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Introduction to Latent Class & Latent Profile Analysis - Shared screen with speaker view
Garth
57:35
Unable to open the pdf slides password does not seem to work
Nyssa Snow-Hill
58:12
I had to download the zip file.
KAITLYN STORMES
58:17
@garth I think you have to download the zip file. I noticed you can’t click on them directly.
peishanyen
01:27:56
Could we use the result LCA as the golden standard of the clinical diagnosis for depression groups (no depression, mild depression, major depression), instead of using threshold for total score? Because some cases with middle total scores does not mean they do not have major depression. So, LCA is a better way to identify TRUE categorial outcome?
Jin Park
01:38:06
I have a question.
Jin Park
01:39:56
What is the yardstick (cutpoint) to say that an item belongs to a the group? Is it intuitively understood or is there are particular number or above it should be categorized in the group?
peishanyen
01:43:10
Totally understood! THANK YOU!!
Jin Park
01:43:50
either way.
Mary Hannan
01:44:21
Other than making sure the survey items used ask questions that can clearly delineate how the groups are qualitatively different, are there any other "requirements" for the survey that would be used as your indicators? (i.e. does that survey have to have a certain number of survey questions, certain threshold of reliability/validity, etc.) And as the researcher, if we are using survey items that are continuous, can we as the researcher categorize them to turn them into categories (if it has been done in the literature)?
Jin Park
01:47:43
Thank you.
Patricia
01:54:49
Would it be helpful to use NPP, PPP, sensitivity or specificity data if available to select items from a larger pool of items?
Mary Hannan
01:58:37
Yes, thank you!
Garth
02:01:11
Could you share that paper or citation?
Patricia
02:02:41
Thank you.
Jin Park
02:04:11
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2726788/
Patricia
02:10:41
Class 1 - Non-drinker
Noah Tye
02:10:46
Never drink before
Vikki Lynn Rompala
02:11:05
no alcohol use
Jordan Smith
02:11:31
Heavy drinker
Rachel Lane
02:11:58
Current drinker
Larisa A Burke
02:12:11
Binge drinker
Rebecca
02:12:46
Just quit drinking
Jen Glayzer
02:12:54
occasional drinker
Noah Tye
02:13:09
Had a drink in the year
Garth
02:18:16
reflective
Garth
02:18:21
Yay I won!
Noah Tye
02:18:24
Can you give a definition?
Jen Glayzer
02:19:30
boxes
Patricia
02:19:36
the dots?
Uchechi Mitchell
02:19:40
the circle
Mary Hannan
02:19:41
inside the circle
copefeurer
02:19:48
in the latent drinking classes variable
Noah Tye
02:40:44
Is there a guide book (how to manual) for how to run the examples in SAS? I have never used SAS before.
Patricia
02:41:02
And in SPSS?
Sabrina Katherine Young
02:47:01
Are we going to talk at all about how to use these probabilities as a dependent variable or weight in other regressions?
Sabrina Katherine Young
02:49:49
yes
Larisa A Burke
02:49:52
yes
Larisa A Burke
02:50:38
1?
Garth
02:50:40
infinity?
Mary Hannan
02:50:41
1
Jen Glayzer
02:50:43
1
Oksana Pugach
02:50:47
1
Oksana Pugach
02:51:01
-1
Naoko Muramatsu
02:51:56
0
Jordan Smith
02:51:58
0
copefeurer
02:51:58
0
Jen Glayzer
02:52:34
1
Ayo Olagoke
02:52:36
1
Larisa A Burke
02:52:37
1
Uchechi Mitchell
02:52:37
1?
Mary Hannan
02:52:41
1
Rachel Lane
02:52:52
1 or 0?
Oksana Pugach
02:53:25
0.5
Uchechi Mitchell
02:53:26
0.5
Jordan Smith
02:53:27
.5
Patricia
02:53:30
.5
Jen Glayzer
02:53:33
1/number of classes
Judith Schlaeger
02:53:34
.5
Jen Glayzer
02:57:46
high vs low achievers
Mark B Lockwood
02:58:42
users vs. nonusers
Vikki Lynn Rompala
02:58:47
low users vs. high users
copefeurer
02:59:13
polysubstance users, legal substance users
Garth
03:03:34
High homogeneity and high separation sound like the same thing to me (?)
Garth
03:03:52
Got it-nevermind
Patricia
03:48:37
Can these analyses be run in SPSS?
Larisa A Burke
03:50:11
I'm getting an error proc LCA not found
copefeurer
05:30:58
is there an issue if your AIC or BIC are a negative value?
Jen Glayzer
05:33:14
Would you ever have to choose from a model that has a better AIC/BIC but worse hetero/homogeneity?
Daejun Park
05:37:48
I have two questions about entropy.First, entropy is traditionally considered to select a model. But then I wonder why it's not considered in this table.Second, Can I choose the model with the value of entropy under 0.8?If the five classes has a value of 0.7 entropy, while six classes has a value 0.8 entropy, then which model should I choose?Can I still choose the five-classes with under the 0.8 entropy value?
Jen Glayzer
05:40:41
thank you! very helpful
Daejun Park
05:43:12
Thank you very much
Larisa A Burke
05:51:38
I got an error message in SAS
Larisa A Burke
05:51:47
WARNING: The information matrix could not be inverted during standard error calculation.It was singular and/or not positive definite.This is sometimes due to either insufficient degrees of freedom ora boundary value estimate for a parameter.Valid standard errors could not be computed.We suggest trying to use RHO PRIOR statement.Please see the users' guide for details.
KAITLYN STORMES
05:52:20
I tried but am having trouble with the remote access at my institution for the software. Can you run the code and show us what the output looks like or how to briefly interpret it?
Lan
06:04:25
Class 3
Mark B Lockwood
06:05:48
Frequent user in favor of use
Jen Glayzer
06:06:26
class 4
Patricia
06:06:32
Class 4: Approver
Patricia
06:07:32
Class 2:
Jin Park
06:08:08
Class 1: curious experimenters
Larisa A Burke
06:11:07
Would you expect different salutations based on the program? Mplus estimates look different than SAS.
Garth
06:11:14
How does MPLUS do this?
Jin Park
06:12:46
I tried to run exercise 1 in mplus7 but there is a problem. Is it because I am using mplus ver. 7?
Garth
06:13:21
identification
Jin Park
06:14:10
Mplus VERSION 7.4 (Mac)*** ERRORThe input file does not contain valid commands:/Users/yangjinpark/exercise-1-mplus-input.inp
Garth
06:17:33
Your MPLUS codes has STARTS = 500 50; so this is for 7.4?
Jin Park
06:18:04
Got it. Thank you!
Garth
06:18:26
Thanks
Garth
06:31:16
Would this be a nominal logistic regression model of LC as dependent variable?
Jen Glayzer
06:35:25
how do decide if a variable is a grouping variable vs covariate? Does it have to do with the type of variable ie dichotomous vs continuous?
copefeurer
06:37:52
is it possible to extract group membership for each participant, and conduct post-hoc analyses in another program, such as SPSS?
Jen Glayzer
06:39:12
thank you!
Rachel Lane
06:39:23
You talked earlier about the uncertainty associated with assigning individuals to classes. Do these kinds of predictive models do anything special to account for that uncertainty?
Noah Tye
06:39:24
What would a negative beta mean?
Lan
06:40:56
Is the y axis probability?
Mark B Lockwood
06:41:46
Are these models used in AI algorithms for risk stratification?
Rachel Lane
06:41:49
Thank you
Mark B Lockwood
06:42:49
yes
Mark B Lockwood
06:45:19
excellent. Thank you!!
Lan
07:04:29
Is LPA another way than K-means approach for cluster analysis?
Lan
07:12:04
Thanks
Naoko Muramatsu
07:17:54
Can LCA/LPA allow correlated measurement error, as in SEM?
Lan
07:18:04
Just confirm: no LPA in SAS?
Daejun Park
07:18:20
It's about LCA. When I run LC models with covariates, can I import the text data saved in Mplus into other software like stata?I mean I wonder if I can use the 'C' variable which is created after running LCA in mplus and then use it into stata to run regressions?
Garth
07:18:50
In general, how would things change if you had a mix of categorical and continuous indicators?
Mark B Lockwood
07:19:09
Any chance for another workshop focusing on longitudinal data (LTA)? This was wonderful!
copefeurer
07:21:55
to confirm, is there any way to extract group membership for individual subjects, and then look at predictors of class membership, differences between the groups, or class membership as a predictor of outcomes in another statistical package, or this should only be done incorporating your predictor or outcome into the same model that is predicting class membership?
Daejun Park
07:24:25
Got it. Thanks!
Garth
07:24:52
Ahhh
copefeurer
07:25:08
Thank you! I also would have a lot of interest in LTA!
MUrio
07:25:40
How should we go about conducting a power analysis for LCA? What are the parameters we need to worry about? Is it different for LPA and LTA?
Maria Granros
07:25:46
Are there any general guidelines for sample size for conducting LPA/LCA?
Mark B Lockwood
07:26:03
great!
Larisa A Burke
07:28:17
In the mean time, I saw Bethany's has an LTA video is on you tube! https://www.youtube.com/watch?v=c9Y3drFgIKk&t=770s
copefeurer
07:29:31
it does, thank you!
Jang Ho Park
07:29:49
In BCH method, (I believe this is a method with the distal outcome), can we run BCH with covariate variable?
Garth
07:32:39
Could you replace logistic regression with probit regression in MPLUS for LCA, advantages/disadvantages?
MUrio
07:32:47
Thank you!
Garth
07:33:14
Could you restate which paper has the power analysis discussion (I spaced)
Tim Johnson
07:33:40
thank you, Bethany, for taking the time to give us this presentation. Very clean and very helpful.
MUrio
07:37:18
Listed in Agenda-Reading List:
MUrio
07:37:21
Power AnalysisDziak, J. J., Lanza, S. T., & Tan, X. (2014). Effect size, statistical power and sample size requirements for the bootstrap likelihood ratio test in latent class analysis. Structural Equation Modeling, 21, 534-552. doi: 10.1080/10705511.2014.919819 PMCID: PMC4196274Nylund, K. L., Asparouhov, T., & Muthen, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535-569. doi: 10.1080/10705510701575396
Maria Granros
07:38:49
Thanks!
Jang Ho Park
07:42:33
Thank you. Can I also find the syntax comparing models in Mplus web note 21?
Garth
07:42:38
Echo Tim, this was an excellent workshop, thanks so much for your time and effort with this!
Patricia
07:43:04
This was a great workshop. Thank you so much!
ashleykendall
07:43:06
Thank you so much, Bethany!!
Erin Marie Emerson
07:43:46
Thank you Bethany! Really great workshop and presentation!
copefeurer
07:43:49
This was fantastic! Thank you!
Larisa A Burke
07:43:50
Thanks so much!
Mary Hannan
07:43:52
Thank you! This was wonderful!
Lan
07:43:55
Thanks a lot!
Patricia
07:43:56
I hope we're on your Center's mailing list so we know about all the upcoming events.
Oksana Pugach
07:43:57
Thank you!
MUrio
07:43:58
Very helpful! Thank you!
Daejun Park
07:44:01
This was amazing. Thank you!
peishanyen
07:44:06
Thank you a lot!!!
Maria Granros
07:44:08
Very helpful! Thanks!!
Uchechi Mitchell
07:44:09
Thank you very much! This was great.
Linda Schiffer
07:44:09
Thank you!
Lillian
07:44:23
Thank you!! Very informative.