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Martin, Andrew J. – School Psychology Quarterly, 2011
In the context of 7,637 high school students, the present study explored an hypothesized formulation of academic courage (defined as perseverance in the face of academic difficulty and fear) and its role in predicting academic performance (literacy and arithmetic) and various academic engagement measures (planning, task management,…
Descriptors: Structural Equation Models, Outcomes of Education, Academic Achievement, Fear
Schmidt, Henk G.; Cohen-Schotanus, Janke; van der Molen, Henk T.; Splinter, Ted A. W.; Bulte, Jan; Holdrinet, Rob; van Rossum, Herman J. M. – Higher Education: The International Journal of Higher Education and Educational Planning, 2010
In this article, an alternative for Tinto's integration theory of student persistence is proposed and tested. In the proposed theory, time available for individual study is considered a major determinant of both study duration and graduation rate of students in a particular curriculum. In this view, other activities in the curriculum, in…
Descriptors: Medical Schools, Graduation Rate, Structural Equation Models, Lecture Method
College Persistence: Structural Equations Modeling Test of an Integrated Model of Student Retention.

Cabrera, Alberto F.; And Others – Journal of Higher Education, 1993
A study integrated the major propositions of 2 theories of college persistence (Tinto's and Bean's) and used the resulting framework to survey a population of 466 first-year college students at 1 university. Findings supported most of the hypothesized links between the models and revealed a complex role for environmental factors in retention.…
Descriptors: Academic Persistence, College Environment, College Freshmen, College Students

Pike, Gary R.; Kuh, George D. – Journal of Higher Education, 2005
Students today are different from their counterparts of three and four decades ago. Women have outnumbered men for more than 15 years, and the participation rates for members of historically underrepresented groups have made impressive gains. Many of these "new" students are the first in their families to attend college. It is important that these…
Descriptors: Intellectual Development, College Students, First Generation College Students, Individual Characteristics
Bowles, Tyler J.; Jones, Jason – Journal of College Student Retention: Research, Theory & Practice, 2004
Single equation regression models have been used to test the effect of Supplemental Instruction (SI) on student retention. These models, however, fail to account for the two salient features of SI attendance and retention: (1) both SI attendance and retention are categorical variables, and (2) are jointly determined endogenous variables. Adopting…
Descriptors: School Holding Power, Economics Education, Supplementary Education, Academic Persistence