In the virtual MethodLabs, we explore new methods and research designs through webinars. Each MethodLab lasts for approximately 90 minutes and is interactive – so come prepared to have deeper discussions! The events are free, but registration is required.
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31.03.2020, 15.00 CET: A Primer on Meta-Analysis
Meta-analysis is a powerful method to synthesize research evidence. Defined as an “analysis of analyses” (Glass, 1976), this webinar aims to offer a primer on what meta-analysis is and how we can use it in research on learning and instruction. More specifically, we will focus on three questions.
- First, how do we search for literature to include in our meta-analysis?
- Second, how do we code and analyze the included studies?
- And third, how do we write a scientific report on the outcomes of our meta-analytic review?
We will aim to answer these questions based on provided examples and shared discussions among the webinar participants. In closing the webinar, we will also discuss what journal reviewers typically look for when evaluating a meta-analytic manuscript submitted to a journal in the field of research on learning and instruction.
Speaker: Andreas Gegenfurtner
11.03.2020, 16.00 CET: Activity theory and social network analysis
Speaker: Victoria Murphy
Activity theory and social network analysis are both frameworks that draw on specific theories, methods, and analysis techniques. This webinar will go through some of the common approaches of both frameworks, starting from the theories and then thinking about how these have been operationalised in research designs. The session will finish with consideration of whether the two can be combined and if so, how.
21.02.2020, 15.00 CET: Qualitative analysis of multimodal data
Speaker: Crina Damsa
This webinar will offer insights into what it means to analyze rich sets of qualitative data. This data, for example, (video)recordings of verbal or non-verbal interaction, interviews, observations, require in-depth analyses and sophisticated interpretations. The aim is to support participants to understand qualitative content analysis in connection with other types of analyses applied to rich datasets. For example, interaction analysis supports interpretations of dialogues in educational contexts; while, other data can be used to generate complementary interpretations. The aim will be addressed by:
a) Presenting and discussing foundations for thinking and working qualitatively;
b) Exploring and coding sampled interaction data; engaging in-depth with a data excerpt generated through coding;
c) Relating the sampled data to other data types and combining interpretations.
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