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Autor/inn/enMcGrath, Kathleen V.; Leighton, Elizabeth A.; Ene, Mihaela; DiStefano, Christine; Monrad, Diane M.
TitelUsing Integrative Data Analysis to Investigate School Climate across Multiple Informants
QuelleIn: Educational and Psychological Measurement, 80 (2020) 4, S.617-637 (21 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (McGrath, Kathleen V.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0013-1644
DOI10.1177/0013164419885999
SchlagwörterEducational Environment; Meta Analysis; Student Attitudes; Teacher Attitudes; Student Surveys; Teacher Surveys; Data Analysis; Elementary Secondary Education; Elementary Schools; Middle Schools; High Schools; Correlation; Family School Relationship; School Safety; Physical Environment; South Carolina
AbstractSurvey research frequently involves the collection of data from multiple informants. Results, however, are usually analyzed by informant group, potentially ignoring important relationships across groups. When the same construct(s) are measured, integrative data analysis (IDA) allows pooling of data from multiple sources into one data set to examine information from multiple perspectives within the same analysis. Here, the IDA procedure is demonstrated via the examination of pooled data from student and teacher school climate surveys. This study contributes to the sparse literature regarding IDA applications in the social sciences, specifically in education. It also lays the groundwork for future educational researchers interested in the practical applications of the IDA framework to empirical data sets with complex model structures. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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