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A multicollinearity and measurement error statistical blind spot : correcting for excessive false positives in regression and PLS
Goodhue, Dale L.; Lewis, William; Thompson, Ron - In: Management information systems : mis quarterly 41 (2017) 3, pp. 667-684
Persistent link: https://www.econbiz.de/10011740838
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Improving the validity of theory testing in logistics research using correlated components regression
Garver, Michael S.; Williams, Zachary - In: International journal of logistics : research and … 21 (2018) 4, pp. 363-377
Persistent link: https://www.econbiz.de/10011881329
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On the use of spline regression in the study of congruence in organizational research
Edwards, Jeffrey R.; Parry, Mark E. - In: Organizational research methods : ORM 21 (2018) 1, pp. 68-110
Persistent link: https://www.econbiz.de/10011880088
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Understanding the results of multiple linear regression : beyond standardized regression coefficients
Nimon, Kim F.; Oswald, Frederick L. - In: Organizational research methods : ORM 16 (2013) 4, pp. 650-674
Persistent link: https://www.econbiz.de/10010188251
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Residualized relative importance analysis : a technique for the comprehensive decomposition of variance in higher order regression models
LeBreton, James M.; Tonidandel, Scott; Krasikova, Dina V. - In: Organizational research methods : ORM 16 (2013) 3, pp. 449-473
Persistent link: https://www.econbiz.de/10009761158
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A novel robust multivariate regression approach to optimize multiple surfaces
Moslemi, Amir; Seyyed-Esfahani, Mirmehdi - In: RAIRO / Operations research 52 (2018) 4/5, pp. 1233-1243
Persistent link: https://www.econbiz.de/10011987290
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Multivariate multiple regression modelling for technology analysis
Jun, Sunghae; Wood, Jacob; Park, Sangsung - In: Technology analysis & strategic management 30 (2018) 3, pp. 311-323
Persistent link: https://www.econbiz.de/10011808292
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Multivariate regression analysis for the item count technique
Imai, Kosuke - In: Journal of the American Statistical Association : JASA 106 (2011) 494, pp. 407-416
Persistent link: https://www.econbiz.de/10009267771
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Multivariate Regression Shrinkage and Selection by Canonical Correlation Analysis
An, Baiguo - 2012
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for predictors but also for responses. To this end, a novel relationship between multivariate...
Persistent link: https://www.econbiz.de/10013096103
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Multicollinearity : how common factors cause Type 1 errors in multivariate regression
Kalnins, Arturs - In: Strategic management journal 39 (2018) 8, pp. 2362-2385
Persistent link: https://www.econbiz.de/10011973507