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  • Articles  (2)
  • Nature of Science, Research, Systems of Higher Education, Museum Science  (2)
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Research in higher education 14 (1981), S. 71-85 
    ISSN: 1573-188X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Nature of Science, Research, Systems of Higher Education, Museum Science
    Notes: Abstract A research program is suggested that integrates Admissions procedures and methods of statistical analysis to study the first stage of the Admissions selection process: the rating of applicants. To form the base for evaluation research, a systematic procedure is described that provides an index of applicant “quality” in the light of institutional goals. Then the rating process itself is explored using a Path Model to measure the contributions of background and achieved characteristics of applicants to their rating. How questions of bias may be raised and pursued is discussed. Applicants are profiled in segments to show how the effects of policy adjustments may be monitored. For doing marketing research, quality-by-enrollment status segments are defined. Using factor analysis models, an analysis of image variance is applied. Next, a discriminant analysis is used to isolate those institutional attributes that most influence higher quality applicants to enroll. Some specifics of a differentiated policy are given in examples. Implications of this integrated approach are discussed.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Research in higher education 16 (1982), S. 195-208 
    ISSN: 1573-188X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Nature of Science, Research, Systems of Higher Education, Museum Science
    Notes: Abstract In a time when most post-secondary educational institutions must distribute limited resources more efficiently, segmentation analysis affords a way to direct planning to yield strategic benefits. The Automatic Interaction Detector is recommended to the institutional research community as an analytical tool for effectively identifying distinctive subgroups within an educational market. In this application, AID is used to segment the Boston College applicant pool according to subgroups' relative probabilities of enrolling. The findings illustrate that AID can make a useful contribution to market research and that the technique has broader applicability—to other student groups and to other educational policy questions.
    Type of Medium: Electronic Resource
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