SmartPLS is a milestone in latent variable modeling. It combines state of the art methods (e.g., PLS-POS, IPMA, complex bootstrapping routines) with an easy to use and intuitive graphical user interface.
SmartPLS adds a number of new and useful “bells and whistles” to the software’s capabilities, and of course to the researcher's ability to better understand measurement issues and structural patterns.
SmartPLS continues to revolutionize research methodologies since its inception.
Over 350,000 researchers worldwide trust SmartPLS for their data analysis needs.
SmartPLS has been instrumental in the publication of over 20,000 peer-reviewed research papers globally.
Across the world, SmartPLS is extensively used by academics.
SmartPLS has been present since 2005, satisfying its users and customers.
I have a long background in technology IT (product management and engineering) and IÂąve developed applications for many years. I think that SmartPLS is the nicest SEM product on the market, today, and I definitely prefer using it instead of rather antiquated tools like AMOS and MPLUS.
Lori D. Kendall
Ph.D. Student in Management, Case Western Reserve University
I recommend SmartPLS to my students, and one of my graduate student is preparing his Ph.D. thesis with SmartPLS program. He is very happy to solve the difficulty of dealing with hard data for his analysis.
DaeShik Park, Professor
Chungnam National University, Korea
PLS-SEM is a key multivariate analysis method for researchers and scholars. SmartPLS gives easy access to the method. I profited in my research and Ph.D. theses from the intuitive ways to draw models and to easily get the outputs with graphics for many useful analyses.
Julen Castillo Apraiz
Ph.D. Researcher, University of the Basque Country, Spain
Having become familiar with PLS, and especially the SmartPLS tool, I have applied the technique to the Metlife Customer Satisfaction Survey data across multiple markets. The results are very useful and, thanks to SmartPLS, very easy to compute.
Martin Caplin
Metlife, United Kingdom
Covariance-based approach limits lead us to use the variance based approach and SmartPLS software. Many studies done in this area. for expanding this approach among researchers with Persian language we written a book with collaboration my friends. It seems that this approach will soon become an integral part of most analysts, especially in the realm of social sciences. The new version of the software is more comprehensive, and especially at the CTA has attracted many comments. This software can help researchers to comprehensive understanding of develop and evaluate of the measurement and structural models.
Rasoul Gholamzadeh
Faculty Member of Payam Noor University, Iran
PLS-SEM showed a very encouraging development in the last decade. The method has a place in the heart of the researchers. Today, SmartPLS is the most popular software to use the PLS-SEM method. The SmartPLS team of developers has been working hard to release SmartPLS. After seeing and using the latest version of the software, I say it is ABC, amazing, beautiful, and complete.
Hengky Latan
Independent Researcher at University of Pattimura, Indonesia
I have used successfully used SmartPLS for my PhD research in which a pretty complex model has been investigated. I have been working with different software and I have found the SmartPLS software very easy to use. However, this has not restricted the potential power of the software that has allowed me to analyse the direct and indirect effects within my model. I strongly recommend SmartPLS to scholars should they be searching for partial least square software.
Masih Fadaki
PhD, Category Manager (University of Melbourne), Melbourne, Australia
SmartPLS is becoming the state of the art PLS-SEM software. Packed with useful features and easy to use interface it enables me to be more focused on research rather than the tool employed. It comes with a fair price model, securing future development and support. With both a Windows and OSX version, SmartPLS is a winner!
Darko Etinger
Dr.sc. at Juraj Dobrila University of Pula, Croatia
