: Let’s say that we observe a person with an IQ of 125, as we did in the lecture. Which way should the posterior distribution, after our Bayesian update, shift? View
: What is true about multiple linear regression and marginal linear models when dependence is present in data? View
: Which of the following features has the highest correlation between two observations in the same cluster? View
: You want to fit a model that enables the prediction of a continuous measure of birth weight for all of the newborns at a single large hospital. The data arise from a simple random sample of 500 births, and the predictors including information collected from both the mother and the father. View
: You wish to fit a model to a “forced choice” binary dependent variable measuring political party preference (if you had to pick a political party, which would you select: Democratic or Republican?), and examine the relationship of parental political attitudes with the preference of the respondents. Based on the study design, View
: 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. View
: After publishing a research paper describing the results from the model fitted for Question #3, you are contacted by 20 other large hospitals, and they wish to contribute to the estimation of a model for predicting birth weight. The team agrees that estimation of the variance in expected birth weight between hospitals and explanation of that variance with hospital-level covariates is a key objective. What type of model would you fit? View
