Instats is pleased to announce five new livestreaming 1-hour introductions to NVivo, MAXQDA, ATLAS.ti, Dedoose, and QDA Miner by Dr Christina Silver, manager of the CAQDAS Networking Project. Registration for these introductions to leading qualitative software packages is entirely free, and each workshop is designed to provide participants with a dynamic overview of the software interfaces, importing and managing data, coding and analysis methods, and visualization and reporting tools. To register for free, you can use the following links -- and please feel free to tell any colleagues or students who you think might be interested!
Head over to instats.org today to check out our many upcoming livestream seminars as well as our library of on-demand offerings. With any questions please feel free to get in touch at info@instats.org. Upcoming Live-Streaming Seminars |
Live-streaming seminars are delivered over 2 days and include interactive tutorials, discussion, and activities. To enable asynchronous learning, recordings of all sessions and instructor support are available for 30 days. |
May 31st & June 1st
Instructor: Dr Tenko Raykov
Measurement and Quantitative Methods Graduate Program,
Michigan State University
This workshop covers mechanisms (types) and patterns of missing data, and state-of-the-art best practices for handling missingness: (1) full information maximum likelihood and (2) multiple imputation methods. The flaws of traditional methods for dealing with missing data will also be covered and hands-on illustrations using real world data will be provided throughout using the highly popular latent variable modeling package Mplus. No prior knowledge of Mplus is assumed or required, and all data examples used are carried out with the freely downloadable demo version.
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June 5th, 6th & 7th
Instructor: Dr Dave Armstrong
Centre for Computational and Quantitative Social Science, University of Western Ontario
This seminar introduces interactive graphs that can be made easily in R and shows how to incorporate those interactive elements into a dashboard that you can use to powerfully communicate your research results. Topics include an overview of ggplots, turning ggplots into interactive visualizations, making interactive network graphs and maps, and combining interactive elements into dashboards. Finally, we discuss how to host these dashboards so others can interact with them.
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June 5th, 6th, & 7th
Instructor: Dr Mariola Moeyaert School of Education, University at Albany, and Statistical Solutions Inc.
This seminar will introduce you to advanced meta-analytic methods. Commonly encountered meta-analytic topics and issues will be covered, including meta-regression models, methods for handling multiple effect sizes per study (i.e., dependent effect sizes), missing data, publication bias, meta-analysis SEM, and single-case experiments meta-analysis. During this seminar, participants will learn how to use RStudio to model these commonly encountered complexities. Hands-on exercises will be incorporated throughout the seminar.
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