Using the Excel Sheet and descriptive statistics page; you will write up your analysis for the 20 participants.
This week, you learned about the statistical software applications used to analyze data for research analysis. For this week’s discussion, you will use Excel sheet provide to run descriptive statistics, create graphs and respond to the following:
- How could you use Excel descriptive statistics for data analysis research?
- What are your plans for learning more about Excel and how will the information you learned about this software be of benefit in your future analysis of research data?
Refer to this week’s readings and video tutorials before starting this two part discussion question assignment. You will also have access to the Assignment Resources Step-by-Step Guide, accessed through the Assignment Resources Icon located to the right of the grading criteria above.
Step 1: Entering Data
OPEN A BLANK WORKSHEET IN THE EXCEL PROGRAM
You will now use Excel to view a sample dataset
In many cases, researchers may have the data from their study in another software package like Microsoft Excel. However, if the data is not available in a software spreadsheet you can manually enter the data. Option 2: Manual Data Entry
In the Worksheet window, type “Age” in C1. Enter the numbers as shown in the dataset below. Enter the remaining data as shown below (set up your column labels i.e., variable). The measure reflects math anxiety and the study variables (cringe, uneasy, afraid, worried, understand) the math anxiety range is from 1–5 with low being the least and 5 the highest.
Step 2: Click on Excel tab for Add Ins; if you do not see statistics; you will need to open the file option; click on Add ins; click on ok; a box will open which will allow you to choose Statistics package; place a check mark in the box and click ok. How to Run Descriptive Statistics
Now that your data is in Excel, you will look at the descriptive statistics for this dataset. Select the data in all the columns except the top that has words for the columns; however you have the file already completed and a picture of the descriptive statistics..See end of page for a copy of the excel sheet and descriptive statistics output.
DISCUSSION QUESTION PART 1
How could you use Excel descriptive statistics for data analysis research? Write about your experience running descriptive statistics. Use the results in the Session Window to support your response. Then add to your discussion with the information you learn writing up your analysis.
Step 3: Excel and Graphs
You will now look at graphing. Select insert graph located at the top of the sheet; highlight the data you want to use for a chart; select the type of chart; select ok. Try using the histogram feature for one of the variables and select “Ok”. You can create other Histogram graphs by choosing different variables. You can also choose from the other ten graph choices shown on the insert chart function.
DISCUSSION QUESTION PART 2
What are your plans for learning more about Excel and how will the information you learned about this software be of benefit in your future analysis of research data? Copy and paste your graph(s) in a Word document and attach to your discussion response.
2) QUESTION #B
For this discussion, you are asked to review the student learning outcomes for this course and discuss how you met these outcomes. The intention here is to provide you an opportunity to “reflect” on the learning achieved during this term and how you successfully met these learning outcomes. If you do not feel you successfully met the objective, discuss your plans to successfully complete the objective in the future.
Upon completion of this course, the student should be able to:
- Critically analyze current practice to formulate researchable problems.
- Evaluate research as the basis for decision-making to improve outcomes through translation into evidence-based practice.
- Synthesize an understanding of the research process through development of a proposal to address a nursing problem or focus area identified in nursing practice.
- Investigate ethical issues related to the conduct of scientific research, including informed consent, data management, data analysis, and protection of human subjects.
- Explore national and international initiatives and research priorities.