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I am running a model with three predictors: two latent variables (with categorical indicators) and one observed binary predictor. The outcome is binary. When i run this model I notice Mplus runs a "brant wald test for proportional odds". I assume this is the test of the proportional odds assumption that is used in ordinal regression. 1. i'm a little unsure why it is running this test for each indicator of my latent variables. 2. if the test is significant, and so the assumption violated what can i do about this? The syntax is below: VARIABLE: NAMES ARE sex age SI SP SC SA NI NA d1-d16 e1-e16 rs1-rs5 exp1 exp2 s1-s25 an1-an14 aa1-aa3 bu1-bu7 be1-be5 g bi nos min; USEVARIABLES ARE an2 an4 an12 an14 be1-be5 d1-d16 min na an6r an8r an10r; MISSING = ALL (999); CATEGORICAL an2 an4 an6r an8r an10r an12 an14 d1-d16 na; DEFINE: an6r=5-an6; an8r=5-an8; an10r=5-an10; analysis: estimator = MLR; MODEl: dep by an2 an4 an6r an8r an10r an12 an14; BE by be1-be5; def by d1-d16; def be on min; na on min def be dep; |
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1. Your model has a covariate "min" and therefore ordinal variables influenced by that covariate are assumed to follow the proportional odds model wrt to this covariate. 2. Take a look at the literature on this test, either in our RMA book or in sources such as https://us.sagepub.com/en-us/nam/logistic-regression-models-for-ordinal-response-variables/book226230 |
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