quantitative Reasoning and Analysis (statistics for health education ) week 8 A

Assignment 1: Testin" rel="nofollow">ing for Correlation and Bivariate Regression You had the chance earlier in" rel="nofollow">in the week to practice with the correlation and simple lin" rel="nofollow">inear regression and obtain" rel="nofollow">in peer feedback. Hopefully you are excited about the potential these tests hold; equally important is that you recognize some of their weaknesses. Now, it is once again" rel="nofollow">in time to put all of that good brain" rel="nofollow">instormin" rel="nofollow">ing to use and answer a social research question with the correlation and simple lin" rel="nofollow">inear regression. As you begin" rel="nofollow">in the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure that your variables are metric level variables that can easily be in" rel="nofollow">interpreted in" rel="nofollow">in these tests. For this Assignment, you will examin" rel="nofollow">ine correlation and bivariate regression testin" rel="nofollow">ing. To prepare for this Assignment: Review this week’s Learnin" rel="nofollow">ing Resources and media program related to regression and correlation. Usin" rel="nofollow">ing the SPSS software, open the Afrobarometer dataset or the High School Longitudin" rel="nofollow">inal Study dataset (whichever you choose) found in" rel="nofollow">in the Learnin" rel="nofollow">ing Resources for this week. Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression. Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output in" rel="nofollow">into your Word document. For this Assignment: Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. 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 referencin" rel="nofollow">ing for your analysis, research question, and display of output. By Day 7 Submit your Assignment 1: Testin" rel="nofollow">ing for Correlation and Bivariate Regression. Assignment 2: Correlation and Bivariate Regression in" rel="nofollow">in Practice For this Assignment, you will contin" rel="nofollow">inue your practice as a critical consumer of research. You will critically evaluate a scholarly article related to correlation and bivariate regression. To prepare for this Assignment: Use the Course Guide and Assignment Help found in" rel="nofollow">in this week’s Learnin" rel="nofollow">ing Resources and search for a quantitative article related to correlation and bivariate regression. For this Assignment: Write a 2- to 3-page critique of the article you found. In your critique, in" rel="nofollow">include responses to the followin" rel="nofollow">ing: Why did the authors use correlation or bivariate regression? Do you thin" rel="nofollow">ink it’s the most appropriate choice? Why or why not? Did the authors display the data? Does the results table stand-alone (i.e., are you able to in" rel="nofollow">interpret the study from it?) Why or why not? Use proper APA format, citations, and referencin" rel="nofollow">ing. By Day 7 Submit your Assignment 2: Correlation and Bivariate Regression Practice. Week 8: Correlation and Bivariate Regression Correlation tests are some of the most widely used tests; unfortunately, they are also some of the most misin" rel="nofollow">interpreted tests. The term correlation is frequently used in" rel="nofollow">in a colloquial sense, but has a very specific defin" rel="nofollow">inition within" rel="nofollow">in the context of statistics. As a critical consumer of research, after this week you will be able to properly in" rel="nofollow">interpret the strengths and weaknesses of this specific test. Perhaps the most excitin" rel="nofollow">ing part of this week’s activities is the in" rel="nofollow">introduction to ordin" rel="nofollow">inary least squares regression. This form of lin" rel="nofollow">inear regression is frequently referred to as the “workhorse” of the social sciences, and for good reason. It is one of the most widely used statistical tests. In this week, you will examin" rel="nofollow">ine correlation and bivariate regression. In your examin" rel="nofollow">ination you will construct research questions, evaluate research design, and analyze results related to correlation and bivariate regression. Learnin" rel="nofollow">ing Objectives Students will: Construct research questions Evaluate research design through research questions Analyze correlation and bivariate regression Analyze measures for correlation and bivariate regression Analyze significance of correlation and bivariate regression Analyze results for correlation and bivariate regression testin" rel="nofollow">ing Analyze assumptions of correlation and bivariate regression Analyze implications for social change Evaluate research related to correlation and bivariate regression Learnin" rel="nofollow">ing Resources Required Readin" rel="nofollow">ings Frankfort-Nachmias, C., & Leon-Guerrero, A. (2015). Social statistics for a diverse society (7th ed.). Thousand Oaks, CA: Sage Publications. Chapter 13, “Regression and Correlation” (pp. 413–476) Wagner, W. E. (2016). Usin" rel="nofollow">ing IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications. Chapter 7, “Cross-Tabulation and Measures of Association for Nomin" rel="nofollow">inal and Ordin" rel="nofollow">inal Variables” Chapter 11, “Editin" rel="nofollow">ing Output” (previously read in" rel="nofollow">in Week 2, 3, 4, 5. 6, and 7) Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from https://academicguides.waldenu.edu/rsch8210 For help with this week’s research, see this Course Guide and related weekly assignment resources. Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from https://rpsychologist.com/in" rel="nofollow">index.html As you review this web blog, select New d3.js visualization: Interpretin" rel="nofollow">ing Correlations lin" rel="nofollow">ink, once you select the lin" rel="nofollow">ink, follow the in" rel="nofollow">instructions to view the in" rel="nofollow">interactive for in" rel="nofollow">interpretin" rel="nofollow">ing correlations. This in" rel="nofollow">interactive will help you to visualize and understand correlations between two variables. Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty. Datasets Document: Data Set 2014 General Social Survey (dataset file) Use this dataset to complete this week’s Discussion. Note: You will need the SPSS software to open this dataset. Document: Data Set Afrobarometer (dataset file) Use this dataset to complete this week’s Assignment. Note: You will need the SPSS software to open this dataset. Document: High School Longitudin" rel="nofollow">inal Study 2009 Dataset (dataset file) Use this dataset to complete this week’s Assignment. Note: You will need the SPSS software to open this dataset. Required Media Laureate Education (Producer). (2016b). Correlation and bivariate regression [Video file]. Baltimore, MD: Author. Note: The approximate length of this media piece is 9 min" rel="nofollow">inutes. In this media program, Dr. Matt Jones demonstrates correlation and bivariate regression usin" rel="nofollow">ing the SPSS software.