jon D.; Kimmel, Linda G. – Peabody Journal of Education, 2012
The inadequate number of American young adults selecting a scientific or engineering profession continues to be a major national concern. Using data from the 23-year record of the Longitudinal Study of American Youth (LSAY) and working within the social learning paradigm, this analysis uses a set of 21 variables to predict young people's…
Descriptors: Socialization, Structural Equation Models, Young Adults, Longitudinal Studies
Peer reviewed Peer reviewed
Direct linkDirect link
Pearson, Willie, Jr.; Miller, Jon D. – Peabody Journal of Education, 2012
Utilizing data from the 20-year record of the Longitudinal Study of American Youth (LSAY), this analysis uses a set of variables to predict employment in engineering for a national sample of adults aged 34 to 37. The LSAY is one of the longest longitudinal studies of the impact of secondary education and postsecondary education conducted in the…
Descriptors: Education Work Relationship, Engineering, Longitudinal Studies, Calculus
Peer reviewed Peer reviewed
Direct linkDirect link
Fuchs, Bruce A.; Miller, Jon D. – Peabody Journal of Education, 2012
Physicians and other health professionals are an important part of the national scientific and technical workforce, and it is important to understand the factors that attract (or fail to attract) young adults into these fields. Using data from the 20-year record of the Longitudinal Study of American Youth (LSAY) and working within a social…
Descriptors: Socialization, Health Occupations, Career Choice, Physicians
Peer reviewed Peer reviewed
Direct linkDirect link
Miller, Jon D.; Solberg, V. Scott – Peabody Journal of Education, 2012
This article argues for the need to differentiate between "professional" and "support" careers in fields of science, technology, engineering, mathematics, and medicine (STEMM). Using data from the Longitudinal Study of American Youth (LSAY), the article identifies important differences in the nature of the work and responsibility that…
Descriptors: Careers, Credentials, Young Adults, Employment Opportunities
Peer reviewed Peer reviewed
Direct linkDirect link
Solberg, V. Scott; Kimmel, Linda G.; Miller, Jon D. – Peabody Journal of Education, 2012
The preceding articles in this issue of the "Peabody Journal of Education" have focused on preparation for and entry into professional positions in science, technology, engineering, mathematics, and medicine (STEMM). This article shifts the focus from professional positions to STEMM support occupations, focusing on the preparation necessary for…
Descriptors: Employment Qualifications, Young Adults, STEM Education, Career Choice
Peer reviewed Peer reviewed
Direct linkDirect link
Kimmel, Linda G.; Miller, Jon D.; Eccles, Jacquelynne S. – Peabody Journal of Education, 2012
In this article we examine gender differences in factors related to science, technology, engineering, mathematics, and medicine (STEMM) education and employment between the ages of 36 and 39. Using data from the Longitudinal Study of American Youth, we identified a STEMM high school talent pool. We found early gender differences in interest in…
Descriptors: Structural Equation Models, Young Adults, STEM Education, Gender Differences