Structural Equation Modeling in Open-Source Software

Simple item page
dc.contributor.authorWild, Justin
dc.date.accessioned2017-12-01T21:23:42Z
dc.date.available2017-12-01T21:23:42Z
dc.date.issued2017-12-01
dc.descriptionJustin Wild is a doctoral candidate at Indiana University studying Education Policy Studies, with a concentration in International and Comparative Education, and Inquiry Methodology. He has a Master’s of Arts in African Studies and a Master’s of Public Affairs from Indiana University. His research addresses K-12 language of instruction, language ecology, foreign language learning, evaluation in education, large-scale assessments, multi-method research, and cross-cultural issues. His geographic focus is Tanzania, East Africa.
dc.description.abstractStructural Equation Modeling (SEM) offers flexible statistical models for the social science researcher. A variety of software packages are available for implementing SEM with researchers’ datasets and are becoming increasingly sophisticated. This talk will briefly outline SEM in comparison with more familiar statistical models (such as linear regression) and review several R packages tailored for the SEM community. In addition, these packages are compared to perhaps the most well-known commercial package available, MPlus.
dc.identifier.urihttps://hdl.handle.net/2022/21825
dc.language.isoen
dc.publisherIndiana University Workshop in Methods
dc.subjectWorkshop in Methods
dc.subjectstructural equation modeling
dc.subjectstatistics
dc.titleStructural Equation Modeling in Open-Source Software
dc.typePresentation

Files

Original bundle

Now showing 1 - 3 of 3
Thumbnail Image
Name:
2017-12-01_wim_wild_sem_flyer.pdf
Size:
42.86 KB
Format:
Adobe Portable Document Format
Description:
Event flyer
Download
Thumbnail Image
Name:
2017-12-01_wim_wild_sem_slides.pdf
Size:
1.32 MB
Format:
Adobe Portable Document Format
Description:
Presentation slides
Download
Thumbnail Image
Name:
2017-12-01_wim_wild_sem_exercise-files.zip
Size:
196.28 KB
Format:
Unknown data format
Description:
Exercise files
Download

Collections

Workshop in Methods
Can’t use the file because of accessibility barriers? Contact us