Hence, adopting this data analysis design would help you arrive at more accurate research outcomes. Unlike other methods of data analysis, the quantitative analysis yields definite results that can be quantified.

Characteristics of Quantitative Observation Method As a result of its dependence on numerical data, quantitative observation is commonly used for scientific research. Surveys, questionnaires, and polls are common methods of carrying out quantitative observation and you can use online data-gathering platforms like Formplus to create and administer quantitative observation surveys. It is usually carried out with a large data sample size because the larger the research sample the more accurate the research findings would be. This method of observation views research variables in terms of quantity hence it is usually associated with values that can be counted such as age, weight, volume, and scale.Ī quantitative observation is also referred to as standardized observation because it measures research variables using definite parameters and results in definite research outcomes. What is Quantitative Observation?Ī quantitative observation is an objective method of data analysis that measures research variables using numerical and statistical parameters. However, it is easy for these methods of observation to be mixed up hence, the need for researchers to understand the key differences between qualitative and quantitative observation. Qualitative and quantitative observation methods can be used interdependently with a variety of research tools in order to facilitate data collection and analysis. Observation is an important aspect of systematic investigation because it sets the pace for any research.

When carrying out experimental research, researchers can adopt either qualitative or quantitative methods of data observation depending on the sample size, research variables, and the hypothesis.

Qualitative observation definition