Method of validating analysing data

Now a senior research statistician at a major healthcare organization, Collingridge has since researched and compiled his own method for validating survey questions, a strategy he shared in a Sage Publications article posted on Method Space.

What It Means Validating a survey refers to the process of assessing the survey questions for their dependability.

Your overall goal at this stage is to determine what the factors represent by seeking out common themes in questions that load onto the same factors.

You can combine questions that load onto the same factors, comparing them during your final analysis of data.

For instance, several questions may end up measuring the underlying component of employee loyalty, a factor not expressly asked about in your survey but one uncovered by PCA.

Because PCA can be complex and needs to be precise, calling on a skilled expert for guidance during this step is a wise idea if you’re not familiar with the process.

The more participants you can round up, the better, although even a smaller sample can help you weed out irrelevant or weak questions.If you run across a question that doesn’t neatly load onto a factor, you can choose to delete it.If the question is an important one you’d rather not delete, you can always retain it and analyze it separately.The second review should come from someone who is an expert on question construction, ensuring that your survey does not contain common errors such as leading, confusing or double-barreled questions.Step 2: Run a Pilot Test Select a subset of your intended survey participants and run a pilot test of the survey.

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