Quantitative observation is a research method that involves measuring and quantifying characteristics of a phenomenon using numerical data, such as measurements or counts, that can be expressed in terms of a quantitative value. Quantitative observations are typically objective, meaning that they can be replicated and verified by other observers using the same measurement techniques. Examples of quantitative observations include measuring the length of a flowers stem, counting the number of bees in a hive, or recording the temperature of a greenhouse.
Quantitative observation is often used in scientific research for data collection and hypothesis testing, but it is also commonly used in everyday life to help make decisions or solve problems based on numerical information. This method of observation is usually conducted by sending out surveys, questionnaires, or polls. The data obtained under quantitative observation, when analyzed, provides accurate results, making it a popularly used method.
The key benefits of performing quantitative observation include reliable information to help businesses and marketers adjust their operations, campaigns, and customer relationship approaches. Numerical evaluation and bias-free research findings are the major characteristics of quantitative observation.
