Sample interview questions: How do you handle issues of heteroscedasticity and heterogeneity in your analysis of sociological data?
Sample answer:
Addressing Heteroscedasticity:
- Transform data: Apply logarithmic, square root, or Box-Cox transformations to stabilize variances and improve normality.
- Use weighted least squares (WLS): Assign weights to observations based on their standard deviations, giving less weight to observations with high variance.
- Generalized least squares (GLS): Model the heteroscedasticity explicitly by estimating the variance function and using it to adjust the model parameters.
Addressing Heterogeneity:
- Stratification: Divide the data into homogeneous subsets based on relevant characteristics and analyze each subset separately.
- Cluster analysis: Identify distinct groups of observations within the data and analyze these groups separately.
- Multilev… Read full answer