Reference no: EM132231221

Assignment: Application - This Assignment has 2 parts.

Analysis of Quantitative and Qualitative Data

• In order to provide meaningful results, research processes must be carefully selected and appropriate for the data being analyzed.
• Statistical programs such as SPSS are frequently utilized by researchers to conduct the analysis of large data sets.
• These data are organized to provide meaningful interpretation and often include descriptive statistics.
• Qualitative analysis is completed using content analysis, looking for patterns and themes that emerge from the data.
• Individual experiences described in interviews and focus groups are considered data and are often provided as examples to support the results in the study publication.
• Whether you will engage in either quantitative or qualitative research, it is likely that you will encounter both types of studies in the literature.
• As a nursing professional, being able to analyze and interpret both types of research designs will be important to affect nursing practice that promotes positive health outcomes in

Quality of care and patient safety.

1. For Part 1 of this Assignment, you will conduct descriptive statistical analyses using quantitative data.

2. For Part 2 of this Assignment, you will conduct content coding to analyze qualitative data.

3. Please review the Instructions: Quantitative Analysis Assignment and Instructions: Content Coding of Student Pet Peeves in this week's resources to review how to complete both parts of this Assignment.

Part 1: Quantitative Analyses

Follow the step-by-step instructions provided in the Instructions: Quantitative Analysis Assignment document in this week's resources on using the Excel program to conduct descriptive analyses of quantitative data.

The Quantitative Data Excel Assignment spreadsheet that you will need is in the resources for this week.

For this Assignment, you will need to describe the findings from your analyses and summarize what they tell you about these patients and the extent of the adverse events they experienced during their hospitalization by completing the Summary Data Analysis Form in this week's resources.

Part 2: Qualitative Analyses

Follow the step-by-step instructions provided in the Instructions: Content Coding of Student Pet Peeves document in this week's resources. The document provides detailed instructions on the step-by-step process of conducting the content analysis for this part of the Assignment.

Access the Perceived Pet Peeves Data document located in this week's resources that includes the narrative descriptions of 10 students about their "pet peeves' in courses they have taken. (In other words, what are the things that detracted from their learning experiences in these courses)?

The analytic method you will use to analyze the narrative data for this Assignment is called content analysis. It requires you to read each student's narrative and then code its content using thematic categories on a coding sheet.

Access the Code Sheet: Student Pet Peeve Data document located in this week's resources to carry out the coding as defined in the instructions.

For the written part of this assignment, you will need to describe the most common types of "pet peeves" that students have about their courses.

Instructions: Quantitative Analysis Assignment

For the analysis assignment, you will need to conduct basic descriptive analyses about the frequency of patient safety incidents during one month on two medical units in a major urban teaching hospital. To complete this assignment, you will need the following three documents: (a) Excel Spreadsheet: Quantitative Patient Safety Data, (b) Codebook: Quantitative Patient Safety Data, and (c) Summary Data Analysis Form. Below is a description of each of these documents:

(a) Excel Spreadsheet: Quantitative Patient Safety Data: The quantitative data for this assignment 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 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 date set for this assignment. You will see that the patient in row 2 has an ID number 001 (Column A) and is 22 years old (Column B). The patient in row 44 has an ID number 43 is 75 years old.

(b) Codebook: 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 variable. Looking at the codebook for this assignment, 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 which 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, take a look at Column G on your Excel spreadsheet which is labelled as FALLS. The term "falls" can mean many different things, such as a person accidentally falling at home or a waterfall (e.g., Snoqualmie Falls). The codebook for a quantitative data set gives the specific definition of a variable. In this assignment, 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.

(c) Summary Data Analysis Form: This form provides guidelines on how to conduct the required quantitative analyses for this assignment and how to report your findings. When you complete your analyses, you need to submit this completed form using the platform for submitting assignments.

Quantitative Analysis Assignment - Summary Data Analysis Form

This is the form you need to use to describe the findings (or results) of your quantitative analyses of the patient safety data set. For each finding, you are given specific instructions on how to use the Excel program to analyze the data that will give you the results you need for this Assignment. When you have completed the analyses and described your findings on this form, you then need to submit it using the Week 5 platform for assignments.

Analysis 1: What is the mean age of patients in the patient safety data set?

Analysis 2: What percentage of patients were reported to have fallen during their hospitalization?

Analysis 3: What percentage of patients reported catheter-associated urinary tract infections (CAUTIs) during their hospitalization?

Analysis 4: What percentage of patients reported medication errors during their hospitalization?

Analysis 5: What percentage of patients reported methicillin-resistant Staphylococcus aureus (MRSA) infections when first admitted to the medical unit?

Attachment:- Assignment Files.rar