1&1 Webinar on Latent Class Analysis (LCA) with Bethany Bray

  Рет қаралды 21,806

methodsctr

methodsctr

Күн бұрын

For more information about latent class analysis (LCA) or Bethany Bray's research, please visit methodology.psu.edu.
The Methodology Center develops methods for design and data analysis in the social, behavioral, and health sciences. Our design projects include methods for
• adaptive interventions,
• just-in-time adaptive interventions for mHealth, and
• optimizing interventions.
Our analysis projects include development and extension of
• latent class models,
• time-varying effect models,
• methods for intensive longitudinal data, and
• models for selecting candidate variables in data sets with huge numbers of variables (like genetic data).
If you are interested in seeing videos related to any of these topics, please let us know in the comments!

Пікірлер: 18
@pablovalencia7634
@pablovalencia7634 7 ай бұрын
This was really really helpful. If Dr. Bray reads this comment some day, I want to say THANK YOU!
@erinalexander9554
@erinalexander9554 4 жыл бұрын
This is so incredibly helpful! Thank you so much. I recommend watching through the Q and A session - it answered several questions I had.
@bumblebee7597
@bumblebee7597 Жыл бұрын
I took a workshop on LCA with Dr Bray in June 2021. She's incredible! Thank you Dr Bethany Bray
@tingyang5619
@tingyang5619 3 жыл бұрын
Thank you so much! I found your webinar exceedingly helpful! One thing I have is that I found it a little confusing to discuss EFA and LCA together without pointing out their difference in that EFA groups items, while LCA classifies subjects.
@Davao420
@Davao420 2 жыл бұрын
omg this was very clear, I love this person
@ramchandracheke
@ramchandracheke 5 жыл бұрын
Thank you so much !
@coeus_3922
@coeus_3922 3 жыл бұрын
This was so helpful! Easily the most useful resource on the subject. Thank you so much for explaining it with such lucidity.
@kanyaanindya8299
@kanyaanindya8299 3 жыл бұрын
Thank you very much for this enlightening presentation!
@amanrastogi603
@amanrastogi603 Жыл бұрын
thanks for your time
@lauratan4392
@lauratan4392 3 жыл бұрын
This helps me a lot. Thank you so much.
@kjwhitma
@kjwhitma 4 жыл бұрын
This is an excellent overview!
@ek_tango
@ek_tango 2 жыл бұрын
This webinar is amazing. Extremely helpful. Thanks a lot, Dr. Bray! 1:04:07 What are the major differences between LCA and LPA?
@mariog.9464
@mariog.9464 4 жыл бұрын
Good webinar - thanks.
@carlajorge4118
@carlajorge4118 3 жыл бұрын
This webinar was so helpful. Thank you very much for presenting on this topic, Bethany. I am interested on extending the classic LCA to spatial LCA. Can you recommend good references? I found one by Melanie Wall. Again, thank you so much.
@thomaspgumpel8543
@thomaspgumpel8543 2 жыл бұрын
very good, thank you. Can you recommend any resources for doing the new 3 step approach?
@wenyuanliu4602
@wenyuanliu4602 5 жыл бұрын
Hi, Bethany, thanks for presenting on this topic. I have a question when recently I did my secondary analysis with the LCA of a 5-point Likert Scale measuring life satisfaction, which means there are 5 categories ranging from 'very satisfied' to 'very satisfied'. I noticed you have some responses within the lecture, yet I still confused about it. Should I coded them into three categories only encompassing 'dissatisfied', 'neither' and 'satisfied' because nearly the half of endorsements fall in 'nether '. Besides, which category should I choose to present the class results or have to list all categories? Thanks for your attention and look forward to your responses, thanks!
@judycalvo5127
@judycalvo5127 Жыл бұрын
HI! I'm working at a mental health organization, and looking to use LCA to categorize types of children using the CAN5+ assessment, and I am curious as to how one could label the individuals in the data and then compare these children by latent class to their treatment outcomes. I am a beginner with LCA, but have worked in the past with factor analysis and prinicipal components.
@arielacosta7531
@arielacosta7531 3 жыл бұрын
Now I'm curious about LPA
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