//PLS Statistics Training Seminar London England
PLS Statistics Training Seminar London England 2018-08-30T20:16:14+00:00

PLS Path Modeling using ADANCO and SmartPLS Seminar

PLS Statistics Training Course Online Seminar

An intermediate 3-day seminar introducing partial least squares path modeling (PLS) using ADANCO and SmartPLS. This seminar covers the newest developments such as consistent PLS and goodness-of-fit tests.


  • Construct measurement: reflective, causal-formative, and composite models
  • Traditional and consistent PLS
  • Goodness-of-fit tests and criteria of approximate model fit
  • Assessing measurement models and structural models
  • Second-order constructs
  • Mediating effects
  • Moderating effects
  • Multi-group analysis and measurement invariance of composites
  • Software tutorials: ADANCO, SmartPLS

Note: This seminar will focus primarily on observed cross-sectional data. Examples used in the seminar are from various fields of business research (such as marketing, supply chain management, information systems research), and social psychology.

London Stats Camp: October 19 – 21, 2018
Hilton Paddington London

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Payment Options

Seminar Venue: Hilton Paddington London
146 Praed Street, London, W2 1EE, United Kingdom
Maps and Directions
TEL: +44-207-850-0500 FAX: +44-207-850-0600

Book your room online individually on the dates required and at best available rates online. No group code is required.

Email: reservations.paddington@hilton.com

Hilton Website

Heathrow is the closest transit and there is a Heathrow Express train that goes from the airport to the Paddington station which is where the Hilton is located.

Lunch and drinks including coffee, tea, and water will be provided daily. 

Question? Please contact us for more info or visit our FAQ page.

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:
$1,095 Faculty/Professional or
$945 Student/Post-Doc

Details Per Course Qty
Professionalshow details + $1,095 (USD)  
Studentshow details + $945 (USD)  

Seminar Description:

Variance-based structural equation modeling is a family of multivariate techniques that help researchers investigate causal relationships between constructs if one or more of these constructs are modeled as composites. Partial least squares path modeling (PLS) is the most developed family member, and has recently undergone another leap forward with regard to model specification, estimation, and testing. Recent advancements include consistent PLS for the estimation of factor models, bootstrap-based goodness-of-fit tests, and the heterotrait-monotrait ratio of correlations for the assessment of discriminant validity.

The seminar “PLS Path Modeling using ADANCO and SmartPLS” consists of 10 lectures and an individual consultation session. The first three lectures provide the conceptual foundation for confirmatory factor analysis, confirmatory composite analysis, and structural equation modeling in general. The next four lectures cover the basics of variance-based structural equation modeling: Model specification, estimation, and interpretation. This includes tutorials of two software solutions for variance-based structural equation modeling: ADANCO (http://www.composite-modeling.com) and SmartPLS (http://www.smartpls.com). The last three lectures present and discuss various extensions, namely second-order constructs, mediating effects, moderating effects, and multigroup analysis.

The seminar will make ample references to extant literature. The following article provides a solid introduction and can be used as a sort of tutorial:

  • Henseler, Jörg; Hubona, Geoffrey; Ray, Pauline Ash (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116 (1), 2-20, http://dx.doi.org/10.1108/IMDS-09-2015-0382 (open access).

Participants will receive an electronic copy of all seminar materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the seminar.

Seminar Audience:

Participants from a variety of fields—including marketing, business, information systems research, operations management, accounting, applied psychology, education, human development, public health, prevention science, sociology, medicine, political science, design research, and communication—will benefit from the seminar.

Instructor: Jörg Henseler

Jorg HenselerJörg Henseler, PhD, is a full professor and holds the Chair of Product-Market Relations at the University of Twente, The Netherlands. He is also a visiting professor at Universidade Nova de Lisboa, Portugal. His research interests encompass structural equation modeling and the interface of marketing and design research. Prof. Henseler is a leading expert on partial least squares path modeling (PLS), a variance-based structural equation modeling technique that is particularly useful in – but in no way limited to – studies focused on the success factors for businesses. He has published in scholarly journals including Computational Statistics & Data Analysis, Journal of Supply Chain Management, Journal of the Academy of Marketing Science, MIS Quarterly, Organizational Research Methods, Structural Equation Modeling, and he has edited two handbooks on PLS. He chairs the scientic advisory board of ADANCO, a new software for variance-based structural equation modeling. A popular guest speaker, Prof. Henseler has been invited by universities around the world – including Beijing University of Aeronautics and Astronautics (China), Freie Universität Berlin, University of Cologne, University of Hamburg (all Germany), Corvinus University Budapest (Hungary), Universidad Iberoamericana (Mexico), University of Ljubljana (Slovenia), Universidad de Sevilla (Spain), Université de Fribourg (Switzerland), The University of Manchester, Warwick Business School (both UK), Georgia State University in Atlanta, and Texas Tech University (both USA) – to speak to students, faculty, and professionals about structural equation modeling. On a regular basis, Prof. Henseler provides seminars on PLS at the PLS School (http://www.pls-school.com), through which hundreds of scholars and practitioners have been trained in structural equation modeling.

Seminar Learning Goals

After engaging in seminar lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:

  • Explain the PLS path modeling algorithm including its consistent variant, PLSc.
  • Specify measurement models as reflective, causal-formative, or composite.
  • Distinguish between behavioral and design research in their disciplines, and bridge probable gaps using variance-based SEM.
  • Specify, estimate, and test different structural equation models using the software ADANCO and SmartPLS.
  • Conduct confirmatory factor analysis, confirmatory composite analysis, and a mixture of both using variance-based SEM.
  • Assess the fit of structural equation models involving composites.
  • Interpret and present the results of complex structural equation models with partial and full mediation.
  • Model and test second-order constructs.
  • Analyze moderating (interaction) effects.
  • Conduct multi-group analysis.

 Seminar Prerequisites


  • Proficiency in multiple linear regression.
  • Intermediate proficiency with at least one statistical software package (e.g., SPSS, Stata, SAS, R, etc.).

Not required but advantageous:

  • At least limited experience (e.g., graduate-level seminar) with multivariate data analysis.
  • At least limited experience (e.g., graduate-level seminar) with latent variable models, e.g., exploratory and confirmatory factor analysis (EFA; CFA) and structural equation modeling (SEM).

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Advanced mathematical or statistical topics such as matrix algebra or likelihood theory.

Seminar Syllabus

Friday October 19th
9:00-9:30 Welcome and introductions
9:30-10:45 Construct modeling in behavioral research using reflective measurement
10:45-11:00 Snack and refreshments break
11:00-12:30 The composite model: modeling artifacts in business research
12:30-13:30 Lunch break
13:30-15:00 Traditional and consistent partial least squares (PLS & PLSc)
15:00-15:15 Snack and refreshments break
15:15-17:00 Software tutorial: ADANCO and SmartPLS
Saturday October 20th
9:00-10:45 Assessing the model fit (incl. software tutorial)
10:45-11:00 Snack and refreshments break
11:00-12:30 Assessing the measurement model (incl. software tutorial)
12:30-13:30 Lunch break
13:30-15:00 Assessing the structural model; bootstrap (incl. software tutorial)
15:00-15:15 Snack and refreshments break
15:15-17:00 Modeling and testing second-order constructs (incl. software tutorial)
Sunday October 21st
9:00-10:45 Analyzing moderating effects (incl. software tutorial)
10:45-11:00 Snack and refreshments break
11:00-12:30 Analyzing mediating effects (incl. software tutorial)
12:30-13:30 Lunch break
13:30-17:00 One-on-one Consultations with instructor

Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi capabilities.

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Instruction will be provided for the methods using the most current version of ADANCO. ADANCO is available for Windows and Mac environments.  Information for purchasing a personal license can be found at http://www.composite-modeling.com.

Note: We will also make use of SmartPLS (http://www.smartpls.com).

Recommended Reading

Dijkstra, Theo K.; Henseler, Jörg (2015). Consistent partial least squares path modeling. MIS Quarterly, 39 (2), 297-316, http://www.henseler.com/Dijkstra-Henseler-MISQ-2015.pdf (open access).

Henseler, Jörg (2017). Bridging design and behavioral research with variance-based structural equation modeling. Journal of Advertising, electronic pre-print available, http://dx.doi.org/10.1080/00913367.2017.1281780 (open access).

Henseler, Jörg; Chin, Wynne W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17 (1), 82-109, http://dx.doi.org/10.1080/10705510903439003.

Henseler, Jörg; Dijkstra, Theo K.; Sarstedt, Marko; Ringle, Christian M.; Diamantopoulos, Adamantios; Straub, Detmar W.; Ketchen, David J., Jr.; Hair, Joseph F.; Hult, G. Tomas M.; Calantone, Roger J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17 (2), 182-209, http://dx.doi.org/10.1177/1094428114526928 (open access).

Henseler, Jörg; Hubona, Geoffrey; Ray, Pauline Ash (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116 (1), 2-20, http://dx.doi.org/10.1108/IMDS-09-2015-0382 (open access).

Henseler, Jörg; Ringle, Christian M.; Sarstedt, Marko (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33 (3), 1-27, http://dx.doi.org/10.1108/IMR-09-2014-0304.

Henseler, Jörg; Ringle, Christian M.; Sarstedt, Marko (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43 (1), 115-135, http://dx.doi.org/10.1007/s11747-014-0403-8 (open access).

Nitzl, Christian; Roldán, José Luis; Cepeda, Gabriel (2016). Mediation analyses in partial least squares structural equation modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116 (9), 1849-1864, http://dx.doi.org/10.1108/IMDS-07-2015-0302.

Riel, Allard van; Henseler, Jörg; Kémény, Ildikó; Sasovova, Zuzana (2017). Estimating hierarchical constructs using partial least squares: The case of second-order composites of factors. Industrial Management & Data Systems, 117 (3), 459-477 (open access).

Rigdon, Edward E. (2012). Rethinking partial least squares path modeling: in praise of simple methods, Long Range Planning, 45 (5-6), 341-358, http://dx.doi.org/10.1016/j.lrp.2012.09.010.

Sarstedt, Marko; Henseler, Jörg; Ringle, Christian M. (2011). Multi-group analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. Advances in International Marketing, 22, 195-218, http://dx.doi.org/10.1108/S1474-7979(2011)0000022012.

Seminar Files

Links to seminar files for those who enrolled in the seminar will be emailed 24 – 48hrs prior to seminar start date. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Seminar Certificate

Upon completion of the seminar you may request an official Stats Camp print-ready PDF certificate.  Please contact us here to request a digital copy.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources