ADMINISTRATIVE ROLES AND PERCEPTIONS OF GOVERNANCE IN THE COMMUNITY COLLEGE     

William D. Cohen  Bernard Bleha  Steven G. Olswang 《Community College Journal of Research & Practice》2013,37(4):303-321

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TWO‐YEAR COLLEGE ATTRITION: DO STUDENT OR INSTITUTIONAL CHARACTERISTICS CONTRIBUTE MOST?     

Anne G. Gates  Don G. Creamer 《Community College Journal of Research & Practice》2013,37(1-4):39-51

This study examined certain effects of seven student pre‐enrollment characteristics and three student‐institutional characteristics on retention status. Path analysis of these longitudinal data was unable to compare favorably with other studies using similar determinants. Certain practical implications of the study also are presented, emphasizing the burden of evidence that suggests that entering student characteristics cannot be used alone to explain the retention decision, that retention programs should be strategically rather than generically focused, and that program holding power may be related to student career consciousness and goal specificity.  相似文献   

Promoting Completion Through Organizational Development and Process Improvement     

Kevin M. David  Angela D. Sivadon  Donna G. Wood  Sarah L. Stecher 《Community College Journal of Research & Practice》2013,37(11):1074-1078

In 2007, Tulsa Community College (TCC) joined the national Achieving the Dream (ATD) network, which is dedicated to developing data-informed interventions to increase persistence and completion among community college students. TCC’s participation in the national initiative set it down a path for positive institutional change, but it was the College’s restructuring of their internal work teams and their process improvements since 2011–2012 that have resulted in a sustainable system that will help retain knowledge and ensure successful leadership transitions. In 2013, TCC rebranded its modified ATD system as Completing the Dream, combining the goals of Complete College America with the action research principles of Achieving the Dream. Because of these efforts, the College is in a stronger position today than it has ever been to serve our students using evidence-based strategies, ultimately resulting in more college-educated citizens in the Tulsa area.  相似文献   

Social Media,Higher Education,and Community Colleges: A Research Synthesis and Implications for the Study of Two-Year Institutions     

Patricia G. Boyer 《Community College Journal of Research & Practice》2013,37(5):409-420

This research project used a large database to examine factors associated with full-time faculty at 2-year institutions who have secured or not secured external funds. Specifically, the research examined demographic characteristics and other variables of faculty at 2-year institutions.  相似文献   

The surprising viability of a simple alternate estimation procedure for construction of large‐scale structural equation measurement models     

David W. Gerbing  Janet G. Hamilton 《Structural equation modeling》2013,20(2):103-115

As part of developing a comprehensive strategy for structural equation model building and assessment, a large‐scale Monte Carlo study of 7,200 covariance matrices sampled from 36 population models was conducted. This study compared maximum likelihood with the much simpler centroid method for the confirmatory factor analysis of multiple‐indicator measurement models. Surprisingly, the contribution of maximum likelihood to model analysis is limited to formal evaluation of the model. No statistically discernible differences were obtained for the bias, standard errors, or mean squared error (MSE) of the estimated factor correlations, and empirically obtained maximum likelihood standard errors for the pattern coefficients were only slightly smaller than their centroid counterparts. Further supporting the recommendations of Anderson and Gerbing (1982), the considerably faster centroid method may have a useful role in the analysis of these models, particularly for the analysis of large models with 50 or more input variables. These results encourage the further development of a comprehensive research paradigm that exploits the relative strengths of both centroid and maximum likelihood as complementary estimation procedures along an integrated exploratory‐confirmatory continuum of model specification, revision, and formal evaluation.  相似文献   

An Early History of the Rural Community College Initiative: Reflections on the Past and Implications for the Future     

Mike Kennamer  Stephen G. Katsinas 《Community College Journal of Research & Practice》2013,37(3):234-251

The $17.2 million Rural Community College Initiative (RCCI) demonstration grant program funded by the Ford Foundation which ran from 1994 to 2001 represents the largest philanthropic project specifically aimed at rural community colleges in United States history. While a good deal of literature has been published about this initiative, much was specifically commissioned by the foundation and can be seen as coming from a public relations perspective. This paper provides a historical perspective from an independent point of view. Its purpose is to create a documentary record for future community college leaders and potential funders interested in reaching the nation's 553 rural community colleges.  相似文献   

Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation     

Carlos G. Forero  Alberto Maydeu-Olivares  David Gallardo-Pujol 《Structural equation modeling》2013,20(4):625-641

Factor analysis models with ordinal indicators are often estimated using a 3-stage procedure where the last stage involves obtaining parameter estimates by least squares from the sample polychoric correlations. A simulation study involving 324 conditions (1,000 replications per condition) was performed to compare the performance of diagonally weighted least squares (DWLS) and unweighted least squares (ULS) in the procedure's third stage. Overall, both methods provided accurate and similar results. However, ULS was found to provide more accurate and less variable parameter estimates, as well as more precise standard errors and better coverage rates. Nevertheless, convergence rates for DWLS are higher. Our recommendation is therefore to use ULS, and, in the case of nonconvergence, to use DWLS, as this method might converge when ULS does not.  相似文献   

Detecting Misspecification in Mean Structures for Growth Curve Models: Performance of Pseudo R 2s and Concordance Correlation Coefficients     

Wei Wu  Stephen G. West 《Structural equation modeling》2013,20(3):455-478

This study examined the performance of 4 correlation-based fit indexes (marginal and conditional pseudo R ²s; average and conditional concordance correlations) in detecting misspecification in mean structures in growth curve models. Their performance was also compared to that of 4 traditional SEM fit indexes. We found that the marginal pseudo R ² and average concordance correlation were able to detect misspecification in the marginal mean structure (average change trajectory). The conditional pseudo R ² and concordance correlation could detect misspecification when it occurred in the conditional mean structure (individual change trajectory) or in both mean structures. Compared to the SEM fit indexes, the correlation-based fit indexes were more robust to sample size but were less robust to data properties such as magnitude of population mean and measurement error. Theoretical and practical implications of the results and directions for future research are discussed.  相似文献   

Tolerance for Diversity of Beliefs: Learning about Tolerance and Liking It Too     

Sandra Wood  Kristina Thalhammer  John L. Sullivan  Karen Bird  Patricia G. Avery  Kate Klein 《Review of Education, Pedagogy & Cultural Studies》2013,35(3-4):349-372

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Cultural Studies in Turkey: Education and Practice     

Gönül Pultar  Ayşe Lahur Kırtunç 《Review of Education, Pedagogy & Cultural Studies》2013,35(2-3):129-153

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