4.2. If cumulative logit and adjacent-categories logit models with proportional odds structure both fit a data set

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4.2. If cumulative logit and adjacent-categories logit models with proportional odds structure both fit a data set well, explain why the parameter estimates from the cumulative logit model would probably be larger. Does this imply that it is easier for effects to achieve statistical significance with that model?

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