An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys: Rejoinder

Key Points

• This research evaluates the differences and effectiveness of model-dependent versus probability-sampling inferences in surveys.
• Comparative analysis of model-dependent and probability-sampling inference methods.
• Assessment of their impact on sample survey estimations.
• Focus on statistical associations in survey data.
• Model-dependent inferences demonstrate significant variance in accuracy compared to probability-sampling methods.
• Probability-sampling inferences yield more reliable estimates in sample surveys.
• Findings support the preference for probability-sampling in statistical analysis.