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Research Design and Independent Samples Tests: How Are They Connected? The best way to solidify your understanding of statistical testing is to actually engage in

Research Design and Independent Samples Tests: How Are They Connected? The 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 an independent sample t test, and interpret the results. Whether 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. To prepare for this Discussion: Review the Learning Resources and the media programs related to t tests. Using the SPSS software, open the High School Longitudinal Study dataset found in this week's Learning Resources and construct a research question that involves an independent sample t test By Day 3 - Use SPSS to answer the research question you constructed and post your response to the following questions. Please note: Your responses must be numbered to coincide with the questions below. What is your research question? Please note: Your question must align with an independent sample t-test. What is the null hypothesis for your question? What research design would align with this question? What comparison of means test was used to answer the question? What dependent variable was used and how is it measured? Please note: The dependent variable in a t-test must be continuous (interval or ration). What independent variable is used and how is it measured? Please note: The independent variable in a t-test must be categorical and can only have two levels. If you found significance, what is the strength of the effect? Make sure to report and interpret the effect size. See weekly notes for a link to an easyto-use effect size calculator. Identify your research question and explain your results for a lay audience, what is the answer to your research question? Be sure to support your Main Post and Response Post with reference to the week's Learning Resources and other scholarly evidence in APA Style. By Day 5 Respond to one of your colleagues' posts and: Make recommendations for the design choice. Explain whether you think that this is the appropriate t test to use for the question. Why or why not? As a lay reader, were you able to understand the results and their implications? Why or why not? Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message

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