Week 5 Independent t Test Exercises
To prepare:
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.
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.
Part I
The hypothesis being tested is: Women who are working will have a lower level of depression as compared to women who are not working.
Using Polit2SetC SPSS dataset, which contains a number of mental health variables, determine if the above hypothesis is true.
Follow these steps when using SPSS:
1. Open Polit2SetC dataset.
2. Click Analyze then click Compare Means, then Independent Sample T-test.
3. Move the Dependent Variable (CES_D Score “cesd”) in the area labelled Test Variable.
4. Move the Independent Variable (Currently Employed “worknow”) into the area labelled Grouping Variable. The worknow variable is coded as (0= those women who do not work and 1= those women who are working). Click on Define Groups in group 1 box type 0 and in group 2 box type 1. Click Continue.
5. Click continue and then click OK.
Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test.
1. How many women were employed versus not employed in the sample?
2. What is the total sample size?
3. What are the mean (SD) CES-D scores for each group?
4. Interpret the Levene’s statistic. (Hint: Is the assumption of homogeneity of variance met? Are equal variances assumed or not assumed?)
5. What is the value of the t-statistic, number of degrees of freedom and the p-value?
6. Does the data support the hypothesis? Why or why not?
Part II
Hypothesis: Women who reported depression scores in wave 1 and wave 2 of the study did not have a significant difference in their level of depression.
Using Polit2SetC SPSS dataset, determine if the above hypothesis is true.
Follow these steps when using SPSS:
1. Open Polit2SetC dataset.
2. Click Analyze then click Compare Means, then Paired Samples T-test.
3. First click on CES-D Score (cesd) and move it into the box labelled Paired Variables (in the rectangle for Pair 1 of Variable 1 and then click on CESD Score, Wave 1 (cesdwav1) and move it into the Paired Variables box (in the rectangle next to CES-D Score, pair 1, variable 2).
4. Click continue and then click OK.
Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test.
1. What is the total sample size?
2. What are the mean (SD) CES-D scores at wave 1 and wave 2?
3. What is the mean difference between the two time periods?
4. What is the value of the t-statistic, number of degrees of freedom and the p-value(sig)?
5. Does the data support the hypothesis? Why or why not?
Part III
Using Polit2SetC dataset, run independent groups t-tests for three outcomes. The outcome variables are CES-D Score (cesd), SF12: Physical Health Component Score, standardized (sf12phys) and SF12: Mental Health Component Score, standardized (sf12ment).
Follow these steps when using SPSS:
1. Open Polit2SetC dataset.
2. Click Analyze then click Compare Means, then Independent Sample T-test.
3. Move the Dependent Variables (CES_D Score “cesd”, SF12: Physical Health Component Score, standardized (sf12phys), and SF12: Mental Health Component Score, standardized (sf12ment) ) in the area labelled Test Variable.
4. Move the Independent Variable (Educational Attainment “educatn”) into the area labelled Grouping Variable. The educatn variable is coded as (1= no high school credential and 2=diploma or GED). Click on Define Groups in group 1 box type 1 and in group 2 box type 2. Click Continue.
5. Click continue and then click OK.
Assignment: Create a table to present your results, use the table 6.3 in Chapter 6 as a model. Write one or two paragraphs explaining your results.
REFERENCES
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”
Chapter 5, “Statistical Inference”
Chapter 6, “t Tests: Testing Two Mean Difference
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Quantitative And Qualitative Article Critique
/in Uncategorized /by developerNeed a quantitative and qualitative article critique. Quantitative needed by March 9 and Qualitative needed by March 16. Articles and rubric will be provided.
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Quantitative Annotated Bibliography 19229865
/in Uncategorized /by developerQuantitative Annotated Bibliography
In this week’s discussion question you were asked to consider a potential problem (appropriate to your role option) (See attached paper named POTENTIAL PROBLEM) that you would like to investigate through nursing research. For this assignment you will review current research from South’s Online Library and provide a critical evaluation on that research through an annotated bibliography. An annotated bibliography is a brief summary and analysis of the journal article reviewed. For more information on annotated bibliographies please visit Purdue’s OWL: Purdue Online Writing Lab
A total of two annotated bibliographies are to be submitted (not to exceed one page each). The articles must come from nursing scholarly literature and may not be older than 5 years since publication. Please note that the articles must be research based and reflect a quantitative methodology (review our reading assignments). Web pages, magazines, textbooks, and other books are not acceptable.
Each annotation must address the following critical elements:
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Quantitative Annotated Bibliography 19233777
/in Uncategorized /by developerA total of two annotated bibliographies are to be submitted (not to exceed one page each). The articles must come from nursing scholarly literature and may not be older than 5 years since publication. Please note that the articles must be research based and reflect a quantitative methodology (review our reading assignments). Web pages, magazines, textbooks, and other books are not acceptable.
Each annotation must address the following critical elements:
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Quantitative Annotated Bibliography
/in Uncategorized /by developerIn this week’s discussion question you were asked to consider a potential problem (appropriate to your role option) that you would like to investigate through nursing research. For this assignment you will review current research from South’s Online Library and provide a critical evaluation on that research through an annotated bibliography. An annotated bibliography is a brief summary and analysis of the journal article reviewed. For more information on annotated bibliographies please visit Purdue’s OWL: Purdue Online Writing Lab
A total of two annotated bibliographies are to be submitted (not to exceed one page each). The articles must come from nursing scholarly literature and may not be older than 5 years since publication. Please note that the articles must be research based and reflect a quantitative methodology (review our reading assignments). Web pages, magazines, textbooks, and other books are not acceptable.
Each annotation must address the following critical elements:
Articles
1- Articles
1-
Graham, G. (2014). Population-based approaches to understanding disparities in cardiovascular disease risk in the United States. Int J Gen Med., 7(1), 393-400. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132228/
2-
Saab, K., Kendrick, J., Yracheta, J., & Lanaspa, M. (2015). New insights on the risk for cardiovascular disease in African Americans: The role of added sugars. Journal of the American Society of Nephrology, 26(2), 247-257. Retrieved from http://jasn.asnjournals.org/content/26/2/247.full
3-Sharma, A., Colvin-Adams, M., & Yancy, C. (2014). Heart failure in African Americans: Disparities can be overcome. Cleveland Clinical Journal of Medicine, 81(5), 301-311. Retrieved from http://www.abcardio.org/pdf/Yancy_Colvin.pdf
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Quantitative Article Essay
/in Uncategorized /by developerAnswering this PICO question “Are hand sanitizers more effective than Chlorhexidine disinfectants in the reduction of nosocomial infections in NICU patients?” I need the Appendix E form filled out and essay written pertaining to the article attached and following the Rubric attached. I need this done by 0900 central time.
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Quantitative Article
/in Uncategorized /by developerI would like everyone to find a quantitative article and email it to me by next Sunday, November 24th at midnight. You don’t need to do anything with the article, just identify it as a quantitative article. Please review the quantitative research chapters in your book and become familiar again with the types of quantitative studies (Chapters 8-18). Please try to find an experimental or quasi-experimental study.
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Quantitative Correlational Studys Research
/in Uncategorized /by developerAnswer the following questions and reply to at least two colleagues:
this study? Give a rationale for why you think the author(s) chose this design.
Post your initial response by 2359 Wednesday of Module 2 Posts must be substantive and reflect thought and effort in the discussion. Always remember to cite and reference your resources appropriately using APA format. You should be using in-text citations in your initial response. Use in-text citations as needed in your replies.
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Quantitative Essay
/in Uncategorized /by developerConduct a literature search and find 3 nursing articles about “evidence-based practices that impact nursing care.
1. article must be peer-reviewed,between years 2013 and 2018
2. create a title pag with running head page nukber name course name, name of college, professor, date (i will do that)
3. paper must be 4-5 pages long(not included in the title page and reference page)
4. must be in APA format
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Quantitative Methods Of Inquiry
/in Uncategorized /by developerWeek 5 assignment instructions
Tutor MUST have a good command of the English language
Tutor MUST have a good command of the English language
Sources need to be journal/scholarly articles.
Use only articles that are published between 2015-2018 (except for your theory articles which will be older as you must cite primary sources).
No textbook or direct quotes
My project is CLABSI prevention
This topic helps you develop a basic understanding of quantitative methods of inquiry. In this assignment, you will have the opportunity to use the SPSS program. SPSS makes it easy to analyze data using specific tests. This assignment will give you practice with means, medians, and modes.
General Requirements:
Use the following information to ensure successful completion of the assignment:
Directions:
After you have completed the assigned readings and viewed the assigned videos, write a 500-750 word paper that addresses quantitative methods of inquiry. Use the data provided in the Topic Material, “H Cup State Inpatient Databases (SID) File Composition – Number of Discharges by Year,” and appropriate statistics to address the following:
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Quantitative Methods T Tests And Anova
/in Uncategorized /by developerWeek 5 Independent t Test Exercises
To prepare:
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.
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.
Part I
The hypothesis being tested is: Women who are working will have a lower level of depression as compared to women who are not working.
Using Polit2SetC SPSS dataset, which contains a number of mental health variables, determine if the above hypothesis is true.
Follow these steps when using SPSS:
1. Open Polit2SetC dataset.
2. Click Analyze then click Compare Means, then Independent Sample T-test.
3. Move the Dependent Variable (CES_D Score “cesd”) in the area labelled Test Variable.
4. Move the Independent Variable (Currently Employed “worknow”) into the area labelled Grouping Variable. The worknow variable is coded as (0= those women who do not work and 1= those women who are working). Click on Define Groups in group 1 box type 0 and in group 2 box type 1. Click Continue.
5. Click continue and then click OK.
Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test.
1. How many women were employed versus not employed in the sample?
2. What is the total sample size?
3. What are the mean (SD) CES-D scores for each group?
4. Interpret the Levene’s statistic. (Hint: Is the assumption of homogeneity of variance met? Are equal variances assumed or not assumed?)
5. What is the value of the t-statistic, number of degrees of freedom and the p-value?
6. Does the data support the hypothesis? Why or why not?
Part II
Hypothesis: Women who reported depression scores in wave 1 and wave 2 of the study did not have a significant difference in their level of depression.
Using Polit2SetC SPSS dataset, determine if the above hypothesis is true.
Follow these steps when using SPSS:
1. Open Polit2SetC dataset.
2. Click Analyze then click Compare Means, then Paired Samples T-test.
3. First click on CES-D Score (cesd) and move it into the box labelled Paired Variables (in the rectangle for Pair 1 of Variable 1 and then click on CESD Score, Wave 1 (cesdwav1) and move it into the Paired Variables box (in the rectangle next to CES-D Score, pair 1, variable 2).
4. Click continue and then click OK.
Assignment: Through analysis of the data and use of the questions below write one to two paragraphs summarizing your findings from this t-test.
1. What is the total sample size?
2. What are the mean (SD) CES-D scores at wave 1 and wave 2?
3. What is the mean difference between the two time periods?
4. What is the value of the t-statistic, number of degrees of freedom and the p-value(sig)?
5. Does the data support the hypothesis? Why or why not?
Part III
Using Polit2SetC dataset, run independent groups t-tests for three outcomes. The outcome variables are CES-D Score (cesd), SF12: Physical Health Component Score, standardized (sf12phys) and SF12: Mental Health Component Score, standardized (sf12ment).
Follow these steps when using SPSS:
1. Open Polit2SetC dataset.
2. Click Analyze then click Compare Means, then Independent Sample T-test.
3. Move the Dependent Variables (CES_D Score “cesd”, SF12: Physical Health Component Score, standardized (sf12phys), and SF12: Mental Health Component Score, standardized (sf12ment) ) in the area labelled Test Variable.
4. Move the Independent Variable (Educational Attainment “educatn”) into the area labelled Grouping Variable. The educatn variable is coded as (1= no high school credential and 2=diploma or GED). Click on Define Groups in group 1 box type 1 and in group 2 box type 2. Click Continue.
5. Click continue and then click OK.
Assignment: Create a table to present your results, use the table 6.3 in Chapter 6 as a model. Write one or two paragraphs explaining your results.
REFERENCES
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”
Chapter 5, “Statistical Inference”
Chapter 6, “t Tests: Testing Two Mean Difference
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