Nurs Wk 6 Assgn 18707383

  

Week Six – Correlations Exercises

Correlations are used to describe the strength and direction of a relationship between two variables. A correlation between two variables is known as a bivariate correlation. In this module the Pearson Product-Moment Correlation will be used when running a correlation matrix. The Pearson correlation coefficient ranges from a value of -1.0 to 1.0. A correlation coefficient is never above 1.0 or below -1.0. A perfect positive correlation is 1.0 and a perfect negative correlation is -1.0. The size of the coefficient determines the strength of the relationship and the sign (i.e., + or -) determines the direction of the relationship. The closer the value is to zero the weaker the relationship and the closer the value is to 1.0 or -1.0 the stronger the relationship. A correlation coefficient of zero indicates no relationship between the variables.

A scatterplot is used to depict the relationship between two variables. The general shape of the collection of points indicates whether the correlation is positive or negative. A positive relationship will have the data points group into a cluster from the lower left hand corner to the upper right hand corner of the graph. A negative relationship will be depicted by points clustering in the lower right hand corner to the upper left hand corner of the graph. When the two variables are not related the points on the scatterplot will be scattered in a random fashion. 

Using Polit2SetB dataset, create a correlation matrix using the following variables: Number of visits to the doctor in the past 12 months (docvisit), body mass index (bmi), Physical Health component subscale (sf12phys) and Mental Health component subscale (sf12ment). Run means and descriptives for each variable as well as the correlation matrix. 

Follow these steps using SPSS:

1.Click Analyze, then correlate, then bivariate. 

2.Select each variable and move them into the box labeled “Variables.” 

3.Be sure the Pearson and two-tailed box is checked.

4.Click on the options tab (upper right corner) and check “means and standard deviations.” The exclude cases pairwise should also be checked. Click continue.

5.Click OK

To run descriptives for docvisit, bmi, sf12phys and sf12ment do the following in SPSS: 

1.Click Analyze then click Descriptives Statistics, then Descriptives.

2.Click the first continuous variable you wish to obtain descriptives for (docvisit) and then click on the arrow button and move it into the Variables box. Then click bmi and then click on the arrow button and move it into the Variables box. Then click sf12phys and then click on the arrow button and move it into the Variables box. Then click sf12ment and then click on the arrow button and move it into the Variables box.

3.Click the Options button in the upper right corner. Click mean and standard deviation.

4.Click continue and then click OK. 

Assignment: Answer the following questions about the correlation matrix.

1.What is the strongest correlation in the matrix? (Provide correlation value and names of variables)

2.What is the weakest correlation in the matrix? (Provide correlation value and names of variables)

3.How many original correlations are present on the matrix?

4.What does the entry of 1.00 indicate on the diagonal of the matrix?

5.Indicate the strength and direction of the relationship between body mass index and physical health component subscale? 

6.Which variable is most strongly correlated with body mass index? What is the correlational coefficient? What is the sample size for this relationship? 

7.What is the mean and standard deviation for bmi and doctor visits?

Part II

Using Polit2SetB dataset, create a scatterplot using the following variables: x-axis = body mass index (bmi) and the y-axis = weight-pounds (weight).

Follow these steps in SPSS:

1.Click Graphs, then click on Legacy Dialogs, then click “Scatter/Dot”. 

2.Click “Simple Scatter” and then click “Define.” 

3.Click on weight-pounds and move it to the Y-axis box and then click on body mass index and move it to the x-axis box. 

4.Click OK.

To run descriptives for bmi and weight do the following in SPSS:

5.Click Analyze then click Descriptives Statistics, then Descriptives.

6.Click the first continuous variable you wish to obtain descriptives for (body mass index) and then click on the arrow button and move it into the Variables box. Then click weight-pounds and then click on the arrow button and move it into the Variables box.

7.Click the Options button in the upper right corner. Click mean and standard deviation.

8.Click continue and then click OK. 

Assignment:

1.What is the mean and standard deviation for weight and bmi?

2.Describe the strength and direction of the relationship between weight and bmi?

3.Describe the scatterplot? What information does it provide to a researcher?

References 3 references required

  

Required Media

Walden University. (n.d.). Correlations. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_correlations.html

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 23, “Using Statistics to Examine Relationships”

Statistics and Data Analysis for Nursing Research

Chapter 4, “Bivariate Description: Crosstabulation, Risk Indexes, and Correlation” (pp. 59–61 and 68–78)

Chapter 9, “Correlation and Simple Regression” (pp. 197–209)

 
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Nurse 1 19253159

 As the environment in which we operate continues to change, how often should an organization update their mission and vision statements? Has any of your organizations gone through this process lately, if so, can you share the experience?  

 
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Nurs Wk 6 Assgn 18707379

  

Week Six – Correlations Exercises

Correlations are used to describe the strength and direction of a relationship between two variables. A correlation between two variables is known as a bivariate correlation. In this module the Pearson Product-Moment Correlation will be used when running a correlation matrix. The Pearson correlation coefficient ranges from a value of -1.0 to 1.0. A correlation coefficient is never above 1.0 or below -1.0. A perfect positive correlation is 1.0 and a perfect negative correlation is -1.0. The size of the coefficient determines the strength of the relationship and the sign (i.e., + or -) determines the direction of the relationship. The closer the value is to zero the weaker the relationship and the closer the value is to 1.0 or -1.0 the stronger the relationship. A correlation coefficient of zero indicates no relationship between the variables.

A scatterplot is used to depict the relationship between two variables. The general shape of the collection of points indicates whether the correlation is positive or negative. A positive relationship will have the data points group into a cluster from the lower left hand corner to the upper right hand corner of the graph. A negative relationship will be depicted by points clustering in the lower right hand corner to the upper left hand corner of the graph. When the two variables are not related the points on the scatterplot will be scattered in a random fashion. 

Using Polit2SetB dataset, create a correlation matrix using the following variables: Number of visits to the doctor in the past 12 months (docvisit), body mass index (bmi), Physical Health component subscale (sf12phys) and Mental Health component subscale (sf12ment). Run means and descriptives for each variable as well as the correlation matrix. 

Follow these steps using SPSS:

1.Click Analyze, then correlate, then bivariate. 

2.Select each variable and move them into the box labeled “Variables.” 

3.Be sure the Pearson and two-tailed box is checked.

4.Click on the options tab (upper right corner) and check “means and standard deviations.” The exclude cases pairwise should also be checked. Click continue.

5.Click OK

To run descriptives for docvisit, bmi, sf12phys and sf12ment do the following in SPSS: 

1.Click Analyze then click Descriptives Statistics, then Descriptives.

2.Click the first continuous variable you wish to obtain descriptives for (docvisit) and then click on the arrow button and move it into the Variables box. Then click bmi and then click on the arrow button and move it into the Variables box. Then click sf12phys and then click on the arrow button and move it into the Variables box. Then click sf12ment and then click on the arrow button and move it into the Variables box.

3.Click the Options button in the upper right corner. Click mean and standard deviation.

4.Click continue and then click OK. 

Assignment: Answer the following questions about the correlation matrix.

1.What is the strongest correlation in the matrix? (Provide correlation value and names of variables)

2.What is the weakest correlation in the matrix? (Provide correlation value and names of variables)

3.How many original correlations are present on the matrix?

4.What does the entry of 1.00 indicate on the diagonal of the matrix?

5.Indicate the strength and direction of the relationship between body mass index and physical health component subscale? 

6.Which variable is most strongly correlated with body mass index? What is the correlational coefficient? What is the sample size for this relationship? 

7.What is the mean and standard deviation for bmi and doctor visits?

Part II

Using Polit2SetB dataset, create a scatterplot using the following variables: x-axis = body mass index (bmi) and the y-axis = weight-pounds (weight).

Follow these steps in SPSS:

1.Click Graphs, then click on Legacy Dialogs, then click “Scatter/Dot”. 

2.Click “Simple Scatter” and then click “Define.” 

3.Click on weight-pounds and move it to the Y-axis box and then click on body mass index and move it to the x-axis box. 

4.Click OK.

To run descriptives for bmi and weight do the following in SPSS:

5.Click Analyze then click Descriptives Statistics, then Descriptives.

6.Click the first continuous variable you wish to obtain descriptives for (body mass index) and then click on the arrow button and move it into the Variables box. Then click weight-pounds and then click on the arrow button and move it into the Variables box.

7.Click the Options button in the upper right corner. Click mean and standard deviation.

8.Click continue and then click OK. 

Assignment:

1.What is the mean and standard deviation for weight and bmi?

2.Describe the strength and direction of the relationship between weight and bmi?

3.Describe the scatterplot? What information does it provide to a researcher?

References 3 references required

  

Required Media

Walden University. (n.d.). Correlations. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_correlations.html

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 23, “Using Statistics to Examine Relationships”

Statistics and Data Analysis for Nursing Research

Chapter 4, “Bivariate Description: Crosstabulation, Risk Indexes, and Correlation” (pp. 59–61 and 68–78)

Chapter 9, “Correlation and Simple Regression” (pp. 197–209)

 
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Nurs6600 Journal 2

 

Journal Entry 2

This week, you complete and submit your second journal entry. Your journal draws from evidence, concepts, and/or theories you have examined in this program, especially those related to your specialization. What have you observed during your Practicum Experience that you would like to analyze through your journal writing?

To prepare:
  • Reflect on your Practicum Experiences in Weeks 4-7.
  • Think about the evidence, concepts, and/or theories (evidence) learned throughout this program and your specialization.
  • Analyze a problem, issue, or situation that you have observed during your Practicum Experience.
  • Using a minimum of three peer-reviewed sources of evidence, consider what you have observed within the context of your specialty using appropriate concepts, principles, and theories. Give special attention to observed events that vary from the scholarly literature.
  • Determine how the problem, situation, or issue was handled in a manner that is consistent and a manner that is inconsistent with the theory, concepts, and principles detailed in the evidence.
  • Given the various evidence-based approaches that can be used in handling the observed problem, situation, or issue, think about a plan for approaching the matter differently.

To complete the Practicum and Journal Entry 2:

In your saved version of the NURS 6600 Practicum Journal document, do the following:

  • Write a 250- to 300-word journal entry (identified as Journal Entry 2) in which you do the following:
    • Describe a problem, issue, or situation that you have observed during your Practicum Experience (no more than a half page).
    • Using no fewer than three peer-reviewed sources of evidence, analyze what you have observed within the context of your specialty using appropriate concepts, principles, and theories. Give special attention to observed events that vary from scholarly literature.
    • Explain how the problem, situation, or issue was handled in a manner that is consistent and a manner that is inconsistent with the theory, concepts, and principles detailed in the evidence.
    • Given the various evidence-based approaches that can be used in handling the problem, situation, or issue, formulate a plan for approaching the matter differently.
    • Include references immediately following the content.
    • Use APA style for your journal entry and references.

 

Required Readings

Note: To access this week’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus

Matthews, J. H. (2012). Role of professional organizations in advocating for the nursing profession. Online Journal of Issues in Nursing, 17(1), 1.
Note: Retrieved from the Walden Library databases.

The author addresses the importance of involvement in professional organizations for nursing professionals.

Shekleton, M. E., Preston, J. C., & Good, L. E. (2010). Growing leaders in a professional membership organization. Journal of Nursing Management, 18(6), 662–668.
Note: Retrieved from the Walden Library databases.

“In order to grow leaders an organization must make a commitment to develop and maintain an infrastructure that supports leadership development activities” (Shekleton, Preston, & Good, 2010, p. 667). The authors discuss findings from a leadership development program.

American Association of Critical Care Nurses. (n.d.). Certification for nurse managers and leaders. Retrieved May 20, 2013, from http://www.aacn.org/wd/certifications/content/cnmlhome.pcms?menu=certification

The American Association of Critical Care Nurses Certification Corporation, in collaboration with the AONE credentialing center, offers certification for the nurse leader-manager.

American Medical Informatics Association. (2011). Clinical informatics becomes a board-certified medical subspecialty following ABMS vote. Retrieved from http://www.amia.org/news-and-publications/press-release/ci-is-subspecialty

This article addresses the movement to recognize clinical informatics as a subspecialty.

American Nurses Association. (2013). Leadership. Retrieved from http://www.nursingworld.org/MainMenuCategories/ThePracticeofProfessionalNursing/Leadership

The ANA offers a leadership institute for professional development.

American Nurses Credentialing Center. (2013). ANCC certification center. Retrieved from http://www.nursecredentialing.org/certification.aspx

The ANCC is the largest and most prestigious credentialing organization. View the certifications available by specialty area.

American Organization of Nurse Executives. (2012). AONE credentialing center. Retrieved from http://www.aone.org/resources/certification/about_certifications.shtml

The AONE credentialing center, in collaboration with American Association of Critical Care Nurses Certification Corporation, offers certification for the nurse leader-manager.

Healthcare Information and Management Systems. (2013). Health IT certifications. Retrieved from http://www.himss.org/health-it-certification?navItemNumber=13588

The Office of the National Coordinator for Health Information Technology has specified certification criteria for electronic health records.

NMA. (2012). Welcome to NMA! Retrieved from http://www.nma1.org/

This organization promotes the development of leadership competencies and interpersonal skills.

Project Management Institute. (2013). What are PMI certifications? Retrieved from http://www.pmi.org/Certification/What-are-PMI-Certifications.aspx

PMI recognizes that many professionals of varying skill and education levels are or will be involved with projects. The organization offers certification for professionals involved in project management.

 
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Nurs Wk 6 Assgn 18707375

  

Week Six – Correlations Exercises

Correlations are used to describe the strength and direction of a relationship between two variables. A correlation between two variables is known as a bivariate correlation. In this module the Pearson Product-Moment Correlation will be used when running a correlation matrix. The Pearson correlation coefficient ranges from a value of -1.0 to 1.0. A correlation coefficient is never above 1.0 or below -1.0. A perfect positive correlation is 1.0 and a perfect negative correlation is -1.0. The size of the coefficient determines the strength of the relationship and the sign (i.e., + or -) determines the direction of the relationship. The closer the value is to zero the weaker the relationship and the closer the value is to 1.0 or -1.0 the stronger the relationship. A correlation coefficient of zero indicates no relationship between the variables.

A scatterplot is used to depict the relationship between two variables. The general shape of the collection of points indicates whether the correlation is positive or negative. A positive relationship will have the data points group into a cluster from the lower left hand corner to the upper right hand corner of the graph. A negative relationship will be depicted by points clustering in the lower right hand corner to the upper left hand corner of the graph. When the two variables are not related the points on the scatterplot will be scattered in a random fashion. 

Using Polit2SetB dataset, create a correlation matrix using the following variables: Number of visits to the doctor in the past 12 months (docvisit), body mass index (bmi), Physical Health component subscale (sf12phys) and Mental Health component subscale (sf12ment). Run means and descriptives for each variable as well as the correlation matrix. 

Follow these steps using SPSS:

1.Click Analyze, then correlate, then bivariate. 

2.Select each variable and move them into the box labeled “Variables.” 

3.Be sure the Pearson and two-tailed box is checked.

4.Click on the options tab (upper right corner) and check “means and standard deviations.” The exclude cases pairwise should also be checked. Click continue.

5.Click OK

To run descriptives for docvisit, bmi, sf12phys and sf12ment do the following in SPSS: 

1.Click Analyze then click Descriptives Statistics, then Descriptives.

2.Click the first continuous variable you wish to obtain descriptives for (docvisit) and then click on the arrow button and move it into the Variables box. Then click bmi and then click on the arrow button and move it into the Variables box. Then click sf12phys and then click on the arrow button and move it into the Variables box. Then click sf12ment and then click on the arrow button and move it into the Variables box.

3.Click the Options button in the upper right corner. Click mean and standard deviation.

4.Click continue and then click OK. 

Assignment: Answer the following questions about the correlation matrix.

1.What is the strongest correlation in the matrix? (Provide correlation value and names of variables)

2.What is the weakest correlation in the matrix? (Provide correlation value and names of variables)

3.How many original correlations are present on the matrix?

4.What does the entry of 1.00 indicate on the diagonal of the matrix?

5.Indicate the strength and direction of the relationship between body mass index and physical health component subscale? 

6.Which variable is most strongly correlated with body mass index? What is the correlational coefficient? What is the sample size for this relationship? 

7.What is the mean and standard deviation for bmi and doctor visits?

Part II

Using Polit2SetB dataset, create a scatterplot using the following variables: x-axis = body mass index (bmi) and the y-axis = weight-pounds (weight).

Follow these steps in SPSS:

1.Click Graphs, then click on Legacy Dialogs, then click “Scatter/Dot”. 

2.Click “Simple Scatter” and then click “Define.” 

3.Click on weight-pounds and move it to the Y-axis box and then click on body mass index and move it to the x-axis box. 

4.Click OK.

To run descriptives for bmi and weight do the following in SPSS:

5.Click Analyze then click Descriptives Statistics, then Descriptives.

6.Click the first continuous variable you wish to obtain descriptives for (body mass index) and then click on the arrow button and move it into the Variables box. Then click weight-pounds and then click on the arrow button and move it into the Variables box.

7.Click the Options button in the upper right corner. Click mean and standard deviation.

8.Click continue and then click OK. 

Assignment:

1.What is the mean and standard deviation for weight and bmi?

2.Describe the strength and direction of the relationship between weight and bmi?

3.Describe the scatterplot? What information does it provide to a researcher?

References 3 references required

  

Required Media

Walden University. (n.d.). Correlations. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_correlations.html

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 23, “Using Statistics to Examine Relationships”

Statistics and Data Analysis for Nursing Research

Chapter 4, “Bivariate Description: Crosstabulation, Risk Indexes, and Correlation” (pp. 59–61 and 68–78)

Chapter 9, “Correlation and Simple Regression” (pp. 197–209)

 
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Nurs6521 Week 6 Quiz Latest 2018

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