Assignment

Assignment 3: t Tests and ANOVA

This week, you explore key statistical concepts related to data and problem solving through the completion of the following exercises using SPSS and the information found in your Statistics and Data Analysis for Nursing Research textbook. The focus of this assignment is to become familiar with the SPSS data analysis software, and to develop an understanding of how to calculate and summarize inferential statistics using t tests and ANOVA.

To prepare:

· Review the Statistics and Data Analysis for Nursing Research chapters that you read as a part of the Week 5 Learning Resources. As you do so, pay close attention to the examples presented—they provide information that will be useful for you to recall when completing the software exercises. You may also wish to review the Research Methods for Evidence-Based Practice video resources.

· Refer to the  Week 5  t  Test Exercises  and follow the directions to perform a t test.

· Download and save the  Polit2SetC.sav  data set. You will open the data file in SPSS.

· Compare your data output against the tables presented in the  Week 5  t  Test Exercises SPSS Output .

· Formulate an initial interpretation of the meaning or implication of your calculations.

· Refer to the  Week 5 ANOVA Exercises  and follow the directions to perform an ANOVA using the  Polit2SetA.sav  data set.

· Compare your data output against the tables presented in the  Week 5 ANOVA Exercises SPSS Output .

· Formulate an initial interpretation of the meaning or implication of your calculations.

To complete:

· Complete the Part I, Part II, and Part III steps and Assignments as outlined in the  Week 5  t  Test Exercises  page.

· Complete the steps and Assignment as outlined in the  Week 5 ANOVA Exercises  page.

· Create one document with your responses to the t test exercises and the ANOVA exercises.

Learning Resources

Required Media

Research By Design. (2017, December 7). 05 SPSS for beginners – One sample t Test [Video File]. Retrieved from https://www.youtube.com/watch?v=C2Qa5d9ij0Y

Laureate Education (Producer). (2016). The t test for independent samples [Video File]. Baltimore, MD: Author. Retrieved from http://studyhall.laureate.net/research/quantitative-reasoning-and-analysis-resources-rsch-8210/

0:00 / 5:29

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Laureate Education (Producer). (2016). The t test for related samples [Video File].  Baltimore, MD: Author. Retrieved from http://studyhall.laureate.net/research/quantitative-reasoning-and-analysis-resources-rsch-8210/

0:00 / 4:39

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Laureate Education (Producer). (2016h). One-way ANOVA demonstration [Video File]. Baltimore, MD: Author. Retrieved from http://studyhall.laureate.net/research/quantitative-reasoning-and-analysis-resources-rsch-8210/

0:00 / 9:20

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Required Readings

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

· Chapter 25, “Using Statistics to Determine Differences”  
This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, ttests, and analysis of variance (ANOVA).

Statistics and Data Analysis for Nursing Research

· Chapter 5, “Statistical Inference” 
This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

·  

· Chapter 6, “t Tests: Testing Two Mean Differences” 
This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

·  

· Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158) 
The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201-208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Optional Resources

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Note: You will access this article from the Walden Library databases.

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html