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Direct linkPike, Gary R. – Research in Higher Education, 2008
Weighting adjustments are used in some studies to compensate for biased estimators produced by survey nonresponse. Using data from the 2004 National Survey of Student Engagement (NSSE) and the NSSE poststratification weighting algorithm, this study found that weighting adjustments were needed for some, but not all institutions. Unfortunately, no…
Descriptors: Weighted Scores, National Surveys, Higher Education, Colleges
Peer reviewedSimpson, William A. – Research in Higher Education, 1988
The balloting procedure whereby candidates are assigned points based upon each voter's ranking can frequently lead to a winner who is not the choice of the majority. The history of the research for a perfect, logical, democratic balloting rule is traced. "Approval voting" is explained. (Author/MLW)
Descriptors: Democratic Values, Higher Education, Majority Attitudes, Personnel Selection
Peer reviewedGardner, Don E. – Research in Higher Education, 1981
The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The basic assumptions and formulas for its use are outlined. The difficulties associated with selecting an appropriate weight factor are discussed, and the potential effect on prediction results is illustrated.…
Descriptors: Colleges, Enrollment Projections, Exponents (Mathematics), Higher Education
Peer reviewedBloom, Allan M. – Research in Higher Education, 1983
A statistical methodology applied to three years of teaching load data from 21 major public universities yields an objective, broadly applicable set of student credit hours (SCH) weight factors. A table of optimum weighting factors for upper division and graduate SCH is presented. (Author/MLW)
Descriptors: College Instruction, Credits, Higher Education, Mathematical Models
Peer reviewedSaaty, Thomas L.; Ramanujam, Vasudevan – Research in Higher Education, 1983
A faculty evaluation system that classified performance factors within a hierarchy and weights each, producing a final composite set for each faculty member, is explained and illustrated. The process is recommended for more objective and consistent decision-making about faculty tenure. (MSE)
Descriptors: College Faculty, Decision Making, Evaluation Criteria, Evaluation Methods
Peer reviewedDey, Eric L. – Research in Higher Education, 1997
A study investigated the effectiveness of a weighting procedure for adjusting survey results to correct for nonresponse bias. Using data from a Cooperative Institutional Research Program followup survey, results indicate that the procedure is highly effective in univariate distributions; its effectiveness in adjusting correlation and regression…
Descriptors: Data Analysis, Followup Studies, Higher Education, Research Methodology
Peer reviewedBentley, Richard J.; And Others – Research in Higher Education, 1990
Ways to improve data comparability among national college faculty surveys are discussed. The surveys and some of their attributes are identified. Faculty sizes are estimated and weights for faculty in selected disciplines and institutions calculated. Weights were designed specifically for surveys conducted in 1969, 1975, 1980, and 1988.…
Descriptors: College Faculty, Comparative Analysis, Databases, Higher Education
