Judith MichaelApr 17, 2024
Would you like to share current and/or preliminary results and hold in-depth #discussions? Find your favorite #workshop at #MODELSconf24 and submit your work!
This year, we are offering 13 workshops on: #sustainability #AI #MDE #CollaborativeModeling #Automotive #SoftwareEngineering #SystemsEngineering #VisualModeling #MultiLevelModeling #LowCode #CPS #ModelManagement #Evolution #Verification #ModelingLanguageEngineering #Teaching
Deadline July 5th.
https://conf.researchr.org/track/models-2024/models-2024-workshops#Accepted-workshops
MODELS 2024 - Workshops - MODELS 2024

About Following the tradition of previous conferences, MODELS 2024 will host a number of workshops, during the three days before the main conference. The workshops will provide a collaborative forum for a group of typically 15 to 30 participants to exchange recent and/or preliminary results, conduct intensive discussions on a particular topic, or coordinate efforts between representatives of a technical community. They are intended as a forum for lively discussions of innovative ideas, recent progress, or practical experience on model-driven engineering for specific aspects, specific prob ...

Wolfgang ViechtbauerSep 30, 2023

Very important work by James Pustejovsky (@jepusto), Jingru Zhang (not on Mastodon as far as I can tell), and Elizabeth Tipton (@stats_tipton) on how to conduct meta-regression analyses when at least some studies provide multiple (possibly dependent) effect size estimates corresponding to different values of the moderator:

https://www.jepusto.com/talk/sree-2023-equity-related-moderator-analysis/

In general, there are a lot of lessons from the multilevel literature we can learn from.

#MetaAnalysis #MetaRegression #MultilevelModeling

Equity-related moderator analysis in syntheses of dependent effect sizes: Conceptual and statistical considerations | James E. Pustejovsky

Background/Context In meta-analyses examining educational interventions, researchers seek to understand the distribution of intervention impacts, in order to draw generalizations about what works, for whom, and under what conditions. One common way to examine equity implications in such reviews is through moderator analysis, which involves modeling how intervention effect sizes vary depending on the characteristics of primary study participants.

James E. Pustejovsky
Jan R. BoehnkeSep 20, 2023

Another #PeerReview finished.

Paper ~ 7000 words
Review ~ 2000 words
Duration ~ 2 hours

I notice a long manuscript less, if it is well-written. Main point here once again:

#MixedModels are difficult to report. This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): https://www.sciencedirect.com/science/article/pii/S0749596X20300061

The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

#MultilevelModeling

Jan R. BoehnkeSep 18, 2023

Another #PeerReview finished.

Paper ~ 7000 words
Review ~ 2000 words
Duration ~ 2 hours

You notice a long manuscript less, if it is well-written.

Main point here once again: #MixedModels are difficult to report.

This paper offers a lot of detail on how to develop such a project and report it (especially Table 7): https://www.sciencedirect.com/science/article/pii/S0749596X20300061

The chapter in Hancock & Mueller's "The reviewer's guide to quantitative methods in the social sciences" is also very helpful.

#MultilevelModeling