Research Topics:

Data Quality | Quantitative Research | The Business of Research

Content Type:

Glossary

False Accuracy Definition

An unwarranted illusion of accuracy provided by details, such as statistics quoted to two decimal places.

False accuracy is the misleading representation of data or results that appear to be precise and reliable but in reality are not. This unwarranted illusion of accuracy is based on flawed methodologies, biased samples and incomplete information. In the end, it provides a false sense of accuracy and can lead to incorrect conclusions. False accuracy highlights the importance of rigorous research methodologies, unbiased sampling and thorough analysis in marketing research. It gives credence to the need to evaluate findings and consider potential sources of error.

Who is affected by false accuracy?

False accuracy can exist in research performed by individuals or organizations that lack understanding of research methodologies or are in a hurry to draw favorable conclusions. Decision makers who prioritize quick results over meticulous analysis are more prone to this phenomenon.

Why should I care about false accuracy?

Encountering false accuracy in research findings can have serious consequences. That’s because basing business decisions on inaccurate or misleading data can lead to poor strategic choices, wasted resources and missed opportunities. Establishing the reliability of research data is critical.