NURS 8201 Week 6 Assignment: Correlations statistics
NURS 8201 Week 6 Assignment: Correlations statistics
NURS 8201 Week 6 Assignment: Correlations statistics in nursing
Is there a connection between caffeine and headaches? Is there an association between hospital wait times and patient care? Is there a relationship between antibiotic use and weight gain?
Correlation statistics all begin with a research question, and these research questions all seek to determine relationships between variables. The correlational analysis clarifies relationships, but there are many ways to formulate a correlation. Therefore, the strength of a correlation relies on the variables used and the interpretation of the results that may signify a statistically relevant association or relationship.
For this Assignment, you will examine how to interpret results obtained through a correlational analysis. You will evaluate the correlation results provided in the Week 6 Correlations Exercises SPSS output and will reflect on the meaning of the results for the variables examined.
To Prepare: NURS 8201 Week 6 nursing correlations statistics assignment
- Review the Week 6 Correlations Exercises SPSS Output provided in this week’s Learning Resources.
- Review the Learning Resources on how to interpret correlation results to determine the relationship between variables.
- Consider the results presented in the SPSS output and reflect on how you might interpret the results presented.
The Correlations statistics in nursing assignment: (2–3 pages)
Answer the following questions using the Week 6 Correlations Exercises SPSS Output provided in this week’s Learning Resources.
- What is the strongest correlation in the matrix? (Provide the correlation value and the names of variables)
- What is the weakest correlation in the matrix? (Provide the correlation value and the names of variables)
- How many original correlations are present on the matrix?
- What does the entry of 1.00 indicate on the diagonal of the matrix?
- Indicate the strength and direction of the relationship between body mass index (BMI) and physical health component subscale.
- Which variable is most strongly correlated with BMI? What is the correlational coefficient? What is the sample size for this relationship?
- What is the mean and standard deviation for BMI and doctor visits?
- What is the mean and standard deviation for weight and BMI?
- Describe the strength and direction of the relationship between weight and BMI.
- Describe the scatterplot. What information does it provide to a researcher?
Reminder: The College of Nursing requires that all papers submitted include a title page, introduction, summary, and references. The Sample Paper provided at the Walden Writing Center provides an example of those required elements (available at https://academicguides.waldenu.edu/writingcenter/templates/general#s-lg-box-20293632). All papers submitted must use this formatting.
Also Check Out: NURS 8201 Week 4 Assignment: Frequency and Descriptive Statistics
By Day 7
Submit your nursing correlations statistics assignment by Day 7 of Week 6.
Submission and Grading Information
To submit your completed correlations statistics in nursing assignment for review and grading, do the following:
- Please save your Assignment using the naming convention “WK6Assgn+last name+first initial.(extension)” as the name.
- Click the Week 6 Assignment Rubric to review the Grading Criteria for the Assignment.
- Click the Week 6 Assignment link. You will also be able to “View Rubric” for grading criteria from this area.
- Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK6Assgn+last name+first initial.(extension)” and click Open.
- If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.
- Click on the Submit button to complete your nursing correlations statistics submission.
Grading Criteria
Submit your Week 6 Assignment draft and review the originality report.
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Name: NURS_8201_Week6 Correlations statistics Assignment_Rubric
Excellent | Good | Fair | Poor | |||
Describe the strongest and weakest correlation in the matrix. Provide the correlation value and the names of variables. | 14 (14%) – 15 (15%)
The response accurately and clearly describes in detail the strongest and weakest correlation in the matrix. The response includes an accurate and clear correlation value and the names of variables for both the strongest and weakest correlation in the matrix. |
12 (12%) – 13 (13%)
The response accurately describes the strongest and weakest correlation in the matrix. The response includes an accurate correlation value and the names of variables for both the strongest and weakest correlation in the matrix. |
11 (11%) – 11 (11%)
The response inaccurately or vaguely describes the strongest and weakest correlation in the matrix. OR The response omits either the strongest or weakest correlation. The response includes inaccurate or vague correlation value and the names of variables for both the strongest and weakest correlation in the matrix. OR The response omits the correlation value and/or the names of variables for either the strongest or weakest correlation. |
0 (0%) – 10 (10%)
The response inaccurately and vaguely describes the strongest and weakest correlation in the matrix, or it is missing. The response includes an inaccurate and vague correlation value and the names of variables for both the strongest and weakest correlation in the matrix, or it is missing. |
||
Explain how many original correlations are present in the matrix. | 9 (9%) – 10 (10%)
The response accurately and clearly explains, in detail, how many original correlations are present in the matrix. |
8 (8%) – 8 (8%)
The response accurately explains how many original correlations are present in the matrix. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely explains how many original correlations are present in the matrix. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely explains how many original correlations are present in the matrix, or it is missing. |
||
Explain what the entry of 1.00 indicates on the diagonal of the matrix. | 9 (9%) – 10 (10%)
The response accurately and clearly explains in detail what the entry of 1.00 indicates on the diagonal of the matrix. |
8 (8%) – 8 (8%)
The response accurately explains what the entry of 1.00 indicates on the diagonal of the matrix. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely explains what the entry of 1.00 indicates on the diagonal of the matrix. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely explains what the entry of 1.00 indicates on the diagonal of the matrix, or it is missing. |
||
Indicate the strength and direction of the relationship between body mass index and physical component subscale. | 9 (9%) – 10 (10%)
The response accurately and clearly indicates, in detail, the strength and direction of the relationship between body mass index and physical component subscale. |
8 (8%) – 8 (8%)
The response accurately indicates the strength and direction of the relationship between body mass index and physical component subscale. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely indicates the strength and direction of the relationship between body mass index and physical component subscale. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely indicates the strength and direction of the relationship between body mass index and physical component subscale, or it is missing. |
||
Explain which variable is most strongly correlated with BMI. Explain the correlational coefficient and the sample size for this relationship. | 9 (9%) – 10 (10%)
The response accurately and clearly explains in detail which variable is most strongly corrected with BMI. The response accurately and clearly explains in detail the correlational coefficient and the sample size for this relationship. |
8 (8%) – 8 (8%)
The response accurately explains which variable is most strongly corrected with BMI. The response accurately explains the correlational coefficient and the sample size for this relationship. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely explains which variable is most strongly corrected with BMI. The response inaccurately or vaguely explains the correlational coefficient and the sample size for this relationship. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely explains which variable is most strongly corrected with BMI, or it is missing. The response inaccurately and vaguely explains the correlational coefficient and the sample size for this relationship, or it is missing. |
||
Explain the mean and standard deviation for BMI and doctor visits. | 9 (9%) – 10 (10%)
The response accurately and clearly explains in detail the mean and standard deviation for BMI and doctor visits. |
8 (8%) – 8 (8%)
The response accurately explains the mean and standard deviation for BMI and doctor visits. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely explains the mean and standard deviation for BMI and doctor visits. OR The response omits the mean or standard deviation for BMI and doctor visits. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely explains the mean and standard deviation for BMI and doctor visits, or it is missing. |
||
Explain the mean and standard deviation for weight and BMI. Describe the strength and direction of the relationship between weight and BMI. | 9 (9%) – 10 (10%)
The response accurately and clearly explains, in detail, the mean and standard deviation for weight and BMI. The response accurately and clearly explains, in detail, the strength and direction of the relationship between weight and BMI. |
8 (8%) – 8 (8%)
The response accurately explains the mean and standard deviation for weight and BMI. The response accurately explains the strength and direction of the relationship between weight and BMI. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely explains the mean and standard deviation for weight and BMI. OR The response omits weight or BMI. OR The response omits the mean or standard deviation. The response inaccurately or vaguely explains the strength and direction of the relationship between weight and BMI. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely explains the mean and standard deviation for weight and BMI, or it is missing. The response inaccurately and vaguely explains the strength and direction of the relationship between weight and BMI, or it is missing. |
||
Describe the scatterplot. Explain what information it provides to the researcher. | 9 (9%) – 10 (10%)
The response accurately and clearly describes the scatterplot in detail. The response accurately and clearly explains, in detail, what information the scatterplot provides to the researcher. |
8 (8%) – 8 (8%)
The response accurately describes the scatterplot. The response accurately explains what information the scatterplot provides to the researcher. |
7 (7%) – 7 (7%)
The response inaccurately or vaguely describes the scatterplot. The response inaccurately or vaguely explains what information the scatterplot provides to the researcher. |
0 (0%) – 6 (6%)
The response inaccurately and vaguely describes the scatterplot, or it is missing. The response inaccurately and vaguely explains what information the scatterplot provides to the researcher, or it is missing. |
||
Written Expression and Formatting – Paragraph Development and Organization: Paragraphs make clear points that support well-developed ideas, flow logically, and demonstrate continuity of ideas. Sentences are carefully focused—neither long and rambling nor short and lacking substance. A clear and comprehensive purpose statement and introduction is provided which delineates all required criteria. | 5 (5%) – 5 (5%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity. A clear and comprehensive purpose statement, introduction, and conclusion is provided which delineates all required criteria. |
4 (4%) – 4 (4%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity 80% of the time. Purpose, introduction, and conclusion of the assignment is stated, yet is brief and not descriptive. |
3.5 (3.5%) – 3.5 (3.5%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity 60%–79% of the time. Purpose, introduction, and conclusion of the assignment is vague or off topic. |
0 (0%) – 3 (3%)
Paragraphs and sentences follow writing standards for flow, continuity, and clarity < 60% of the time. No purpose statement, introduction, or conclusion was provided. |
||
Written Expression and Formatting – English writing standards: Correct grammar, mechanics, and proper punctuation | 5 (5%) – 5 (5%)
Uses correct grammar, spelling, and punctuation with no errors. |
4 (4%) – 4 (4%)
Contains a few (1 or 2) grammar, spelling, and punctuation errors. |
3.5 (3.5%) – 3.5 (3.5%)
Contains several (3 or 4) grammar, spelling, and punctuation errors. |
0 (0%) – 3 (3%)
Contains many (≥ 5) grammar, spelling, and punctuation errors that interfere with the reader’s understanding. |
||
Written Expression and Formatting – The paper follows correct APA format for title page, headings, font, spacing, margins, indentations, page numbers, parenthetical/in-text citations, and reference list. | 5 (5%) – 5 (5%)
Uses correct APA format with no errors. |
4 (4%) – 4 (4%)
Contains a few (1 or 2) APA format errors. |
3.5 (3.5%) – 3.5 (3.5%)
Contains several (3 or 4) APA format errors. |
0 (0%) – 3 (3%)
Contains many (≥ 5) APA format errors. |
||
Total Points: 100 | ||||||
Name: NURS_8201_Week6_Assignment_Rubric