The illusion of data validity: Why numbers about people are likely wrong
نویسندگان
چکیده
This reflection article addresses a difficulty faced by scholars and practitioners working with numbers about people, which is that those who study people want numerical data these people. Unfortunately, time again, this wrong. Addressing the potential causes of wrongness, we present examples analyzing numbers, i.e., derived from digital or discuss comforting illusion validity. We first lay foundation highlighting inaccuracies in collecting data, such as selection bias. Then, flaw averages, followed discussion errors are made when trying to make sense through techniques posterior labeling. Finally, root cause often being wrong – conceptual conundrum thinking counts they actually measures. Practical solutions address validity proposed. The implications for theories also highlighted, namely generally
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ژورنال
عنوان ژورنال: Data and Information Management
سال: 2022
ISSN: ['2543-9251']
DOI: https://doi.org/10.1016/j.dim.2022.100020