Assigment .apa seven . all instructions attached.

WEEK4ASSIGNMENT.docx

WEEK 4 ASSIGNMENT: FREQUENCY AND DESCRIPTIVE STATISTICS

A close-up of a pie chart Description automatically generated

Imagine that you have collected data from 100 patients. You have carefully compiled vitals, pain scores, and medications for each of the patients. However, what does all of this data mean? Is your work now done?

How do we make data meaningful? Why must we move beyond the raw data to ensure that data is purposeful? Descriptive analysis is the analysis of the data to develop meaning. Descriptive analysis provides meaning through showing, describing, and summarizing the data compiled to “reveal characteristics of the sample and to describe study variables” (Gray & Grove, 2020). This allows the researcher to present data in a more meaningful and simplified way.

For this Assignment, summarize your interpretation of the descriptive statistics provided to you in the Week 4 Descriptive Statistics SPSS Output document. You will evaluate each variable in your analysis.

Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

RESOURCES

Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources.

WEEKLY RESOURCES

TO PREPARE:

· Review the Week 4 Descriptive Statistics SPSS Output provided in this week’s Learning Resources.

· Review the Learning Resources on how to interpret descriptive statistics, including how to interpret research outcomes.

· Consider the results presented in the SPSS output and reflect on how you might interpret the frequency distributions and the descriptive statistics presented.

THE ASSIGNMENT: (2–3 PAGES)

· Summarize your interpretation of the frequency data provided in the output for respondent’s age, highest school grade completed, and family income from prior month.

· Note: A frequency analysis is way of summarizing data by depicting the number of times a data value occurs in the data table or output. It is used to analyze the data set including where the data are concentrated or clustered, the range of values, observation of extreme values, and to determine intervals for analysis that could make sense in categorizing your variable values.

· Summarize your interpretation of the descriptive statistics provided in the output for respondent’s age, highest school grade completed, race and ethnicity, currently employed, and family income from prior month.

· Note: The descriptive analysis includes N (size of your sample), the mean, the median, the standard deviation, the size and spread of your data to determine the variability/variance in your data.

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-20293632Links to an external site. ). All papers submitted must use this formatting.

WEEK 4: LEARNING RESOURCES

Required Readings

· Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

·

· Chapter 21, “Introduction to Statistical Analysis” (pp. 635–651)

· Chapter 22, “Using Statistics to Describe Variables” (pp. 652–662)

· Chapter 26, “Interpreting Research Outcomes” (pp. 699–716)

· Gholami, S., Mojen, L. K., Rassouli, M., Pahlavanzade, B., & Farahani, A. S. (2020). The predictors of postoperative pain among children based on the theory of unpleasant symptoms: A descriptive-correlational studyLinks to an external site. . Journal of Pediatric Nursing, 55, 141–146. doi:10.1016/j.pedn.2020.08.006

· Huang, J., Qi, H., Lv, K., Chen, X., Zhuang, Y., & Yang, L. (2020). Emergence delirium in elderly patients as a potential predictor of subsequent postoperative delirium: A descriptive correlational studyLinks to an external site. . Journal of PeriAnesthesia Nursing, 35(5), 478–483. doi:10.1016/j.jopan.2019.11.009

· Document: Week 4 Descriptive Statistics SPSS Output Download Week 4 Descriptive Statistics SPSS Output (PDF)

· Document: CITI Program Learner Registration Guide Download CITI Program Learner Registration Guide (PDF)

image1.jpeg

Week_4_Descriptives_SPSSoutput.pdf

Week 4 Descriptive Statistics Exercises SPSS Output

Part I

Respondent’s Age

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Skewness

Statistic Statistic Statistic Statistic Statistic Statistic Std. Error

Respondent's age at time of

interview

1000 19.378 49.430 36.63733 6.198741 -.374 .077

Valid N (listwise) 1000

Highest School Grade Completed

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Skewness

Statistic Statistic Statistic Statistic Statistic Statistic Std. Error

Highest school grade

completed

989 1 16 11.28 1.561 -.727 .078

Valid N (listwise) 989

Race and Ethnicity

Race/ethnicity

Frequency Percent Valid Percent

Cumulative

Percent

Valid Black, not Hispanic 803 80.3 80.5 80.5

Hispanic 128 12.8 12.8 93.3

White, not Hispanic 53 5.3 5.3 98.6

Other 14 1.4 1.4 100.0

Total 998 99.8 100.0

Missing Refused 1 .1

DK 1 .1

Total 2 .2

Total 1000 100.0

Currently Employed

Currently employed?

Frequency Percent Valid Percent

Cumulative

Percent

Valid No 546 54.6 54.7 54.7

Yes 452 45.2 45.3 100.0

Total 998 99.8 100.0

Missing System 2 .2

Total 1000 100.0

Part II

Part III Family Income

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Skewness

Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Std. Error

Family income prior month,

all sources

895 $0 $6,593 $1,172.59 $26.345 $788.153 2.030 .082

Valid N (listwise) 895

USW1_NURS_8201_CITI_Program_Registration_Guide.pdf

NURS 8201 CITI Program Registration Guide - Setting up a CITI Program Account

and Enrolling in the Correct Learner Group

Step 1A: Selecting Your Organization Affiliation

Walden University Enter “Walden University” here.

Step 1B: Agreeing to the Terms of Service and Privacy Policy

 Review the CITI Program’s Terms of Service and Privacy Policy

Click inside this box to agree.

Step 1C: Affirm Your Affiliation with Walden University

Click inside this box to affirm your affiliation with Walden University.

Step 2: Submit Your Personal Information (First & Last Name, Email Address)

Step 3: Create Your User Name, Password, and Security Question

Step 4: Input your Country of Residence

Step 5: Determine Your Need for CEU Credit and Contact Restrictions

 CEU Credit is not required for this course.

Step 6: Enter Required Information for Walden University

 Remember, only the fields with red asterisks (*) are required

 For the “Role in Research” field, please enter “Student Researcher – Graduate Level” from the

drop down list.

Select: Student Researcher – Graduate Level

Step 7: Select Curriculum

 For Question 1, Human Subjects Research, select “Student Researcher” from the list.

Select Student Researcher

Step 8: Welcome to the CITI Program and Finalize Registration

Click this button to finalize your registration

Step 9: Registration Confirmation and View CITI Program Courses

Click this button to view your

CITI Program courses

Step 10: Beginning the Basic Course

Click this button to view the

Modules included in the

Basic Course

Step 11: Completing the Assurance Statement

 You must complete the Assurance Statement only one time.

Read the Terms of Service carefully, then

click the “I Agree” box to accept the terms.

Click this button to view the Modules /Course

Step 12: CITI Program Required Modules

 As a Walden University graduate student, you should have five modules that you need to

complete.

Step 13: CITI Program Elective Modules

 As a Walden University graduate student, you will need to select two additional modules from

the list of Elective Modules to complete.

WEEK4ASSIGNMENT.docx

WEEK 4 ASSIGNMENT: FREQUENCY AND DESCRIPTIVE STATISTICS

A close-up of a pie chart Description automatically generated

Imagine that you have collected data from 100 patients. You have carefully compiled vitals, pain scores, and medications for each of the patients. However, what does all of this data mean? Is your work now done?

How do we make data meaningful? Why must we move beyond the raw data to ensure that data is purposeful? Descriptive analysis is the analysis of the data to develop meaning. Descriptive analysis provides meaning through showing, describing, and summarizing the data compiled to “reveal characteristics of the sample and to describe study variables” (Gray & Grove, 2020). This allows the researcher to present data in a more meaningful and simplified way.

For this Assignment, summarize your interpretation of the descriptive statistics provided to you in the Week 4 Descriptive Statistics SPSS Output document. You will evaluate each variable in your analysis.

Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

RESOURCES

Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources.

WEEKLY RESOURCES

TO PREPARE:

· Review the Week 4 Descriptive Statistics SPSS Output provided in this week’s Learning Resources.

· Review the Learning Resources on how to interpret descriptive statistics, including how to interpret research outcomes.

· Consider the results presented in the SPSS output and reflect on how you might interpret the frequency distributions and the descriptive statistics presented.

THE ASSIGNMENT: (2–3 PAGES)

· Summarize your interpretation of the frequency data provided in the output for respondent’s age, highest school grade completed, and family income from prior month.

· Note: A frequency analysis is way of summarizing data by depicting the number of times a data value occurs in the data table or output. It is used to analyze the data set including where the data are concentrated or clustered, the range of values, observation of extreme values, and to determine intervals for analysis that could make sense in categorizing your variable values.

· Summarize your interpretation of the descriptive statistics provided in the output for respondent’s age, highest school grade completed, race and ethnicity, currently employed, and family income from prior month.

· Note: The descriptive analysis includes N (size of your sample), the mean, the median, the standard deviation, the size and spread of your data to determine the variability/variance in your data.

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-20293632Links to an external site. ). All papers submitted must use this formatting.

WEEK 4: LEARNING RESOURCES

Required Readings

· Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

·

· Chapter 21, “Introduction to Statistical Analysis” (pp. 635–651)

· Chapter 22, “Using Statistics to Describe Variables” (pp. 652–662)

· Chapter 26, “Interpreting Research Outcomes” (pp. 699–716)

· Gholami, S., Mojen, L. K., Rassouli, M., Pahlavanzade, B., & Farahani, A. S. (2020). The predictors of postoperative pain among children based on the theory of unpleasant symptoms: A descriptive-correlational studyLinks to an external site. . Journal of Pediatric Nursing, 55, 141–146. doi:10.1016/j.pedn.2020.08.006

· Huang, J., Qi, H., Lv, K., Chen, X., Zhuang, Y., & Yang, L. (2020). Emergence delirium in elderly patients as a potential predictor of subsequent postoperative delirium: A descriptive correlational studyLinks to an external site. . Journal of PeriAnesthesia Nursing, 35(5), 478–483. doi:10.1016/j.jopan.2019.11.009

· Document: Week 4 Descriptive Statistics SPSS Output Download Week 4 Descriptive Statistics SPSS Output (PDF)

· Document: CITI Program Learner Registration Guide Download CITI Program Learner Registration Guide (PDF)

image1.jpeg

Week_4_Descriptives_SPSSoutput.pdf

Week 4 Descriptive Statistics Exercises SPSS Output

Part I

Respondent’s Age

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Skewness

Statistic Statistic Statistic Statistic Statistic Statistic Std. Error

Respondent's age at time of

interview

1000 19.378 49.430 36.63733 6.198741 -.374 .077

Valid N (listwise) 1000

Highest School Grade Completed

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Skewness

Statistic Statistic Statistic Statistic Statistic Statistic Std. Error

Highest school grade

completed

989 1 16 11.28 1.561 -.727 .078

Valid N (listwise) 989

Race and Ethnicity

Race/ethnicity

Frequency Percent Valid Percent

Cumulative

Percent

Valid Black, not Hispanic 803 80.3 80.5 80.5

Hispanic 128 12.8 12.8 93.3

White, not Hispanic 53 5.3 5.3 98.6

Other 14 1.4 1.4 100.0

Total 998 99.8 100.0

Missing Refused 1 .1

DK 1 .1

Total 2 .2

Total 1000 100.0

Currently Employed

Currently employed?

Frequency Percent Valid Percent

Cumulative

Percent

Valid No 546 54.6 54.7 54.7

Yes 452 45.2 45.3 100.0

Total 998 99.8 100.0

Missing System 2 .2

Total 1000 100.0

Part II

Part III Family Income

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation Skewness

Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Std. Error

Family income prior month,

all sources

895 $0 $6,593 $1,172.59 $26.345 $788.153 2.030 .082

Valid N (listwise) 895

USW1_NURS_8201_CITI_Program_Registration_Guide.pdf

NURS 8201 CITI Program Registration Guide - Setting up a CITI Program Account

and Enrolling in the Correct Learner Group

Step 1A: Selecting Your Organization Affiliation

Walden University Enter “Walden University” here.

Step 1B: Agreeing to the Terms of Service and Privacy Policy

 Review the CITI Program’s Terms of Service and Privacy Policy

Click inside this box to agree.

Step 1C: Affirm Your Affiliation with Walden University

Click inside this box to affirm your affiliation with Walden University.

Step 2: Submit Your Personal Information (First & Last Name, Email Address)

Step 3: Create Your User Name, Password, and Security Question

Step 4: Input your Country of Residence

Step 5: Determine Your Need for CEU Credit and Contact Restrictions

 CEU Credit is not required for this course.

Step 6: Enter Required Information for Walden University

 Remember, only the fields with red asterisks (*) are required

 For the “Role in Research” field, please enter “Student Researcher – Graduate Level” from the

drop down list.

Select: Student Researcher – Graduate Level

Step 7: Select Curriculum

 For Question 1, Human Subjects Research, select “Student Researcher” from the list.

Select Student Researcher

Step 8: Welcome to the CITI Program and Finalize Registration

Click this button to finalize your registration

Step 9: Registration Confirmation and View CITI Program Courses

Click this button to view your

CITI Program courses

Step 10: Beginning the Basic Course

Click this button to view the

Modules included in the

Basic Course

Step 11: Completing the Assurance Statement

 You must complete the Assurance Statement only one time.

Read the Terms of Service carefully, then

click the “I Agree” box to accept the terms.

Click this button to view the Modules /Course

Step 12: CITI Program Required Modules

 As a Walden University graduate student, you should have five modules that you need to

complete.

Step 13: CITI Program Elective Modules

 As a Walden University graduate student, you will need to select two additional modules from

the list of Elective Modules to complete.

WEEK4ASSIGNMENT.docx

WEEK 4 ASSIGNMENT: FREQUENCY AND DESCRIPTIVE STATISTICS

A close-up of a pie chart Description automatically generated

Imagine that you have collected data from 100 patients. You have carefully compiled vitals, pain scores, and medications for each of the patients. However, what does all of this data mean? Is your work now done?

How do we make data meaningful? Why must we move beyond the raw data to ensure that data is purposeful? Descriptive analysis is the analysis of the data to develop meaning. Descriptive analysis provides meaning through showing, describing, and summarizing the data compiled to “reveal characteristics of the sample and to describe study variables” (Gray & Grove, 2020). This allows the researcher to present data in a more meaningful and simplified way.

For this Assignment, summarize your interpretation of the descriptive statistics provided to you in the Week 4 Descriptive Statistics SPSS Output document. You will evaluate each variable in your analysis.

Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

RESOURCES

Be sure to review the Learning Resources before completing this activity. Click the weekly resources link to access the resources.

WEEKLY RESOURCES

TO PREPARE:

· Review the Week 4 Descriptive Statistics SPSS Output provided in this week’s Learning Resources.

· Review the Learning Resources on how to interpret descriptive statistics, including how to interpret research outcomes.

· Consider the results presented in the SPSS output and reflect on how you might interpret the frequency distributions and the descriptive statistics presented.

THE ASSIGNMENT: (2–3 PAGES)

· Summarize your interpretation of the frequency data provided in the output for respondent’s age, highest school grade completed, and family income from prior month.

· Note: A frequency analysis is way of summarizing data by depicting the number of times a data value occurs in the data table or output. It is used to analyze the data set including where the data are concentrated or clustered, the range of values, observation of extreme values, and to determine intervals for analysis that could make sense in categorizing your variable values.

· Summarize your interpretation of the descriptive statistics provided in the output for respondent’s age, highest school grade completed, race and ethnicity, currently employed, and family income from prior month.

· Note: The descriptive analysis includes N (size of your sample), the mean, the median, the standard deviation, the size and spread of your data to determine the variability/variance in your data.

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-20293632Links to an external site. ). All papers submitted must use this formatting.

WEEK 4: LEARNING RESOURCES

Required Readings

· Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

·

· Chapter 21, “Introduction to Statistical Analysis” (pp. 635–651)

· Chapter 22, “Using Statistics to Describe Variables” (pp. 652–662)

· Chapter 26, “Interpreting Research Outcomes” (pp. 699–716)

· Gholami, S., Mojen, L. K., Rassouli, M., Pahlavanzade, B., & Farahani, A. S. (2020). The predictors of postoperative pain among children based on the theory of unpleasant symptoms: A descriptive-correlational studyLinks to an external site. . Journal of Pediatric Nursing, 55, 141–146. doi:10.1016/j.pedn.2020.08.006

· Huang, J., Qi, H., Lv, K., Chen, X., Zhuang, Y., & Yang, L. (2020). Emergence delirium in elderly patients as a potential predictor of subsequent postoperative delirium: A descriptive correlational studyLinks to an external site. . Journal of PeriAnesthesia Nursing, 35(5), 478–483. doi:10.1016/j.jopan.2019.11.009

· Document: Week 4 Descriptive Statistics SPSS Output Download Week 4 Descriptive Statistics SPSS Output (PDF)

· Document: CITI Program Learner Registration Guide Download CITI Program Learner Registration Guide (PDF)

Assigment .Apa seven . All instructions attached.

Week_4_Descriptives_SPSSoutput.pdf

USW1_NURS_8201_CITI_Program_Registration_Guide.pdf

WEEK4ASSIGNMENT.docx

Week_4_Descriptives_SPSSoutput.pdf

USW1_NURS_8201_CITI_Program_Registration_Guide.pdf

WEEK4ASSIGNMENT.docx

image1.jpeg

Week_4_Descriptives_SPSSoutput.pdf