Quantitative Research can be abstract-centric, blurring out the specifics, trading off deeper meanings and interpretations to quantify phenomena, with relevant variables being missed entirely.
The “reproducibility” crisis suggests a growing number of research studies published across disciplines are unreliable due to the declining quality and integrity of research and publication practices.
It's kind of obvious a DBA should be a journey of discovery: of knowledge, growth, and change. Yet a mindset change caught me off guard. I did not predict falling a little in love with statistics!
Historically, researchers simply asked if one were single or married. Over time this became confusing and/or offensive. Marital status presents as “less nebulous as questions about racial or sexual identity” but relationships remain deeply complicated.
Statistics have been manipulated since time immemorial. Today, in a business context alone, whether its research to advance management knowledge or address policy concerns, or bad statistics feeding Fake News or political campaigns, data is employed for high impact.