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Statistical assumptions of substantive analyses across the general linear model: a mini-review

Description: This article seeks to support researchers by concisely reviewing key statistical assumptions associated with substantive statistical tests across the general linear model. Additionally, the article reviews techniques to check for statistical assumptions and identifies remedies and problems if data do not meet the necessary assumptions.
Date: August 28, 2012
Creator: Nimon, Kim F.
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open access

Tools to support interpreting multiple regression in the face of multicollilnearity

Description: This article argues that rather than using one technique to investigate regression results, researchers should consider multiple indices to understand the contributions that predictors make not only to a regression model, but to each other as well.
Date: March 14, 2012
Creator: Kraha, Amanda; Turner, Heather; Nimon, Kim F.; Zientek, Linda Reichwein & Henson, Robin K.
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