Quantitative Methods of Inquiry
DNP 830 Topic 5 Quantitative Methods of Inquiry GCU
DNP 830 Topic 5 Quantitative Methods of Inquiry GCU
General Requirements:
This topic helps you develop a basic understanding of quantitative methods of inquiry. In this assignment, you will have the opportunity to use the SPSS program. SPSS makes it easy to analyze data using specific tests. This assignment will give you practice with means, medians, and modes.
Use the following information to ensure successful completion of the assignment:
- Review the Topic Material videos,A Brief Comparison of Qualitative and Quantitative Research Methods and Quantitative vs Qualitative Research,before undertaking this practice.
- Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
- This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
- You are required to submit this assignment to LopesWrite. Please refer to the directions in the Student Success Center.
Directions:
After you have completed the assigned readings and viewed the assigned videos, write a 500-750 word paper that addresses quantitative methods of inquiry. Use the data provided in the Topic Material, “H Cup State Inpatient Databases (SID) File Composition – Number of Discharges by Year,” and appropriate statistics to address the following:
- Describe the different quantitative methods of inquiry.
- Describe the mean, median, and mode of discharges by state in 2014.
- Compare the number of discharges in 2010, 2012, and 2015 in all states. Are there significantly more discharges in 2015 versus 2010 in all states?
- Compare the number of discharges in 2011 in northwestern states (Washington, Oregon, Idaho, Montana, Wyoming), southwestern states (California, Nevada, Utah, Arizona, New Mexico, Oklahoma, and Texas), central states (North Dakota, South Dakota, Nebraska, Kansas, Missouri, Iowa, Minnesota, Wisconsin, Illinois), southeastern states (West Virginia, Virginia, North Carolina, South Carolina, Georgia, and Florida), and northeastern states (Maine, Vermont, New Hampshire, Massachusetts, Rhode Island, Connecticut, Washington D.C., New York, New Jersey, Pennsylvania, Delaware, and Maryland).
- Summary of the paper.
Portfolio Practice Hours:
Practice immersion assignments are based on your current course objectives and is application based learning using your real-world practice setting. These assignments earn practice immersion hours and are indicated in the syllabus by a Portfolio Practice Hours statement which reminds you, the learner, to enter in a corresponding case log in Typhon. Actual clock hours are entered, but the average hours associated with each practice immersion assignment is 10.
You are required to complete your assignment using real-world application. Real-world application requires the use of evidence-based data, contemporary theories, and concepts presented in the course. The culmination of your assignment must present a viable application in a current practice setting. For more information on parameters for practice immersion hours, please refer to DNP resources in the DC Network.
To earn portfolio practice hours, enter the following after the references section of your paper:
Practice Hours Completion Statement DNP-830
I, (INSERT NAME), verify that I have completed (NUMBER OF) clock hours in association with the goals and objectives for this assignment. I have also tracked said practice hours in the Typhon Student Tracking System for verification purposes and will be sure that all approvals are in place from my faculty and practice mentor.
DNP 830 Topic 6 Working With Inferential Statistics GCU
General Requirements:
This course helps you develop a basic understanding of statistics. Two distinct types of statistics are addressed: descriptive and inferential. In this assignment, you will have the opportunity to use the SPSS program. SPSS makes it easy to analyze data using specific tests. This assignment will give you practice with t-tests and ANOVA. Be sure to review the videos before undertaking this practice.
Use the following information to ensure successful completion of the assignment:
- For assistance with accessing SPSS, refer to the resources “How to Use SPSS From the GCU Server” and “How to Install SPSS on Your Computer.”
- Before beginning this assignment, be sure to view the tutorial videos provided as Topic Materials: (1) SPSS for Beginners 6a: One-Sample T-Tests and Confidence Intervals; (2) SPSS for Beginners 6c: Independent-Samples T-Tests and Confidence Intervals; (3) Oneway ANOVA – SPSS (Part 1); (4) ANOVA 1: Calculating SST (Total Sum of Squares); and (5) Introduction to Statistics: Inferential Statistics.
- Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
- You are not required to submit this assignment to LopesWrite.
Directions:
Open SPSS and complete the following:
SPSS Output
Open SPSS and obtain an output (as in the tutorial videos) with the following results highlighted.
Have children exposed to movies created before 1980 caused more injuries than children exposed to movies after 1980?
Which group has caused more injuries: children exposed to movies created between 1937-1960, children exposed to movies created between 1961-1989, or children exposed to movies created between 1990-1999?
Determine the statistics using a one-tailed t-test (for question 1) and ANOVA (for question 2). Be sure to describe how you ensured that the assumptions for each test were met prior to doing the one-tailed t-test and ANOVA. Justify your choice with references.
Data Set:
“Data Set: Violence, Children, and Movies” is provided as a Topic Material.
Summary:
Write a 250-500 word summary of your results and how this statistical analysis may be applied to your prospectus. Use the “Working With Inferential Statistics Template” to present your data and embed the table in your paper. Include your SPSS output as an appendix in the paper.
Quantitative Methods of Inquiry
Introduction
There are a lot of ways to analyze data.
Quantitative Methods of Inquiry
In the context of education, quantitative methods are scientific methods. They are used to measure things, answer questions and make predictions about them. The best example of this is statistics.
Statistics: Counting and measuring
Statistics is the use of numbers or measurements to find patterns in data sets that may not be apparent at first glance. Statistics can tell you how many times something happens, who has it happen most often or whether one thing is more likely than another based on previous information. For example: If you have ever been in an elevator with no electricity going on at all then statistically speaking there are more chances of having had this experience than if there was power available (assuming other factors remain equal).
The world is full of questions.
The world is full of questions. It’s also full of answers. Questions about the past, about the future, about the real world—these can be answered with quantitative methods. Quantitative methods are useful for answering questions in any field: history and science; engineering and mathematics; business strategy and marketing.
For example: if you want to know how many people were living in Rome during Caesar’s reign (from 49 BCE until 44 BCE), you could do so by counting every head-counted Roman citizen between those two dates as a sample group and then comparing it against other known populations at the time (like how many Egyptians there were). Or perhaps you want to find out why farmers’ crops don’t grow well on their own land anymore; this would require surveying individual farms over time while noting changes in crop yields over time—and then quantifying these results using statistical methods such as regression analysis or ANOVA testing procedures!
Beyond the “Yes” or “No”
Quantitative methods can be used in a variety of ways, beyond the yes or no response. For example:
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To find out how many people are interested in a product or service.
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To estimate how much demand for something will increase over time (e.g., what percentage of customers will buy more products when they get lower prices).
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To determine whether two different products are substitutes for each other and thus interchangeable within an industry (and thus also should be priced at the same level).
Science, Medicine, and Engineering
Quantitative methods are used in science, medicine, and engineering. They can be used to analyze data, answer questions and make predictions.
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Quantitative methods are often used when researchers want to determine how much of a substance is present in a sample or how much difference there is between two samples with different amounts of a substance. For example: if you were making cookies and wanted to know what percentage of sugar was in each batch of cookies (you’d use this information when baking), you’d need to measure the amount of sugar that was in each batch with a precision scale (a tool for measuring small amounts).
There are a lot of ways to analyze data.
There are a lot of ways to analyze data. Quantitative analysis is a method of finding answers to questions, making decisions, and understanding the world. It’s also a way to understand people and their behaviors. Many methods can be used in quantitative analysis; these include:
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Data collection – collecting data about something that exists or is happening
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Data manipulation – transforming raw data into something useful for analysis such as adding columns or removing outliers (data points that don’t fit within the normal range) from your dataset
Conclusion
The world is full of questions. Moreover, there is a lot of data around us, in the form of information on the environment, weather patterns and other natural phenomena. The challenge is to find answers that are relevant and useful for our society. This can be done by using quantitative methods (or at least some of them). These analytical approaches help us understand what’s going on in situations where ideas or facts may not be available because they’re not sufficiently detailed yet; they allow us see trends or relationships between variables that would otherwise go unnoticed without them; and they offer insights into human behavior which could otherwise remain hidden forever unless someone happens across an incidence like yours!
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