Regression Commonality Analysis: Demonstration of an SPSS Solution
By Kim F. Nimon. 2010
90 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7c1ba617b3fe11a3537a718c6afc1eb9719e8e41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Miles Richardson
- Kim F. Nimon
- F. Oswald
- Amanda Kraha
- Holli-Anne Passmore
- R. Lumber
- Laura L. Nathans
- Heather J. Turner
Citations in the corpus
- Moments, not minutes: The nature-wellbeing relationship (2021, methodology): “Thus, to assess the individual and unique contributions of these three nature factors with regard to explained variance of our four aspects of wellbeing, we conducted a series of commonality analyses (Nimon, 2010) utilizing Nimon’s SPSS syntax.”
- Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity (2012, methodology): “Because CA identifies the unique contribution that each predictor and all possible combinations of predictors make to the regression effect, it is particularly helpful when suppression or multicollinearity is present (Nimon, 2010; Zientek and Thompson, 2010; Nimon and Reio, 2011).”
- Interpreting Multiple Linear Regression: A Guidebook of Variable Importance (2012, methodology): “However, software in PASW (Nimon, 2010) and R (Nimon, Lewis, Kane, & Haynes, 2008) exists to compute these coefficients.”
- The green care code: How nature connectedness and simple activities help explain pro‐nature conservation behaviours (2020, methodology): “Commonality analysis provides a more thorough understanding of regression analysis because it partitions the explained variance based on the unique and nonunique contributions of each variable (Nimon, 2010; Nimon, Lewis, Kane, & Haynes, 2008; Ray-Mukherjee et al., 2014).”