Discussion: Application and Interpretation

Discussion: Application and Interpretation ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Discussion: Application and Interpretation I need an explanation for this Statistics question to help me study. Discussion: Application and Interpretation This assignment involves ANOVA application and interpretation. IBM SPSS software must be used to complete. I will send a file(s) with the following information: -Data analysis template -One way anova PDF -Data base to be used (zip file) -Scoring guide (works needs to be distinguished catagory) -additional resources -Specific assignment instructions. Thanks! Rebecca assessment_4_instructions_for_studypool.docx assignment_4_template.docx one_way_anova_guide.pdf grades_3.sav.zip assignment_4_add Assessment Instructions ASSESSMENT INSTRUCTIONS ANOVA APPLICATION AND INTERPRETATION Use the following resources as you complete this assessment: You will complete this assessment using the Data Analysis and Application Template [DOCX] (also known as the DAA Template). • Refer to the IBM SPSS Step-By-Step Instructions: One-Way ANOVA [PDF] for additional information on using SPSS for this assessment. • If necessary, review the Copy/Export Output Instructions [PDF] to refresh your memory on how to perform these tasks. As with previous assessments, your submission should be in narrative format with supporting statistical output (table and graphs) integrated into the narrative in the appropriate places (not all at the end of the document). You will analyze the correlations among the following variables in the grades.sav data set: • section. • quiz3. Step 1: Write Section 1 of the DAA – the Data Analysis Plan: • Briefly describe the goal of your analysis. • State your research question, null, and alternate hypothesis. • Specify the variables used in this analysis (predictor, outcome) and the scale of measurement of each variable. • State the sample size (N) and the alpha level you will use (.05 unless otherwise specified). • Explain why the analysis is a good choice based on the nature of your variables. Step 2: Write Section 2 of the DAA – Testing Assumptions: • Articulate and test the assumptions of ANOVA.Discussion: Application and Interpretation • Paste the SPSS histogram output for quiz3 and discuss your visual interpretations. • Paste SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them. • Paste the SPSS descriptives output showing skewness and kurtosis values for quiz3 and interpret them. • Paste the SPSS output for the Shapiro-Wilk test of quiz3 and interpret it. • Report the results of the Levene test and interpret it. • Explain whether or not the assumptions of ANOVA are met. If assumptions are not met, discuss how to ameliorate violations of the assumptions. Step 3: Write Section 3 of the DAA – Results and Interpretation. • Paste the SPSS output of the means plot and provide an interpretation. Also report the means and standard deviations of quiz3 for each level of the section variable. • Paste the SPSS ANOVA output and report the results of the F test. Include the following o Degrees of freedom. o F value. o p value. o Calculated effect size. o Interpretation of the effect size. o Finally, if the omnibus F is significant, provide the SPSS post-hoc (Tukey HSD) output. o Interpret the post-hoc tests • Interpret statistical results against the null hypothesis and state whether it is accepted or rejected. Step 4: Write Section 4 of the DAA – Statistical Conclusions. • • 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: Write Section 5 of the DAA – Application: • • Analyze how you might use this statistical approach in your field and what the potential implications would be. Submit your DAA Template as an attached Word document in the assessment area. • Software The following statistical analysis software is required to complete your assessments in this course: IBM SPSS Statistics Standard or Premium GradPack, version 24 or higher, for PC or Mac. You have access to the more robust IBM SPSS Statistics Premium GradPack. Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners. Make sure that your SPSS software is downloaded and installed with fully activated licensing on your computer and running properly within your operating system (PC or Mac). Discussion: Application and Interpretation If you need help with these steps, refer to the SPSS Installation Helper. • ANOVA Application and Interpretation Scoring Guide CRITERIA NONPERFORMANCE BASIC PROFICIENT DISTINGUISHED Articulate the data analysis plan. Does not articulate the data analysis plan. Insufficiently articulates the data analysis plan or contains some errors of logic and application. Accurately and logically articulates the data analysis plan. Accurately articulates the data analysis plan. The data analysis plan is well justified, logical, and thorough. Analyze statistical assumptions. Does not analyze statistical assumptions. Incorrectly analyzes statistical assumptions or contains some errors of logic and application. Accurately analyzes statistical assumptions. Accurately analyzes statistical assumptions. Statistical assumptions are thoroughly evaluated and assessed. Interpret statistical results and hypotheses. Does not interpret statistical results and hypotheses. Incorrectly interprets statistical results and hypotheses or contains some errors of logic and application. Accurately interprets statistical results and hypotheses. Accurately interprets statistical results and hypotheses. Statistical results are thoroughly evaluated and assessed. Explain statistical conclusions, the limitations of the test, and Does not explain statistical conclusions, the limitations of Insufficiently explains statistical conclusions, the limitations of the test, Logically and accurately explains statistical conclusions, the limitations Statistical conclusions, the limitations of the test, and possible alternative CRITERIA NONPERFORMANCE BASIC PROFICIENT DISTINGUISHED possible alternative explanations.Discussion: Application and Interpretation the test, and possible alternative explanations. and possible alternative explanations or contains some errors of logic and application. of the test, and possible alternative explanations. explanations are logical and thoroughly evaluated. Run the analysis and post the findings in the DAA. Two or more sections of the data analysis are missing from the DAA. One section of the data analysis is missing from the DAA. All portions of the data analysis are completed and included in the DAA. All portions of the data analysis are completed, included, and thoroughly evaluated in the DAA. Analyze the potential applications of the test in the field and their implications. Does not analyze the potential applications of the test in the field and their implications. Incorrectly analyzes potential applications of the test in the field and their implications; these elements are not well discussed or contain some errors in logic. Analyzes the potential applications of the test in the field and their implications. Thoroughly analyzes the potential applications of the test in the field and their implications. Communicate in a manner that is scholarly, professional, Does not communicate in a manner that is scholarly, professional, and adheres Inconsistently communicates in a manner that is scholarly, professional, and adheres Communicates in a manner that is scholarly, professional, and adheres to APA style Exhibits strict and nearly flawless adherence to organizational, professional, and scholarly CRITERIA and adheres to APA style and formatting. NONPERFORMANCE to APA style and formatting. BASIC to APA style and formatting. PROFICIENT and formatting. DISTINGUISHED writing standards, including APA style and formatting. Running head: DATA ANALYSIS AND APPLICATION TEMPLATE Data Analysis and Application (DAA) Template Learner Name Capella University 1 DATA ANALYSIS AND APPLICATION TEMPLATE Data Analysis and Application (DAA) Template Use this file for all assignments that require the DAA Template. Although the statistical tests will change from week to week, the basic organization and structure of the DAA remains the same. Update the title of the template. Discussion: Application and Interpretation Remove this text and provide a brief introduction. Section 1: Data File Description 1. Describe the context of the data set. You may cite your previous description if the same data set is used from a previous assignment. 2. Specify the variables used in this DAA and the scale of measurement of each variable. 3. Specify sample size (N). Section 2: Testing Assumptions 1. Articulate the assumptions of the statistical test. 2. Paste SPSS output that tests those assumptions and interpret them. Properly integrate SPSS output where appropriate. Do not string all output together at the beginning of the section. 3. Summarize whether or not the assumptions are met. If assumptions are not met, discuss how to ameliorate violations of the assumptions. Section 3: Research Question, Hypotheses, and Alpha Level 1. Articulate a research question relevant to the statistical test. 2. Articulate the null hypothesis and alternative hypothesis. 3. Specify the alpha level. Section 4: Interpretation 1. Paste SPSS output for an inferential statistic. Properly integrate SPSS output where appropriate. Do not string all output together at the beginning of the section. 2. Report the test statistics. 2 DATA ANALYSIS AND APPLICATION TEMPLATE 3. Interpret statistical results against the null hypothesis. Section 5: Conclusion 1. State your conclusions. 2. Analyze strengths and limitations of the statistical test. 3 DATA ANALYSIS AND APPLICATION TEMPLATE References Provide references if necessary. 4 IBM SPSS Step-by-Step Guide: One-Way ANOVA Note: This guide is an example of creating ANOVA output in SPSS with the grades.sav file. The variables shown in this guide do not correspond with the actual variables assigned in Assessment 4. Carefully follow the instructions in the assignment for a list of assigned variables. Screen shots were created with SPSS 21.0. Creating One-Way ANOVA Output To complete Section 2 of the DAA for Assessment 4, you will generate SPSS output for a histogram, descriptive statistics, and the Shapiro-Wilk test, which are covered in previous step-by-step guides. The Levene test (homogeneity of variance) is covered in the steps below. Refer to the Assessment 4 instructions for a list of assigned variables. The example variables year and final are shown below. Step 1. Open grades.sav in SPSS. 1 Step 2. On the Analyze menu, point to Compare Means and click One-Way ANOVA… Step 3. In the One-Way ANOVA dialog box: •Discussion: Application and Interpretation Move the assigned dependent variable into the Dependent List box. • Move the assigned independent variable into the Factor box. The examples of final and year are shown below. • Click the Options button. 2 Step 4. In the One-Way ANOVA: Options dialog box: • Select Homogeneity of variance test (for the Levene test for Section 2 of the DAA). • Select Descriptive and Means Plot (for Section 4 of the DAA). • Click Continue. • Return to the One-Way ANOVA dialog box and select the Post Hoc button. Step 5. In the One-Way ANOVA: Post Hoc Multiple Comparisons dialog box: • Check the Tukey option for multiple comparisons. • Click Continue and OK. 3 Interpreting One-Way ANOVA Output A string of ANOVA output will appear in SPSS. (The output below is for the example variable final.) Step 1. Copy the Levene test output from SPSS and paste it into Section 2 of the DAA Template. Then interpret it for the homogeneity of variance assumption. Test of Hom ogeneity of Variances final Levene Statistic .866 df1 df2 3 Sig. 101 .462 Step 2. Copy the means plot, paste it into Section 4 of the DAA Template, and interpret it. Step 3. Copy the descriptives output. Paste it into Section 4 along with the report of means and standard deviations of the dependent variable at each level of the independent variable. Descriptives final N Mean Std. Deviation Std. Error 95% Confidence Interval for Minimum Maximum Mean Low er Bound Upper Bound Frosh 3 59.33 5.859 3.383 44.78 73.89 55 66 Soph 19 62.42 6.628 1.520 59.23 65.62 48 72 Junior 64 61.47 8.478 1.060 59.35 63.59 40 75 Senior 19 60.89 7.951 1.824 57.06 64.73 43 74 105 61.48 7.943 .775 59.94 63.01 40 75 Total 4 Step 4. Copy the ANOVA output, paste it into Section 4, and interpret it. ANOVA final Sum of Squares Betw een Groups df Mean Square F 37.165 3 12.388 Within Groups 6525.025 101 64.604 Total 6562.190 104 Sig. .192 .902 Step 5. Finally, if the overall ANOVA is significant, copy the post hoc output, paste it into Section 4, and interpret it. Multiple Com parisons Dependent Variable: final Tukey HSD (I) Year in school (J) Year in school Mean Std. Error Sig. Difference (I-J) Frosh Soph Junior Senior 95% Confidence Interval Low er Bound Upper Bound Soph -3.088 4.993 .926 -16.13 9.96 Junior -2.135 4.748 .970 -14.54 10.27 Senior -1.561 4.993 .989 -14.61 11.48 Frosh 3.088 4.993 .926 -9.96 16.13 Junior .952 2.100 .969 -4.53 6.44 Senior 1.526 2.608 .936 -5.29 8.34 Frosh 2.135 4.748 .970 -10.27 14.54 Soph -.952 2.100 .969 -6.44 4.53 Senior .574 2.100 .993 -4.91 6.06 Frosh 1.561 4.993 .989 -11.48 14.61 Soph -1.526 2.608 .936 -8.34 5.29 Junior -.574 2.100 .993 -6.06 4.91 5 Additional Resources: ANOVA You can do some reading on how to apply your knowledge of ANOVA and run some analyses in SPSS: • o George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). New York, NY: Routledge. Chapter 12, pages 159–168, describes how to run an ANOVA in SPSS. SHOW LESS Course Study Guide The Course Study Guide [PDF] highlights content to focus on as you read and absorb the materials. You may also find some additional articles with direct relevance to your field here. Psychology Learners In addition to the other study activities for this assessment, Psychology Learners should also read the following resources: •Discussion: Application and Interpretation • Cunningham, M. R., & Baumeister, R. F. (2016). How to make nothing out of something: Analyses of the impact of study sampling and statistical interpretation in misleading meta-analytic conclusions. Frontiers in Psychology, 7, pages 1–9. Nielsen, M., Haun, D., Kartner, Joscha, Legare, C. H. (2017). The persistent sampling bias in developmental psychology: A call to action. Journal of Experimental Child Psychology, 162, pages 31–38. Assessment Preparation Review the following to help prepare for your assessment: • o Field, A. (2018). Discovering statistics using SPSS: North American edition (5th ed.). Thousand Oaks, CA: Sage. Chapters 6 and 12. Review Chapter 12’s information on post hoc procedures and output from one-way ANOVAs. One-Way ANOVA and the SPSS Data Set In this assessment, you will apply your understanding of the one-way ANOVA to the SPSS data set. … Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10

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