In content analysis research, reliability test is a crucial step. There are questions of many researchers who are just starting out: is it possible to start coding directly after obtaining the data? Can data that hasn’t undergone reliability test really be trusted?
The answer is a clear no. The significance of the reliability test cannot be underestimated. Whether it’s coding via multi-person collaboration or with the assistance of AI, a series of problems usually crop up. For example, when multiple people are engaged in a coding task, the consistency of the results may fall short. When relying on AI for coding, it’s challenging to assess its quality. Additionally, in the process of reliability analysis, SPSS involves complex operation steps and a plethora of bewildering indicators. In reality, reliability calculation is a breeze. It doesn’t call for programming skills or an in-depth statistical background. You can simply use the Free Tool in DiVoMiner and complete it with just a few clicks.
This article will introduce to you a free tool in DiVoMiner – [Reliability Calculation].
There are two entrances for reliability calculation on the platform. One is the [Reliability Calculation] in [Reliability Test] interface in any project:
The other is the [Reliability Calculation] tool, which has the same function as above. The difference is that there is no need to create a project here. If you have already completed the coding in Excel or any other platforms, you can also use this tool in DiVoMiner to complete reliability calculation in one step.
The first step is to log in to the platform, click on [Free Tool] in the lower right corner –[Reliability Calculation].
Then, upload the data that has already been coded, sorted according to the template provided. The platform provides two templates, you can choose according to the actual situation:
Reliability Calculation Template 1
Reliability Calculation Template 2
Upload interface
The second step is to select the reliability coefficient. The platform offers 4 types of reliability coefficients for selection, which can cover the needs of the content analysis method:
After setting up, submit and you will see the results immediately. It clearly shows the reliability indicators of each category and the reliability indicators among coders, which helps users to quickly identify the issues where the coding results are inconsistent. It can help users to formulate training plans for coders efficiently.
The data calculated can also be downloaded, providing strong support for your research results.
You can redeem 500 compute credits per month for FREE on DiVoMiner that can be used for algorithm mining, AI coding and more. In addition, for every new user you refer that signs up for DiVoMiner, you will receive 1,000 compute credits or a 7-day pass for a research project. For more details, check out in me.divominer.com.
DiVoMiner helps to build up your research!