Latent Profile Analysis: Mplus Output Explained

#Mplus #statistics #statisticstutorials #geiser #quantfish #mplusforbeginners #lpa #lca

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Dr. Christian Geiser is a quantitative psychologist, author of two books on Mplus, and a leader in the development of latent variable techniques for complex data. With his accessible books and sought-after workshops, he has helped thousands of researchers and students around the world to achieve their analytic goals.

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[Mettaman_]

This is so helpful! As all our of your videos. They've been essential in helping me to complete my masters thesis. Much appreciated Dr. Geiser!

[dianaschafer]

Thank you for this really interesting and helpful video!

[SallySun-xx]

Hi, Dr. Geise! Your videos are very helpful! I would like to ask, I see a lot of papers' plots with standardized z-score of means, should I standardize these means after I get the results, or should I standardize all the variables before I do the LPA?

[ariadnebrandt]

Very helpful video, thank you! How do I interpret the p-values given in the model results for each variable mean? Does the p-value indicate whether or not the class mean differs significantly from the overall sample mean? I am currently working on an LPA, in whiche not all of these p-values are significant.

[cailawrance]

Hi Dr Geiser, thank you so much for your sharing! It is really informative and helpful! 

Meanwhile, I have a question about interpreting the relationship between each profile and variables. It seems reasonable to argue that every profile is constituted by multiple variables with different proportions of influence? For example, let's say, the respondents of profile 1 are partly constituted by variable ES (70%), variable E (20%) and O (10%). Is there any method we can do this? 

Thank you!

[hannahperkinsstark]

Hi Dr. Geiser, in addition to LPA, I used the automatic BCH procedure to predict outcome variables based on profile membership. Regarding the BCH procedure output, am I correct in thinking that the "overall test" must be significant in order to interpret the pairwise comparisons?

[marinagrgic]

Guten Tag Herr Geiser und herzlichen Dank für die tollen Videos! Darf ich nachfragen, ob es möglich ist, die Klassenzugehörigkeit (z.B. "the resilients, class 3) der Fälle (Studierenden) herauszulesen? Also kann ich irgendwo sehen z.B. Student XY gehört zu Class 3 beispielsweise? So wie es in der explorativen Clusteranalyse möglich ist. Danke für die Beantwortung und beste Grüsse, Marina Bregy

[mish]

Hello Dr. Geiser, I was wondering if you had a similar demonstration for Latent Transition Analysis after doing an LPA on Mplus? I am having trouble with coding and could have used your help, suggestion, advice.

[sarahmadison]

Hi there, this output doesn't have a chi square value. How do we evaluate model fit without it? Is there something I need to put in the syntax to get the chi square model fit value? Thanks!

[Sun_sunny_shine]

Hi Dr. Geiser, I am using mplus to calculate the sum and mean of my current variables, but the output file says that "Left numeric operand cannot be found." I wonder what I could do to fix it? Thank you in advance!

[verodeslauriers]

Hi! Can you help me figure out what to do with this LCA output I get? Thanks a lot!

THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE
TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NON-POSITIVE DEFINITE
FIRST-ORDER DERIVATIVE PRODUCT MATRIX. THIS MAY BE DUE TO THE STARTING
VALUES BUT MAY ALSO BE AN INDICATION OF MODEL NONIDENTIFICATION. THE
CONDITION NUMBER IS 0.240D-20.

[emanalhalal]

Dear Dr. Geiser, I have a question regarding latent profile analysis with distal outcomes and covariates.
Is this the right syntax to control for both ACE and AAS

DATA: FILE IS total.dat;
VARIABLE: NAMES ARE ACE AAS WV PHQ GH MI;
CLASSES = L (3);
AUXILIARY = PHQ (bch) GH (bch) MI (bch);

ANALYSIS: TYPE = MIXTURE;
starts = 500 50;
stiterations = 50;

MODEL: %OVERALL%
L on ACE AAS;

OUTPUT: TECH11;
TECH14;