Examples of Causal, Correlational, Descriptive, and Exploratory Research Questions

[@whitneyprice9672]

Very thorough and understandable. I'm planning to show it in my undergraduate nursing research and EBP class comparing quant/qual design appraisals.

[@liezlsurel5961]

Thank you very much. This is so helpful

[@RanywayzRandom]

You're very welcome!🤗

[@methsreylen2365]

Thanks for sharing this with us. I liked it.

[@RanywayzRandom]

Glad you like it! 😀

[@domiesa]

this was so much helpful. thank you

[@RanywayzRandom]

Glad it was helpful!

[@Le_thomas_]

Very good explained! Helped me a lot during my studies :)

[@SR0792]

Great

[@RanywayzRandom]

👍🏼

[@o.sab3785]

thank you so much. Amazing video. If I write: 'How do Egyptian entrepreneurs adapt digitalization to their respective startups? Can digitalization of Business Models affect the success of a startup in Egypt's budding entrepreneurial ecosystem?' The first part is exploratory right? The second is descriptive and will require a quantitative research methodology, correct? Thank you for sharing your knowledge.

[@2106832170]

I think the second part is causal and calls for experimental, pre test, post test or correlation research.

[@isaacessel7862]

Thanks a lot

[@RanywayzRandom]

Happy to help 😋

[@dejenemassebo9989]

I m starting a proposal on :'' impact of migration and remittance on economic growth of households of migrants '' what do you suggest to me : specially the RQ and R. design. I am thinking of descriptive, and explanatory survey design

[@prashantshukla1589]

nicely explined

[@RanywayzRandom]

Thank you so much 🤗

[@susanhtml]

correlational research does not determine cause-effect so why is that mentioned on the causal RQ slide?

[@RanywayzRandom]

It's a good question, Susan. Let me see if I could address it properly through a brief response. Well, I guess there are two things I'd say in response to your question. One, the example questions in the Causal RQs slide are not expected to be examined using correlational research, but rather a causal design, e.g., experiments, pre-test post-test design. Take the RQ of classroom temperature influencing student attention span as an example. Likely, researchers would conduct an experiment which involves a control condition (normal temperature) and a number of experimental conditions (manipulated temperatures such as hot and cold) in order to see how temperature might cause student attention span to vary. Two, the distinction between causal RQs and correlational RQs in terms of how they are phrased is that causal RQs tend to talk about causality, influence, impact, etc., whereas correlational questions tend to focus on relationships.