Operationalized Variable Definition

Operationalized Variable being a skyrocket science stands for a special metric that helps to define measurable variables collecting data that is connected to users in quantitative research. To measure relevant concepts and reduce subjectivity, an operationalized variable is widely used thereby increasing the appropriateness of your researches and studies. All you have to do is to define the leading variable to be studied, choose concepts and indicators.

As for the main benefits you are able to receive objectives to be studied, consistency in research will lead to better and in-depth insights about your users, receive improved validity, be better in decision-making process and many other advantages. The valuables you will consider depends on the type of data you are interested in — for example if you run a website you may want to know more about elements that are the most important for users.

Benefits of operationalized variable

Operationalization of variables converts the conceptual aspects into data that can be quantified, giving you enormous help for the research process. This is what you obtain:

• Clear research objectives. It helps — and forces — you to identify measures that are crystal clear and not just “a lot of users.”
• Reduced subjectivity. Different people have different interpretations for abstract concepts such as “ease of use” and “engagement.” Operationalized variables clarify the situation by setting up concrete indicators that everyone has the same opinion about.
• Better decision making. Having concrete figures means confident choices. If one is aware of the fact that a specific button was clicked by 73% of the users, then the designer and coder can come up with decisions that are based on good reasons.

You can adjust this metric to your custom needs based on the values that matter for your particular project.