Statistical Methods for Information Systems Research

Schedule and location

Tuesday August 11th - Thursday August 13th
University of Jyväskylä, Jyväskylä, Agora building, room Ag C231


Registration is open until August 4th, noon.


Assistant Professor Frank Chan, ESSEC Business School, France


Professor Mikko Siponen, University of Jyväskylä, Finland


This seminar introduces doctoral students to common quantitative statistical methods used in behavioral research in the Information Systems (IS) discipline. It covers the concepts and applications of regression analysis and structural equation modeling (SEM). It provides students with hands-on knowledge of statistical packages, including SPSS/PASW, SmartPLS 2.0.M3, and AMOS.

Detailed Program

Day 1: Regression and related analyses – SPSS/PASW
09:00 Basics of behavioral research, measurement, reliability assessment, factor analysis
10:30 Break
10:45 Regression analysis and related issues (e.g., multicollinearity, outlier analysis)
12:15 Lunch
13:15 Mediation analysis
14:45 Break
15:00 Moderation analysis and related analyses (e.g., mediated moderation, moderated mediation)
16:30 End of Day 1
Day 2: Component-based SEM – SmartPLS
09:00 Introduction to SEM, formative vs. reflective measurement, overview of the use of Partial Least Squares (PLS) in IS research
10:30 Break
10:45 PLS algorithm, introduction to SmartPLS software, creating PLS path models
12:15 Lunch
13:15 Measurement model assessment, path model assessment, bootstrapping and significance testing
14:45 Break
15:00 Mediation and moderation analysis, multi-group analysis, modeling higher-order constructs
16:30 End of Day 2
Day 3: Covariance-based SEM – AMOS
09:00 Overview of covariance-based SEM, introduction to AMOS software, measurement model assessment
10:30 Break
10:45 Creating structural models, assessing model fit and related issues (e.g., modification indices, identification problem)
12:15 Lunch
13:15 Wrap-up, class exercises
14:45 Break   
15:00 Assignment, student consultant
16:30 End of the seminar      

Credit points

Doctoral students participating in the seminar can obtain 3 credit points. This requires participating on all of the days and completing the assignments given at the seminar.


Participants will be provided with background readings and sample data sets, and they are responsible for installing the statistical packages (SPSS/PASW, SmartPLS 2.0.M3, and AMOS) prior to the seminar. (Note: SPSS/PASW and AMOS are available as 14-day free trial versions and SmartPLS 2.0.M3 is available free of charge.)

Registration fee

This seminar is free-of-charge for member organization's staff and their PhD students. For others the participation fee is 750 €. The participation fee includes access to the event and the event materials. Lunch and dinner are not included.


If you are looking for affordable accommodation in Jyväskylä, summer hotels Harju, Kampus and Rentukka serve in August.