I have performed a hypothesis testing using the simple regression analysis model. What action must I take after testing the hypothesis?
I think, if THIS is unclear to you, you should take some statistics classes and consult a local statistician. If you don't know what to do after you got your results, I would presume that you also did not know what to do before the analysis. No offense!
After you present your results, the next section in a research paper is typically the Discussion and Conclusions. Since you have what seems to be a very simple result, this section should not be too elaborate, but one important contribution you can make at this point is to give recommendations for future research. That is, given what you have learned through your study, what might other researchers pursue based on this information?
- Once you complete your simple regression you need to determine if you reject your hypothesis or not. That will help your with completing the Discussions and Conclusions.
- Normally in regressions you are trying to confirm how much explained variance in the two variables you were testing, e.g. R2 = .9214 or in other words, approximately 92% of the variance can be attributed to your combined variables as long as the significance (sig.) is .05 or less (.00 -.49 AND .50)
- In multivariate regressions you model multiple variables in groups of two to find what is explaining the most variance (again including only those with sig. .05 or less.
- In simple regression the higher the R2 the better (1.000 is perfect). Also per the last professor's advice, an automatic area of future research is to look at other variables that will improve a model for full regression analysis. In addition to future research, consider impacts of potential interventions on policy and practice.
- Hope this is helpful.
A simple step for you:1. After testing the hypothesis > Analyze the results (Reject or accept the hypothesis > Report the result > and finally discuss and draw a conclusion.
Another important step in all of this that they recommended to you is: 'assumptions'; when you'll report the results. Because, if your hypothesis is "group A is major than B", and you see on p-value only that the hypothesys it's true, this can to be false, because you need to see 'multicolinearity', 'normality', 'residual Q-Q plot', DV distribution and, sure, the size effect. So, beware of unfounded results.
The result of your test will reject or accept your hypothesis. Eitherways, your next step us to provide its statistical interpretation. Then provide its implication- What now? You may also discuss its theoretical groundings. Did the results validate the theory/ies in your study framework? Lastly,you discuss the similarities/ differences of your findings with your related studies and literature.
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