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Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy

Whiteley, Meredith A.; Stage, Frances K. – New Directions for Institutional Research, 1987
The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)
Descriptors: College Planning, Comparative Analysis, Data Interpretation, Higher Education

Brinkman, Paul T.; Teeter, Deborah J. – New Directions for Institutional Research, 1987
Institutional comparison groups can be selected in several ways, depending on the comparison issue. The method chosen involves both technical and political considerations. (Author/MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Higher Education
Raatz, Ulrich – 1985
The use of factor analysis in examining the dimensionality of language tests is questioned and found to be problematic because it has a number of weak points which make it possible to manipulate results. Some of these weaknesses occur in the examinee selection sample, test selection, and the methods of extraction and rotation chosen. The use of…
Descriptors: Comparative Analysis, Data Interpretation, Evaluation Methods, Factor Analysis
Bezuidenhout, J. J. – 1986
The purpose of this research project was to compile and analyze data concerning the composition and geographic distribution of South Africa's population for the purpose of future educational planning to meet the needs of four population groups. This document contains statistics and conclusions on: (1) the role of population shifts and…
Descriptors: Comparative Analysis, Comparative Education, Data Analysis, Data Interpretation
Hiroto, Nagato – 1997
Designed for language teachers who find reading statistical research difficult but necessary, this article focuses on the minimal knowledge needed about statistical techniques for interpreting research findings. It first examines the statistical reasoning underlying quantitative, empirical studies, including normal distribution, standard…
Descriptors: Classroom Research, Classroom Techniques, Comparative Analysis, Data Interpretation

Lipetz, Ben-Ami; Paulson, Peter J. – Library Trends, 1987
Reports the rationale, design, implementation, and results of an examination of the impact of online subject catalogs on users by comparing their behaviors before and after catalog installation. Evaluation criteria included volume of use, types of searches, use of other catalogs, search time, user satisfaction, and need for assistance. (CLB)
Descriptors: Comparative Analysis, Data Interpretation, Evaluation Criteria, Evaluation Methods
Books, Marilyn – 1997
A discussion of in-depth interviewing as a method for research on language teaching and learning situates the technique within the continuum of research methodology and differentiates it from quantitative research methods. The strengths and weaknesses of in-depth interviewing are examined, methods of sampling are discussed, and advice on the…
Descriptors: Classroom Research, Classroom Techniques, Comparative Analysis, Data Collection
Lehman, Penny W.; And Others – 1992
The Community College Student Experiences Questionnaire (CCSEQ) is an instrument designed to determine how community college students spend their time and what quality of effort they put into learning. Specifically, the content of the questionnaire focuses on four elements: who students are and why they are at the college; how extensively and…
Descriptors: College Environment, Community Colleges, Comparative Analysis, Data Collection