标题：A Comparison of Partial Least Squares (PLS) and Ordinary Least Squares (OLS) regressions in predicting of couples mental health based on their communicational patterns
摘要：AbstractPurpose:The Goal of this study is to compare two regression models (PLS and OLS) in order to determine which one is more robust in a study of predicting couples mental healthMethod:The data used in this study are those driven from the study conducted by Imaninezhed te.al (2009). Total sample was 100 couples, the missing data were 10% and VIF≥10 and low tolerance)Result:In the result of the OLS regression, R2is 6.4% (p=0.001) and R2of regression model with centralized data is 10. 4% and adjusted R2regression model with centralized data is 10.4% and adjusted R29.3% (p=0.001.) In the PLS regression two components yields, R2and predicted R2were 70% and 49.4% respectivelyConclusion:these findings indicated that the PLS model provides much more stable results than the OLS model when sample size is small and there are data missing values and multicollinearity.
关键词：Partial least Squares (PLS) Regression;Ordinary least squares (OLS) regression mental health;communicational patterns
