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

Procedia - Social and Behavioral Sciences

Volumn 5, Issue , 2010, Pages 1459-1463

  Farahani, Hojjat A ^a   Rahiminezhad, Abbas ^c   Same, Laleh ^b   Immannezhad, Kobra ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b TARBIAT MODARES UNIVERSITY   (Iran)

^c University of Tehran ^*

Author keywords

Communicational patterns; Ordinary least squares (OLS) regression mental health; Partial least Squares (PLS) regression

Indexed keywords

EID: 78549281451     PISSN: 18770428     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.sbspro.2010.07.308     Document Type: Conference Paper

References (10)

1. Abdi, H (2003) Partial least square (PLS) regression. Encyclopedia of social sciences research methods. Thousand Oaks (CA): Sage.
2. Campbell, A & Ntobedzi, A. (2007). Emotional intelligence coping and psychological distress: A partial least square approach to developing a predictive model. Electronic journal of applied psychology, 3, 39-54.
3. Field, A. (2000).Discovering statistics using SPSS for windows .London: Sage.
4. Immannezhad ,K.(2009).An investigation of the relationships between communicational patterns with mental health and marital satisfaction of couple students. Unpublished MA. Thesis in General psychology .University of Tehran.Iran.[persian].
5. Naes ,T & Martens ,H (1985).Comparison of prediction methods for multicollinearity data. Communications is statistics, simulation and computations, 14,545-576.
6. Tabachnich ,B.G., & Fidell ,L.s.(2001) .Using multivariate statistics .Boston: Ellyn and Bacon.
7. Tobias, R.D. (1997).An introduction to partial least squares regression .Cary ,NC :SAS institude.
8. Todman ,J Dugard ,R.(2007).Approaching multivariate analysis .New York psychological press.
9. Tennenhaus,M.( 1998).Pls regression methods. Journal of Chemo metrics, 211-228,.
10. Falk, R.F., Miller, N.B.(1992). A Primer for Soft Modeling. The University of Akron Press, Akron, Ohio.