NURS 820 WU Nurse Burnout Issue in Healthcare Delivery Papers

Week six Assignment # 1

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

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?

Discussion # 1 for Week 6

Review this week’s Learning Resources and focus on the types of research questions that can be answered using a correlational statistic.

Brainstorm a number of healthcare delivery or nursing practice problems that could be explored using correlational statistics. Then, select one problem on which to focus for this Discussion.

Formulate a research question to address the problem and that would lead you to employ correlational statistics.

Develop a null hypothesis and alternate hypotheses.

Ask yourself: What is the expected direction of the relationship?

Week 6 – Correlations SPSS Outputs
Descriptive Statistics
Mean
Number of doctor visits, past
Std. Deviation
N
6.80
12.720
997
Body Mass Index
29.2226
7.37893
970
SF12: Physical Health
45.11422
10.840059
893
46.82843
10.806477
893
12 mo
Component Score,
standardized
SF12: Mental Health
Component Score,
standardized
Correlations
Number of
Number of doctor visits, past Pearson Correlation
12 mo
Body Mass Index
SF12: Mental
Health
Health
Component
Component
doctor visits,
Body Mass
Score,
Score,
past 12 mo
Index
standardized
standardized
1
Sig. (2-tailed)
N
SF12: Physical
997
**
.131**
-.316**
-.133**
.000
.000
.000
967
890
890
1
**
-.134
-.078*
.000
.022
Pearson Correlation
.131
Sig. (2-tailed)
.000
N
967
970
866
866
**
**
1
.168**
SF12: Physical Health
Pearson Correlation
-.316
-.134
Component Score,
Sig. (2-tailed)
.000
.000
standardized
N
890
866
893
893
**
-.133
*
-.078
**
.168
1
.000
SF12: Mental Health
Pearson Correlation
Component Score,
Sig. (2-tailed)
.000
.022
.000
standardized
N
890
866
893
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
893
Scatterplot
Descriptive Statistics
Mean
Std. Deviation
N
Body Mass Index
29.2226
7.37893
970
Weight-pounds
171.4624
45.44083
971
Correlations
Body Mass
Index
Body Mass Index
Pearson Correlation
Weight-pounds
1
Sig. (2-tailed)
N
Weight-pounds
.000
970
970
**
1
Pearson Correlation
.937
Sig. (2-tailed)
.000
N
970
**. Correlation is significant at the 0.01 level (2-tailed).
.937**
971

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