\nResearch Design and t Tests: How Are They Connected?
\nThe best way to solidify your understanding of statistical testing is to actually engage in performing some data analysis. This week you will work with a real, secondary dataset to construct a research question, perform a t test, and interpret the results.
\nWhether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.
\nTo prepare for this Discussion:
\nReview the Learning Resources and the media programs related to t tests.
\nUsing the SPSS software, open the High School Longitudinal Study dataset found in this week?s Learning Resources and construct a research question that involves a comparison of a means test.
\nUse SPSS to answer the research question you constructed and post your response to the following:
\nWhat is your research question?
\nWhat is the null hypothesis for your question?
\nWhat research design would align with this question?
\nWhat comparison of means test was used to answer the question (be sure to defend the use of the test using the article you found in your search)?
\nWhat dependent variable was used and how is it measured?
\nWhat independent variable is used and how is it measured?
\nIf you found significance, what is the strength of the effect?
\nIdentify your research question and explain your results for a lay audience, what is the answer to your research question?
\nBe sure to support your Main Post and Response Post with reference to the week?s Learning Resources and other scholarly evidence in APA Style.<\/p>\n","protected":false},"excerpt":{"rendered":"
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