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Perna, Laura W.; Leigh, Elaine W. – Educational Researcher, 2018
Over the past decade, but especially in the past few years, programs with a "promise" label have been advanced at the local, state, and federal levels. To advance understanding of the design, implementation, and impact of the many different versions of emerging programs, policymakers, practitioners, and researchers need an organizing…
Descriptors: Classification, College Programs, Multivariate Analysis, Policy Analysis
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
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Tan, David L. – Research in Higher Education, 1992
A study used a multivariate approach to assessing college departmental excellence. Factor analysis identified three potentially useful factor clusters ("faculty research,""input," and "student") and seven indicators based on those clusters. Indicators combining faculty research and input and combining all three clusters were found to be the best…
Descriptors: Departments, Educational Quality, Evaluation Criteria, Faculty Publishing
Peterson, Karen L. – 1983
A study identified the variables affecting the vocational choice of college women. During the research project, a 97-item instrument entitled the Work Interest Questionnaire (WIQ) was developed and administered to 437 undergraduate female students enrolled at a large Midwestern university. The subjects were selected based on their varying fields…
Descriptors: Career Choice, College Students, Decision Making, Females
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Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics