Welcome

RM-SIG Logo

Welcome to the AIB RM-SIG.

The objectives of the Research Methodology Shared Interest Group are to:

  • Provide AIB members with a worldwide forum for scholarly engagement about research methodologies;
  • Advance the quality, diversity and understanding of research methodologies in the AIB;
  • Provide a repository of knowledge for AIB members on the range of, and trends in, research methodologies;
  • Stimulate innovation in research methodologies and promote the use of novel methodologies;
  • Organize doctoral training and professional development opportunities for AIB members on research methodologies;
  • Alongside the AIB, assist in building the research capacity of new researchers and emerging countries and regions.

Membership is currently free for all AIB members.

Research methods events at AIB 2020

Masterclasses

Quantitative Research: Discrete-choice Modeling ($10.00) – William Greene

The aim of the masterclass is to examine both the theory as well as applications of discrete choice models in empirical research. More specifically, based on participation, location decisions and survey data, an analytical attention will be drawn to rigorous application of both binary and discrete models that could be applied in the international business (IB) context. 

Due to the limited number of places available for this masterclass and as part of the registration process, you will be asked to outline the data collection and quantitative research you are either planning to do or/are currently doing in order to explain your motivation for attending this masterclass.

Qualitative Research: Fieldwork and Text Work ($10.00) – John Van Maanen

In this masterclass, John Van Maanen will encourage you to reflect on your ‘fieldwork’ and ‘text work’ practices. The masterclass will include in-depth discussion of selected examples of exemplary ethnographic texts. As well, you will be encouraged to consider possible research designs and fieldwork options in your own area of interest. 

Space in the masterclass is limited, so as part of the registration process, you will be asked to outline the qualitative research you are currently doing and/or planning, and to explain your motivation for attending this masterclass.

Workshops

Introduction to Structural Equation Models (SEM)

Course Instructor: Larry J. Williams, Texas Tech University (USA)
Time and Date: July 1, 12 pm – 3 pm UTC/GMT

This workshop includes an introduction to SEM, including confirmatory factor analysis and structural equation methods with latent variables.

Introduction to Multi-level Analysis

Course Instructor: Robert Vandenberg, University of Georgia (USA)
Time and Date: July 1, 4 pm – 7 pm UTC/GMT

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.

Meta-Analysis

Course Instructor: Ahmet Kirca, Michigan State University (USA)
Time and Date: July 2, 3 pm – 6 pm UTC/GMT

This introductory-level workshop focuses on methods for conducting a quantitative research synthesis using meta-analysis. Ultimately, the objective of this seminar is to develop participants’ practical and methodological understanding of the research synthesis process and to cover the most fundamental data analysis techniques employed in this process.

Qualitative Comparative Analysis

Course Instructor: Ursula F. Ott, Nottingham Trent University (UK)
Time and Date: July 1, 2 pm – 5 pm UTC/GMT

In this workshop, the aim is to provide participants with an understanding of Qualitative Comparative Analysis. The fuzzy set QCA approach is built upon the set-theoretic comparative technique, primarily Boolean algebra, and has been introduced as a tool for integrating the strengths of qualitative and quantitative methods while overcoming the key concerns inherent in both approaches.

Intermediate Structural Equation Models (SEM): Model Evaluation

Course Instructor: Larry J. Williams, Texas Tech University (USA)
Time and Date: July 2, 12 pm – 3 pm UTC/GMT

This workshop assumes participants have some introductory knowledge of SEM, and techniques for model evaluation will be the main focus. The workshop will first cover how to build measurement models, including use of items and parcels as indicators. A second topic to be addressed is model comparison techniques, including the use of goodness of fit indices. Finally, CFA models for common method variance as an alternative explanation for findings will be discussed

Intermediate Multi-Level Analysis

Course Instructor: Robert Vandenberg, University of Georgia (USA)
Time and Date: July 2, 5 pm – 8 pm UTC/GMT

This workshop assumes participants have some introductory knowledge of multilevel modeling. In summary, this workshop uses the Mplus statistic package to analyze a number of random coefficients multilevel models.

Grounded Theory

Course Instructor: Tine Köhler, University of Melbourne (Australia)
Time and Date: July 1, 12 pm – 3 pm UTC/GMT

This workshop will provide an overview of three major topics: Understanding the grounded approach and its different methodological traditions, core design characteristics of a grounded theory study, and analyzing data following the grounded theory method.

For further information & registration visit https://www.aib.world/events/2020/preconference/research-methods-workshops/

Clinics

Thursday, July 9

12:00 pm – 1:00 pm GMT

  • Multinomial, Ordered and Conditional Model: Stewart Miller (University of Texas San Antonio, USA)

1:00 pm – 2:00 pm GMT

  • Qualitative Methods: Catherine Welch (University of Sydney, Australia)
  • Structural Equation Modelling (SEM): Bo Nielsen (University of Sydney, Australia)
  • Mixed Methods: Niina Nummela (University of Turku, Finland)

2:00 pm – 3:00 pm GMT

  • Experimental Research: Ursula F. Ott (Nottingham Trent University, UK)
  • Nested & Logits/Probit Models: Stewart Miller (University of Texas San Antonio, USA)
Friday, July 10

12:00 pm – 1:00 pm GMT

  • Qualitative Methods: Rebecca Piekkari (Aalto University, Finland)

1:00 pm – 2:00 pm GMT

  • QCA: Stav Fainschmidt (Florida International University, USA)
  • Categorical Data/Survey Design: Elizabeth Rose (University of Leeds, UK)
  • Panel Data & Poisson Models: Stewart Miller (University of Texas San Antonio, USA)

2:00 pm – 3:00 pm GMT

  • Data Collection in Cross-County Studies: Roberta Aguzolli (Durham University, UK)
  • Qualitative Methods: Fiona Moore (Royal Holloway University of London, UK)

3:00 pm – 4:00 pm GMT

  • Data Collection Equivalence in Cross-Country Studies: Agnieszka (Aggie) Childow (University of Birmingham, UK)

 9:00 pm – 10:00 pm GMT

  • Hierarchical Linear Modelling: Bo Nielsen (University of Sydney, Australia)

For more information and registration please visit https://www.aib.world/events/2020/program/methods-clinics/