If you are using the VARK questionnaire in your research and are asking research participants to fill in the questionnaire on paper or using their online results, you will need reliable and accurate analysis for your questionnaire results to find the learning preferences of your participants.
We offer an inexpensive service to assist researchers who want to have their data analysed with a robust statistical procedure. You provide us with a spreadsheet listing the VARK scores for each of Visual, Aural, Read/Write and Kinesthetic, for each participant, and we update it with the VARK learning preference for each participant, using the VARK Research algorithm. An Excel spreadsheet is best with a column to identify the participant and four columns for their total V, A, R and K scores. We can send that to you.
- The VARK Research algorithm uses standard deviations from the very large VARK database to compare each individual’s scores with the scores of others who have used VARK. It is the only algorithm that should be used for research.
- The VARK Standard algorithm is an arithmetic comparison of the scores of each individual compared with that individual’s other VARK scores. It his used on the website. The Online questionnaire results and unanalysed paper questionnaire results should not be used for research.
Note: we have recently learned that some researchers merely indicate that a VARK preference exists by choosing an individual’s highest score as though that is a dominant preference indicator!!! That is a waste of effort and time and their research will be invalid. What “highest score” do they use for a people who have these scores? – 4, 4, 4 and 4 or 8, 8, 2 and 3 or 9, 8, 7 and 6? Everybody has four VARK scores not one. Life is multimodal. VARK uses that fact in its design. That is why respondents can have more than once answer for each question.
The cost for a prompt analysis (any number of participants) is $NZ30 (or approximately $US20 ) and with the robust analysis you will have results that are more likely to be published.