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Purpose: 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, R2 is 6.4% (p=0.001) and R2 of regression model with centralized data is 10. 4% and adjusted R2 regression model with centralized data is 10.4% and adjusted R2 9.3% (p=0.001.) In the PLS regression two components yields, R2 and predicted R2 were 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

procedia - social and behavioral sciences

A Comparison of Partial Least Squares (PLS) and Ordinary Least Squares (OLS) regressions in predicting of couples mental health based on their communicational patterns