Research Questions Anomaly

Research Questions Anomaly

Hello Scholars, Good afternoon.
Kindly permit me to drop this piece here. I’ve had a similar experience on several occasions and I feel like sharing it with you today.

I asked a research student, “how many research questions do you have in the study you are conducting?…guess what, his response was: “I have fifty (50) research questions in my study”

Yeah. The response shows that the young scholar absolutely misunderstood the question. The student thought I asked him about the number of items in his instrument/questionnaire for data collection.

Research questions are not the same thing as research items of the instrument. The research questions stem from the research objectives. They are used to guide the study whereas the questions or item statements in the instruments/questionnaires are used to elicit data from the respondents. The obtained data is then used to answer the research questions which guide the study. Please get enlightened today.

Good morning🌹


The Datarmatics Research Team can now be at peace because a 👑 Professor understands our worries over this anomaly, tagged ” viral correlational-survey”.

We feel absolutely sorrowful when we find the mean and standard deviation (rejected/accepted) at the end of each item statement of a cluster of items supposedly intended to answer a research question in a correlational study.
Our question is: what is the reason for the use of mean and standard deviation in a research question trying to determine a relationship between two variable,(x &y)?…

Sometimes, we call the attention of an erudite 👑Professor, over this anomaly. He will always tell us that mean/SD is overused by contemporary researchers and that this breed of researchers “feel” that almost all research questions can be answered using mean and standard deviation quantified from a modified 4-point Likert scale. Who did this to us?

This anomaly should be discouraged with all level of displeasure by researchers and project supervisors in all the universities in Africa. We need to start doing these corrections now so that future researchers might replicate accurately.

Good morning, Scholars🌹

By Dr. Nduka Wonu