NHS8070 2020 October Unit 6 Discussion (dq1+dq2) Latest

NHS8070 Evaluation and Interpretation of Data in Health Care

Unit 6 Discussion            

DQ1 SPSS Practice: Correlation Testing

To best prepare for the assignment in this unit, you must become familiar with some basic statistical skills related to correlation testing. Although there are several tests that you could choose from, such as Pearson, Spearman, Kendall, and Biserial, you will only need to understand the basic differences for two slightly different correlation tests: Pearson correlation and Spearman correlation.

Before performing any inferential statistical analysis, it is common for a researcher to look for relationships among the various variables for which data has been collected.

For example, in our scenario, we want to find out if a change to a vegetarian diet from a typical American omnivorous diet will have an effect on emotional well-being. Before we come to that part of the analysis, however, it is a good idea to see if there are other factors that might influence the study results. It is entirely possible that there may be some hidden influence on the outcome that is related to age or BMI. We will explore just one statistical detective method that can be used to address this issue.

Instructions

For this discussion, refer to the helpful links in Resources and use the Alaska study’s Emotional Well-Being Corrected data set to perform the following analyses for only three variables that have interval/ratio data: Age, BMI and Baseline SF-36 Scores:

Pearson Correlation

Assess the selected variables for outliers and normal distribution and report which type of statistical correlation testing would be the most appropriate.

Create a scatterplot for each selected combination of the above variables to identity the graphic nature of the relationship.

Perform a Pearson Correlation test on the following, regardless of whether the data distribution looks normal: relationship between Age and BMI, then relationship between BMI and Baseline SF-36 scores.

Report the results as the magnitude of the relationship (correlation coefficient) and direction of the relationship (positive or negative).

Spearman Correlation

Perform a Spearman Correlation test regardless of whether the data distribution looks normal for the same two-variable combinations.

Report the results.

Comparison

Explain the differences between the Pearson Correlation and the Spearman Correlation, including when to use each test, advantages, and disadvantages of each.

Describe one or two of the challenges you found while performing these exercises and how you resolved the issues. Where appropriate, provide the address of any website that helped you.

Remember to refer to the guidelines in the FEM as you prepare your post.

Response Guidelines

Read and respond to the posts of your peers according to the guidelines in the FEM.

Address one of more of the following in your response:

How do the challenges and resolutions of your peers compare to yours?

How did the comparison between the Pearson Correlation and the Spearman Correlation of your peers compare to yours?

Learning Components

This activity will help you achieve the following learning components:

Prepare data for analysis.

Identify the chi-square test of independence.

Perform a chi-square test of independence.

Interpret the overall clinical meaning and limitations of the relationship of two variables, based on a correlation analysis and literature regarding age and stress.

Write about statistical concepts clearly, accurately, and professionally.

Resources

Discussion Participation Scoring Guide.

Emotional Well-Being (SF-36) Study Data Set [XLSX].

Pearson's Product-Moment Correlation Using SPSS Statistics.

Spearman's Rank-Order Correlation Using SPSS Statistics.

Scatterplots and Line-Fitting [Video] | Transcript.

How to Choose a Statistical Test [PPTX].

Variables, Hypotheses, and Types of Errors.

DQ2 Critiquing Public Health Literature Reporting: Quantitative Data

In preparation for your doctoral capstone project, you will need to develop advanced health numeracy (statistical knowledge, SPSS) and critical thinking in literacy. This discussion isan opportunity to collaborate with your peers in a critical analysis of a public health study.

Although it may require rereading the article a few times, you will find almost all the critical pieces of information necessary to answer the questions. Only one question will require some digging further from outside resources.

Instructions

Read the yoga and meditation study articleby Argawal, Kumar, and Lewis linked in Resources. The Rothman article is also included for your reference.

Complete the following for your initial post for this discussion, remembering to adhere to the guidelines in the FEM:

Identify the study’s target population. Who is being studied?

Describe the specific problem that the study authors discovered in their research that prompted them to do this study.

Describe the intervention; cite at least one previous study used in this article to justify the intervention. Locate the article to find supporting efficacy data.

Describe all the instruments (assessment tools) that the authors used to show the efficacy of their intervention.

Response Guidelines

Read and respond to the posts of your peers according to the guidelines in the Faculty Expectations message. How do their analyses compare to yours?

Learning Components

This activity will help you achieve the following learning components:

Cite and summarize a selected article.

Identify sampling methods and the difference between populations and samples.

Analyze the analytical testing approach in a quantitative study.

Write about statistical concepts clearly, accurately, and professionally.

Cite sources appropriately, using APA formatting.

Resources

Discussion Participation Scoring Guide.

APA Module.

Capella University Library.

A Pilot Feasibility and Acceptability Study of Yoga/Meditation.

Perspective: The Role of Numeracy in Health Care.

The Value of a Research Critique to Translate Evidence Into Practice.