Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison

COMPSTAT 2008 ◽  
2008 ◽  
pp. 303-314 ◽  
Author(s):  
Francesco Palumbo ◽  
Rosaria Romano
2018 ◽  
Vol 20 (1) ◽  
pp. 113 ◽  
Author(s):  
Palwasha Bibi ◽  
Ashfaq Ahmad ◽  
Abdul Halim Abdul Majid

This study investigated the impact of training and development and supervisors support on employees retention. Furthermore, the current study also investigates the moderating effect of the work environment on the relationship between training and development, supervisors support, and employees’ retention. A survey was undertaken to collect data from 250 faculty members working in public sector universities in Pakistan. PLS path modeling was employed to analyze the data. The results revealed that training and development and the support of the supervisors had a significant relationship with the retention of employees. Similarly, the results also revealed that the work environment moderated the relationship between training and development, supervisors support, and employees’ retention. Finally, the implications, limitations and recommendations for further research were discussed.


2005 ◽  
Vol 48 (1) ◽  
pp. 159-205 ◽  
Author(s):  
Michel Tenenhaus ◽  
Vincenzo Esposito Vinzi ◽  
Yves-Marie Chatelin ◽  
Carlo Lauro

2016 ◽  
Vol 116 (1) ◽  
pp. 2-20 ◽  
Author(s):  
Jörg Henseler ◽  
Geoffrey Hubona ◽  
Pauline Ash Ray

Purpose – Partial least squares (PLS) path modeling is a variance-based structural equation modeling (SEM) technique that is widely applied in business and social sciences. Its ability to model composites and factors makes it a formidable statistical tool for new technology research. Recent reviews, discussions, and developments have led to substantial changes in the understanding and use of PLS. The paper aims to discuss these issues. Design/methodology/approach – This paper aggregates new insights and offers a fresh look at PLS path modeling. It presents new developments, such as consistent PLS, confirmatory composite analysis, and the heterotrait-monotrait ratio of correlations. Findings – PLS path modeling is the method of choice if a SEM contains both factors and composites. Novel tests of exact fit make a confirmatory use of PLS path modeling possible. Originality/value – This paper provides updated guidelines of how to use PLS and how to report and interpret its results.


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