RO 
EN The following pre-conference workshops are dedicated (mainly) to the scholars at the beginning of their career. Students and PhD students will have priority, and the available places will be occupied in the order of registration. Please note that the workshops will be held simultaneously. Contact the organisers for any inquiries.
Mixed Methods Research: Key Concepts and Considerations – Jason Disano
Jason is the Director of the Social Sciences Research Laboratories (http://ssrl.usask.ca) and an Associate Member of the Department of Sociology at the University of Saskatchewan, located in Saskatoon, Canada.
Since joining the SSRL, Jason has shepherded the unit through a period of continuous growth and maturation, overseeing its evolution and the development of appropriate policies and practices to ensure timely and relevant research supports are available to the university and the community more broadly. As Director, Jason envisions, leverages and supports research and partnership opportunities for the SSRL and works to ensure the long-term success and viability of the unit as a valued resource for social science researchers. He is responsible for the strategic direction of the SSRL and prioritizes efforts and initiatives that seek to ensure the SSRL, and the University of Saskatchewan by extension, is nationally and internationally recognized as a leader in planning, supporting and conducting social science research. Jason regularly works with faculty and senior administrators to identify and leverage opportunities that bridge the academic and research and discovery missions of the university and he regularly engages community partners to identify and explore research of mutual interest. Prior to joining the SSRL, Jason held a number of increasingly senior positions in both the public and private sectors. Jason presently holds an MA from the University of Saskatchewan and a BSc (Hons) from Lake Superior State University.
| WORKSHOP TITLE: |
| Mixed Methods Research: Key Concepts and Considerations |
| LENGTH: |
| 4.5 Hours |
| OVERVIEW: |
| This workshop will introduce participants to the emerging field of mixed methods research. We will discuss some of the advantages and challenges that emerge when using mixed methods designs, and review considerations for designing a mixed methods study, including some of the common design models. Further, we will review the various ways in which data may be collected in mixed methods studies. By the end of this workshop, participants will be able to articulate the advantages and challenges of mixed methods research and plan a basic mixed methods study in their field of research. This workshop will provide an opportunity to practice the design and application of mixed methods to wicked problems using collaborative strategies. |
| OTHER PREREQUISITES: |
| Prior exposure to quantitative and/or qualitative research methods would be advantageous to participants. |
| MINIMUM AND MAXIMUM NO. OF REGISTRANTS: |
| 30 Maximum |
| OTHER INFORMATION: |
| None |
Qualitative data in social research – Florentina Scârneci-Domnișoru
Florentina is a doctor in sociology and an associate professor in the Social Sciences and Communication Department at the ‘Transilvania’ University of Brasov, Romania; she has been teaching since 2000. Her research and teaching focus on qualitative methods, identity and visual sociology. In her writings and speeches, she pleads for more methodological creativity and freedom; she likes to promote artistic forms of presentation of sociological research results (such as visual essay or storytelling); and she is very interested in innovative research techniques.
Florentina has published numerous methodological books and articles on qualitative approaches (such as ethnography or grounded theory) and on qualitative methods and techniques for data collection and analysis (such as unstructured interview, narrative interview, visual elicitation or photovoice). Her newest book (the first one ever published in Romania about visual research) is ‘Visual data in social research’ (Cluj University Press, 2016) and her newest publication is the first methodological article ever written on analogy technique – “‘If You Were an Animal, a Plant, a Meal, a Car… What Would You Be?’. The Use of Analogy in the Study of Identity Traits”, published in ‘Czech Sociological Review’, 2019.
E-mail: fscarneci@unitbv.ro
| WORKSHOP TITLE: |
| Qualitative data in social research |
| LENGTH: |
| 5 hours |
| OVERVIEW: |
| The workshop offers a 3-hour lecture on the use of textual and visual data in research. It will cover, among other things, special data collection techniques like collaborative, creative or digital techniques, coding procedures, visual grounded theory and some basic features of NVivo. The workshop proposes then an hour of debate on specific issues such as the use of documents in research or the theoretical sampling; there will also be presented some real problematic research situations in which the participants are called to offer solutions. Finally, the last hour is dedicated to the participants’ questions; their own research projects can be discussed. |
| OTHER PREREQUISITES: |
| None |
| MINIMUM AND MAXIMUM NO. OF REGISTRANTS: |
| Min 10 and max 50. |
| OTHER INFORMATION: |
| None |
Introduction to multilevel analysis using R – Alexandru Cernat
Alexandru Cernat is a lecturer in the social statistics department at the University of Manchester. He has a PhD in survey methodology from the University of Essex and was a post-doc at the National Centre for Research Methods and the Cathie Marsh Institute. His research and teaching focus on: survey methodology, longitudinal data, measurement error, latent variable modelling, new forms of data and missing data. You can find out more about him and his research at: www.alexcernat.com
| WORKSHOP TITLE: |
| Introduction to multilevel analysis using R |
| LENGTH: |
| Six hours |
| OVERVIEW: |
| The multilevel model is an essential tool that allows researchers to investigate data that is nested in nature (e.g., pupils in schools, individual in countries, time in individuals). In this course you will learn the basics of multilevel modeling as well how to implement it using R. The lecture will include a combination of lectures and hands on exercises using R. |
| OTHER PREREQUISITES: |
| A good understanding of regression modeling is essential. |
| MINIMUM AND MAXIMUM NO. OF REGISTRANTS: |
| Up to 25 students. |
| OTHER INFORMATION: |
| Please bring a laptop that has the latest version of R and Rstudio for the practical section. Make sure you are able to install packages. If that is not possible insure you have installed the following packages before coming: tidyverse, lme4, lattice.
Also, please register in advance to the European Social Survey website so you can access the data. This can be done here: https://www.europeansocialsurvey.org/user/new |