Research Methods Centre

The Research Methods Centre (RMC) contributes to the University of Exeter Business School’s mission of producing and communicating the highest quality of business and economics research. We commit to foster a dynamic environment where researchers not only acquire knowledge but also share their experiences, explore novel methodologies, and continuously develop their skills. We provide support for researchers at all levels and in all disciplines across all stages of their research projects.

Dr Justin Tumlinson and Professor Xiaohui Zhang are Co-directors of the RMC.

In this section

CARMA

(Consortium for the Advancement of Research Methods and Analysis)

The RMC purchased a “Premium Institutional Membership” to CARMA (Consortium for the Advancement of Research Methods and Analysis), giving the University of Exeter community access to a wide variety of methods workshops, both live and recorded (details here). Here is an FAQ on how to access the materials.

Note: I have also seen these carefully prepared materials used effectively in the classroom.

Quick Start

Please register with your @exeter.ac.uk email address (you will receive a confirmation email), and try to access a video class.

I am UE’s “primary contact” for CARMA, if that is necessary. Eventually, we will get the RMC webpage updated with a link to CARMA.

The RMC will continue to focus on face-to-face events, but we hope this additional resource fills a gap for those who are sometimes unable to attend or need training on a topic we are not scheduled to offer yet.

Centre members

Directors

Affiliated members

Administrative staff

Selected Recent Publications

Taselli, S. & Brennecke, J. (2026) “Asymmetric Jeopardy through Dissonant Ties: An Extension of Brands and Kilduff’s “Multiplex Jeopardy”, Academy of Management Review
Mokhtar, J., Knockaert, M., Vanacker, T. & Bliese, P. (2026) “The University Versus Region Effect: A Variance Decomposition of Academic Spin-Off Performance”, Strategic Management Journal, 47(10), 2623–2645.
Cavaliere, G., Mikosch, T., Rahbek, A. & Vilandt, F. (2025) “A Comment on: ‘Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data’”, Econometrica.
Jahantab, F., Anand, S., Vidyarthi, P. R. & Erdogan, B. (2025) “Understanding I-Deals through the Social Ledger Lens: The Role of Trust and Hindrance Networks”, Academy of Management Journal, 68(6), 1207–1234.
Methot, J. R. & Kaul, A. (2024) “What Is Next? Moving Beyond a Rejection From AMR by Repurposing Your ‘Theory’”, Academy of Management Review, 49(3), 475–486.
Tonellato, M., Tasselli, S., Conaldi, G., Lerner, J. & Lomi, A. (2024) “A Microstructural Approach to Self-Organizing: The Emergence of Attention Networks”, Organization Science, 35(2), 496–524.
Andrews, D. S., Fainshmidt, S., Fitza, M. & Kundu, S. (2023) “Disentangling the Corporate Effect on Subsidiary Performance”, Strategic Management Journal, 44(12), 2986–3011.
Methot, J. R., Rosado-Solomon, E. H., Downes, P. E. & Gabriel, A. S. (2021) “Office Chitchat as a Social Ritual: The Uplifting Yet Distracting Effects of Daily Small Talk at Work”, Academy of Management Journal, 64(5), 1445–1471.
Hegde, D. & Tumlinson, J. (2021) “Information Frictions and Entrepreneurship”, Strategic Management Journal, 42(3), 491–528.

Workshops

2026

Table detailing Research Methods Centre workshops taking place in 2026.
Presenters	Date	Workshop
Ben Meehan, QDATRAINING	09/02/2026	RMC NVivo Training
Ben Meehan, QDATRAINING	10/02/2026	RMC NVivo Training
Ben Jann, Institute of Sociology, University of Bern Asjad Naqvi, Austrian Institute of Economic Research (WIFO)	11/02/2026	RMC Data visualisation with Stata
Filip Agneessens, University of Manchester Fabio Fonti, NEOMA Business School Joe Labianca, University of Massachusetts & University of Exeter Jessica Methot, Rutgers University & University of Exeter Stefano Tasselli, University of Exeter Steffen Triebel, Aarhus University Paola Zappa, University College London	18/03/2026	SNS School of Network Methods – “From Analysis to Publication” Materials_School of Network Methods
	19/03/2026
	20/03/2026
Kathrin Sele, Aalto University Kevin Corley, Imperial College London	14/04/2026	RMC Grounded theory
	15/04/2026	RMC Grounded theory
Jiti Gao, Monash University	08/05/2026	RMC Semi-parametric modelling
Mirjam Moerbeek, Utrecht University	11/05/2026	RMC power analysis workshop
Laura Venz, Leuphana University Lüneburg Zhen Zhang, Cox School of Business, Southern Methodist University	14/05/2026	RMC diary study and DSEM workshop
	15/05/2026	RMC diary study and DSEM workshop

2025

Table detailing research methods centre workshops taken place in 2025.
Presenters	Date	Workshop
Guy Harling, University College London Francesca Pallotti, University of Exeter Paola Zappa, University College London	15/01/2025	RMC and ECSN Workshop "Social Networks in Health"
	16/01/2025
	17/01/2025
Steven Boyne, University of Exeter Business School Ashley Luckman, University of Leicester Alexa Guy, University of Exeter	12/03/2025	Research Ethics Application
	13/03/2025	Research Ethics Application
Herman Aguinis, The George Washington University School of Business & University of Exeter Markus Fitza, Frankfurt School of Finance & Management & University of Exeter Business School	28/04/2025	Publishing in Top-Tier-Journals
	29/04/2025	Publishing in Top-Tier-Journals
Chris Playford, University of Exeter Xiaohui Zhang, University of Exeter Business School Liliana Belkin, University of Roehampton Claire Crawford, University College London Neil Harrison, University of Exeter George Leckie, University of Bristol Ellen Greaves, University of Exeter Business School	07/05/2025	Using Administrative Education Data
Florian Ellsaesser, HHL Leipzig Graduate School of Management Songyan Zhu, University of Southampton Shuang Dai, University of Exeter Yuchen Zhang, University of Essex	14/05/2025	Machine Learning
	15/05/2025	Machine Learning
Songyan Zhu, University of Southampton	19/05/2025	Using geospatial data
Songyan Zhu, University of Southampton	20/05/2025	Using geospatial data
George Leckie, University of Bristol	10/06/2025	Introduction to Multilevel Modelling
George Leckie, University of Bristol	11/06/2025	Introduction to Multilevel Modelling
Elena Manresa, Princeton University Christopher Rauh, IAE-CSIC, Barcelona & University of Cambridge Matthew Gordon, Paris School of Economics Tillmann von Carnap, University of Oslo Thomas Renault, University Paris-Saclay, RITM Achim Ahrens, CERGE-EI Marie Beigelman, Kings College London Paul Bose, Università di Roma Tor Vergata	18/09/2025	RMC Political Economy and Data Science
Andreas Wihler, University of Exeter Business School	01/10/2025	RMC Qualtrics Introduction
Andreas Wihler, University of Exeter Business School	02/10/2025	RMC Qualtrics Introduction
Steven Boyne, University of Exeter Business School Alexa Guy, University of Exeter	19/10/2025	REC and RMC Research Ethics Application
	20/10/2025	REC and RMC Research Ethics Application

2024

Presenters	Date	Workshop
Per Block, Universität Zürich Jurgen Lerner, University of Konstanz Tom Snijders, University of Groningen & University of Oxford	15/01/2024	Workshop "Social Networks Analysis Methods"
	16/01/2024
	17/01/2024
Gabriel Sala, Northeastern University, D’Amore-McKim School of Business Lex Washington, Oklahoma State University Audrey Holm, HEC Paris Gregory Fetzer, University of Liverpool	05/03/2024	Workshop "Interview Research Methods"
	06/03/2024
	07/03/2024
	08/03/2024
Markus Fitza, Frankfurt School of Finance & Management & University of Exeter Business School	09/04/2024	“P-Hacking” & “Reproducibility”
Leroy White, University of Exeter Business School Jonas Lang, Ghent University & University of Exeter Markus Fitza, Frankfurt School of Finance & Management & University of Exeter Business School Ilke Inceoglu, University of Exeter Business School Justin Tumlinson, University of Exeter Business School Susan Reh, University of Exeter Alita Nandi, University of Essex Greg Meredith, ADR UK	10/04/2024	RMC, EXCL & Director of Research Environment “Secondary Data Workshop” in Penryn
	11/04/2024
Victor Aguirregabiria, University of Toronto Boris Nikolov, University of Lausanne Stephane Bonhomme, University of Chicago	01/05/2024	Workshop "Structural Estimation"
	02/05/2024
	03/05/2024
Jack Porter, University of Wisconsin-Madison Frank Windmeijer, University of Oxford Anna Mikusheva, Massachusetts Institute of Technology	13/05/2024	Workshop "Instrumental Variables"
	14/05/2024
	15/05/2024
Steven Boyne, University of Exeter Business School Ashley Luckman, University of Exeter Business School	13/05/2024	RMC & REC Workshop "How to submit ethics applications"
	15/05/2024	RMC & REC Workshop "How to submit ethics applications"

2023

Presenters	Date	Workshop
Arvids Ziedonis, KU Leuven	02/02/2023	Seminar-“State Government Innovation Programs and the Retention of Science and Technology Start–Ups: Evidence from the Great Lakes Region.”
	03/02/2023	Methods Training-"Investigating OLS, IV, and ML: Simulations in Stata" Part 1
	03/02/2023	Methods Training-"Investigating OLS, IV, and ML: Simulations in Stata" Part 2
Herman Aguinis, The George Washington University School of Business & University of Exeter	06/02/2023	Training- "Meta-analysis"
	07/02/2023	Training- "Meta-analysis"
	08/02/2023	Training- "Methodological Literature Reviews"
Eric Quintane, ESMT Berlin	17/02/2023	Training- "Exponential Random Graph Models"
Eric Quintane, ESMT Berlin	17/02/2023	RMC & ECSN Research Seminar- "How does turnover spread through network ties? Turnover contagion as resource loss"
Berrin Erdogan, Portland State University & University of Exeter	29/03/2023	Directed readings 1- "Contemporary Approaches to Leadership"
	29/03/2023	Seminar-"Overqualification and implications for workplace behaviour"
	30/03/2023	Directed Readings 2- "Contemporary Approaches to Leadership"
Stephen Disney, University of Exeter Business School Jan Van Mieghem, Kellogg School of Management Robert Boute, KU Leuven	17/04/2023	RMC & OM Methods Workshop
	18/04/2023
	19/04/2023
Liyang Sun, CEMFI Jonathan Roth, Brown University Jeff Wooldridge, Michigan State University	08/05/2023	Workshop “Advances in Differences in Differences”
	09/05/2023
	10/05/2023
Jeff Vancouver, Ohio University	15/05/2023	RMC Methods Workshop: “Modeling the Mind and the Milieu: Computational Modeling for Organizational Psychologists”
Jeff Vancouver, Ohio University	15/05/2023	RMC/ExCL Research Seminar: “Won’t Get Fooled Again: The Roles of Statistics and Theory in the Practice of Science”
Maciej Workiewicz, ESSEC Business School Arianna Amarchetti, London Business School Yash Raj Shrestha, Université de Lausanne	21/06/2023	Workshop "Computational Methods in Management"
	22/06/2023
	23/06/2023
Bill Foster, University of Alberta Christina Lubinski, Copenhagen Business School Hannah Tucker, Copenhagen Business School Dan Wadhwani, Copenhagen Business School	04/10/2023	Workshop “Historical Qualitative Research Methods”
	05/10/2023
	06/10/2023

2022

Presenter(s)	Date	Workshop
Joe Labianca, University of Massachusetts & University of Exeter	20 January 2022	Social Network Analysis
	27 January 2022
	3 Feburary 2022
Claudio Panico, Bocconi University	22-23 Feburary 2022	Formal Modeling for Management
Denisa Mindruta, HEC Paris	23-24 March 2022	Econometrics of Matching Games
Felix Vardy, International Monetary Fund	28 March 2022	Policy Careers
Felix Vardy, International Monetary Fund	3 April 2022	Policy Careers
Joerg Claussen, LMU München	4-6 April 2022	Webcrawling with Python
Chris Rider, University of Michigan's Ross School of Business	4-5 May 2022	Numerical Narratives
Elena Spatoulas Patel, University of Utah	22-26 May 2022	Intermediate Econometrics II
Markus Fitza, Frankfurt School of Finance & Management & University of Exeter Business School	14 June 2022
Herman Aguinis, The George Washington University School of Business & University of Exeter	27-28 June 2022	Open Science

2021

Presenter(s)	Date	Time	Workshop
Niels Van Quaquebeke, KLU Kühne Logistics University & University of Exeter Business School	5 January 2021	2:00 to 3:00pm	Respectful inquiry: The story and the story behind the story
Hannes Leroy, Rotterdam School of Management - Erasmus University & University of Exeter Business School	6 January 2021	3:00 to 4:00pm	Story behind the paper: Publishing in Journal of Applied Psychology
Berrin Erdogan, Portland State University & University of Exeter Business School	7 January 2021	2:00 to 4:00pm	Story behind the paper: How to respond to reviewer comments
Tom Vanacker, Ghent University & University of Exeter Business School	14 January 2021	2:00 to 4:00pm	How to frame papers that draw data from financial databases
Priya Kannan, University of San Diego - Knauss School of Business & University of Exeter Business School Ronit Kark, Bar-Ilan University & University of Exeter Business School	27 January 2021	2:30 to 4:00pm	Action research and taking research into practice
Jessica Methot, Rutgers University & University of Exeter Jill Perry-Smith, Emory University Stefano Tasselli, Rotterdam School of Management, Erasmus University & University of Exeter Business School	3 Feburary 2021	2:30 to 4:00pm (Panel Workshop)	Tips on writing theory papers
Jamie Ladge, Carroll School of Management - Boston College	9 Feburary 2021	2:30 to 3.30pm	Developing interview protocols
Joe Labianca, University of Massachusetts & University of Exeter Business School	18 Feburary 2021	2:00 to 4:00pm	Tips on being a reviewer
Alessandro Lomi, Institute of Computational Science - University of Italian Switzerland & University of Exeter Business School	26 Feburary 2021	3:00 to 4:00pm	Best practices in network modelling
Ana Ortiz de Guinea Lopez de Arana, HEC Montreal & University of Exeter Business School	2 March 2021	1:30 to 3:30pm	Topic TBC, probably meta-analysis
	3 March 2021	2:30 to 4:00pm	Topic TBC, probably meta-analysis
Joe Labianca, University of Massachusetts & University of Exeter Business School Stefano Tasselli, Rotterdam School of Management, Erasmus University & University of Exeter Business School	9 March 2021	1:00 to 3:30pm	Research design and action research within organizations
Hannes Leroy, Rotterdam School of Management - Erasmus University & University of Exeter Business School	25 March 2021	3:00 to 4:00pm	How to frame and develop a literature review
Gabriel Katz, University of Exeter	29 March 2021	9:00am to 5:00pm	R training (part 1)
Gabriel Katz, University of Exeter	30 March 2021	9:00am to 5:00pm	R training (part 2)
Ben Meehan, QDATRAINING	31 March 2021	9:00am to 5:00pm	NVIVO training (part 1)
Ben Meehan, QDATRAINING	01 April 2021	9:00am to 5:00pm	NVIVO training (part 2)
Iulia Cioroianu, Institute for Policy Research - University of Bath	01 April 2021		Introduction to Python
	02 April 2021		Language Processing / Machine learning in Python
Ben Meehan, QDATRAINING	03 April 2021		Introduction to Nvivo
Iulia Cioroianu, Institute for Policy Research - University of Bath	22 April 2021	9:00am to 5:00pm	Python training (part 1)
	23 April 2021	9:00am to 5:00pm	Python training (part 2)
Jonas Lang, Ghent University & University of Exeter	4 May 2021	1:30 to 3:30pm	Multilevel models (basic)
	11 May 2021	1:30 to 3:30pm	Multilevel models (intermediate 1)
	18 May 2021	1:30 to 3:30pm	Multilevel models (intermediate 2)
	25 May 2021	1:30 to 3:30pm	Multilevel models (advanced)
	13 September 2021		Structural Equation Modeling
Greg Molecke, University of Exeter Business School	11 October 2021
Herman Aguinis, The George Washington University School of Business & University of Exeter	25 October 2021		Management Theory Development
Colleen Cunningham, London Business School	15 November 2021		Finite mixture models
Elena Spatoulas Patel, University of Utah	22-23 November 2021		Intermediate Econometrics

2020

Presenter(s)	Date	Time	Workshop
John Antonakis (Editor-in-chief: The Leadership Quarterly)	4 February 2020		The Endogeneity problem in mediation analysis Random effects assumption in multilevel models
Gabriel Katz (Q-Step Centre, University of Exeter)	30 March 2020		Introduction to R/ Regression analysis in R (Stata)
Gabriel Katz (Q-Step Centre, University of Exeter)	31 March 2020		Factor analysis / Structural equation modelling in R (Stata)
Jill Perry Smith, Berrin Erdogan	30 September 2020	Jill: 2:30 to 3:10pm, Berrin: 3:20 to 4:00pm	*Meet the editor: Insights from an Associate Editor of Academy of Management Journal* and Editor-in-Chief of Personnel Psychology** Our first Research Methods Centre workshop will feature two of our Distinguished Research Professors. Jill Perry-Smith was an Associate Editor, Academy of Management Journal (2016-2019), and has been a board member of Organization Science, Journal of Applied Psychology, Academy of Management Review, and Academy of Management Journal. Jill will present ideas on how to tackle journal revisions and common reasons that articles get rejected and how to address them. There will be the opportunity to ask questions at the end. Berrin Erdogan is the Editor-in-Chief of Personnel Psychology. Berrin will provide information about publishing in Personnel Psychology. These unique insights are relevant for publishing in other psychology and management journals. The talk will contain tips relating to idea generation, research design, writing, and revising articles to increase success in the publication process. There will be the opportunity to ask questions at the end.
Jessica Methot, Jamie Ladge	06 October 2020	2:00pm to 3:30pm (Panel Workshop)	Practical implications of research and getting media attention An important element of our job as academics is to conduct research that builds and extends knowledge of a vast range of management-oriented phenomena. However, some scholars struggle to understand the practical significance of their work and how to translate and disseminate their research to practitioners. This presentation is designed to help scholars talk about the relevance of their work to non-academic audiences – including practice-based business magazines and journals as well as the popular press. Professors Ladge and Methot will describe their experiences sharing their research with these various outlets. They will discuss approaches to writing and connecting with practitioner audiences, and methods of “translating” academic insights in ways that spark interest with practicing managers. They will also offer strategies for how to leverage the use of practice-oriented writings and media attention (e.g. for classroom use, research, and/or to gain credibility in the field).
Markus Fitza	15 October 2020	2:30 to 4:00pm	Current approaches to publishing quantitative analysis (e.g., replication, p-values) In recent years a variety of voices raised concerns about the reproducibility of results in management studies (e.g., Banks et al.,2016; Bettis, 2012; Bettis, Helfat, and Shaver, 2016; Goldfarb and King, 2016). These concerns echo a discussion in other scientific fields. For example, Ioannidis (2005) estimates that more than 50% of studies in the clinical sciences may be false positives (type I errors) and will thus not reproduce. At the core of this discussion are concerned about how traditional statistical model fitting techniques are used in management research. But progress has already been made, for example, the Strategic Management Journal dropped the practice of using p-value cutoffs and now encourages replications. In this workshop, I will discuss some of the issues underlying this discussion, what suggestions have been made to tackle the problem and what the emerging changes in various journals mean for our research practice.
Tom Vanacker	22 October 2020	2:00 to 4:00pm	Creative use of databases (relevant to HR, finance, entrepreneurship, organisational behaviour) Scholars in a wide range of fields often focus on publicly traded firms—generally pushed by data availability. While publicly traded firms were all once young, small, and privately held, we cannot simply generalize what we know from publicly traded firms to privately held firms. Moreover, privately held firms represent 97.5% of all incorporated entities in the United Kingdom. Data availability (and quality) related to privately held firms has increased dramatically in recent years. In this seminar, I will discuss some interesting databases on privately-held firms; how they might be used to develop new theory; highlight common (sometimes false) critiques on these databases; and, how they might be used creatively (based on my own experience) to get published in a broad range of journals, including Academy of Management Journal, Strategic Management Journal, Organization Science, Entrepreneurship Theory and Practice, Journal of Business Venturing, Journal of Banking and Finance, and Journal of World Business.
Nils Van Quaquebeke, Jonas Lang	29 October 2020	2:30 to 4:00pm (Panel Workshop)	Meet the editor: Beyond the questionnaire at Leadership Quarterly and insights from the publication process at Journal of Applied Psychology and Organizational Research Methods The Journal of Applied Psychology and The Leadership Quarterly are top journals in management and applied psychology. Join this Q&A session with Jonas W. Lang (Associate Editor at JAP) and Niels Van Quaquebeke (Senior Associate Editor at LQ) and ask them everything you always wanted to know about how best to navigate the publication process in these journals? What do the editors look for in manuscripts? What can you as a submitter do to increase the likelihood of your manuscript getting into review and ultimately accepted? This session is yours. So take ownership. A week before a slid.do link will be posted here where you can (anonymously) post your questions.
Markus Fitza	05 October 2020	2:30 to 4:00pm	Variance decomposition analysis Variance decomposition is frequently used in management research. It is usually used to determine the impact of a given effect class on a dependent variable. An example might be useful to illustrate the utility of this approach relative to more conventional approaches such as linear regression: One use of variance decomposition in management studies was to determine the importance of CEOs for firm performance (e.g., Ahn et al., 2004; Lieberson and O'Connor, 1972; Mackey, 2008; Thomas, 1988; Wasserman et al., 2001). While some studies try to answer this question by analyzing the performance effect of certain CEO characteristics (such as age, experience or education etc…) a variance decomposition follows a more general approach. Because CEO characteristics are a complex set of features, some of which can increase performance while others can decrease it, it is difficult to determine the overall magnitude of the impact of CEOs with a regression analysis that uses proxies for the full set of all possible underlying CEO features that may affect performance. Rather a variance decomposition study of CEO influence captures the performance effect of CEOs in its totality. Instead of asking which features of a CEO effect firm performance it asks what is the overall impact of CEOs. This approach helps to answer a fundamental question: If we want to understand differences in firm performance, how much can studies of for example CEOs help us towards that goal? In the past this approach was use to measure the impact of a variety of effect classes on firm performance such as the effect of industry, region, corporate parent, business group, CEOs, VCs, etc. While performance is usually the main dependent variable of interest variance decomposition can also be used to investigate alternative DVs, for example to estimate how much certain effect classes influence the degree of diversification or M&A activities. In this workshop I will discuss the use of variance decomposition in management research: What types of research questions it can help answer, various methodological approaches, and how one can manage the review process for variance decomposition paper given that the method is not necessarily known to all reviewers.
Anthony Heyes	12 November 2020	2:30 to 4:00pm	Research design for causal inference: Methods from economics for non-economists (part 1) Much empirical research coming out of business schools presents evidence of correlation (X is associated with Y) but is written up in a way that implies a causal relationship (X causes Y). Economics has moved decisively away from correlational analysis towards methods that explicitly allow for causal inference. Much of this work is very creative, making clever use of ‘natural experiments’. Now the norm in economics, such designs are increasingly prominent in top journals in other business school disciplines. The presentation will sketch the methods (IV, RDD and DiD) in a non-technical manner and explore how they might make your own empirical research more marketable. Focus will be on research design – setting up a study that has causal interpretability “baked in” from the start – and we will touch on lots of examples. The talks are mainly for people less familiar with these approaches, but everyone is welcome.
Anthony Heyes	19 November 2020	2:30 to 4:00pm	Research design for causal inference: Methods from economics for non-economists (part 2) Much empirical research coming out of business schools presents evidence of correlation (X is associated with Y) but is written up in a way that implies a causal relationship (X causes Y). Economics has moved decisively away from correlational analysis towards methods that explicitly allow for causal inference. Much of this work is very creative, making clever use of ‘natural experiments’. Now the norm in economics, such designs are increasingly prominent in top journals in other business school disciplines. The presentation will sketch the methods (IV, RDD and DiD) in a non-technical manner and explore how they might make your own empirical research more marketable. Focus will be on research design – setting up a study that has causal interpretability “baked in” from the start – and we will touch on lots of examples. The talks are mainly for people less familiar with these approaches, but everyone is welcome.
Priya Kannan	25 November 2020	3:00 to 4:00pm	Developing research questions and construct clarity Theoretically, how individuals reconstruct available resources to effect new opportunities has been at the heart of entrepreneurship and innovation research for the past two decades (e.g. Baker and Nelson, 2005, Feldman, 2004; Feldman and Worline, 2011, Garud and Karnoe, 2003). Practically, nothing highlights the need to reconstruct resources quickly and effectively to pursue new opportunities such as unexpected crises, the most recent case being the pandemic. Entrepreneurial firms, as well as, large organizations swiftly reconfigured their resources and shifted them to pursue new entrepreneurial opportunities brought forth by the pandemic. For example, General Motors swiftly reconfigured their resources and shifted them to producing ventilators while some award winning, high end dining restaurants foresaw new opportunities in burgers, take outs, and reconfigured resources to pursue these unexpected opportunities. Resource reconstruction is addressed by several terms such as effectuation (Sarasvathy, 2001), bricolage (Baker &Nelson, 2005), and resourcing (Feldman, 2004) and others. Based on a working paper, the purpose of this talk is to delineate the differences in how resources can be understood and constructed differently based on the phenomenon that is under consideration.
Ronit Kark	01 December 2020	1:00 to 2:00pm	Publishing qualitative research: Success, rejections and lessons learned
Giuseppe Cavaliere	08 December 2020	1:00 to 3:30pm	Bootstrap methods for economists (part 1)

2019

Presenter(s)	Date	Workshop
Iulia Cioroianu, University of Bath	1 April 2019	Introduction to Python
Iulia Cioroianu, University of Bath	2 April 2019	Collecting and analysing social media data using Python Required: Intro to Python
Eva Neitzert, London School of Economics and Just Economics	3 April 2019	Evaluation and impact assessment
Julian Jamison, University of Exeter, Economics	4 April 2019	Experimental methods
Pikakshi Manchanda, CSAM, University of Exeter	5 April 2019	Introduction to Natural Language Processing in Python Required: Intro to Python
Ben Meehan, QDA Training	8 April 2019	Introduction to NVivo
Ben Meehan, QDA Training	9 April 2019	NVivo Underway – analysing your data NVivo Required: Intro NVivo. Max 16 people
Gabriel Katz, Q-Step Centre, University of Exeter	10 April 2019	Multilevel Models in R and Stata
Gabriel Katz, Q-Step Centre, University of Exeter	11 April 2019	Bayesian Statistics in R and Stata
Lakshmi Balachandran Nair, University of Utrecht	12 April 2019	Case Study Research Design
Iulia Cioroianu (University of Bath)	8 July 2019	Online surveys in Qualtrics, survey experiments, and causal inference
Lakshmi Balachandran Nair (University of Utrecht)	9 July 2019	Introduction to Grounded theory
Alasdair Jones (London School of Economics)	10 July 2019	Participant observation
Alasdair Jones (London School of Economics)	11 July 2019	Approaches in qualitative evaluation
Houston Lester (Baylor College of Medicine)	12 July 2019	Longitudinal Analysis in R
Mike Gill (University of Oxford)	9 September 2019	Of qualitative methods and phenomenology (Canceled)
Jeremy Dawson (University of Sheffield)	10 September 2019	Mediation and moderation
Lorien Jasny (Q-Step Centre, University of Exeter)	11 September 2019	Introduction to social network analysis
Lorien Jasny (Q-Step Centre, University of Exeter)	12 September 2019	Intermediate social network analysis Required: Intro to Social Network Analysis
Pikakshi Manchanda (CSAM, University of Exeter)	13 September 2019	Advanced NLP and Machine Learning for text analysis Required: Intro to Python

2018

Title	Presenter
Qualitative Research Design	Nelson Phillips
Introduction to R (group 1)	Iulia Cioroianu
Introduction to R (group 2)	Gabriel Katz
Structural Equation Modelling	Gabriel Katz
Qualitative Comparative Analysis (QCA)	Sean White

Research Methods Centre

In this section

CARMA

(Consortium for the Advancement of Research Methods and Analysis)

Quick Start

Centre members

Directors

Professor Justin Tumlinson

Professor Xiaohui Zhang

Affiliated members

Professor Giuseppe Cavaliere

Dr Berrin Erdogan

Professor Markus Fitza

Professor Ronit Kark

Professor Joe Labianca

Dr Jessica Methot

Professor Stefano Tasselli