2023 Week Six Correlations Exercises Correlations are used to describe the strength and direction of a relationship

2023 Nursing NURS WK 6 ASSGN

Week Six Correlations Exercises Correlations are used to describe the strength and direction of a relationship 2023

  

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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2023 An implementation plan prepares students to apply the research they have identified and vetted to the problem or issue they

2023 Nursing An implementation plan prepares students to apply the research they have identified and vetted to the problem or issue they…

An implementation plan prepares students to apply the research they have identified and vetted to the problem or issue they 2023

An implementation plan prepares students to apply the research they have identified and vetted to the problem or issue they have identified for their Capstone Change Proposal Project. A literature review enables students to map out and move into the active planning and development stages of the Project.

In this assignment students will develop a 750-1,000-word literature review in which to synthesize what is known and unknown about the Project issue selected. Students will use the information from the PICOT Statement and Evaluation Table assignments prior in the course to develop a planned approach to implementing the evidence-based practice solution. The underlying purpose of this assignment is to analyze how the current research supports the PICOT, and to identify what is known and what is not known in the evidence, providing a logical, constructive argument.

Include the following sections:

  1. Title page
  2. Introduction section
  3. A comparison of research questions
  4. A comparison of sample populations
  5. A comparison of the limitations of the study
  6. A conclusion section, incorporating recommendations for further research

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2023 Dear students Please introduce yourself to the class and tell us what you would like to share about

2023 Nursing Please answer with 250 words APA style

Dear students Please introduce yourself to the class and tell us what you would like to share about 2023

Dear students:   Please introduce yourself to the class and tell us what you would like to share about your family, your personal interests. Also, please tell us whatever else you would like to share with us at FNU!  Also, discuss a professional practice issue of  the nurse practitioner as a prescriber. Also for part of this discussion it is required a reply to one classmate.  Support answers with two cited peer reviewed journals. Please see Rubric in Course Syllabus.

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2023 Using Minitab This week you learned about the statistical software applications used to

2023 Nursing professor dan

Using Minitab This week you learned about the statistical software applications used to 2023

Using Minitab

This week, you learned about the statistical software applications used to analyze data for research analysis. For this week’s discussion, you will use Minitab to run descriptive statistics, create graphs and respond to the following:

  • How could you use Minitab descriptive statistics for data analysis research?
  • What are your plans for learning more about Minitab and how will the information you learned about this software be of benefit in your future analysis of research data?

Refer to this week’s readings and video tutorials before starting this two part discussion question assignment. You will also have access to the Assignment Resources Step-by-Step Guide, accessed through the Assignment Resources Icon located to the right of the grading criteria above.

Step 1: Entering Data

Open Minitab

You will now use Minitab to enter a sample dataset by following the steps below and referring to the examples in the Assignment Step-by-Step guide. Begin by opening Minitab. Once open, you will see two windows. The Session Window is in the top half of the screen and the Worksheet is below. Only one window is active at a time.

Dataset Options

In many cases, researchers may have the data from their study in another software package like Microsoft Excel. However, if the data is not available in a software spreadsheet you can manually enter the data. You may now choose to populate your Minitab worksheet using the provided Excel worksheet in Option 1 or try Manual Data Entry by following the instructions in Option 2.

Option 1: Using Excel to populate Minitab

To access the Excel worksheet populated with data, go to the Data Set Icon located to the right of the grading criteria above. You can copy and paste the data set directly from Excel into Minitab.

Or

Option 2: Manual Data Entry

In the Worksheet window, type “Age” in C1. Enter the numbers as shown in the dataset below. Enter the remaining data as shown below (set up your column labels i.e., variable). The measure reflects math anxiety and the study variables (cringe, uneasy, afraid, worried, understand) the math anxiety range is from 1–5 with low being the least and 5 the highest.

Age

Cringe

Uneasy

Afraid

Worried

Understand

28

5

3

4

4

3

34

2

5

3

2

1

25

4

4

4

2

  

56

3

4

3

1

2

23

5

4

3

3

4

29

1

5

3

2

3

30

3

3

5

2

5

59

2

5

5

1

2

45

4

2

5

3

3

38

1

2

4

1

1

33

3

2

4

3

2

47

4

2

3

4

5

24

1

5

3

4

4

29

5

4

2

1

3

53

3

1

5

2

1

48

4

4

1

5

3

27

2

5

4

3

4

34

4

4

3

2

5

26

4

5

2

3

2

36

5

5

5

4

3

Step 2: Run Descriptive Statistics

Now that your data is in Minitab, you will look at the descriptive statistics for this dataset. Select the Ribbon at the top titled “Statistics,” and then select “Descriptive Statistics”. Under the “Data tab” select a variable, under the “Statistics tab” check all the boxes, then click “OK”.

Discussion Question Part 1

How could you use Minitab descriptive statistics for data analysis research? Write about your experience running descriptive statistics. Use the results in the Session Window to support your response. Then add to your discussion with the information you learn when completing Step 3.

Step 3: Minitab and Graphs

You will now look at graphing. Select the Ribbon at the top titled “Graph,” then select “Histogram,” and then select “Simple.” Choose one of the variables and select “Ok”. You can create other Histogram graphs by choosing different variables. You can also choose from the other ten graph choices shown on the Graph ribbon. Remember you can use the left navigation column to access your work.

Discussion Question Part 2

What are your plans for learning more about Minitab and how will the information you learned about this software be of benefit in your future analysis of research data? Copy and paste your graph(s) in a Word document and attach to your discussion response.

 

  

             

 

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