Foundations of Nursing Research – Interpreting Data

 

Paper details Assessment Rubric Interpreting Data Overview – For this Performance Task, you will conduct descriptive statistical analyses using quantitative data and then conduct content coding to analyze qualitative data. Follow the detailed instructions under Part 1: Quantitative Data and Part 2: Qualitative Data to complete this Assessment. Understanding the variety of analyses available for the research process is a critical step in drawing necessary conclusions to inform nursing practice. As a nursing professional, it is important to evaluate the results of the data analysis to help inform, implement, and evaluate nursing practice solutions. For this Performance Task Assessment, you will complete an analysis of a quantitative data set using Excel and a qualitative data set using a coding guide. After completing the analyses, you will write a summary of the findings and discuss what additional information might be needed to provide a more comprehensive understanding of the issues. Submission Length: 2 templates of 1 page each Competency Statement: Analyze and interpret research data. Note This Assessment requires submission of three files: a completed Quantitative Excel Spreadsheet, a completed Summary Data Analysis Form, and a completed Code Sheet. Instructions Access the following to complete this Assessment: • NR3003 Assessment Quantitative Excel Spreadsheet • NR3003 Assessment Codebook for Quantitative Patient Safety Data • NR3003 Assessment Summary Data Analysis Form • NR3003 Assessment Qualitative Coding Script • NR3003 Assessment Qualitative Analysis Code Scheme

• NR3003 Assessment Qualitative Code Sheet Part 1 Quantitative Data Conduct basic descriptive analyses about the frequency of patient safety incidents during one month on two medical units in a major urban teaching hospital. Open and review the three documents that you will need for this part of the Assessment: • NR3003 Assessment Quantitative Excel Spreadsheet • NR3003 Assessment Codebookfor Quantitative Patient Safety Data • NR3003 Assessment Summary Data Analysis Form The following is an explanation of each document along with instructions for this part of the Assessment: Quantitative Excel Spreadsheet: The quantitative data for this Assessment has been entered into an Excel spreadsheet, which can be accessed using the Excel software that is part of the Microsoft Office suite of applications. This type of spreadsheet is called a rectangular file, because it is arranged in columns and rows. Each column is a different variable in the data set. For example, Column A (ID) is the identification (ID) number variable for patients, and Column B (AGE) is the variable on patient age in years. Each row has data (or information) for each individual patient for each of the variables in the columns. To clarify this, look at the data set. You will see that the patient in Row 2 has the ID number 001 (Column A) and is 22 years old (Column B). The patient in Row 44 has the ID number 43 and is 75 years old. Codebook for Quantitative Patient Safety Data: A codebook is used in quantitative research to define the variables (or columns) in a data set and the response categories for each of these variables. Looking at the codebook for this Assessment, you will see that the second column in the codebook is the name of variables in the data set. Usually the variable names are abbreviated (e.g., DX stands for primary diagnosis upon admission). Next to each variable name is its description and its response categories. As an example, look at the variable called FALLS. Next to this variable is its description; the variable is defined as whether or not a patient had an accidental fall during the hospitalization. The response categories for the variable FALLS is either “0” which means the patient did not fall or “1” which means the patient did fall. To further clarify this, look at Column G on your Excel spreadsheet, which is labelled as FALLS. The term fall can mean many different things, such as a person accidentally falling at home or on a trip to a waterfall (e.g., Snoqualmie Falls). The codebook for a quantitative data set gives the specific definition of a variable. In this Assessment, the variable FALLS means a patient fall that is reported during a hospitalization. Now look at the numbers in the column underneath FALLS. You will only see the numbers “0” or “1”. In the codebook, these are the response categories for the variable FALLS with 0 = no fall and 1 = fall occurred. Now that you know about the rows and columns of a rectangular data set, you are ready to conduct some basic analyses that summarize (or aggregate) information about the 50 patients in the patient safety data.

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Approximately 250 words