Common Source Bias, Key Informants, and Survey-Administrative Linked Data for Nonprofit Management Research

@article{Kim2019CommonSB,
  title={Common Source Bias, Key Informants, and Survey-Administrative Linked Data for Nonprofit Management Research},
  author={Mirae Kim and Jamie Levine Daniel},
  journal={Public Performance \& Management Review},
  year={2019},
  volume={43},
  pages={232 - 256}
}
Abstract In this study, we examine the increasingly popular strategy of supplementing survey data with administrative/archival data as a strategy to overcome common source bias. As the strategy does not present a cure-all solution, we argue it is a questionable recommendation and provide advice on how to approach this issue with due consideration. Focusing on the nonprofit sector, we compare the data drawn from a survey of financial estimates completed by nonprofit leaders and the IRS 990 forms… 

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