This is for a Dr. PH Quantatative Analysis CourseOnly 2-3 paragraphs required You had the chance earlier in the week to perform an article critique on ANOVA testing and obtain peer feedback. Now it is time to put all of that good practice to use and answer a social research question with the one-way ANOVA. As you head into the assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the dependent and independent variables (factor) are amenable to use in the ANOVA (i.e., be sure to note levels of measurement).For this Assignment, you will examine the one-way ANOVA based on a research question.To prepare for this Assignment: Using the SPSS software, open the Afrobarometer dataset found in the Learning Resources for this week. Based on the dataset you chose, construct a research question that can be answered with a one-way ANOVA. Once you perform your one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment:Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. Using the Afrobarometer Dataset, report the mean of Q1 (Age). Do not forget to evaluate if the assumptions of the test are met. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research question, and display of output. Submit Assignment: Testing for One-Way ANOVA. ANOVA results attached Research Question to use: To what extent is there a difference for problems with public health clinics between Urban, rural and simi urban Translate your RQ into two hypothesesNull hypothesis (no difference- States the opposite ;Tested in SPSS))Alt hypothesis At least (one difference-States what you are expecting to find/learn) Does not meet the assumption of Homo or variances p< .05P<.05, reject the null hypo Eta squared (.01 small, .09 medium, .25 large) make sure you cite a reference of eta sq. range Point estimate .004 Be sure to: Describe variables Interpret Levene's/decide which post hoc to report Interpret ANOVA p-value. If significant, interpret Eta Square (effect size) Report the post hoc results If there are differences between groups, reach back to the means and describe HOW they are differentTell the story of the dataSignificance Meaningfulness Evaluated with effect size Stronger effect size = more meaningful Critically evaluate effect size, reported or unreported, in published research articles Connect the effect size interpretation to meaningfulness Effect size has interpretive value when p < .05 if results are insignificant (p > .05) do not report effect! References: Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications. (ch 11 attached) Laureate Education (Producer). (2016h). One-way ANOVA demonstration [Video file]. Baltimore, MD: Author. (Transcript attached)
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