Due 3/1/19 5 p.m EST
BE ON TIME AND ORIGINAL WORK
APA and references
PLEASE READ DIRECTIONS..
DON’T ASK IF YOU HAVE SPSS ISSUES!!
As you conduct research, you must align your statistical analysis method with your research question in order to produce valid and reliable results. You must also select appropriate variables to measure your research question. For the purposes of this Discussion, you explore the dataset (attached), propose a research question, and then determine the appropriate test—t-test or Chi Square test—to address your research question.
For this Discussion, review this week’s Learning Resources, including the dataset, the, and the t-test and Chi Square documents. Based on the data set, create two research questions: one that would use Chi Square and one that would use t-test.
With these thoughts in mind:
Review the Week 1 Dataset(Attached), which is available in the Learning Resources.
Post a research question relevant to the dataset. Please specify the dependent and independent variables you would use from the dataset to address the question, as well as the level of measurement for the dependent and independent variables. Justify your selection. Finally, explain whether you would use a t-test or Chi Square test to analyze this data and to address your research question. Explain why you chose this test. Focus on aligning the statistical analysis with both the research question and the variables you described. Be sure that your research question is unique in terms of this Discussion.
example (DONT USE
For the sample population measured in this week’s dataset, the research question: Is there a difference in the frequency of hypertension diagnoses for men versus women? The dependent variable (nominal level of measurement), used to answer this question is Hypertension, which measures if the respondent had a hypertension diagnosis or not (0 = no hypertension, 1 = had hypertension) The independent variable (nominal level of measurement), used to answer this research question is “Sex”, which identifies (measures) the respondent’s gender (1 = male, 2 = female) Since the variables are categorical and dichotomous, I would use a Chi-Square test to analyze the data (Salazar et al., 2015). The Chi-Square test assists in answering my research question, since it identifies if there is a relationship between gender and hypertension diagnosis Specifically, the Chi-Square test can identify if there is a statistically significant difference in the outcome of hypertension diagnosis between the male group and the female group (Walden University, n.d.).
