NURS 8201 Week 4 Assignment: Frequency and Descriptive Statistics
NURS 8201 Week 4 Assignment: Frequency and Descriptive Statistics
NURS 8201 Week 4 Assignment: Frequency and Descriptive Statistics
There are many purposes for frequency and descriptive statistics in data analysis. Some of the most common uses include exploring data, understanding relationships between variables, and making predictions. Frequency statistics can be used to understand how often certain values occur in a data set. This can be helpful in identifying patterns or outliers. Descriptive statistics can be used to summarize a data set and calculate measures of central tendency (such as the mean or median) and dispersion (such as the standard deviation). These summary measures can give you a good overview of your data, which can be helpful in further analyses (Grove et al., 2020). Both frequency and descriptive statistics are important tools for data analysis. The choice of which statistic to use depends on the specific question and the type of data. The purpose of this assignment is to provide the interpretation of the descriptive statistics of the data from the SPSS output given.
Determining variables in the research process is necessary in ensuring accuracy in the interpretation of the descriptive statistics. Some of the variables in this case include respondent’s age, highest school grade completed, race and ethnicity, currently employed, and family income from prior month. Answer: When it comes to descriptive statistics, one of the most important things is to make sure that all the variables are appropriately defined (Grove et al., 2020). This includes making sure that all the data is measured in the same way, and that there is a clear definition for each variable. If certain variables are not properly defined, it can lead to inaccurate results and potentially flawed conclusions. So it is crucial to take the time to define all the variables before beginning any kind of statistical analysis.
Part I
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Table 1: Respondent’s Age
Table 1 indicates the descriptive statistics for the respondent’s age. A total of 1000 respondents too part in the study. The minimum age of the respondents was 19.378 years while the maximum age was 49.43 years. The average age of the respondents was 36.64 years. The standard deviation from the mean was 6.1987.
Table 2: Highest School Grade Completed
Out of the 1000 respondents interviewed, 11 individuals did not provide the data on the highest school grade completed. However, for the respondents who provided this data, the minimum school grade completed is 1 while the maximum grade is 16. The mean school grade completed was 11.2 with a standard deviation of 1.561.
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Assignment: Frequency and Descriptive Statistics
Assume you’ve collected data from 100 patients. You have meticulously recorded each patient’s vitals, pain scores, and medications. But what does all of this information mean? Is your work finished?
How can we make data more meaningful? Why do we need to go beyond raw data to ensure that data is useful?
Descriptive analysis is the process of analyzing data to produce meaning. Descriptive analysis gives data meaning by displaying, explaining, and summarizing it in order to “highlight sample characteristics and describe research variables” (Gray & Grove, 2020). This allows the researcher to present data in a more straightforward and clear manner.
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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.
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-20293632). All papers submitted must use this formatting.
By Day 7
Submit your Assignment by Day 7 of Week 4.
Submission and Grading Information
To submit your completed Assignment for review and grading, do the following:
Please save your Assignment using the naming convention “WK4Assgn+last name+first initial.(extension)” as the name.
Click the Week 4 Assignment Rubric to review the Grading Criteria for the Assignment.
Click the Week 4 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 “WK4Assgn+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 submission.
Grading Criteria
To access your rubric:
Week 4 Assignment Rubric
Check Your Assignment Draft for Authenticity
To check your Assignment draft for authenticity:
Submit your Week 4 Assignment draft and review the originality report.
Submit Your Assignment by Day 7 of Week 4
To participate in this Assignment:
Week 4 Assignment
Also Check Out: NURS 8201 Week 4 Discussion: Levels of Measurement
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What’s Coming Up in Module 3?
Photo Credit: [BrianAJackson]/[iStock / Getty Images Plus]/Getty Images
In the next module, you will continue your exploration of quantitative research and data analysis. You will look more closely at additional techniques and methods of conducting quantitative data analysis and interpretation.
Looking Ahead: Assignment: CITI Program Training
As a doctorally-prepared nurse, you may have opportunities to collaborate in research activities in your practice. The Collaborative Institutional Training Initiative (CITI Program) provides education on protection of human subjects. In the United States, the CITI Program is the training module that most research institutions use. Therefore, as a part of this course, you are required to successfully complete the CITI Program training by Day 7 of Week 9.
Name: NURS_8201_Week4_Assignment_Rubric
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Good
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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.
32 (32%) – 35 (35%)
The response accurately and clearly explains, in detail, a summary of the frequency distributions for the variables presented.
The response accurately and clearly explains, in detail, the number of times the value occurs in the data.
The response accurately and clearly explains, in detail, the appearance of the data, the range of data values, and an explanation of extreme values in describing intervals that sufficiently provides an analysis that fully supports the categorization of each variable value.
The response includes relevant, specific, and appropriate examples that fully support the explanations provided for each of the areas described.
28 (28%) – 31 (31%)
The response accurately summarizes the frequency distributions for the variables presented.
The response accurately explains the number of times the value occurs in the data.
The response accurately explains the appearance of the data, the range of data values, and explains extreme values in describing intervals that provides an analysis which supports the categorization of each variable value.
The response includes relevant, specific, and accurate examples that support the explanations provided for each of the areas described.
25 (25%) – 27 (27%)
The response inaccurately or vaguely summarizes the frequency distributions for the variables presented.
The response inaccurately or vaguely explains the number of times the value occurs in the data.
The response inaccurately or vaguely explains the appearance of the data, the range of data values, and inaccurately or vaguely explains extreme values.
An analysis that may support the categorization of each variable value is inaccurate or vague.
The response includes inaccurate and irrelevant examples that may support the explanations provided for each of the areas described.
0 (0%) – 24 (24%)
The response inaccurately and vaguely summarizes the frequency distributions for the variables presented, or it is missing.
The response inaccurately and vaguely explains the number of times the value occurs in the data, or it is missing.
The response inaccurately and vaguely explains the appearance of the data, the range of data values, and an explanation of extreme values, or it is missing.
An analysis that does not support the categorization of each variable values is provided, or it is missing.
The response includes inaccurate and vague examples that do not support the explanations provided for each of the areas described, or it is missing.
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.
45 (45%) – 50 (50%)
The response accurately and clearly summarizes in detail the interpretation of the descriptive statistics provided.
The response accurately and clearly evaluates in detail each of the variables presented, including an accurate and complete description of the sample size, the mean, the median, standard deviation, and the size and spread of the data.
40 (40%) – 44 (44%)
The response accurately summarizes the interpretation of the descriptive statistics provided.
The response accurately explains evaluates each of the variables presented, including an accurate description of the sample size, the mean, the median, standard deviation, and the size and spread of the data.
35 (35%) – 39 (39%)
The response inaccurately or vaguely summarizes the interpretation of the descriptive statistics provided.
The response inaccurately or vaguely evaluates each of the variables presented, including an inaccurate or vague description of the sample size, the mean, the median, the standard deviation, and the size and spread of the data.
0 (0%) – 34 (34%)
The response inaccurately and vaguely summarizes the interpretation of the descriptive statistics provided, or it is missing.
The response inaccurately and vaguely evaluates each of the variables presented, including an inaccurate and vague description of the sample size, the mean, the median, the standard deviation, and the size and spread of the data, 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 (3%) – 3 (3%)
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%) – 2 (2%)
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 (3%) – 3 (3%)
Contains several (3 or 4) grammar, spelling, and punctuation errors.
0 (0%) – 2 (2%)
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 (3%) – 3 (3%)
Contains several (3 or 4) APA format errors.
0 (0%) – 2 (2%)
Contains many (≥ 5) APA format errors.
Total Points: 100
Name: NURS_8201_Week4_Assignment_Rubric
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