Towards 20/20 vision
Quality of research analysis has always been dependent on the individual researcher's ability to see clearly without distortion, and discern shades of difference in what they see/ perceive. This ability is particularly critical today, when data is abundant and the emphasis is on accurate and insightful analysis, and making sense of it all. ?The reality however is that we all develop different types of flaws in our lens, vision impairments so to speak. This paper analyses and classifies the types of "vision problems" researchers develop, that affect clarity of perception, proportion and distort our analysis - the signs and symptoms of these conditions - and suggests ways in which such issues can be tackled through training and other interventions.
- This could also be of interest