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Synthesis paper – us english grammar proficiency needed

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Overview: Synthesis Paper

You have been reflecting on changes you have undergone since beginning this program in each of your Journal entries in this course. Now you will synthesize those reflections, plus any other insights into a paper articulating your RN to BSN educational journey. You will use your module Journal entries as well as examples from other RN BSN courses to construct the Synthesis paper.

Objectives

Synthesis Paper in a reflective activity comprised of your experience in the RN BSN program.

You will address your experiences before the RN BSN program, you as a lifelong learner, you in the continuum of novice to expert in the professional nursing role, an account of your role transition to a professional nurse, and an evaluation of the program.

The Synthesis Paper will reflect your understanding and use of APA format and scholarly writing.

  

The following rubric will be used to grade the Synthesis Paper. The paper has 6 sections:

Introduction

Before RN-BSN Program

Lifelong Learning

Novice to Expert

Synthesis of Role Transition to Professional Nursing

Evaluation

The paper must have title page, reference page, plus no more than 4 pages that address the 6 sections of the paper outlined in the grading rubric. So with the title page, 4 pages for the body of the paper, and the reference page, the Synthesis Paper must not be more than 6 total pages using 12-point Times Roman font.

The first 2 grading criteria noted in the rubric below apply to all sections of the paper. APA format, scholarly writing, grammar and spelling are graded in each section. Use Spell Check and Grammar Check! 

In-text citations are required to support each section when you discuss the RN BSN courses or the program. Points will be deducted if this information is not detailed and referenced in the document and on the reference page. References need to be evidence-based if you choose to reference literature instead of information in RN BSN courses.

  

Instructions

Study the rubric to determine the expectations for each section of the paper. Notice that you are required to cite at least one research article or specific RN-BSN course topic or activity for each section. Locate and record citations for articles you may want to reference, and skim the articles to review the contents. Create an outline that incorporates your main ideas into each section. Follow the outline and the rubric to write a rough draft. You may want to draft your paper by hand, or you might prefer to “type as you go,” editing and making changes both during and after writing the draft.

Your final document should include a title page, all 6 sections of the paper as identified in the grading rubric, and a reference page. Including title and reference pages the paper is not to exceed 6 pages. Part of scholarly writing is to be concise in your writing. The Coach is instructed to grade the title page, the first 4 pages of the body of the paper, and the reference page. If the Synthesis Paper is longer than 6 total pages points may be deducted based on grading rubric sections that were not addressed in the allotted 6 pages.

The title page should be formatted according to UT Arlington College of Nursing format or you may use the title page APA 6th Edition format. 

Your writing should be in first person, and is expected to include opinions and personal statements, but have a professional tone. It should flow as a narrative, mostly chronological description your progression through the program including your reflections on specific nursing courses and reflections throughout the program.

Be sure to include a final page titled “References,” and cite your references in correct APA formats. Reference list will include any RN-BSN courses or activities in APA format.

Each section must contain 3-4 well constructed, grammatically correct sentences supported by citations and references (APA 6th Edition Format) as appropriate. Ensure that your writing is informative and interesting, not redundant.

After your write your paper, set it aside and review it again several hours later or the next day. Read it from an objective viewpoint to see if it flows and makes sense. If not, make necessary changes. Have someone else proofread your paper both for content and grammatical accuracy is a vital step. Read your paper out loud before submitting it. Hearing yourself read your own written words can find those last minute mistakes or incomplete thoughts before you submit the paper for grading. 

Reflections Paper and Journal attached to provide background information. 

Rubric attached to show how points will be awarded for information included in the paper. 

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July 1, 2023
    

  

t Tests and ANOVA in Clinical Practice

Inferential statistics enable researchers to apply the data they gather and the conclusions they draw from a particular sample to a larger population. As the name implies, inferential statistics focus on inferring whether there is a relationship between two or more variables. These statistical analyses include t tests and analysis of variance (ANOVA). t Tests are part of a group of statistical tests that test hypotheses; in fact, it is necessary to formulate a hypothesis in order to use a t test, because the results of the test can only be interpreted in the context of a scientific hypothesis.

Inferential statistics such as t tests work well for comparing two groups. Although mathematically equivalent to the t test, ANOVA allows for the comparison of more than two groups. Therefore, when three or more groups are involved, the ANOVA should be used.

In this week’s Discussion, you are asked to locate a current research article that utilizes either a t

test or ANOVA analysis. You provide a summary of the research study and of the study’s application to evidence-based practice. You also examine the article’s use of a t test or ANOVA and how either of those statistical analysis tools helped to inform the article’s conclusions and recommendations.

To prepare:

  • Consider      some of the important issues in health care delivery or nursing practice      today. Bring to mind the topics to which you have been exposed through      previous courses in your program of study, as well as any news items that      have caught your attention recently. Select one topic to consider for this      Discussion.
  • Next,      review journal, newspaper, and Internet articles that provide credible      information on your topic (you can choose any nursing topic from or any other nursing related issue that will be easy to      locate a scholarly research article on which uses a ) 
  • Then,      select one research article on which to focus that used inferential statistical      analysis (either a t test or      ANOVA) to study the topic.
  • With      information from the Learning Resources in mind, evaluate the purpose and      value of the research study discussed in your selected article and      consider the following questions:
  • Who       comprised the sample in this study?
  • What       were the sources of data?
  • What       inferential statistic was used to analyze the data collected (t test       or ANOVA)?
  • What       were the findings?
  • Ask      yourself: How did using an inferential statistic bring value to the      research study? Did it increase the study’s application to evidence-based      practice?

By tomorrow Wednesday 09/27/17, 8 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:

Post a cohesive response that addresses the following:

1) Identify the topic you selected in the first line of your posting. (you can choose any nursing topic from or any other nursing related issue that will be easy to locate a scholarly research article on which uses a )

2) Summarize the study discussed in your selected research article and provide a complete APA citation. Include in your summary the sample, data sources, inferential statistic utilized, and findings.

3) Evaluate the purpose and value of this particular research study to the topic.

4) Did using inferential statistics strengthen or weaken the study’s application to evidence-based practice? 

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns, and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, t tests, and analysis of variance (ANOVA).

This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158)

The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201–208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html

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July 1, 2023
    

  

t Tests and ANOVA in Clinical Practice

Inferential statistics enable researchers to apply the data they gather and the conclusions they draw from a particular sample to a larger population. As the name implies, inferential statistics focus on inferring whether there is a relationship between two or more variables. These statistical analyses include t tests and analysis of variance (ANOVA). t Tests are part of a group of statistical tests that test hypotheses; in fact, it is necessary to formulate a hypothesis in order to use a t test, because the results of the test can only be interpreted in the context of a scientific hypothesis.

Inferential statistics such as t tests work well for comparing two groups. Although mathematically equivalent to the t test, ANOVA allows for the comparison of more than two groups. Therefore, when three or more groups are involved, the ANOVA should be used.

In this week’s Discussion, you are asked to locate a current research article that utilizes either a t

test or ANOVA analysis. You provide a summary of the research study and of the study’s application to evidence-based practice. You also examine the article’s use of a t test or ANOVA and how either of those statistical analysis tools helped to inform the article’s conclusions and recommendations.

To prepare:

  • Consider      some of the important issues in health care delivery or nursing practice      today. Bring to mind the topics to which you have been exposed through      previous courses in your program of study, as well as any news items that      have caught your attention recently. Select one topic to consider for this      Discussion.
  • Next,      review journal, newspaper, and Internet articles that provide credible      information on your topic (you can choose any nursing topic from or any other nursing related issue that will be easy to      locate a scholarly research article on which uses a ) 
  • Then,      select one research article on which to focus that used inferential statistical      analysis (either a t test or      ANOVA) to study the topic.
  • With      information from the Learning Resources in mind, evaluate the purpose and      value of the research study discussed in your selected article and      consider the following questions:
  • Who       comprised the sample in this study?
  • What       were the sources of data?
  • What       inferential statistic was used to analyze the data collected (t test       or ANOVA)?
  • What       were the findings?
  • Ask      yourself: How did using an inferential statistic bring value to the      research study? Did it increase the study’s application to evidence-based      practice?

By tomorrow Wednesday 09/27/17, 8 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:

Post a cohesive response that addresses the following:

1) Identify the topic you selected in the first line of your posting. (you can choose any nursing topic from or any other nursing related issue that will be easy to locate a scholarly research article on which uses a )

2) Summarize the study discussed in your selected research article and provide a complete APA citation. Include in your summary the sample, data sources, inferential statistic utilized, and findings.

3) Evaluate the purpose and value of this particular research study to the topic.

4) Did using inferential statistics strengthen or weaken the study’s application to evidence-based practice? 

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns, and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, t tests, and analysis of variance (ANOVA).

This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158)

The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201–208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html

default image
July 1, 2023
    

  

t Tests and ANOVA in Clinical Practice

Inferential statistics enable researchers to apply the data they gather and the conclusions they draw from a particular sample to a larger population. As the name implies, inferential statistics focus on inferring whether there is a relationship between two or more variables. These statistical analyses include t tests and analysis of variance (ANOVA). t Tests are part of a group of statistical tests that test hypotheses; in fact, it is necessary to formulate a hypothesis in order to use a t test, because the results of the test can only be interpreted in the context of a scientific hypothesis.

Inferential statistics such as t tests work well for comparing two groups. Although mathematically equivalent to the t test, ANOVA allows for the comparison of more than two groups. Therefore, when three or more groups are involved, the ANOVA should be used.

In this week’s Discussion, you are asked to locate a current research article that utilizes either a t

test or ANOVA analysis. You provide a summary of the research study and of the study’s application to evidence-based practice. You also examine the article’s use of a t test or ANOVA and how either of those statistical analysis tools helped to inform the article’s conclusions and recommendations.

To prepare:

  • Consider      some of the important issues in health care delivery or nursing practice      today. Bring to mind the topics to which you have been exposed through      previous courses in your program of study, as well as any news items that      have caught your attention recently. Select one topic to consider for this      Discussion.
  • Next,      review journal, newspaper, and Internet articles that provide credible      information on your topic (you can choose any nursing topic from or any other nursing related issue that will be easy to      locate a scholarly research article on which uses a ) 
  • Then,      select one research article on which to focus that used inferential statistical      analysis (either a t test or      ANOVA) to study the topic.
  • With      information from the Learning Resources in mind, evaluate the purpose and      value of the research study discussed in your selected article and      consider the following questions:
  • Who       comprised the sample in this study?
  • What       were the sources of data?
  • What       inferential statistic was used to analyze the data collected (t test       or ANOVA)?
  • What       were the findings?
  • Ask      yourself: How did using an inferential statistic bring value to the      research study? Did it increase the study’s application to evidence-based      practice?

By tomorrow Wednesday 09/27/17, 8 pm, write a minimum of 550 words essay in APA format with a minimum of 3 references from the list in the instructions area. Include the level one headings as numbered below:

Post a cohesive response that addresses the following:

1) Identify the topic you selected in the first line of your posting. (you can choose any nursing topic from or any other nursing related issue that will be easy to locate a scholarly research article on which uses a )

2) Summarize the study discussed in your selected research article and provide a complete APA citation. Include in your summary the sample, data sources, inferential statistic utilized, and findings.

3) Evaluate the purpose and value of this particular research study to the topic.

4) Did using inferential statistics strengthen or weaken the study’s application to evidence-based practice? 

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns, and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

This excerpt elaborates on how statistics are used to examine causality using procedures such as contingency tables, chi-squares, t tests, and analysis of variance (ANOVA).

This chapter discusses inferential statistics, sampling error, sampling distributions, and the laws of probability. The chapter also introduces key terms such as standard error of mean, hypothesis testing, and parametric test.

This chapter considers the various forms of the t test, including the two-sample t test, Kolmogrov-Smirnov test, independent groups t test, and dependent groups t test. The chapter also discusses the many variables involved in these tests such as effect size, meta-analysis, and Cohen’s d.

Chapter 7, “Analysis of Variance” (pp. 137–146 and 155–158)

The first part of this chapter introduces the basic assumptions, requirements, general logic, and terminology surrounding analysis of variance (ANOVA). The second excerpt focuses on sampling distribution of the F ratio and the null and alternative hypotheses.

Jadcherla, S. R., Wang, M., Vijayapal, A. S., & Leuthner, S. R. (2010). Impact of prematurity and co-morbidities on feeding milestones in neonates: A retrospective study. Journal of Perinatology, 30(3), 201–208. doi:10.1038/jp.2009.149

This article outlines the procedures and results of a retrospective study of how perinatal and comorbidity factors affect the rate at which infants meet feeding milestones. The article also includes an application of inferential statistics to the results of the study.

Shin, J. H. (2009). Application of repeated-measures analysis of variance and hierarchical linear model in nursing research. Nursing Research, 58(3), 211–217. doi:10.1097/NNR.0b013e318199b5ae

Walden University. (n.d.). Analysis of variance. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_analysis_of_variance_anova.html

Walden University. (n.d.). Inferential statistics. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_inferential_stats_and_hypothesis_testing.html

Walden University. (n.d.). t-Tests. Retrieved August 1, 2011, from http://streaming.waldenu.edu/hdp/researchtutorials/educ8106_player/educ8106_ttests.html

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You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

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Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

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Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

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Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

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Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

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