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Fourth, as in any study using questionnaires, this study may be affected by non-response bias.
To examine possible non-response bias, we compared the companies that responded with non-responding companies.
Thus, non-response bias is not the case to significantly affect the result in this study.
A non-response bias analysis examines whether respondents of the study were different from non-respondents.
The data cleaning process, non-response bias and data summaries are also presented.
To reduce non-response bias related to sampling design and refusals, adjusted sampling weights were computed.
We performed non-response bias before checking assumptions such as constant variance and normality.
But non-response bias is only one difficulty all pollsters face.
A dramatic fall in response rates has led to what pollsters call "non-response bias" in their raw data.
Non-response bias was recognized as a limitation by most surveys.
This raises concern about the possibility of a non-response bias.
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