Alternative Model-Based and Design-Based Frameworks for Inference From Samples to Populations: From Polarization to Integration.

  title={Alternative Model-Based and Design-Based Frameworks for Inference From Samples to Populations: From Polarization to Integration.},
  author={Sonya K. Sterba},
  journal={Multivariate behavioral research},
  volume={44 6},
A model-based framework, due originally to R. A. Fisher, and a design-based framework, due originally to J. Neyman, offer alternative mechanisms for inference from samples to populations. We show how these frameworks can utilize different types of samples (nonrandom or random vs. only random) and allow different kinds of inference (descriptive vs. analytic) to different kinds of populations (finite vs. infinite). We describe the extent of each framework's implementation in observational… CONTINUE READING

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