A Bayesian Model of Choice Among Higher Education Institutions [electronic resource] / Stephen J. Carroll and Daniel A. Relles.
Examined are methodologies for modeling students' choices among higher education institutions. A statistical technique called "conditional logit analysis" is applicable to the problem studied. These applications are reviewed and certain weaknesses inherent in the approach are pointed...
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| Format: | Electronic eBook |
| Language: | English |
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[S.l.] :
Distributed by ERIC Clearinghouse,
1976.
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MARC
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| 100 | 1 | |a Carroll, Stephen J. | |
| 245 | 1 | 2 | |a A Bayesian Model of Choice Among Higher Education Institutions |h [electronic resource] / |c Stephen J. Carroll and Daniel A. Relles. |
| 260 | |a [S.l.] : |b Distributed by ERIC Clearinghouse, |c 1976. | ||
| 300 | |a 41 p. | ||
| 500 | |a ERIC Document Number: ED126816. | ||
| 500 | |a Availability: Rand, Santa Monica, California 90406. |5 ericd. | ||
| 500 | |a Sponsoring Agency: National Inst. of Education (DHEW), Washington, DC. |5 ericd. | ||
| 500 | |a Sponsoring Agency: Lilly Endowment, Inc., Indianapolis, IN. |5 ericd. | ||
| 500 | |a Contract Number: NIE-G-74-0038. |5 ericd. | ||
| 500 | |a Educational level discussed: Higher Education. | ||
| 520 | |a Examined are methodologies for modeling students' choices among higher education institutions. A statistical technique called "conditional logit analysis" is applicable to the problem studied. These applications are reviewed and certain weaknesses inherent in the approach are pointed out. Alternative approaches are offered, based on the use of Bayes' Theorum, which is easier to use, more flexible, and less expensive to apply. In empirical tests, it is also observed to have greater predictive power than conditional logit analysis. (Author) | ||
| 650 | 1 | 7 | |a Bayesian Statistics. |2 ericd. |
| 650 | 0 | 7 | |a Comparative Analysis. |2 ericd. |
| 650 | 0 | 7 | |a Data Analysis. |2 ericd. |
| 650 | 1 | 7 | |a Databases. |2 ericd. |
| 650 | 1 | 7 | |a Higher Education. |2 ericd. |
| 650 | 0 | 7 | |a Models. |2 ericd. |
| 650 | 1 | 7 | |a Prediction. |2 ericd. |
| 650 | 1 | 7 | |a Probability. |2 ericd. |
| 650 | 1 | 7 | |a Student Characteristics. |2 ericd. |
| 700 | 1 | |a Relles, Daniel A. | |
| 710 | 2 | |a Rand Corporation. | |
| 856 | 4 | 0 | |z Full Text (via ERIC) |u http://files.eric.ed.gov/fulltext/ED126816.pdf |
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