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

@article{Sterba2009AlternativeMA,
  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},
  year={2009},
  volume={44 6},
  pages={711-740}
}
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

From This Paper

Figures, tables, and topics from this paper.
15 Citations
82 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 15 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 82 references

On the problem of the most efficient tests of statistical hypotheses

  • J. Neyman, E. S. Pearson
  • Philosophical Transactions of the Royal Society…
  • 1933
Highly Influential
12 Excerpts

On the variance of asymptotically normal estimators from complex surveys

  • D. A. Binder
  • International Statistical Review, 51, 279–292.
  • 1983
Highly Influential
3 Excerpts

Inference from complex samples (with discussion)

  • L. 143–162. Kish, M. R. Frankel
  • Journal of the Royal Statistical Society , Series…
  • 1974
Highly Influential
4 Excerpts

Statistical methods for medical workers

  • R. A. Fisher
  • The design of experiments. Edinburgh,
  • 1925
Highly Influential
5 Excerpts

Hierarchical linear models: Applications and data analysis methods (2nd ed.)

  • S. W. Raudenbush, A. S. Bryk
  • 2002
Highly Influential
4 Excerpts

Using SAS PROC MIXED to fit multilevel models, hierarchical models, and individual growth models

  • J. D. Singer
  • Journal of Educational and Behavioral Statistics…
  • 1998
Highly Influential
4 Excerpts

Designing evaluations of educational and social programs

  • 1982
Highly Influential
3 Excerpts

On the mathematical foundations of theoretical statistics

  • R A.
  • Statistical Society, Series B,
  • 1922
Highly Influential
3 Excerpts

Beyond pretending complex nonrandom samples are simple and random

  • S. K. Sterba, M. J. Prinstein, M. Nock
  • 2008

Chapter 87: The Surveyselect procedure

  • SAS Institute Inc.
  • SAS/STAT 9.2 user’s guide. Cary, NC: Author.
  • 2008
1 Excerpt

Similar Papers

Loading similar papers…