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PL
EN
BibTeX
PN-ISO 690:2012
Chicago
Chicago (Author-Date)
Harvard
ACS
ACS (no art. title)
IEEE
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Journal
Śląski Przegląd Statystyczny
2020
|
18 (24)
| 263-268
Article title
Correlation and regression models in the Dyadic Data Analysis
Authors
Kozyra Cyprian
Content
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Title variants
Languages of publication
EN
Abstracts
Keywords
EN
Dyadic Data Analysis
correlation and regression models
local government official statistics data
Publisher
Uniwersytet Ekonomiczny we Wrocławiu. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Journal
Śląski Przegląd Statystyczny
Year
2020
Issue
18 (24)
Pages
263-268
Physical description
Contributors
author
Kozyra Cyprian
cyprian.kozyra@ue.wroc.pl
Wroclaw University of Economics and Business, Poland
References
Dobos, I., & Gelei, A. (2019). Empirically Supported Methodological Critique of Double Entry in Dyadic Data Analysis. Statistika, 2, 198-2017.
Griffin, D., & Gonzalez, R. (1995). Correlational analysis of dyad-level data in the exchangeable case. Psychological Bulletin, 118, 430-439.
Gonzalez, R., & Griffin, D. (1999). The correlational analysis of dyad-level data in the distinguishable case. Personal Relationships, 6, 449-469.
Kenny, D. A. (1995). The effect of nonindependence on significance testing in dyadic research. Personal Relationships, 2, 67-75.
Kenny, D. A. (1996). Models of nonindependence in dyadic research. Journal of Social and Personal Relationships, 13, 279-294.
Kenny, D. A., Kashy, D. A., & Cook, W. (2006). Dyadic data analysis. New York: Guilford.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-6d7656b8-6e29-4425-b488-c06c43413868
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