For the fourth year in a row, free CARMA-AIB Research Methods Workshops will be offered as a pre-conference activity for the upcoming 2019 AIB Annual Conference in Copenhagen. Seven workshops are being offered as a partnership between the Consortium for the Advancement of Research Methods and Analysis (CARMA) and the Research Methods Special Interest Group of the AIB. Descriptions of the workshops are provided below.


Workshop Descriptions


1. Introduction to Structural Equation Models

Date and Time: June 23, 2019 - 9:00am - 12:00pm

Description:
This workshop includes an introduction to SEM, including confirmatory factor analysis and structural equation methods with latent variables. We will discuss special issues related to the application of these techniques in organizational research, and compare these techniques with traditional analytical approaches. We will cover the conceptual and statistical assumptions underlying theses methods, how to implement data analysis techniques using software program, and how to interpret results using the contemporary software programs.

Course Instructor:
Robert Vandenberg, University of Georgia (USA)




2. Partial Least Squares (PLS)

Date and Time: June 23, 2019 - 9:00am - 12:00pm

Description:
This workshop provides an introduction to advanced issues in PLS-SEM, focusing on ways to interpret and assess structural model results. Specifically, the workshop will - after a recap of standard guidelines of structural model assessment and interpretation - discuss the importance-performance map analysis. In addition to looking at the importance of constructs in explaining other constructs in the structural model, this analysis takes the performance of each construct into account. Therewith, it enriches the model interpretation by enabling a prioritization of managerial actions along both, importance and performance. Furthermore, it will cover prediction-oriented assessment of PLS-SEM results by using the Blindfolding and PLSpredict methods. This will also involve the prediction-oriented model selection. Practical applications and the use of the software SmartPLS 3 are an integral part of the workshop.

Course Instructor:
Nicole F. Richter, University of Southern Denmark (Denmark)
Christian M. Ringle, Hamburg University of Technology (Germany)




3. Introduction to Multi-level Analysis

Date and Time: June 23, 2019 - 9:00am - 12:00pm

Description:
This workshop is introductory in nature. It starts with a brief overview of the historical roots resulting in the need to consider multilevel issues in our research designs. We then discuss the issues underlying aggregation and disaggregation as this is at the heart of multilevel modeling. The latter in turn forces us then to consider some of the analytical challenges (e.g., interdependence vs. independence of observations; intra-class correlations and variance partitioning, etc.) resulting from multilevel thinking. We then move into the basic multilevel models such as random intercept, and random slopes models. Considerable time will be spent on the latter as understanding these makes actually conducting the analyses much easier. After completing it, the topic will switch to multilevel conceptualization. Finally, we end this workshop discussing aggregation indices and their importance.

Course Instructor:
Jonas Lang, Ghent University (Belgium)




4. Writing Up Qualitative Research

Date and Time: June 23, 2019 - 9:00am - 12:00pm

Description:
What is the best way to write up the literature review for a paper based on qualitative research? How can you write up your findings while doing justice to a rich dataset? How do you craft your theoretical contribution? How do you balance 'showing' your data and 'telling' your theorisation of it? How can you solve the challenges of writing up a process-based study? This workshop will cover these key questions for qualitative researchers seeking to publish journal articles based on their studies. The workshop will be run in an interactive way, to provide participants the opportunity to share challenges, discuss different approaches, and obtain insights into writing up qualitative research for publication in international business journals.

Course Instructor:
Becky Reuber, University of Toronto (Canada)
Mary Yoko Brannen, Copenhagen Business School (Denmark)
Catherine Welch, University of Sydney (Australia)




5. Intermediate SEM: Model Evaluation

Date and Time: June 23, 2019 - 2:00pm - 5:00pm

Description:
This workshop assumes participants have some introductory knowledge of SEM. It will cover how to build measurement models, including use of items and parcels as indicators. A second topic to be addressed is the use of CFA models for common method variance. Finally, the issue of model evaluation will be a third focus. Discussion will focus on how these issues arise in organizational research, and examples will be emphasized. An emphasis will be placed on what IB researchers should know to conduct and review research that includes these three topics.

Course Instructor:
Robert Vandenberg, University of Georgia (USA)




6. Intermediate Multi-Level Analysis

Date and Time: June 23, 2019 - 2:00pm - 5:00pm

Description:
If you don't have a basic understanding of multilevel modeling, you may get a bit lost in this one. If you attended the introductory workshop earlier in the day, you'll be fine. In summary, this workshop uses the Mplus statistic package to analyze a number of random coefficients multilevel models. While I use Mplus, some of the models may be evaluated using other statistical packages. There is a progression in this workshop from analyses used to test the assumptions for aggregation to complex ones involving mediation, cross-level interactions, and models in which there are variables only at the between and within levels of analyses. The examples illustrate both the random vector of means and of coefficients/slopes. None of the examples in this module are structural equation models using latent variables. The examples in this module incorporate observed variables only. Participants will be given a comprehensive handout with all the examples including syntax.

Course Instructor:
Jonas Lang, Ghent University (Belgium)




7. Making IB Research Impactful and Globally Relevant

Date and Time: June 23, 2019 - 2:00pm - 5:00pm

Description:
How can our IB research create real value for the world around us? How can we bring our best minds in IB to address important and burning questions in the global economy? How can we enhance our research so that it will be more impactful for a wider audience among and beyond our academic peers? If these are the questions that you care about, we invite you to join a group of AIB Fellows who in partnership with the RRBM are planning a half-day professional development workshop (PDW) at the AIB conference in Copenhagen. Three key objectives are: (1) Explore seven key principles of responsible research; (2) Build two or three ideas for you or your team at your home institution to develop an impactful research agenda. (3) Advance a few general ideas on how we can improve both the credibility and the impact/usefulness of our IB research. The workshop format will be highly interactive. You will hear from leading scholars as well as breakout discussions to develop your own plans for an impactful research agenda.

Course Instructor:
Anne Tsui, University of Notre Dame (USA)
Charles Dhanaraj, Temple University (USA)
Mike Hitt, Texas A&M University & Texas Christian University (USA)
Cristina Gibson, Pepperdine University
Zhixue Zhang, Peking University




As our workshops have limited capacity pre-registration is required and strongly recommended. If you wish to register for a workshop, please follow the link to our registration form:

CARMA-AIB Research Methods Workshops 2019 Registration


In the meantime, if you have any questions please do not hesitate to contact either Stewart Miller (stewart.miller@utsa.edu) or Aggie Chidlow (a.chidlow@bham.ac.uk).