HLT-362 Article Analysis part 2
Grand Canyon University HLT-362 Article Analysis part 2-Step-By-Step Guide
This guide will demonstrate how to complete the HLT-362 Article Analysis part 2 assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for HLT-362 Article Analysis part 2
Whether one passes or fails an academic assignment such as the Grand Canyon University HLT-362 Article Analysis part 2 depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for HLT-362 Article Analysis part 2
The introduction for the Grand Canyon University HLT-362 Article Analysis part 2 is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
How to Write the Body for HLT-362 Article Analysis part 2
After the introduction, move into the main part of the HLT-362 Article Analysis part 2 assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for HLT-362 Article Analysis part 2
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for HLT-362 Article Analysis part 2
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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HLT-362 Article Analysis part 2
| Article Citation and Permalink (APA format) | Bagheri, T., Fatemi, M. J., Payandan, H., Skandari, A., & Momeni, M. (2019). The effects of stress-coping strategies and group cognitive-behavioral therapy on nurse burnout. Annals of burns and fire disasters, 32(3), 184.
Permalink: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7155410/
|
Carreira, H., Williams, R., Müller, M., Harewood, R., Stanway, S., & Bhaskaran, K. (2018). Associations between breast cancer survivorship and adverse mental health outcomes: a systematic review. JNCI: Journal of the National Cancer Institute, 110(12), 1311-1327.
Permalink: https://doi.org/10.1093/jnci/djy177
|
| Point | Description | Description |
| Broad Topic Area/Title | The main topic of the study is the effects or impacts of the stress management strategies and the group cognitive-behavioral therapy on nurse burnout. |
The main/broad topic of the research is the relationship between breast cancer survivorship and the adverse mental health outcomes. |
| Identify Independent and Dependent Variables and Type of Data for the Variables | Independent variable: Stress management strategies and group cognitive-behavioral therapy (continuous variable with the normal distribution)
Dependent variable: Nurse burnout (categorical variable). |
Independent variable: Breast cancer survivorship ( Continuous variable)
Dependent variable: Mental health outcomes (categorical variable).
|
| The population of Interest for the Study | The population of interest in the study include nurses drawn from different healthcare institutions. | The population of interest in the study included breast cancer survivors (women) drawn from different cancer centers. |
| Sample | The sample size was 60. In other words, sixty nurses were randomly selected from different healthcare institutions. 88.1% of those involved in the study process were women while the rest were men (Bagheri et al., 2019). | The study involved 60 participants. In other words, there were sixty breast cancer survivors identified in the study process.
|
| Sampling Method |
Simple random sampling approach was applied in the identification of the research participants. The sample selected was a perfect representation of the population under the study. |
Simple random sampling method was used in the study process to identify respondents. |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
The descriptive statistics used during data analysis include:
The Mean age of the participants was 33.21 years with the Standard Deviation of ± 7.04 years Mean burnout group score was 54.21 with the Standard Deviation of 17.25 |
The descriptive statistics applied during data analysis include:
The Mean age of the participants was 16 years and the Median was 26.7
|
| Inferential Statistics
Identify examples of inferential statistics in the article. |
The inferential statistics used include:
ü Repeated measures ü Variance analysis (ANOVA) at a P-value of 0.05 and ü Chi-square were used at a P-value of 0.05 |
Some of the inferential statistics used included:
ü Relative risk estimates between 1.25 (95% CI = 1.05 to 1.49) and 2.03 (95% CI = 0.56 to 7.42) (Carreira et al., 2018) ü Chi-Square at a P-value of 0.05 |
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References
Bagheri, T., Fatemi, M. J., Payandan, H., Skandari, A., & Momeni, M. (2019). The effects of stress-coping strategies and group
cognitive-behavioral therapy on nurse burnout. Annals of burns and fire disasters, 32(3), 184. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7155410/
Carreira, H., Williams, R., Müller, M., Harewood, R., Stanway, S., & Bhaskaran, K. (2018). Associations between breast cancer survivorship and adverse mental health outcomes: a systematic review. JNCI: Journal of the National Cancer Institute, 110(12), 1311-1327. https://doi.org/10.1093/jnci/djy177
When analyzing quantitative articles, it is important to consider the methodologies and statistics that have been used. The methodologies used in a study can influence the results, so it is important to be aware of them. Additionally, the statistics that are used can also be misleading. It is therefore essential to examine both the methodologies and the statistics in order to get a clear understanding of the article’s findings. The purpose of this assignment is to analyze three quantitative articles by identifying the variables, methodologies, and the statistical approaches that have been used.
Article Analysis 1
| Article Citation and Permalink (APA format) | Liao, Y. Y., Chu, C., Wang, Y., Zheng, W. L., Ma, Q., Hu, J. W., … & Mu, J. (2020). Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults: A 30-year cohort study. Atherosclerosis, 313, 118-125.
Permalink: https://doi.org/10.1016/j.atherosclerosis.2020.10.003
|
Kelly, L. A., Gee, P. M., & Butler, R. J. (2021). Impact of nurse burnout on organizational and position turnover. Nursing Outlook, 69(1), 96-102.
Permalink: https://www.sciencedirect.com/science/article/pii/S0029655420300877
|
Lee, E., & Kim, Y. (2019). Effect of university students’ sedentary behavior on stress, anxiety, and depression. Perspectives In Psychiatric Care, 55(2), 164.
Permalink: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818186/
|
| Point | Description | Description | Description |
| Broad Topic Area/Title |
Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults |
Impact of nurse burnout on organizational and position turnover |
Effect of university students’ sedentary behavior on stress, anxiety, and depression |
| Identify Independent and Dependent Variables and Type of Data for the Variables | Independent variable: long-term burden of body mass index (BMI)
(Type: continuous, numeric variable) Dependent variable: Arterial Stiffness (AS) (Type: continuous, numeric variable) |
Independent Variable: Rates of nurse burnout (Type: continuous, numeric variable)
Dependent variable: Organizational and position turnover (Type: continuous, numeric variable) |
Independent variable: stress, anxiety, and depression (continuous, numeric variable)
Dependent variable: sedentary behavior (categorical variable)
|
| Population of Interest for the Study | School students aged 6–15 years with no chronic diseases in their medical history. | Direct care nurses in different hospitals |
University students |
| Sample |
The sample size used was 1553. In other words 1553 individuals aged 6–15 years were considered in the study (Kelly et al., 2021). |
The sample size used was 3,135. In other words, a 3,135 direct care nurses were considered in the research process (Lee & Kim, 2019). |
The sample size was 244. In other words, 244 students were considered in the study
|
| Sampling Method | Simple random sampling method was used to identify the study participants from the population under the study. | From the study, simple random sampling technique was used to identify the study participants. Survey of direct care nurses was mainly used. |
Simple random sampling |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
ü Media and interquartile range were applied.
Median for age in childhood was 12 Quartile 1 was 9, and quartile 3 was 14. ü Percentages Male constituted 869 (56.0%) Female constituted 684 (44.0%) ü Mean ü Standard deviation
|
ü Mean Age 39.9 ü Standard deviation of Age 10.63 ü Percentages |
Some of the descriptive statistics considered in the study include:
ü Mean of Sedentary behavior =7.96 ü S.D =3.35 ü Minimum= 0.49 ü Median = 7.57 ü Maximum = 18
|
| Inferential Statistics
Identify examples of inferential statistics in the article. |
Some of the inferential statistics used in the article include:
ü Regression analysis
The standardized regression coefficient, β = 6.45, p < 0.001), ü Correlation P< 0.05 ü logistic regression
|
Some of the inferential statistics used in the quantitative article include:
ü logistic regression with p-value at 0.05 ü linear regressions were used to predict nurse burnout (partially determined by resiliency
|
Some of the inferential statistics that have been used include:
ü Independent samples t‐test (at p-value of 0.05) ü One‐way analysis of variance (ANOVA) (at p-value of 0.05) (Liao et al., 2020) ü Simple logistic regression |
Conclusion
When it comes to quantitative article analysis, it’s important to consider the methodologies and statistics that have been used. This is because these factors can impact the results of the analysis and how you interpret them. For example, if a study uses a method that is not as reliable as another method, then you would want to be cautious about relying too heavily on its results. Likewise, if a study has a small sample size or uses a selective group of participants, then you would want to take its findings with a grain of salt. In addition to considering the methodology and statistics used in a study, it’s also important to look at the author’s qualifications. Quantitative methodologies are essential when it comes to obtaining valid results from experiments, surveys and other research. The three articles which this analysis considers each made use of quantitative methods in order to achieve their outcomes. These methodologies are key to the effective application of statistics and data in order to form safe and accurate conclusions. Furthermore, quantitative methodologies serve as crucial tools in evaluating hypotheses, allowing researchers to draw reliable scientific inferences that hold up under scrutiny. Without quantitative methods, any outcomes that result from research would be impossible to verify or refute confidently.
References
Kelly, L. A., Gee, P. M., & Butler, R. J. (2021). Impact of nurse burnout on organizational and position turnover. Nursing Outlook, 69(1), 96-102. https://www.sciencedirect.com/science/article/pii/S0029655420300877
Lee, E., & Kim, Y. (2019). Effect of university students’ sedentary behavior on stress, anxiety, and depression. Perspectives In Psychiatric Care, 55(2), 164. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818186/
Liao, Y. Y., Chu, C., Wang, Y., Zheng, W. L., Ma, Q., Hu, J. W., … & Mu, J. (2020). Sex differences in impact of long-term burden and trends of body mass index and blood pressure from childhood to adulthood on arterial stiffness in adults: a 30-year cohort study. Atherosclerosis, 313, 118-125. https://doi.org/10.1016/j.atherosclerosis.2020.10.003