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Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor ...
Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor this assignment you will use the Data Analysis and Application template (DAA Template [DOC]).For help with SPSS, refer to IBM SPSS Step-by-Step Guide: One-Way ANOVA [DOC].For help copying SPSS output into your DAA, review the Copy/Export Output Instructions [HTML].For information on the data set, you may find the Data Set Instructions [DOC] helpful.Refer to the 7864 Course Study Guide for information on analyses and interpretation.undefinedThe grades.sav file is a sample SPSS data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.undefinedThis week’s assignment is on ANOVA. You will analyze the following variables in the grades.sav data set:undefined SPSS Variable Definition Section Class section Quiz3 Quiz 3: number of correct answers undefinedStep 1: Write Section 1 of the DAA: The Data Analysis PlanundefinedName the variables used in this analysis and whether they are categorical or continuous.State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA).undefinedStep 2: Write Section 2 of the DAA: Testing AssumptionsundefinedTest for one of the assumptions of ANOVA – normality.undefinedCreate SPSS output showing the Shapiro-Wilk test of normality. Run the Shapiro-Wilk test on the dependent variable test for the entire sample. Do not split the data up by gender before running the normality test.Paste the table in the DAA.Interpret the Shapiro-Wilk test and how you determined whether the assumption of normality was met or violated.undefinedStep 3: Write Section 3 of the DAA: Results and InterpretationundefinedPaste the following SPSS tables into the document:undefinedDescriptives tableANOVA tableMultiple Comparison tableReport the means and standard deviations of quiz3 for each group of the section variable.Report the results of the F test and interpret the statistical results against the null hypothesis and state whether it is accepted or rejected.Finally, if the F is significant, interpret the post-hoc tests (multiple comparisons).undefinedStep 4: Write Section 4 of the DAA: Statistical ConclusionsundefinedProvide a brief summary of your analysis and the conclusions drawn about this ANOVA.Analyze the limitations of the statistical test and/or possible alternative explanations for your results.undefinedStep 5: Write Section 5 of the DAA: ApplicationundefinedAnalyze how you might use the ANOVA in your field of study.undefinedName an independent variable (the IV should have three or more groups/categories) and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.undefinedSubmit your DAA template as an attached Word document in the assignment area.undefinedReadingsundefinedRead about how to apply your knowledge of ANOVA and run some analyses in SPSS.undefinedGeorge, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). Routledge.undefinedChapter 12 describes how to run an ANOVA in SPSS.Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.undefinedReview Chapter 12's information on post hoc procedures and output from one-way ANOVAs to help you with your assignment.The 7864 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.undefinedOne-Way ANOVA and the SPSS Data SetundefinedThis week, you will apply your understanding of the one-way ANOVA to the SPSS data set.
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely bas ...
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely based on the data distribution of the collected data. Parametric tests are based on distribution assumptions, such as normality, linearity, equality of variances, etc. These assumptions and others vary based on the statistical test; therefore, it is critical for quantitative researchers to evaluate the assumptions pertaining to their statistical analyses and identify actions taken if assumptions are grossly violated. To prepare for this Discussion, review the Lumley et al. (2002) article, as well as Lessons 19–21 and 24 in the Green and Salkind (2017) text. Use the Walden Library databases to identify a research example using your doctoral research proposal and consider the role and importance of the assumptions underlying each parametric test. Post a comparison of one-sample, paired-samples, and independent-samples t-tests within the context of quantitative doctoral business research. In your comparison, do the following: Describe the research example related to your doctoral research proposal.Describe a hypothetical example appropriate for each t-test, ensuring that the variables are appropriately identified.Analyze the assumptions associated with the independent-samples t-tests and the implications when assumptions are violated.Explain options researchers have when assumptions are violated. Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and at least one additional scholarly source. Resources Green, S. B., & Salkind, N. J. (2017). Using SPSS for Windows and Macintosh: Analyzing and understanding data (8th ed.). Upper Saddle River, NJ: Pearson. Unit 5, “Creating Variables and Computing Descriptive Statistics”Lesson 19, “Creating Variables” (pp. 88–98)Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (pp. 99–103)Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables” (pp. 104–115)Unit 6, “t Test Procedures”Lesson 24, “Independent-Samples t Test” (pp. 125–129) Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students (7th ed.). Essex, England: Pearson Education Unlimited. Chapter 12, “Analysing Quantitative Data” Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The importance of the normality assumption in large public health data sets, Annual Review of Public Health, 23(1), 151–170. doi:10.1146.annurev.publheath.23.100901.140546 Note: You will access this article from the Walden Library databases. Paul, H., & Garg, P. (2014). Organizational commitment of frontline sales professionals in India: Role of resilience. International Journal of Business Insights and Information, 7(2), 12–18. Retrieved from http://www.ijbit.org/home Note: This article contains several statistical analyses, to include the independent-samples t-test. You will access this article from the Walden Library databases.
Statistics Question
The questions are structured so that a single letter, word, or number will suffice. Computational
questions are arranged s ...
Statistics Question
The questions are structured so that a single letter, word, or number will suffice. Computational
questions are arranged so that partial credit can be given for each step answered correctly.
Always use the following model to submit your answers to the questions.
EXAMPLE:
Your name:
Midterm Exam:
Answers
Q1 C
Q2 B
Q3 A, etc.
If the question requires computation, do the calculations and then give the correct
values as follows:
(Always hold all decimal values through your computations, and round final
answers to at least two decimal places)!
Q4 7
Q5 4
Q6 22, etc.
If the question is a fill in the blank, just put in the appropriate word(s) as follows:
Q7 statistics
Q8 dependent variable, etc
University of New Hampshire Predictive House Modelling
In submitting the final project report evidence must be supplied indicating how each step of the project has been complete ...
University of New Hampshire Predictive House Modelling
In submitting the final project report evidence must be supplied indicating how each step of the project has been completed, except for steps 1 and 7 which do not apply to this project.
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Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor ...
Capella University Quantitative Design & Analysis ANOVA Application Report
ANOVA APPLICATION AND INTERPRETATIONundefinedInstructionsundefinedComplete the following for this assignment:undefinedFor this assignment you will use the Data Analysis and Application template (DAA Template [DOC]).For help with SPSS, refer to IBM SPSS Step-by-Step Guide: One-Way ANOVA [DOC].For help copying SPSS output into your DAA, review the Copy/Export Output Instructions [HTML].For information on the data set, you may find the Data Set Instructions [DOC] helpful.Refer to the 7864 Course Study Guide for information on analyses and interpretation.undefinedThe grades.sav file is a sample SPSS data set. The data represent a teacher's recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of 35 students (N = 105). There are 21 variables in grades.sav.undefinedThis week’s assignment is on ANOVA. You will analyze the following variables in the grades.sav data set:undefined SPSS Variable Definition Section Class section Quiz3 Quiz 3: number of correct answers undefinedStep 1: Write Section 1 of the DAA: The Data Analysis PlanundefinedName the variables used in this analysis and whether they are categorical or continuous.State a research question, null hypothesis, and alternate hypothesis for the analysis of variance (ANOVA).undefinedStep 2: Write Section 2 of the DAA: Testing AssumptionsundefinedTest for one of the assumptions of ANOVA – normality.undefinedCreate SPSS output showing the Shapiro-Wilk test of normality. Run the Shapiro-Wilk test on the dependent variable test for the entire sample. Do not split the data up by gender before running the normality test.Paste the table in the DAA.Interpret the Shapiro-Wilk test and how you determined whether the assumption of normality was met or violated.undefinedStep 3: Write Section 3 of the DAA: Results and InterpretationundefinedPaste the following SPSS tables into the document:undefinedDescriptives tableANOVA tableMultiple Comparison tableReport the means and standard deviations of quiz3 for each group of the section variable.Report the results of the F test and interpret the statistical results against the null hypothesis and state whether it is accepted or rejected.Finally, if the F is significant, interpret the post-hoc tests (multiple comparisons).undefinedStep 4: Write Section 4 of the DAA: Statistical ConclusionsundefinedProvide a brief summary of your analysis and the conclusions drawn about this ANOVA.Analyze the limitations of the statistical test and/or possible alternative explanations for your results.undefinedStep 5: Write Section 5 of the DAA: ApplicationundefinedAnalyze how you might use the ANOVA in your field of study.undefinedName an independent variable (the IV should have three or more groups/categories) and dependent variable that would work for such an analysis and why studying it may be important to the field or practice.undefinedSubmit your DAA template as an attached Word document in the assignment area.undefinedReadingsundefinedRead about how to apply your knowledge of ANOVA and run some analyses in SPSS.undefinedGeorge, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). Routledge.undefinedChapter 12 describes how to run an ANOVA in SPSS.Field, A. (2018). Discovering statistics using IBM SPSS: North American edition (5th ed.). Sage.undefinedReview Chapter 12's information on post hoc procedures and output from one-way ANOVAs to help you with your assignment.The 7864 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.undefinedOne-Way ANOVA and the SPSS Data SetundefinedThis week, you will apply your understanding of the one-way ANOVA to the SPSS data set.
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely bas ...
Discussion: Data Assumptions and Parametric Statistical Tests
Discussion: Data Assumptions and Parametric Statistical Tests The accuracy of parametric statistical tests is largely based on the data distribution of the collected data. Parametric tests are based on distribution assumptions, such as normality, linearity, equality of variances, etc. These assumptions and others vary based on the statistical test; therefore, it is critical for quantitative researchers to evaluate the assumptions pertaining to their statistical analyses and identify actions taken if assumptions are grossly violated. To prepare for this Discussion, review the Lumley et al. (2002) article, as well as Lessons 19–21 and 24 in the Green and Salkind (2017) text. Use the Walden Library databases to identify a research example using your doctoral research proposal and consider the role and importance of the assumptions underlying each parametric test. Post a comparison of one-sample, paired-samples, and independent-samples t-tests within the context of quantitative doctoral business research. In your comparison, do the following: Describe the research example related to your doctoral research proposal.Describe a hypothetical example appropriate for each t-test, ensuring that the variables are appropriately identified.Analyze the assumptions associated with the independent-samples t-tests and the implications when assumptions are violated.Explain options researchers have when assumptions are violated. Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and at least one additional scholarly source. Resources Green, S. B., & Salkind, N. J. (2017). Using SPSS for Windows and Macintosh: Analyzing and understanding data (8th ed.). Upper Saddle River, NJ: Pearson. Unit 5, “Creating Variables and Computing Descriptive Statistics”Lesson 19, “Creating Variables” (pp. 88–98)Lesson 20, “Univariate Descriptive Statistics for Qualitative Variables” (pp. 99–103)Lesson 21, “Univariate Descriptive Statistics for Quantitative Variables” (pp. 104–115)Unit 6, “t Test Procedures”Lesson 24, “Independent-Samples t Test” (pp. 125–129) Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students (7th ed.). Essex, England: Pearson Education Unlimited. Chapter 12, “Analysing Quantitative Data” Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The importance of the normality assumption in large public health data sets, Annual Review of Public Health, 23(1), 151–170. doi:10.1146.annurev.publheath.23.100901.140546 Note: You will access this article from the Walden Library databases. Paul, H., & Garg, P. (2014). Organizational commitment of frontline sales professionals in India: Role of resilience. International Journal of Business Insights and Information, 7(2), 12–18. Retrieved from http://www.ijbit.org/home Note: This article contains several statistical analyses, to include the independent-samples t-test. You will access this article from the Walden Library databases.
Statistics Question
The questions are structured so that a single letter, word, or number will suffice. Computational
questions are arranged s ...
Statistics Question
The questions are structured so that a single letter, word, or number will suffice. Computational
questions are arranged so that partial credit can be given for each step answered correctly.
Always use the following model to submit your answers to the questions.
EXAMPLE:
Your name:
Midterm Exam:
Answers
Q1 C
Q2 B
Q3 A, etc.
If the question requires computation, do the calculations and then give the correct
values as follows:
(Always hold all decimal values through your computations, and round final
answers to at least two decimal places)!
Q4 7
Q5 4
Q6 22, etc.
If the question is a fill in the blank, just put in the appropriate word(s) as follows:
Q7 statistics
Q8 dependent variable, etc
University of New Hampshire Predictive House Modelling
In submitting the final project report evidence must be supplied indicating how each step of the project has been complete ...
University of New Hampshire Predictive House Modelling
In submitting the final project report evidence must be supplied indicating how each step of the project has been completed, except for steps 1 and 7 which do not apply to this project.
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