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Building the Knowledge Base of Nonprofit Management:
A Searchable Database
Examining the Landscape of Indiana's Nonprofit Sector: Does What You Know Depend on Where You Look?
Abstract
The authors examine technical aspects of surveying nonprofits to determine whether inferences about characteristics of the sector depend on how samples are selected. Using a stratified sample drawn from a comprehensive nonprofit database, they analyze how major profile features of the nonprofit sector vary by sampling source and by how broadly researchers define the sector. The results reveal significant differences in the accuracy, completeness, and response rates associated with alternative sampling sources. Nonprofits found on multiple listings respond at higher rates and are more formalized than those found on only one sampling source, and sampling sources vary in the profiles they generate for the nonprofit sector. The authors conclude that researchers who wish to generalize their findings to the full nonprofit sector should consider the list of incorporated nonprofits as a sampling frame--it is among the most efficient and produces the fewest distortions in nonprofit profile features.
Journal
(June 2005)
vol34
no2
pages232-259
Categories
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Classification and Research
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Research Methods
