I have asked my students to conduct a survey on math or stat education while they are studying quantitative methods in the University level. The survey did not require ethics approval as it doesn't have any personal information or identification. There are about 10 class projects focusing on student performance on quantitative methods based on survey data. I am planning to refine their analysis and compile all mini projects to show a big picture "how student performance on quantitative methods could be affected or what factors play a role on student performance on quantitative methods in an undergraduate level class"? I will be happy to clarify further, if required. Your suggestions will be appreciated.
Dear Liton -
I am not certain that this is appropriate for your needs, but you might look into the Journal of Statistics Education:
https://ww2.amstat.org/publications/jse/
Perhaps, however, a proceedings paper for a conference might be a much better way to go, as it would not be subject to such a long, often arbitrary process as for most journals.
At any rate, you might also consider putting the resulting paper on ResearchGate. If you publish somewhere, you need to get permission to also put it on ResearchGate and/or Academia.edu, etc., unless it is already in writing that permission is not required.
You might just put it on ResearchGate, even if not published anywhere else.
Anyway, those are some suggestions that you might check for appropriateness.
Best wishes - Jim
Dear Liton,
Some of the journals you may want to explore:
1. Statistical Methodology (ELSEVIER)
2. Mathematical Methods of Statistics (Springer)
3. Statistical Methods and Applications (Springer)
4. Statistical Methods in Medical Research (SAGE)
5. Statistics in Medicine (Wiley)
Based on your subject topic, your current work, and your preferred indexation requirement, you may have a look at the scope of these journals.
Good luck!
Thanks very much for your suggestoons, James and Kurubaran. I will go through some journals as you recommended.
Dear Liton,
You can try at http://www.journalpressindia.com/servlet/MasterClass?query=journaldetail&id=4
All the best
Many journals have a section highlighting methods, especially statistical methods. Even something like Nature: Methods.
The ethical issue is about student involvement. The problem is that this approach can be abused. If I was a university, I might like to have a repository of this type of publication wherein electronic copies of both the published manuscript and a copy of all the student reports are in one place. That way, it is easy to get to the truth if any questions are asked. At the very least, I would put all student names in the acknowledgement section.
There are many ways that this project could be organized. Which one (if any) is correct?
1) The goal was to collect data on student in quantitative methods to assess baseline skill in this subject. The focus is on the survey results, and student participation is a brief note in the methods section.
2) The goal was to understand how variable survey results can be based on who collected/designed the experiment. The focus is on the students in class, where student groups simulate different labs replicating the same experiment.
3) The goal is to showcase the value students can provide in a teaching-research context. The focus is on class participation and project development.
4) The goal was to show how a class project improves student learning outcomes. The comparison is grades in classes with and without a class project, and might include the effect of having a class project on student course/teacher evaluation scores. The focus is on the students, but the survey is a tool for manipulating the students. One then might ask if student outcomes change depending on what type of data are gathered by this survey. Is any project good enough, or can you define a level of complexity that optimizes student outcomes?
A single manuscript cannot encompas all four options.
Thanks very much, Timothy. Your views would help me formulate some critical research hypothesis in quantitative method. Highly appreciated!
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