2022 CARMA Live Online Short Courses

Europe & West/South Asia & Africa Regions

Light Over Darkness

Scholarship Program for Doctoral Students

About the Light over Darkness Scholarship Program

With our Light Over Darkness Scholarship Program, CARMA is responding to current global crises by increasing access to educational tools for research on organizational and social science topics. These tools include our CARMA Live Online Short Courses and our CARMA Video Library. Our hope is that by increasing this access, the needs of researchers will continue to be met as they and their institutions face challenges and constraints on their education systems during these difficult times (including war in Ukraine and COVID). Our hope is the education we will provide to scholarship recipients will allow them to better illuminate the phenomenon they investigate in their studies. CARMA believes that in the long run, science and new knowledge can be the building blocks of a better future. With this Scholarship Program, we hope to support progress towards this goal. Scholarships will be allocated on a first come – first serve basis until all available scholarships are taken.

With this Program, CARMA is providing a limited number of full scholarships for DOCTORAL STUDENTS in management/organization studies to its 2022 CARMA Live Online Short Courses for the Europe & West/South Asia & Africa Regions. Each scholarship covers the full Short Course registration fee of $325 for members and $650 for non-members per course.  A limit is placed of one scholarship per doctoral student. A scholarship can be used to attend one of our seven Live Online Short Courses offered during two, four-day sessions. Faculty from all universities are encouraged to participate in our Short Courses but are NOT eligible for scholarships.

About the Live Online Short Courses

Our Europe & West/South Asia & Africa Region courses will meet in mid-May. Session 1 occurs May 9-12; Session 2 May 16-19. Each week our courses will meet for five hours each day (Mon-Thur, 8:30 AM -1:30 PM London Time; GMT+1).  This schedule allows course participants the opportunity to take two back-to-back-to-back courses that complement one another (only one of these courses will be covered by a scholarship). All courses in a session are taught concurrently, so a participant can take only one course per session. Each course will be delivered live using Zoom via CARMA’s Virtual Global Classroom and consists of an even mix of lecture and hands-on experiential/lab activity with an application focus. Instructors are distinguished methodologists who are experienced teachers and accomplished scholars. The courses and instructors for both sessions are listed below.

Schedule and List of Courses

May 9-12, May 16-19, 2022 – Two Sessions, Seven Course Options

Session 1: May 9-12, Four Course Options | Session 2: May 16-19, Three Course Options

Session 1 (Choose One)                                                                                       Session 2 (Choose One)

  1. “Advanced Regression and Interactions” – Dr. Jeremy Dawson, Sheffield University
  2. “Introduction to Structural Equation Methods” – Dr. Jonas Lang, Ghent University 
  3. “Grounded Theory Method & Analysis” – Dr. Tine Koehler, The University of Melbourne
  4. “Qualitative Text Analysis using Digital Tools” – Dr. Christina Silver, University of Surrey
  1. “Introduction to Multilevel Analysis” – Dr. Vicente González-Romá, University of Valencia
  2. “Meta Analysis” – Dr. Mike Cheung – National University of Singapore
  3. “Case Study Methodology” – Dr. Catherine Welch, Trinity College Dublin

Note: Descriptions and instructor previews are provided below.

Time Schedule

Session I (May 9-12, 2022) and Session II (May 16-19, 2022)
City Country Time Zone Mon Tues Wed Thurs
London UK GMT+1 8:30AM – 1:30 PM 8:30AM – 1:30 PM 8:30AM – 1:30 PM 8:30AM – 1:30 PM

About Access to the CARMA Video Library

For doctoral students who are NOT at Institutional Member Schools, the Scholarship also includes full access to the CARMA Video Library. This Library includes over 200 recordings from prior CARMA Webcast Lectures and Panel Sessions. These recordings cover quantitative and qualitative methods for micro and macro research and include a mix of basic and advanced topics. For scholarship recipients, access is on-demand and free of charge until August 31, 2022.  For a complete listing of recordings in our Video Library click here.

Scholarship Allocation

Our Light Over Darkness Scholarships will be allocated differently to four groups of doctoral students. First, any university from Ukraine will be allocated up to five scholarships per school. The next three groups are based on their universities Institutional Membership status. Current Institutional Members for 2021-2022 will receive up to five scholarships for our Live Online Short Courses. Schools that are NOT current members but who have previously been an Institutional Member one or more years between 2017-18 and 2020-2021 will receive up to three scholarships. Finally, for universities who have never been an Institutional Member, one scholarship per school will be awarded. For doctoral students coming from Ukraine and the last two categories and who are NOT at a current Institutional Member School, the scholarship also includes full access to the CARMA Video Library. This Library includes over 200 recordings from prior CARMA Webcast Lectures and Panel Sessions. These recordings over quantitative and qualitative methods for micro and macro research and include a mix of basic and advanced topics.  For scholarship recipients, access is on-demand and free of charge until August 31, 2022.

  • All universities in Ukraine (5 per school)
  • Current Institutional Members (5 per school) see list below:
Aalto University Trinity College Dublin
Aarhus University University of  IULM
American University of Armenia University of Koblenz-Landau
Athens University of Economics and Business University of Birmingham
CASS Business School University of Bradford
Coller School of Management; Tel Aviv University University of Cambridge
Dublin CIty University Business School University of Edinburgh
Durham University University of Groningen
Erasmus University Rotterdam University of Jyväskylä
Frankfurt School of Finance & Management University of Klagenfurt
Ghent University University of Leeds
Grenoble Ecole de Management University of Neuchatel Switzerland
IIM Bangalore University of Porto
Imperial College – Tanaka Business School University of Sheffield
Indian Institute of Management; Calcutta University of St Andrews
Indian School of Business University of Surrey
ISCTE University of Valencia
Ludwig-Maximilians-University Munchen (LMU) University of Warwick
Middlesex University Vlerick Business School
Royal Holloway University of London WHU-Otto Beisheim
Sabanci University XLRI – Jamshedpur

  • Former Institutional Members (3 per school) see list below:
Bundeswehr University Munich Ruhr-University of Bochum
CBS International Business School University – Universita’ di Padova
Chalmers University of Technology University College Cork
De Montfort University University College of Southeast Norway
Indian Institute of  Management Kozhikode University of Bremen
Koc University University of Exeter
Lappeenranta University of Technology University of Liverpool
Management Development Institute University of Passau
Roskilde University University of St. Gallen

  • Non Institutional Members (1 per school)

Note: For doctoral students from former and non-institutional member schools, the scholarship also includes access to CARMA Video Library until August 31, 2022.

How to Apply for a Light Over Darkness Scholarship

  • Complete the “Scholarship Application Form“.
  • Within two days, you will receive a confirmation from CARMA when we approve your scholarship for a specific course.
  • Once your scholarship is approved, you need to pay $25 deposit to reserve your spot. (We will send the instructions for paying the deposit).

Note: We will refund your deposit after you complete the short course and the assessment.

Short Course Descriptions and Instructor Previews for Scholarship Courses

Session 1: May 9-12, Four Course Options (Choose One)

Option #1: “Advanced Regression and Interactions” – Dr. Jeremy Dawson, Sheffield University

Introduction Video by Dr. Dawson (Most Recent Version, May 2021)

This short course will begin with an introduction to linear regression analysis with R, including models for single/multiple predictors and methods to compare models. Particular attention will be paid to using regression to test models involving mediation and moderation, including nonlinear and higher order interactions. Further advanced topics will include the general linear model, generalized linear models including logistic regression and Poisson regression, and polynomial regression. For all topics, examples will be discussed and assignments completed using either data provided by the instructor or by the short course participants.

Required Software: R (R (download here) and RStudio (download here))

Option #2: “Introduction to Structural Equation Methods”– Dr. Jonas Lang, Ghent University 

Introduction Video by Dr. Lang (Most Recent Version, May 2021)

The Introduction to Structural Equation Methods Short Course provides (a) introductory coverage of latent variable techniques, including confirmatory factor analysis and structural equation methods with latent variables, (b) discussion of special issues related to the application of these techniques in organizational research, and (c) a comparison of these techniques with traditional analytical approaches. This Short Course will contain a balance of lecture and hands-on data analysis with examples and assignments, and emphasis will be placed on the application of SEM techniques to organizational research problems. Participants will:

  • develop skills required to conduct confirmatory latent variable data analysis, based on currently accepted practices, involving topics and research issues common to organizational research.
  • learn the conceptual and statistical assumptions underlying confirmatory latent variable analysis.
  • learn how to implement data analysis techniques using software programs for confirmatory modeling. Special emphasis will also be placed on the generation and interpretation of results using LAVAAN and Mplus.
  • learn how latent variable techniques can be applied to contemporary research issues in organizational research.
  • learn how the application of current latent variable techniques in organizational research differs from traditional techniques used in this literature
  • complete in-class exercises using LAVAAN and Mplus.

Required Software: R installed with LAVAAN package (R (download here), RStudio (download here)) or Mplus

Option #3: “Grounded Theory Method & Analysis” – Dr. Tine Koehler, The University of Melbourne

Introduction Video by Dr. Koehler (Most Recent Version, May 2021)

The purpose of this workshop is to introduce researchers to the underlying tenets of the grounded theory approach and to aid them in designing and conducting a grounded theory study. In the course, we will cover the following three major topics: (a) Understanding the approach and different methodological traditions, (b) designing a grounded theory study, (i.e., data collection methods, purposive sampling, gaining access, sources, triangulation), and (c) analyzing data following the grounded theory method (i.e., different approaches to coding, constant comparison, memoing, triangulation, theoretical saturation, etc.). Furthermore, the workshop will provide specific examples of practical challenges and strategies to manage them. No software is necessary for this course. Participants are invited to bring samples of their own data to the course.

Option #4: “Qualitative Text Analysis using Digital Tools” – Dr. Christina Silver, University of Surrey

This workshop introduces methods and tools for qualitative text analysis, to aid researchers in planning and undertaking analysis using digital tools designed for the purpose. We begin with an overview of traditions in text analysis, spanning the methodological spectrum, and the range of digital tools designed to facilitate these approaches. Using one of the leading Computer Assisted Qualitative Data AnalysiS (CAQDAS) programs as an example – MAXQDA (www.maxqda.com) – we bring methods to life by  implementing an analysis, focusing on common analytic activities and how they can be accomplished using software tools. This involves preparing texts for analysis, importing and organising texts, exploring content and building dictionaries, coding texts using both inductive and deductive approaches, managing interpretations through analytic note-taking, summarising and mapping, interrogating patterns and relationships and visualising and reporting. Participants will be provided with a training version of the software to follow this course, and are invited to use their own data throughout the course, as well as sample texts provided.

Session 2: May 16-19, Three Course Options (Choose One)

Option #1: “Introduction to Multilevel Analysis” – Dr. Vicente González-Romá, University of Valencia

Introduction Video by Dr. Gonzalez-Roma (Most Recent Version, May 2021)

Multilevel analysis allows researchers to estimate relationships between variables that span across different levels of analysis (e.g., individual, group, organization). For instance, is a team’s climate related to employee satisfaction? Does the relationship between employee job stress and wellbeing depend on team leadership? In this course, participants will learn: a. the logic underlying multilevel analysis, b. how to build basic multilevel models, c. how to estimate these models by using SPSS, and d. how to interpret the involved parameters. After acquiring a base knowledge, participants will practice multilevel analysis with real data.

Required Software: SPSS

Option #2: “Meta Analysis” – Dr. Mike Cheung – National University of Singapore

Introduction Video by Dr. Cheung (Most Recent Version, May 2021)

When there are more and more publications and research findings, it is challenging to comprehend these results scientifically. The systematic review provides well-accepted procedures to identify and extract information relevant to the problems. Meta-analysis is the de facto statistical technique to synthesize research findings in educational, social, behavioral, and medical sciences.

This workshop provides a practical introduction to systematic review and meta-analysis using the open-source R statistical platform. We will also cover advanced techniques, such as handling non-independent effect sizes and meta-analytic structural equation modeling (MASEM).

This course attempts to achieve the following objectives: (1) learn essential ideas of systematic review; (2) learn basic and advanced techniques in the meta-analysis; (3) know how to conduct and interpret meta-analysis in R. Participants are expected to have basic knowledge of regression analysis. Proficiency in R is not required.

Option #3: “Case Study Methodology” – Dr. Catherine Welch, Trinity College Dublin

Introduction Video by Dr. Welch (Most Recent Version, May 2021)

This short course provides an overview of recent trends and debates on the case study in management and organization research. The case study is a popular methodological choice for management researchers, but what differentiates the case study from other approaches to qualitative research? What are the different options that researchers have when designing a case study? As researchers, how can we theorize from case studies? How can we evaluate the quality of a case study? What is the ‘disciplinary convention’ regarding the case study in your own field of research, and why does it matter? What are your options when writing up your case study for publication? What are the current trends in case research in top management journals? What can management researchers learn from case study developments in other fields, such as political science? Detailed course notes, examples and relevant literature will be provided to course participants.

Short Course Registration includes recorded CARMA Workshop: Basics of R.

This four-hour Workshop provides information on the package R to prepare attendees for follow-up training in CARMA Short Courses that use R. By attending this online workshop, participants will learn basic skills for using the R Studio interface to: load and activate R packages, import and manage data, and create and execute syntax. Having these basic skills will allow Short Course participants to more easily learn about use of R for data analysis and will enable Short Course instructors to better plan and deliver their content. This Workshop is free of charge and only available to those who will be attending one of the CARMA Short Courses. It will be available on-line.

During this Basics of R Workshop, attendees will learn:
1. Using R through the R Studio interface
2. Importing data into R
3. R data sets (a.k.a data frames and tibbles)
4. Data types
5. Subsetting columns of data and selecting cases
6. Recoding data and dealing with missing data
7. Merging data (columns and rows)
8. Output objects
9. User defined functions
10. Getting help