The DAA Template has five sections: • The Data Analysis Plan. • Testing Assumptions. • Results and Interpretation. • Statistical Conclusions. • Application. Step 1: The Data Analysis Plan In Step 1: • Name the four variables used in this analysis and whether they are categorical or continuous. • State a research question, null hypothesis, and alternate hypothesis for one X-Y pair. For example, you could articulate a research question, null hypothesis, and alternate hypothesis for quiz1 (X) and final (Y). Step 2: Testing Assumptions Test for one of the assumptions of correlation—normality. • Create a descriptive statistics table in SPSS to assess normality. This table should include the four variables named above. • Paste the table in the DAA Template. • Interpret the skewness and kurtosis values and how you determined whether the assumption of normality was met or violated. Step 3: Results and Interpretation In Step 3: • Paste the SPSS output of the intercorrelation matrix for all specified variables: o First, report the lowest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation. o Second, report the highest magnitude correlation in the intercorrelation matrix, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Specify whether or not to reject the null hypothesis for this correlation. o Third, report the correlation between GPA and final, including degrees of freedom, correlation coefficient, p value, and effect size. Interpret the effect size. Analyze the correlation in terms of the null hypothesis. • Interpret statistical results against the null hypothesis, and state whether it is accepted or rejected. Step 4: Statistical Conclusions In Step 4: • Provide a brief summary of your analysis and the conclusions drawn. • Analyze the limitations of the statistical test. • Provide any possible alternate explanations for the findings and potential areas for future exploration. Step 5: Application In Step 5: • Analyze how you might use correlations in your field of study. • Name an independent variable and dependent variable that would work for such an analysis and why studying it may be important to the field or practice. Competencies Measured By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria: • Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests. o Analyze statistical assumptions. • Competency 2: Analyze the decision-making process of data analysis. o Articulate the data analysis plan. • Competency 3: Apply knowledge of hypothesis testing. o Interpret statistical results and hypotheses. • Competency 4: Interpret the results of statistical analyses. o Explain statistical conclusions, the limitations of the test, and possible alternative explanations. • Competency 6: Apply the results of statistical analyses (your own or others’) to your field of interest or career. o Analyze the potential applications of the test in the field and their implications. • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study. o Communicate in a manner that is scholarly and professional, and adheres to APA style and formatting. o References o Provide references in proper APA Style. o Tables are in the DAA template for assignment.
