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ERIC Number: EJ954935
Record Type: Journal
Publication Date: 2011-Sep
Pages: 7
Abstractor: As Provided
Reference Count: 9
ISSN: ISSN-1531-7714
Best Practices in Using Large, Complex Samples: The Importance of Using Appropriate Weights and Design Effect Compensation
Osborne, Jason W.
Practical Assessment, Research & Evaluation, v16 n12 Sep 2011
Large surveys often use probability sampling in order to obtain representative samples, and these data sets are valuable tools for researchers in all areas of science. Yet many researchers are not formally prepared to appropriately utilize these resources. Indeed, users of one popular dataset were generally found "not" to have modeled the analyses to take account of the complex sample (Johnson & Elliott, 1998) even when publishing in highly-regarded journals. It is well known that failure to appropriately model the complex sample can substantially bias the results of the analysis. Examples presented in this paper highlight the risk of error of inference and mis-estimation of parameters from failure to analyze these data sets appropriately. (Contains 4 tables, 4 footnotes and 5 endnotes.)
Dr. Lawrence M. Rudner. e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A