Solved by verified expert:Section A using factorial ANOVA models with SPSS and, ideally, In this Assignment, you apply what you learned to answer a social research question using factorial ANOVA. To prepare Review the datasets provided.Construct a research question with social change implications based on one of those datasets.Be sure to focus on the assumptions of this test and ask yourself, “Does it make sense to interpret the mean of this dependent variable?”Remember that you will need categorical predictor variables. By Day 7 The Assignment Use SPSS to answer the research question you constructed. Then, compose a 1- to 2-paragraph analysis in APA format in which you answer the following questions: What is the null hypothesis for your question?What research design(s) 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?What is the answer to your research question?What are the possible implications of social change? Be sure to include your data output with your analysis Section B For this Assignment, you will critically evaluate a scholarly article related to factorial ANOVA. To prepare Review the Article Critique Assignment Guide in the Walden Library, listed in the Week 2 Learning Resources.Search the Walden Library for a quantitative article that applies factorial analysis of variance. Note that sometimes these are referred to as “two-way ANOVAs.” By Day 7 The Assignment Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts: Why did the authors select factorial ANOVA in the research?Do you think this test was the most appropriate choice? Why or why not?Did the authors display the results in a figure or table?Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not? Resources Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications. Chapter 13, “Factorial Analysis of Variance” (pp. 501–546) This chapter demonstrates the utility of adding a second factor to ANOVA, paving the way to much more sophisticated research questions and output. Learning resources week 2 Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: SAGE Publications. Chapter 15, “Moderation: Tests for Interaction in Multiple Regression” (pp. 611–644) This chapter provides guidance for the analysis of interaction in regression in fairly simple situations, including the ways to actually write up the results of these interactions.
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