Activities

CARMA-AIB Research Methods Workshops: Minneapolis offerings

If you wish to sign up to one of the workshops, please contact Stewart Miller

1. Qualitative Data Analysis (June 24, 2018 9am –12pm)

Course instructor: Anne Smith, University of Tennessee

Description:  In this workshop, we cover techniques to build trustworthiness in coding using computer aided qualitative data analysis software. Trustworthiness is the established approach to evaluate qualitative research, and many dimensions of trustworthiness and activities to improve trustworthiness have been incorporated into the methods of research in top management and organizational journals. One area of inductive qualitative research that has not been fully fleshed out in terms of aspects of trustworthiness is coding activity. This is surprising given advancements in computer aided qualitative data analysis software (CAQDAS) to enhance trustworthiness. In this workshop, I identify procedures to enhance trustworthiness in coding and identify supporting software techniques and inductively analyze several letters to shareholders from four companies.

2.Introduction to Structural Equation Models (June 24, 2018 9am 12pm)

Course instructor: Larry J. Williams, University of Nebraska

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.

3.An Introduction to Multilevel Analysis (June 24, 2018 9am 12pm)

Course instructor: Robert Vandenberg, University of Georgia

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; intraclass 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.

4.Intermediate SEM: Model Evaluation (June 24, 2018 25pm)

Course instructor: Larry J. Williams, University of Nebraska

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.

5.Intermediate Multilevel Analysis (June 24, 2018 25pm

Course instructor: Robert Vandenberg, University of Georgia

Description:  If you don’t have a basic understanding of multilevel modeling, I’m worried you may get a bit lost in this one.  For example, if you attended my 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.

6.Identification in IB Empirical Research (June 24, 2018 2pm5pm)

Course instructor: J. Myles Shaver and Joel Waldfogel, University of Minnesota

Description:  Across many social science disciplines, there is increasing focus that empirical research identify causal mechanisms of empirical relationships versus plausible alternatives. In this workshop, we will discuss the issue of identification and what it means for IB research. Our focus will be how to consider identification from the initiation of research questions, to research design, and through the execution of the empirical analysis.

Research Methods Clinics 2018

Watch out for the opportunity to sign up to one during the Minneapolis meeting!

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The RM-SIG assists in coordinating research methods clinics at the AIB annual meeting. It is a way for AIB members to get some advice and fresh methodological perspectives in a small group setting, facilitated by experienced authors and reviewers.

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CARMA Pre-conference Workshops 2016-2017

In 2016 and 2017, we have cooperated with CARMA to offer pre-conference methods workshops. At the 2017 annual meeting in Dubai, two workshops were offered:

1) Intermediate SEM: Model Evaluation

2) An Introduction to Multi-level Analysis