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Key Challenges and Some Guidance on Using Strong Quantitative Methodology in Education Research
Article reviews several common areas of focus in quantitative methods with the hope of providing guidance on conducting and reporting quantitative analyses. The review addresses causal inferences, measurement issues, handling missing data, testing for assumptions, dealing with nested data, and providing evidence for outcomes.
Date:
November 13, 2020
Creator:
Henson, Robin K.; Stewart, Genéa & Bedford, Lee A.
System:
The UNT Digital Library
Tools to support interpreting multiple regression in the face of multicollilnearity
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.
System:
The UNT Digital Library