T-Test Nursing Assignment

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T-Test Nursing Assignment

T-Test Nursing assignment

Topic 4: The t-Test
Objectives:
Differentiate the use of three types of t-tests.
Explain the assumptions of the t-test.
Interpret t-test results to determine the difference in means.
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Application of the t-Test

The purpose of this assignment is to learn how to apply the t-test to a sample dataset.

For this assignment, students will use IBM SPSS Statistics and the “Example Dataset.” T-Test Nursing assignment

Using the “Example Dataset” and SPSS, apply the t-test to assess the following statement: “Men and women have different incomes in this city.”

Show your calculations and copy of the SPSS output in a Word document.

In a separate 250-500 Word document, address the following questions:

Describe what t-test is the most appropriate and explain why. Discuss whether you used a one-tailed or two-tailed test and explain why.
Using SPSS, calculate the t-test and provide the test statistic and critical value assuming an alpha of .05.
Calculate the effect size using r2.
Interpret the results by (a) stating the reason the study or test was done, (b) presenting the main results, (c) explaining what the results mean, and (d) making suggestions for future research. T-Test Nursing assignment

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Submit both Word documents to the instructor.

APA style is not required, but solid academic writing is expected.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

Attachments

PUB-550-RS-Example Dataset.xlsx

 

Topic 4 DQ 1

Compare the three types of t-tests by discussing when each is most appropriate to use and which types of questions each type of t-test best answers. Include specific examples to illustrate the appropriate use of each test. T-Test Nursing assignment

Topic 4 DQ 1

The t-test is one type of inferential statistics that are used to determine whether there is a significant difference between the means of two groups (Glen, 2020). The three main types of the t-test are:

One sample t-test tests whether the mean of a single population is equal to a target value. An example is testing whether the mean heights of female college students are greater than 5.5 feet. The second t-test type is the two-sample t-test which tests whether the difference between the means of two independent populations is equal to a target value. And an example of this is testing whether the mean height of female college students significantly differs from the mean height of male college students (Glen, 2020) T-Test Nursing assignment. Another type of t-test is paired t-test, this tests whether the mean of the differences between dependent or paired observations is equal to a target value. When measuring paired t-test, two measurements are usually taken on the same item, person or thing. This test is chosen if two items that are being measured are in the same unique condition. An example is measuring the weight of male college students before and after each student takes a weight-loss pill. This is to determine the mean weight loss is significant enough to conclude that the pill works or not (Glen, 2020). T-Test Nursing assignment.

Reference:

Glen, S. (2020). The t-Test (Student’s T-Test): Definition and Examples. Retrieved from

https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/t-test/

 

Topic 4 DQ 2

Step 2 of hypothesis testing involves reviewing the assumptions of the test you selected. Discuss the three assumptions of the t-test. Provide an example of the assumption that is not robust to violations and a situation when the assumption is violated.

Topic 4 DQ 2

Assumptions are (Harvard University, n.d.):

Not always true
Important conditions that should hold in order for the t-test to work accurately

If you look in the textbook, based on what type of t-test you are doing the assumptions vary slightly. To combine them all, regardless of the type of t-test, there are common assumptions including random sampling, normality of data distribution, adequacy of sample size and equality of variance in standard deviation. T-Test Nursing assignment.

The t-test relies on a set of assumptions for it to be interpreted properly and with validity. Based on these assumptions, the data must be randomly sampled from the population of interest and that the data variables follow a normal distribution (Maverick, 2020).

As mentioned above that based on the t-test the assumptions may vary, that is the same for understanding if the test is robust for violations or not – see below (Emory University, n.d.)

One-sample t-tests are considered “robust” for violations of normal distribution. This means that the assumption can be violated without serious errorbeing introduced into the test.
The t-test for dependent means is considered typically “robust” for violations of normal distribution. This means that the assumption can be violated without serious errorbeing introduced into the test in most circumstance. T-Test Nursing assignment
The t-test for independent means is considered typically “robust” for violations of normal distribution. This means that the assumption can be violated without serious errorbeing introduced into the test in most circumstance.

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Potential assumption violations include (Emory University, n.d.)

Implicit factors – the lack of independence within the sample
Lack of independence: the lack of independence between samples
Outliers – the apparent non-normality of the entire samples
Unequal population variances
Patterns in plot of data – detecting violation assumptions through graphics

Reference

Harvard University (n.d.) The important assumptions for using the t-test. Harvard Canvas. Retrieved from. canvas.harvard.edu › courses › files › download

Maverick, J. B. (2020). What assumptions are made when conducting a t-test? Retrieved from https://www.investopedia.com/ask/answers/073115/what-assumptions-are-made-when-conducting-ttest.asp

Emory University. (n.d.). Test Assumptions. http://www.psychology.emory.edu/clinical/bliwise/Tutorials/TOM/meanstests/assump.htm

Topic 4 DQ 2

Step 2 of hypothesis testing is to check the assumptions. In hypothesis testing, all statistical tests have assumptions, circumstances that need to be satisfied before the completion of the test (Corty, 2016). If this does not happen, the test results will be uncertain (Corty, 2016). There are three assumptions that can be made of the t-test:

Random Sample: The sample is random from the population, robust if violated (Corty, 2016).

Independence of observations: Cases within the sample don’t influence each other, not robust if violated (Corty, 2016).

Normality: The dependent variable is normally distributed in the population, robust to violations if the sample is large (Corty, 2016) T-Test Nursing assignment.

Whether or not the sample is a random sample from the population is the first assumption (Corty, 2016). This assumption is robust, meaning if it is violated, the analysis can still be completed (Corty, 2016). For example, a researcher is using the mean of a sample of adults with ADHD in comparison to the mean of a population of adults with ADHD to perform a single- sample t test (Corty, 2016). If she takes a random sample from a population of adults with ADHD from one state, the researcher should only generalize her results from that particular state (Corty, 2016. However, if the researcher chose participants not at random, the first assumption would be violated. Although, the test can still be completed.

The next assumption is that the observations in the sample are independent, the assumption is not robust (Corty, 2016). This means, if the assumption is violated, the t test cannot be completed (Corty, 2016). Using the same example as before, each subject appears in the sample one time and the reaction times of each case does not influence one another (Corty, 2016). These cases are tested individually and randomly selected, making them independent, not violating the second assumption (Corty, 2016). If the cases were tested as a group and the samples were not random, they become dependent to one another and the second assumption is violated. The test cannot be completed. T-Test Nursing assignment

Reference

Corty, E.W. (2016). Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences. (3rd Ed.) New York, NY: Worth Publishers T-Test Nursing assignment

ANOVA Testing Nursing essay

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ANOVA Testing Nursing essay

PUB-550: Application and Interpretation of Public Health Data

PUB-550 Topic 5: ANOVA Testing

Objectives:
  1. Compare and contrast the types of ANOVA tests and their application. ANOVA Testing Nursing essay.
  2. Apply the results of an ANOVA to determine statistical difference between means and potential interactions.

Application of ANOVA

The purpose of this assignment is to calculate and interpret an ANOVA table. For this assignment, use IBM SPSS Statistics.

Part 1:

Using the “Example Dataset,” assess this statement using ANOVA: “People with different levels of education exercise for different amounts of time during the week.”

Select and conduct the appropriate ANOVA test to assess the statement. Export the ANOVA table to a Word document.

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Part 2:

In 250-500 words, discuss the following regarding the use of ANOVA.

  1. Describe when the use of ANOVA is more appropriate than the use of a t-test.
  2. Describe which ANOVA test you used and why.
  3. Interpret the results by (a) stating the reason the study or test was done; (b) presenting the main results, including explaining the within and between subjects variation and the F-ratio from the ANOVA table; (c) explaining what the results mean, including discussing whether there is a statistically significant difference between education groups and amount of exercise; and (d) making suggestions for future research. ANOVA Testing Nursing essay

General Requirements

Submit one Word document for the Part 1 assignment content and a second Word document for Part 2 of the assignment. Submit both Word documents to the instructor.

APA style is not required, but solid academic writing is expected.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

Attachments

PUB-550-RS-Example Dataset.xlsx

 

Topic 5 DQ 1

Compare the various types of ANOVA by discussing when each is most appropriate for use and which types of research questions each best answers. Include specific examples to illustrate the appropriate use of each test and how interaction is assessed using ANOVA. ANOVA Testing Nursing essay.

Topic 5 DQ 1

Analysis of Variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. It is very useful for analyzing datasets. It is a way to find out if survey or experiment results are significant. In other words, they help you to figure out if you need to reject the null hypothesis or accept the Alternative hypothesis. It basically allows comparisons to be made between three or more groups of data. For example, when multiple medications that treat the same condition are being tested to see which one works better or which one has the most benefit (Glen, 2020) ANOVA Testing Nursing essay.

There are two types of ANOVA that are commonly used, the One-Way ANOVA and the Two-Way ANOVA. A one-way ANOVA is a type of statistical test that compares the variance in the group means within a sample while considering only one independent variable or factor. It is a hypothesis-based test, meaning that it aims to evaluate multiple mutually exclusive theories about one data. A one-way ANOVA compares three or more than three categorical groups to establish whether there is a difference between them. Within each group, there should be three or more observations and the means of the samples are compared ANOVA Testing Nursing essay. For example, conducting research on whether people gain more weight during Thanksgiving, Christmas or Easter (Mackenzie, 2018). In a one-way ANOVA, there are two possible hypotheses. The null hypothesis (H0) is that there is no difference between the groups and equality between means. And the alternative hypothesis (H1) is that there is a difference between the means and groups (Mackenzie, 2018). In the two-way ANOVA, each sample is defined in two ways and resultingly put into two categorical groups. For example weight and gender. It actually compares the effect of multiple groups of two independent variables on a dependent variable and on each other (Mackenzie, 2018).

 

References:

Glen, S. (2020). ANOVA Test: Definition, Types, Examples. Retrieved from

https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/hypothesis-testing/anova/#top

Mackenzie, R. (2018). One-Way vs Two-Way ANOVA: Differences, Assumptions, and Hypotheses. Retrieved from

https://www.technologynetworks.com/informatics/articles/one-way-vs-two-way-anova-definition-differences-assumptions-and-hypotheses-306553

 

Topic 5 DQ 2

Different types of software can be used for data management. Compare Excel and SPSS and discuss specific SPSS software features that make it preferable to Excel for data management. Provide examples illustrating when electing to use SPSS could be preferable to Excel and vice versa ANOVA Testing Nursing essay.

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Topic 5 DQ 2

SPSS is a powerful program which provides many ways to rapidly examine data and test scientific hunches. SPSS can produce basic descriptive statistics, such as averages and frequencies, as well as advanced tests such as time-series analysis and multivariate analysis (Zhang, 2015). The program also is capable of producing high-quality graphs and tables. Compared with Excel, SPSS’s statistical analysis, chart function and database connectivity function can be more powerful. According to Zhang (2015) SPSS software has the characteristics of high speed, no programming, convenient data interface and flexible function module to deal with the huge data which is affected by random factors. Compared with SPSS, Excel shows its more professional. It is worth mentioning that these two types of software documents can be introduced into each other ANOVA Testing Nursing essay. This greatly reduces the trouble of data entry. Users can use the same data file to be processed on different software. The main limitation of analyzing data in an Excel spreadsheet is the potential for errors by typing incorrect formulas (Neyeloff, Fuchs and Moreira, 2012). All sensitivity analysis is done manually, including and excluding each study of the effect summary calculations.

Neyeloff, J. L., Fuchs, S. C., & Moreira, L. B. (2012). Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis. BMC Res Notes (5) 52. https://doi.org/10.1186/1756-0500-5-52.

Zhang, K. (2015). Application of SPSS single factor analysis of variance in biostatistics ANOVA Testing Nursing essay.

 

Regression Nursing Essays

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Regression Nursing Essays

PUB-550: Application and Interpretation of Public Health Data Topic 6: Regression

Topic 6: Regression

Objectives:

  1. Apply the steps of a regression analysis to determine the linear regression equation and its appropriateness based on the data. Regression nursing essays.
  2. Interpret regression output to predict changes in a dependent variable based on changes in one or more predictor variables.

Application of the Pearson Correlation Coefficient and the Chi-Square Test

The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence.

For this assignment, complete Problems 13.132 and 15.88 in the textbook. Include your process for conducting the calculations. You can complete the calculations by hand or using Excel or SPSS. If you use Excel or SPSS, copy and paste your output results into a Word document. Regression nursing essays.

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When addressing each textbook problem, provide a response for each of the six steps of hypothesis testing listed below.

  1. Pick a test.
  2. Check the assumptions.
  3. List the hypotheses.
  4. Set the decision rule.
  5. Calculate the test statistic.
  6. Interpret the results. (What was done? What was found? What does it mean? What suggestions exist for future research?)

Submit a Word document with your problem answers to each of the six steps. If Excel or SPSS was used to complete the assignment, submit the second Word document containing the screenshots to the instructor.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. Regression nursing essays.

You are not required to submit this assignment to LopesWrite.

Topic 7 DQ 1

Correlation is a common statistic to measure a general linear relationship between two variables. Explain why correlation does not equal causation. Describe the data characteristics necessary to calculate a Pearson correlation coefficient. Design a study that would apply the Pearson correlation coefficient as an appropriate statistic.

Topic 7 DQ 1

Association is the same as dependence and may be due to direct or indirect causation. Correlation implies specific types of association such as monotone trends or clustering, but not causation (Altman and Krzywinski, 2015). For example, when the number of features is large compared with the sample size, large but spurious correlations frequently occur. Conversely, when there are a large number of observations, small and substantively unimportant correlations may be statistically significant Regression nursing essays. Association should not be confused with causality; if X causes Y, then the two are associated (dependent). However, associations can arise between variables in the presence (i.e., X causes Y) and absence (i.e., they have a common cause) of a causal relationship (Altman and Krzywinski, 2015). As an example, suppose we observe that people who daily drink more than 4 cups of coffee have a decreased chance of developing skin cancer. This does not necessarily mean that coffee confers resistance to cancer; one alternative explanation would be that people who drink a lot of coffee work indoors for long hours and thus have little exposure to the sun, a known risk. If this is the case, then the number of hours spent outdoors is a confounding variable a cause common to both observations. In such a situation, a direct causal link cannot be inferred; the association merely suggests a hypothesis, such as a common cause, but does not offer proof. In addition, when many variables in complex systems are studied, spurious associations can arise. Thus, association does not imply causation.

 

Altman, N., & Krzywinski, M. (2015). Association, correlation and causation. Nature Method. 12(10).

Topic 7 DQ 2

Describe the conditions in which a nonparametric test would be a better selection than a parametric test. Illustrate your ideas with a specific example of when you would use each type of test using similar variables for each example. Regression nursing essays.

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Topic 7 DQ 2

Nonparametric tests are sometimes called distribution-free tests because they are based on fewer assumptions (e.g., they do not assume that the outcome is approximately normally distributed). Parametric tests involve specific probability distributions (e.g., the normal distribution) and the tests involve estimation of the key parameters of that distribution (LaMorte, 2017).

Nonparametric tests are preferred when the area of study is better represented by the median. For example, When the distribution is skewed enough, the mean is strongly affected by changes far out in the distribution’s tail whereas the median continues to more closely reflect the center of the distribution. The mean is not always the better measure of central tendency for a sample. Even though one can perform a valid parametric analysis on skewed data, that doesn’t necessarily equate to being the better method (Ogee et al., 2015). For skewed distributions, changes in the tail affect the mean substantially. Parametric tests can detect this mean change. Conversely, the median is relatively unaffected, and a nonparametric analysis can legitimately indicate that the median has not changed significantly.

Nonparametric tests are valid when the sample size is small and data are potentially non-normal. when the sample size guidelines for the parametric tests are not met, and there was not confident that is normally distributed data, a nonparametric test should be used. Nonparametric analyses tend to have lower power at the outset, and a small sample size only exacerbates that problem (Frost, 2017).

Another time to use nonparametric tests is when we have ordinal data, ranked data, or outliers that can’t be removed. In actuality, parametric tests can only assess continuous data and the results can be significantly affected by outliers. On the contrary, some nonparametric tests can handle ordinal data, ranked data, and not be seriously affected by outliers (Ogee et al., 2015). Sometimes outliers can be legitimately removed from the dataset if they represent unusual conditions. However, sometimes outliers are a genuine part of the distribution for a study area, and should not be removed (Frost, 2017). Regression nursing essays

References:

Frost, J. (2017). Nonparametric Tests vs. Parametric Tests. Retrieved from

https://statisticsbyjim.com/hypothesis-testing/nonparametric-parametric-tests/

LaMorte, W. (2017). When to Use a Nonparametric Test. Retrieved from

http://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/BS704_Nonparametric/BS704_Nonparametric2.html

Ogee, A., Ellis, M., Scibilia, B., and Pammer, C. (2015). Choosing Between a Nonparametric Test and a Parametric Test. Retrieved from

https://blog.minitab.com/blog/adventures-in-statistics-2/choosing-between-a-nonparametric-test-and-a-parametric-test   Regression nursing essays

DNP Projects

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DNP Projects

Reflect on the DNP projects Dr. Beechinor and Dr. Stefan discussed in this week’s media presentation, as well as the DNP Scholarly Project specifications outlined in the AACN Essentials. DNP Projects

Consider your professional experiences in light of new information you may have encountered in this course. With this in mind, identify a need or change related to a practice environment. Please note that the objective of this activity is to increase your awareness of potential DNP projects; you are not committing to a project idea at this time.

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To complete: (Professional Organization I belong to is: AANP –American Association of Nurse Practitioners)

Write 2-pages paper describing a need or change related to a practice environment or a problem that is suitable for research.

Include your rationale for why this situation or topic warrants attention.

Outline your plans for participation in the professional nursing organization, and describe how this will help you to meet your professional goals.

Also, consider how the organization may correlate with or support the development of your DNP Scholarly Project  in the future.

Include documentation of your membership at the end of your Major Assessment as an Appendix. (You may copy and paste the e-mail verification of your membership, or copy your membership receipt and paste it into your Word doc.) Be sure to observe proper APA style for including appendices. DNP Projects

References

Zaccagnini, M. E., & White, K. W. (2014). The doctor of nursing practice essentials: A new model for advanced practice nursing (2nd ed.). Sudbury, MA: Jones & Bartlett. [Vital Source e-reader]

Chapter 10, “A Template for the DNP Scholarly Project”

nine steps that should be incorporated into the structure of a DNP Scholarly Project.

American Association of Colleges of Nursing (AACN). (2006). The essentials of doctoral education for advanced nursing practice. Washington, DC: Author. Retrieved from https://www.aacn.nche.edu/publications/position/DNPEssentials.pdf

“Final DNP Project” (p. 20)

Forsyth, D. M., Wright, T. L., Scherb, C. A., & Gaspar, P. M. (2010). Disseminating evidence-based practice projects: Poster design and evaluation. Clinical Scholars Review, 3(1), 14–21. DNP Projects

Nursing Care Plans for Pregnancy Essay

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Nursing Care Plans for Pregnancy Essay

Nursing Care Plans for Pregnancy Essay Discussion: Care Plans for Pregnancy. After confirming and dating a pregnancy, you must collaborate with patients to develop a personalized care plan. These pregnancy care plans are integral to prenatal care as they help to ensure the mother and child’s well-being throughout the entire pregnancy. Pregnancy can be a wonderful, yet difficult time for women as a woman’s body goes through many physical, mental, and emotional changes that might be challenging or even overwhelming for some. Whether or not these women share their concerns, as the advanced practice nurse, you must routinely watch for signs and symptoms of any developing physical or mental health issues. By collaborating with patients and discussing concerns, you can modify care plans and often address potential issues before they become a significant health problem. For this Discussion, consider pregnancy care plans for the women in the following case studies:Case Study 1:On 1-15-13, you are seeing a 25-year-old Caucasian female in the clinic because she believes she’s pregnant. Her LMP was 12-1-12. Her home pregnancy test was positive, and she has been having nausea and breast tenderness. Nursing Care Plans for Pregnancy Essay

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Nursing Care Plans for Pregnancy Essay

To prepare:

  • Review Chapter 30 of the Schuiling and Likis text and Chapter 2 of the Tharpe et al. text.
  • Review and select one of the two provided case studies. Analyze the patient information.
  • Consider how to date the pregnancy and estimate the date of delivery for the patient in the case study you selected.
  • Based on the dating of the pregnancy, reflect on the appropriate clinical guidelines for procedures and screenings. Think about the implications of any missed procedures or screenings.
  • Determine a plan of care for the patient. Identify procedures, screenings, diagnostic testing, pharmacologic and nonpharmacologic treatments (if appropriate), management strategies, and patient education.

Post the estimated date of delivery for the patient (EDD), in the case study. Include an explanation of how you dated a pregnancy and which of the patient’s factors led to your estimated date of delivery.

Then, based on the dating of the patient’s pregnancy, explain the appropriate clinical guidelines for procedures and screenings. Nursing Care Plans for Pregnancy Essay

Explain implications of any missed procedures and/or screenings.

Finally, explain a plan of care for the patient, including procedures, screenings, diagnostic testing, pharmacologic and nonpharmacologic treatments, management strategies, and patient education.

Here are some recommended references for Nursing Care Plans for Pregnancy Essay:

1.Schuiling, K. D., & Likis, F. E. (2017). Women’s gynecologic health (3rd ed.). Burlington, MA: Jones and Bartlett Publishers.

2.Tharpe, N. L., Farley, C., & Jordan, R. G. (2017). Clinical practice guidelines for midwifery & women’s health (5th ed.). Burlington, MA: Jones & Bartlett Publishers.

3. Centers for Disease Control and Prevention. (2012b). Women’s health. Retrieved from http://www.cdc.gov/women/

National Institutes of Health. (2012). Office of Research on Women’s Health (ORWH). Retrieved from http://orwh.od.nih.gov/

U.S. Department of Health and Human Services. (2012a). Womenshealth.gov. Retrieved from http://www.womenshealth.gov/

Nursing Care Plans for Pregnancy Essay

 

Application of the Pearson Correlation Coefficient and the Chi-Square Test in nursing

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Application of the Pearson Correlation Coefficient and the Chi-Square Test in nursing

Application of the Pearson Correlation Coefficient and the Chi-Square Test in nursing

PUB-550: Application and Interpretation of Public Health Data

Topic 7: Correlation and Nonparemetric Tests

Objectives:

  1. Evaluate the application of the Pearson correlation coefficient.
  2. Evaluate the application of nonparametric statistical tests such as the chi-square test.
  3. Explain the differences between parametric and nonparametric tests.

Application of the Pearson Correlation Coefficient and the Chi-Square Test

The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence.

For this assignment, complete Problems 13.132 and 15.88 in the textbook. Include your process for conducting the calculations. You can complete the calculations by hand or using Excel or SPSS. If you use Excel or SPSS, copy and paste your output results into a Word document. Application of the Pearson Correlation Coefficient and the Chi-Square Test in nursing.

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When addressing each textbook problem, provide a response for each of the six steps of hypothesis testing listed below.

  1. Pick a test.
  2. Check the assumptions.
  3. List the hypotheses.
  4. Set the decision rule.
  5. Calculate the test statistic.
  6. Interpret the results. (What was done? What was found? What does it mean? What suggestions exist for future research?)

Submit a Word document with your problem answers to each of the six steps. If Excel or SPSS was used to complete the assignment, submit the second Word document containing the screenshots to the instructor.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite. Application of the Pearson Correlation Coefficient and the Chi-Square Test in nursing

Nursing Engagement

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Nursing Engagement

Rationale:

Nursing engagement is linked to critical safety, quality, and patient experience outcomes.Nurses and the medical profession must understand the intricacies of engagement to improve patient care and move the practice to higher levels of professional interaction. Nursing Engagement

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Proposed Topic:

The proposed qualitativeresearch topic examines and analyzesemergency room nurseburnout and retention. Burnout is a problem in most professions.  This is especially true with the rigors of nursing.Career aspirations and dreams represent the motivation to enter the profession. These are present at the beginning of a career and present an anticipatory set of ideal working conditions.  The actual experiences of day-to-day working conditions, workload, expectations, treatment, management, and environment represent a reality which determines the level of possible burnout or satisfaction for the nurses. The relationship of anticipated aspirations and dreams versus experience can lead to exhaustion and burnout as described by Aiken, Clarke, Sloan, Sochalski, and Silber (2002).The study will sample 25 emergency room nurses with one to five years of experience, who will be administered a survey to collect data. The survey will have respondents answer Likert Scale items indicating the level of satisfaction with various aspects of their current position, along with their career dreams and aspirations at the beginning of their career. The survey will also ask respondents to respond to a series of items which will indicate levels of burnout and likelihood to be retained within the profession. In addition to the survey, ten separate nurses will be interviewed to better assess their engagement and opinions on the practice

Independent Variable-Career dreams/aspirations and job satisfaction elements

Dependent Variables- Level of burnout/engagement, and the likely retention of emergency room nurses.

Research Question:

  • What are the key differences between emergency room nurse career dreams/aspirations and their actual experience in the practice?
  • What are the key factors leading to emergency room nurse burnout and possible exit from the nursing practice?

Nursing Engagement

 

PUB-550 Benchmark – Analyzing and Reporting Data in Nursing

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PUB-550 Benchmark – Analyzing and Reporting Data in Nursing

The purpose of this PUB-550 Benchmark – Analyzing and Reporting Data in Nursing assignment is analyze a dataset and report findings to relevant stakeholders.

Read the Topic Material “Analyzing and Reporting Data – Overview” prior to beginning the assignment.

For this assignment, you will use IBM SPSS Statistics and one of the three datasets to conduct a basic statistical analysis and report the results by creating a scientific poster. MPH students can use this assignment as an introduction to the option of a larger secondary data analysis for their capstone project.

Select a public health topic that is of interest to you and complete the following using the “GCU MPH Poster Template.”

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  1. Review the three datasets provided in the Topic Materials and brainstorm at least one potential research question that could be answered by one of the datasets. The question should be based on a topic that is of interest to you and is supported by existing literature. PUB-550 Benchmark – Analyzing and Reporting Data in Nursing
  2. Select the dataset and organize the data to complete the analysis.
  3. Provide descriptive statistics that summarize the sample.
  4. Select an appropriate statistical test and conduct the analysis.
  5. Interpret the results of your analysis.
  6. Prepare your poster presentation putting the results in the context of the larger story surrounding the purpose for the analysis. Consider the data source, assumptions, hypotheses, decision rule, and interpretation.

In addition to the poster, write a 1,000-word summary of the analysis that addresses the questions below. The summary should include additional discussion notes you would include for each section if you were presenting your poster at a professional conference. Typically, a poster presentation involves presenting your poster to small groups and providing an oral explanation as the audience reviews your poster.

  1. Summary of the data source.
  2. Variables used in the analysis.
  3. The six steps of hypothesis testing.

Prepare and submit the PowerPoint poster and summary as two separate documents.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required. PUB-550 Benchmark – Analyzing and Reporting Data in Nursing

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

Attachments

PUB-550-RS-National-Health-Interview-Survey-Dataset.sav
PUB-550-RS-Analyzing-and-Reporting-Data-Overview.docx
PUT-550-RS-Demographhic-and-Health-Survey-Dataset.sav
PUB-550-RS-Youth-Risk-Behavior-Surveillance-System-Dataset.sav
PUB-550-RS-GCU-MPH-Poster-Template.pptx

Analyzing and Reporting Data – Overview

The purpose of this assignment is to give you experience conducting a basic secondary data analysis using real-world surveillance data. Secondary data analysis is faster and cheaper to conduct compared to primary data collection. However, there are also significant limitations. The data were likely collected for a different purpose, and may not include the specific variables required to answer your question. The sampling strategy might not be random and may not be representative of your target population. These are examples of such limitations you should be aware of as you work with existing data. PUB-550 Benchmark – Analyzing and Reporting Data in Nursing.

A key question is whether the data should determine the research question, or if the research question should determine the type of data you use. In practice, you would want your research question or hypothesis to determine the dataset you select. In this assignment, you are limited to three datasets and may need to adjust your initial research question to accommodate one of the three datasets. Avoid “mining” for significant results and stick to your initial research question as much as possible. PUB-550 Benchmark – Analyzing and Reporting Data in Nursing. For this project, you will select one of the three example datasets to complete a basic analysis and communicate your findings through a scientific poster presentation.

These steps will help you get started:

  1. Review the websites for each of the three datasets listed below. Be sure to understand the purpose of the survey, the sample used in the survey, and the main focus areas of each survey. Review the documentation provided on the websites to get to know the story behind the data and understand the population before reviewing the data.
  2. Select the dataset that is most appropriate for your interest area.
  3. Open the data in SPSS and get to know the data by reviewing the variables in “Variable View” mode. This view will allow you to read the variable labels and response labels for each variable.
  4. Based on your research interest and question, select variables that will help increase your understanding about that topic.
  5. Arrange the data as needed to organize and clean data, allowing you to focus on your specific question. Remember to save your analytic data file as a new file in case you need to go back to the original file. It is good practice to continually save new versions of the data file as you work with and manipulate the data.
  6. Follow the hypothesis testing steps to carry out your secondary data analysis. PUB-550 Benchmark – Analyzing and Reporting Data in Nursing.

For additional information on conducting a secondary data analysis, read the Topic Material, “Conducting High-Value Secondary Dataset Analysis: An Introductory Guide and Resources.”

Dataset Documents

  1. Demographic and Health Survey

The Demographic and Health Survey is a global monitoring survey administered by USAID. The sample dataset is the model data set put together by USAID to explore DHS data. The sample data is not from a specific country or year, but it gives you an idea of what can be obtained from various countries through these datasets. The datasets are free and publically available once you register with USAID to access the DHS data. For the purpose of this assignment, treat this dataset as coming from a country of your choice. Access to the Model Questionnaire, Recode Manual, and Data Video Tutorials, including a video on the sampling strategy, is found at http://dhsprogram.com/data/model-datasets.cfm.

Note: You do not need to worry about weighting strategies for this PUB-550 Benchmark – Analyzing and Reporting Data in Nursing assignment.

Use the http://dhsprogram.com/data/Using-DataSets-for-Analysis.cfm link to review the “Step-by-Step Introduction to Analyzing DHS Data” for tips on how to access your own dataset for future use and to see what resources are available to help you navigate the model dataset for this assignment:

  1. Youth Risk Behavior Surveillance System (YRBSS)

The Youth Risk Behavior Survey is a national survey monitoring health behaviors among youth and young adults. It is administered by the Centers for Disease Control and Prevention. The example dataset for this assignment comes from the National Survey (not combined) dataset for 2015. General information about the survey is found at https://www.cdc.gov/healthyYouth/data/yrbs/index.htm.

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Documentation and questionnaires can be found by accessing the “YRBSS Data and Documentation: website at https://www.cdc.gov/healthyyouth/data/yrbs/data.htm.

Please read the 2015 YRBS Data User’s Guide, listed in the “National YRBS Datasets and Documentation” page at https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2015/2015_yrbs-data-users_guide_smy_combined.pdf.

The dataset includes calculated variables not found in the questionnaire that you might find helpful in determining your analysis for this assignment. PUB-550 Benchmark – Analyzing and Reporting Data in Nursing. The crosswalk to match the questions with the dataset can be found by viewing the “YRBS Questionnaire Content – 1991-2017” found at https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2017/yrbs_questionnaire_content_1991-2017.pdf.

  1. National Health Interview Survey (NHIS)

The NHIS began in 1957, and has been used to monitor the health of the United States ever since. It is a household-level survey administered by the U.S. Census Bureau. Key topics in the survey include doctor’s visits, medical conditions, health insurance, and health behaviors. General information about the survey, including the sample design and data collection procedures, can be found at https://www.cdc.gov/nchs/nhis/about_nhis.htm.

A Survey Description of the 2015 National Health Interview Survey can be found at ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2015/srvydesc.pdf.

The sample dataset is from the 2015 adult survey at https://www.cdc.gov/nchs/nhis/nhis_2015_data_release.htm.

Some of the variables have been deleted to decrease the size of the file, but none of the observations have been dropped. Please review the “2015 National Health Interview Survey (NHIS) Public Use Data Release” document at ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2015/readme.pdf.

Review the “2015 NHIS Public Use Variable Summary” at ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2015/samadult_summary.pdf.

After you identify a few variables you are interested in, review the complete description of the variable in the variable layout document at ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2015/samadult_layout.pdf.

Checking the variable frequencies will help you determine the range of answers for each variable of interest, including the number of missing observations. If the number missing is high, consider using another variable. Variable frequencies can be found at ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/NHIS/2015/samadult_freq.pdf.  PUB-550 Benchmark – Analyzing and Reporting Data in Nursing

Arthritis Assignment Discussion

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Arthritis Assignment Discussion

MP is a sixty-five-year-old male who has recently retired. He is coming in today for a complaint about pain in his back, knees, and hips. He reports that he has been experiencing this pain for the past six months, and he has been able to control the symptoms with OTC Advil. He describes the pain as stiffness and occasional shooting and aching pains radiating all over. He denies any swelling of his joints. However, the OTC medications are not working well, and he is here to see whether there are any other options he might try. On physical exam, he has tenderness on palpation on the right and left hips and both knees are positive for crepitus. All blood work is within normal limits. Answer the following questions in a 2 pages Word document:

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• What additional information would ask him? Does MP need any additional testing?

• What possible issues could contribute to his symptoms? (arthritis) What would your treatment plan be? For medications, include dosages and schedules

• He asks about injections to both knees to increase his comfort. How would you respond to that?

• Include highlights of patient teaching and/or lifestyle alterations. Support your decisions with at least one reference to a published clinical guideline and one peer-reviewed publication Arthritis Assignment Discussion

 

 

Health Statistics Case

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Health Statistics Case

Respond by classifying each of the following variables as either: nominal, ordinal, interval, or ratio. Provide a brief explanation where indicated.

  1. A researcher studying lifespan categorizes individuals into single, married, divorced, or widowed. What type of variable measurement is this?
  2. A cognitive scientist places her subjects into categories based on how anxious they tell her that they are feeling: “not anxious,” “mildly anxious,” “moderately anxious,” and “severely anxious,” and she uses the numbers 0, 1, 2 and 3 to label categories where lower numbers indicate less anxiety. What type of variable measurement is this? Are the categories mutually exclusive? Health Statistics Case

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  3. A Physician diagnoses the presence or absence of disease (i.e., yes or no). What type of variable measurement is this?
  4. A person weighing 200 lbs. is considered to be twice as heavy as a person weighing 100 lbs. In this case, what type of measurement is body weight?
  5. A nurse takes measurements of body temperature on patients and reports them in units of degrees Farenheit as part of a study. What type of variable measurement is this?
  6. Patients rate their experience in the emergency room on a five point scale from poor to excellent (1 = very poor, 2 = not very good, 3 = neither good nor bad, 4 = quite good, and 5 = excellent). What type of variable measurement is this? Is the difference between a 1 and a 2 necessarily the same as the difference between a 3 and a 4? Explain briefly.

Part II: Statistics (1/2 page)

Given what you’ve learned in this Health Statistics Case module about the meaning of “statistics,” choose one of the examples from Part I (1-6), and raise a relevant question of your own that could be answered by a statistician. Then without answering your own question, explain how a pattern could be studied or a useful prediction made based on data that are to be collected.

Part III: Quantitative vs. Qualitative Data (approximately 1–1½ pages)

A health scientist wishes to measure how well participants diagnosed with Post Traumatic Stress Disorder are coping. Explain how a variable such as coping could be measured quantitatively or qualitatively. Health Statistics Case