The Methodology of Research on College Impact, Part One.
This first in a two-part series of tapers is concerned with the following aspects of the methodology of research on college impact: different types of inferential errors, single-institution versus multi-institutional studies, longitudinal versus cross-sectional data, alternative statistical designs,...
| Publicado en: | Sociology of Education Vol. 43; no. 3; pp. 223 - 255 |
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| Formato: | Artículo |
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Sage Publications Inc.
Summer70
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=13008207&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 13008207 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00380407 SOO jtl: Sociology of Education issn: 00380407 maglogo: Y pubinfo: dt: Summer70 vid: 43 iid: 3 pid: 344 pub: Sage Publications Inc. artinfo: ui: 13008207 10.2307/2112065 ppf: 223 ppct: 32 formats: tig: atl: The Methodology of Research on College Impact, Part One. aug: su: Regression analysis Universities & colleges Longitudinal method Multivariate analysis Analysis of variance Mathematical statistics sug: subj: Regression analysis Universities & colleges Longitudinal method Multivariate analysis Analysis of variance Mathematical statistics ab: This first in a two-part series of tapers is concerned with the following aspects of the methodology of research on college impact: different types of inferential errors, single-institution versus multi-institutional studies, longitudinal versus cross-sectional data, alternative statistical designs, the effects of measurement errors, and methods of detecting student-environment interaction effects. The most definitive information about college impact is obtained from multi-institutional longitudinal studies in which data are obtained on student inputs, student outputs, and environmental characteristics. Although there are several multivariate designs available for dealing with such data, stepwise linear multiple regression analysis (with appropriate adjustments for measurement errors) is perhaps the most versatile method, particularly if the regression is carried out in separate "stages" dictated by the logic of the college impact process. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 1970 holdings: @attributes: islocal: N |
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