Ignoring Special Data Nature Leads to Biased Results in Models.
The article discusses different models for analyzing data with qualitative or limited outcomes. It explores the consequences of using the wrong method, like ordinary least squares, which can lead to bias in the results. The researchers aim to show the importance of using appropriate techniques for this type of data to avoid misleading conclusions.
