Mild introduction to Structural Equation Modeling (SEM) using R
The recording from UseR Oslo's meetup 28/05/2020, https://www.meetup.com/Oslo-useR-Group/events/265662967/
Description:
When working with data, we often want to create models to predict future events, but we also want an even deeper understanding of how our data is causally connected or structured. In this workshop, we explored the connectedness of data using structural equation modeling (SEM) with the {lavaan} package.
The packages used in this video is lavaan, semPlot, MPsychoR and corrplot. We recommend that you have these packages installed prior to the starting if you want to follow activly. Below is a line of code you can use.
install.packages(c("lavaan", "semPlot", "MPsychoR", "corrplot"))
The speaker, Ronny Scherer, received his PhD from Humboldt-Universität zu Berlin in 2012, and is currently working at the Centre for Educational Measurement, University of Oslo (CEMO). His research and teaching cover structural equation modeling, meta-analysis, computer-based assessments, and multilevel analysis. Ronny is coordinating the Measurement Models course at CEMO.
Slides and code used in the video can be found here:
Slides:
https://www.uv.uio.no/cemo/english/people/aca/ronnysc/user-sem-28052020.pdf
Code:
https://www.uv.uio.no/cemo/english/people/aca/ronnysc/user-sem-lavaan.pdf
To join one of our live meetups, check out https://www.meetup.com/Oslo-useR-Group/events/265662967/
Timestamps:
0:00:00 Start
0:00:39 Welcome and introduction to the workshop
0:05:57 Structural equation modeling—Why? Definition and advantages
0:14:45 Structural equation modeling—What? Examples from different disciplines
0:22:45 Structural equation modeling—How? Steps taken in SEM
0:35:54 Illustrative example—Model 1: Linear regression
0:41:48 Implementation of Model 1 in lavaan
1:09:53 Testing the equality of (unstandardized) regression parameters in Model 1
1:16:26 Illustrative example—Model 2: Mediation model
1:20:00 Implementation of Model 2 in lavaan
1:30:07 Illustrative example—Model 3: Confirmatory factor analysis
1:34:58 Implementation of Model 3 in lavaan
1:48:54 Illustrative example—Model 3b: Confirmatory factor analysis modified
1:51:28 Implementation of Model 3b in lavaan and model comparison
2:04:33 Illustrative example—Model 4: Structural equation model
2:05:58 Implementation of Model 4 in lavaan
2:19:15 Illustrative example—Model 5: Multi-group structural equation model
2:21:00 Data issues in SEM—What if’s and possible solutions
Видео Mild introduction to Structural Equation Modeling (SEM) using R канала UseR Oslo
Description:
When working with data, we often want to create models to predict future events, but we also want an even deeper understanding of how our data is causally connected or structured. In this workshop, we explored the connectedness of data using structural equation modeling (SEM) with the {lavaan} package.
The packages used in this video is lavaan, semPlot, MPsychoR and corrplot. We recommend that you have these packages installed prior to the starting if you want to follow activly. Below is a line of code you can use.
install.packages(c("lavaan", "semPlot", "MPsychoR", "corrplot"))
The speaker, Ronny Scherer, received his PhD from Humboldt-Universität zu Berlin in 2012, and is currently working at the Centre for Educational Measurement, University of Oslo (CEMO). His research and teaching cover structural equation modeling, meta-analysis, computer-based assessments, and multilevel analysis. Ronny is coordinating the Measurement Models course at CEMO.
Slides and code used in the video can be found here:
Slides:
https://www.uv.uio.no/cemo/english/people/aca/ronnysc/user-sem-28052020.pdf
Code:
https://www.uv.uio.no/cemo/english/people/aca/ronnysc/user-sem-lavaan.pdf
To join one of our live meetups, check out https://www.meetup.com/Oslo-useR-Group/events/265662967/
Timestamps:
0:00:00 Start
0:00:39 Welcome and introduction to the workshop
0:05:57 Structural equation modeling—Why? Definition and advantages
0:14:45 Structural equation modeling—What? Examples from different disciplines
0:22:45 Structural equation modeling—How? Steps taken in SEM
0:35:54 Illustrative example—Model 1: Linear regression
0:41:48 Implementation of Model 1 in lavaan
1:09:53 Testing the equality of (unstandardized) regression parameters in Model 1
1:16:26 Illustrative example—Model 2: Mediation model
1:20:00 Implementation of Model 2 in lavaan
1:30:07 Illustrative example—Model 3: Confirmatory factor analysis
1:34:58 Implementation of Model 3 in lavaan
1:48:54 Illustrative example—Model 3b: Confirmatory factor analysis modified
1:51:28 Implementation of Model 3b in lavaan and model comparison
2:04:33 Illustrative example—Model 4: Structural equation model
2:05:58 Implementation of Model 4 in lavaan
2:19:15 Illustrative example—Model 5: Multi-group structural equation model
2:21:00 Data issues in SEM—What if’s and possible solutions
Видео Mild introduction to Structural Equation Modeling (SEM) using R канала UseR Oslo
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