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Masters, Ryan K.; Hummer, Robert A.; Powers, Daniel A. – American Sociological Review, 2012
We use hierarchical cross-classified random-effects models to simultaneously measure age, period, and cohort patterns of mortality risk between 1986 and 2006 for non-Hispanic white and non-Hispanic black men and women with less than a high school education, a high school education, and more than a high school education. We examine all-cause…
Descriptors: Models, Cohort Analysis, Females, Males
Blikstein, Paulo; Worsley, Marcelo; Piech, Chris; Sahami, Mehran; Cooper, Steven; Koller, Daphne – Journal of the Learning Sciences, 2014
New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…
Descriptors: Programming, Computer Science Education, Learning Processes, Introductory Courses
Whitmarsh, Lona; Wentworth, Diane Keyser – Career Development Quarterly, 2012
Career development research has often explored gender differences in and development of career patterns (Gottfredson, 2006). Hyde's (2005) meta-analysis indicated that men and women shared more similarities than differences. Applying Hyde's gender similarities hypothesis to careers, the authors conducted a 2-stage study. Stage 1 was an analysis of…
Descriptors: Career Development, Research, Gender Differences, Pattern Recognition