![]() ![]() ![]() Thousand Oaks, CA: Sage Publications. Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.Ĭhapter 13, “Regression and Correlation” (pp. Social statistics for a diverse society (7th ed.). In your critique, include responses to the following:Why did the authors use correlation or bivariate regression?Do you think 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 interpret the study from it?) Why or why not?ReferencesFrankfort-Nachmias, C., & Leon-Guerrero, A. You will critically evaluate a scholarly article related to correlation and bivariate regression.Use the Course Guide and Assignment Help found in this week’s Learning Resources and search for a quantitative article related to correlation and bivariate regression.Write a 2- to 3-page critique of the article you found. Based on your results, provide an explanation of what the implications of social change might be.Part 2For this Assignment, you will continue your practice as a critical consumer of research. In your analysis, display the data for the output. Part 1To prepare for this Assignment:Review this week’s Learning Resources and media program related to regression and correlation.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning 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 into your Word documentWrite a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. The numerator degrees of freedom are those for the Source in the above table, while the denominator degrees of freedom in this (fixed-effects) ANOVA is always. ![]() The output parameters will give the expected sample size. Therefore, the required sample size (a priori) = 159.ĭata points in each group can be calculated as follows Īfter conducting a chi-square goodness of fit test in the G-power software, it is not given The experiment analysis will utilize three groups and then run an F-test analysis.ĭetailed below are the input and output results of the priori analysis. The expected medium effect of the analysis is set at α = 0.05, with a minimum The G-power analysis will beīased on ANOVA fixed effect, one way, omnibus to determine the output results (Murphy & To determine the sample size using the G-power, there is the need to run a power analysisĪnd determine the output results based on the input results given. Running Head: Sample Size and Statistical Power ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |