In this week, you will examine one-way ANOVA.
You gained an understanding of how t tests can assist with determining whether differences exist between samples. The t test has significant utility in hypothesis testing, but its inherent weakness is that it cannot compare more than two groups in one test. As a social researcher, you often have multiple samples/groups to compare. For instance, you might want to test for differences in socioeconomic status across racial identity, determine which educational intervention has the greatest potential across different treatment groups, or determine whether there are differences in disease risk factors across levels of education attainment. These are all examples where you likely have three or more groups that you want to compare. To perform this task, we call upon the one-way ANOVA. In this week, you will examine one-way ANOVA. In your examination, you will construct research questions, evaluate research design, and analyze results related to one-way ANOVA testing. Learning Objectives Students will: Construct research questions Evaluate research design through research questions Analyze one-way ANOVA testing Analyze measures for one-way ANOVA testing Evaluate significance of one-way ANOVA testing Analyze results for one-way ANOVA testing Analyze assumptions of one-way ANOVA Analyze implications for social change Evaluate research related to one-way ANOVA tests Discussion: Research Design for One-Way ANOVA Similar to the previous week’s Discussion, this Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week, you will once again work with a real, secondary dataset to construct a research question, perform a one-way ANOVA, 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 this week’s Learning Resources and media program related to one-way ANOVA testing. Using the SPSS software, open the General Social Survey dataset found in this week’s Learning Resources. Using the General Social Survey dataset, construct a research question that can be answered by a one-way ANOVA. By Day 3 Use SPSS to answer the research question. Post your response to the following: What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured? If you found significance, what is the strength of the effect? Explain your results for a lay audience and further explain what the answer is 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.
ANSWER.PAPER DETAILS |
|
| Academic Level | Masters |
| Subject Area | Nursing |
| Paper Type | Assignment |
| Number of Pages | 2 Page(s)/550 words |
| Sources | 3 |
| Paper Format | APA |
| Spacing | Double Spaced |
If this is not the paper you were searching for, you can order your 100% plagiarism free, custom written paper now!
WE WRITE ESSAYS FOR STUDENTS
Tell us about your assignment and we will find the best writer for your paper.
Write My Essay For Me
The post In this week, you will examine one-way ANOVA. appeared first on Nursing Papers Market.
Let our team of professional writers take care of your essays for you! We provide quality and plagiarism free academic papers written from scratch. Sit back, relax, and leave the writing to us! Meet some of our best research paper writing experts. We obey strict privacy policies to secure every byte of information between you and us.
ORDER ORIGINAL ANSWERS WRITTEN FROM SCRATCH


