Practical Applications of Mixed Methods Research
Date, Time and Location
Tuesday, November 20, 2018
9:00 AM – 12:00 PM
Room 256, Arts Building
This introductory workshop is designed to introduce the basics of Mixed Methods research (or the mixing of qualitative and quantitative research methods within a single framework to gain a greater understanding of a research problem). Attendees will learn about this “third method” including its foundations, basic designs, and key considerations in designing and applying a mixed approach to their research. An understanding of mixed methods designs may help you answer a fuller breadth and depth of research questions in your area of interest. We will use real-world examples to illustrate the wide application of mixed methods and the potential for addressing various research problems across disciplines.
Students (undergraduate and graduate), faculty, and staff who have little or no experience with mixed methods, and would like to learn how it can help them in their research.
Marla Rogers, Mixed Methods Research Manager and Specialist, SSRL
There is no cost to attend; however, we do require a $50.00 deposit to ensure your attendance. Deposits will be returned after successful attendance at the workshop.
Registrations must be received no later than November 15, 2018.
To register, you will need to bring a deposit of $50.00 to the SSRL General Office. Deposits may be provided to the SSRL in the form of cash or a cheque (cheque must be made payable to the University of Saskatchewan) and must be submitted to the SSRL General Office either in-person or through Canada Post or campus mail. Please do not mail cash. Credit cards are not accepted.
Social Sciences Research Laboratories (SSRL)
Room 260, Arts Building
9 Campus Drive
Saskatoon, SK S7N 5A5
The SSRL offers regularly-scheduled training in NVivo 12 Pro for Windows.
The two-hour introductory NVivo 12 Pro for Windows training session utilizes a hands-on approach with a sample data set. The instructor introduces users to working with data in NVivo (importing, opening, and organizing various file types), guides learners through exploring and coding data in order to analyze for themes, and demonstrates novel program features. This workshop is most helpful for beginners or those who would like a refresher on how to manage and categorize data in order to enhance their thematic analysis skills and gain overall insight as to how NVivo for Windows is used in qualitative research.
Registration is open to all University of Saskatchewan faculty, students and staff, and employees of government, non-governmental organizations and community-based organizations. Registrations are processed on a first-come, first-served basis.
$50.00 plus GST. A cancellation fee of $20.00 plus GST is assessed if canceled at least one week prior to the session. Refunds will not be issued if canceled within one week of the session.
- Tuesday, November 27, 2018, 1:30 PM - 3:30 PM
- Tuesday, December 11, 2018, 1:30 PM - 3:30 PM
All sessions are held in the Murray Library, Room 161.
For more information, please contact the course instructor, Rachel Tang at firstname.lastname@example.org or (306) 966-6319.
SSRL YouTube Channel
The SSRL YouTube Channel features new and archived videos from select SSRL workshops, lectures and events.
Social Network Analysis Discussion Group
Organized by our Social Network Laboratory (SNL), the Social Network Analysis Discussion Group was established to bring together faculty, students and the general public who have experience or an interest in exploring and studying social networks. Through a monthly discussion series, we hope the discussion group will help to build and enhance community, collaboration, and knowledge and awareness of social network analysis, covering areas that range from basic research on social networks to advanced methods of network analysis.
We are pleased to invite you to our first discussion group meeting of this academic year on Social Network Analysis.
Our guest, Stefan Breet will join us remotely from Rotterdam School of Management, Erasmus University and he will present a working paper in which together with his co-authors explore the following question: does someone need a broker position to be innovative or not? In their research they combine social network analysis with Necessary Condition Analysis (NCA)—a novel methodology that can be used to determine whether a certain condition (X) is necessary but not sufficient for a certain outcome (Y). Stefan will discuss the theoretical foundations of their research question as well as the logic behind NCA and its application to social network data.
Date, Time and Location
Thursday, October 18, 2018
11:00 AM - 12:30 PM
Room 256, Arts Building
Due to limited space availability, please RSVP to Ana-Maria Bogdan at email@example.com.
We know that brokerage—the extent to which a person connects otherwise unconnected people—has a positive effect on the innovative performance of employees. In contrast to people who are part of strongly connected groups, brokers have access to diverse information that triggers their creativity and the generation of novel ideas. Moreover, it is easier for brokers to challenge the status quo as their behavior is not constrained by strong group norms and their ideas are not influenced by group think. What we do not know, however, is whether brokerage is necessary for innovative performance, such that high levels of innovative performance can only be achieved with high levels of brokerage. Although the literature on brokerage clearly supports its positive effect on innovative performance, more recent studies suggest that people in closed networks have the same innovative potential as brokers do. According to this perspective, people can compensate for the negative effects of network closure by adopting a certain cognitive style or increasing the bandwidth of their relationships.
Brokerage & Innovative Performance
- Burt, R. S. (2004). Structural Holes and Good Ideas. American Journal of Sociology, 110(2), 349–99. (Link)
- Burt, R. S. (2005). Brokerage and Closure: An Introduction to Social Capital. New York: Oxford University Press.
- Carnabuci, G., & Dioszegi, B. (2015). Social Networks, Cognitive Style, and Innovative Performance: A Contingency Perspective. Academy of Management Journal, 58(3), 881–905. (Link)
Necessary Condition Analysis
- Dul, J. (2015). Necessary Condition Analysis: More Value from Data. RSM Discovery, 23, 8–11. (Link)
- Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and Methodology of “Necessary but Not Sufficient” Causality. Organizational Research Methods, 19(1), 10–52. (Link)
- Breet, J. S., van Rhee, H., & Dul, J. (2018). Necessary Condition Analysis (NCA) in Three Steps: A Demonstration. (Link)