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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 d1d16 e1e16 rs1rs5 exp1 exp2 s1s25 an1an14 aa1aa3 bu1bu7 be1be5 g bi nos min; USEVARIABLES ARE an2 an4 an12 an14 be1be5 d1d16 min na an6r an8r an10r; MISSING = ALL (999); CATEGORICAL an2 an4 an6r an8r an10r an12 an14 d1d16 na; DEFINE: an6r=5an6; an8r=5an8; an10r=5an10; analysis: estimator = MLR; MODEl: dep by an2 an4 an6r an8r an10r an12 an14; BE by be1be5; def by d1d16; def be on min; na on min def be dep; 


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/enus/nam/logisticregressionmodelsforordinalresponsevariables/book226230 

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