Home » Fitting Statistical Models to Data with Python » You are interested in estimating the relationship between gender (the IV) and a binary indicator of ever having experienced a major depressive disorder (the DV), where both variables were collected from a large national sample that involved area cluster sampling. You also wish to estimate between-cluster variance in the probability of having experienced a major depressive disorder, and explain this variance with the fixed effects of cluster-level covariates.

You are interested in estimating the relationship between gender (the IV) and a binary indicator of ever having experienced a major depressive disorder (the DV), where both variables were collected from a large national sample that involved area cluster sampling. You also wish to estimate between-cluster variance in the probability of having experienced a major depressive disorder, and explain this variance with the fixed effects of cluster-level covariates.

Question 2

What type of model would you fit?

1 / 1 point

Linear regression model

Logistic regression model

Multilevel linear regression model with random cluster effects

Multilevel logistic regression model with random cluster effects

Marginal linear model, fitted using GEE

Marginal logistic model, fitted using GEE

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