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You finished the statistical analysis of your data- now it’s time to write something. The first thing you should do is re-state your research hypothesis. What was your null hypothesis? What answers were you seeking? Your question should include the independent and dependent factor(s) of your study. The next step is to describe your sample. Who is part of that population? Do you have all males? How many people are in your sample? How did you collect the sample? Think of your write-up as a monologue. The first part of the monologue includes any background information on the research question. That includes any statistical methodology. The reader needs to know which statistical tests were performed to arrive at your conclusions. The meat of the paper is your results and interpretation.  Sentences for the result section should be objective and informational- point estimates should include the spread of the data (example standard deviation for continuous variables).  Statistical significance commentary should include p-values. And the interpretation of the results is where you revisit the research hypothesis to think critically about your research. If something is significant- explain what it means to you. If you have poor results, then you should include limitations to the study.


But writing is an art form and practice is the best way to get better at it.


-Moore to Follow Amy

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