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

Registration is open until August 4th, noon.

Speaker

Assistant Professor Frank Chan, ESSEC Business School, France

Organizer

Professor Mikko Siponen, University of Jyväskylä, Finland

Overview

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.

Materials

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 Inforte.fi 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.