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Take a peek at our powerful survey features to design surveys that scale discoveries.
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Uncover customer pain points, analyze feedback and run successful CX programs with the best CX platform for your team.
We’ve been avid users of the Voxco platform now for over 20 years. It gives us the flexibility to routinely enhance our survey toolkit and provides our clients with a more robust dataset and story to tell their clients.
Steve Male
VP Innovation & Strategic Partnerships, The Logit Group
Explore Regional Offices
Find the best survey software for you!
(Along with a checklist to compare platforms)
Take a peek at our powerful survey features to design surveys that scale discoveries.
Explore Voxco
Need to map Voxco’s features & offerings? We can help!
Find the best customer experience platform
Uncover customer pain points, analyze feedback and run successful CX programs with the best CX platform for your team.
We’ve been avid users of the Voxco platform now for over 20 years. It gives us the flexibility to routinely enhance our survey toolkit and provides our clients with a more robust dataset and story to tell their clients.
Steve Male
VP Innovation & Strategic Partnerships, The Logit Group
Explore Regional Offices
Find the best survey software for you!
(Along with a checklist to compare platforms)
Take a peek at our powerful survey features to design surveys that scale discoveries.
Explore Voxco
Need to map Voxco’s features & offerings? We can help!
Find the best customer experience platform
Uncover customer pain points, analyze feedback and run successful CX programs with the best CX platform for your team.
We’ve been avid users of the Voxco platform now for over 20 years. It gives us the flexibility to routinely enhance our survey toolkit and provides our clients with a more robust dataset and story to tell their clients.
Steve Male
VP Innovation & Strategic Partnerships, The Logit Group
Explore Regional Offices
Transform your insight generation process
Use our in-depth online survey guide to create an actionable feedback collection survey process.
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Operationalization can be defined as the process of turning abstract concepts into measurable observations. It involves defining how a concept can be measured, observed, or manipulated. Using operationalization, researchers can systematically collect and evaluate phenomena that can’t be observed directly.
Operationalization is integral when trying to study phenomena that are not directly measurable such as the phenomenon of health. Health cannot be measured directly. However, it can be operationalized through the use of different indicators such as body mass index, cholesterol levels, and blood sugar levels.
The following three steps can be used to operationalize concepts effectively:
The concept you are trying to study will influence your research question. A research question is a question that a research study sets out to answer. For example, let’s assume you want to study the effects of social media on depression among teenagers. Your research question would be as follows:
“What is the effect of social media use on the mental health of teenagers?” The concepts being studied in this question are social media use and depression.
The next step is to clearly define which variables you are going to measure. Your main concept may have a range of different variables that are measurable, however, you must select the variables that will help you answer your research question best.
You can even select variables by reviewing previous literature on the same concept to discern the most relevant variables.
For example, you can measure ‘how often teenagers use social media’ (frequency), or you can track ‘which social media they use’ (type).
Once you’ve selected a variable to represent each concept being measured, you can decide on the indicators for the different variables. These indicators will represent your variable numerically, allowing you to measure and evaluate them. For this step, too, you can refer to past literature to get an idea of the different practical ideas that can be implemented to measure your selected variables.
Let’s assume that the variable you decided to select while measuring social media behaviour is frequency. In this case, the indicator of frequency could be the number of logins during the day or the total amount of time spent cumulatively on social media on a daily basis.
Let’s take a look at the key benefits of using operationalization:
Operationalization helps ensure consistency in the collection and interpretation of data, also facilitating the replication and extension of any study that employs it.
It clearly defines how a concept can be measured, reducing or eliminating the possibility of subjective or biased interpretations.
Operationalization also has its disadvantages:
Abstract concepts can usually be defined in a number of different ways. For this reason, other researchers often question the correspondence between the methods of operationalization used in a specific study and the theoretical concept.
As operationalization involves the interpretation and narrowing down of a broad abstract concept into sharper and less subjective observations, it can cause the original concept to lose some of its meaning.
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