Nonsampling Error in Surveys

This insightful work delves into the complexities of nonsampling errors that can plague surveys, offering a thorough examination of their implications on data accuracy. It explores three critical areas: survey frame issues, nonresponse challenges, and measurement errors, each contributing uniquely to the overall reliability of survey results.

Judith T. Lessler and William D. Kalsbeek provide valuable perspectives and practical strategies for addressing these non-sampling errors, emphasizing their significance in effective survey design and implementation. Through clear explanations and illustrative examples, the authors guide readers in recognizing and mitigating these pitfalls, ultimately enhancing the quality of survey-based research.