According to Houser (2018), nominal and ordinal level data are not subject to mathematical calculations, and “numbers given to these data are strictly for showing membership in a category” (Houser, 2018, p. 292). Nominal data only shows that one or something belongings to a certain category. Example would be labeling patient population as male or female. Categories can be given numbers as Males=1 and Females=2, but numbers can’t be ranked nor do they have mathematical meaning.Ordinal data helps us to identify something as less or more, but “because the level of measure is still categorical, the exact level of difference cannot be identified” (Houser, 2018, p. 292). Examples of ordinal data would be answers to the question such as “How satisfied are you with the nursing care provided?” Predetermined answers such as; not satisfied, satisfied, and very satisfied can be labeled as: 1, 2 and 3. We can conclude that 3 is better than 2, 2 is better than 1, but we can’t determine how much better. The ordinal data can be ranked but not qualified.Houser (2018) states that “interval and ratio are recorded on a continuous scale that has equal intervals between all entries” and “data collected on interval or ratio levels result in numbers that can be subjected to many mathematical procedures, including mean, standard deviation, variance, and evaluation of the distribution (Houser, 2018, p.292)”. Example of interval data would be measuring patients’ temperature. The interval between each degree is constant, can be ranked and provides numerical data that can be qualified. The example of ratio level data could be length of walk CABAG patients take on each post-operative day. Unit of measure is numeric, it has exact order, and difference between each value is known and constant. Difference between 10-20 feet is same as difference between 20-30 feet, and so on. Collected data is numerical and tells us not only that 30 feet is longer than 20 feet, but that difference between two is 10 feet. Numerical data collected can be used to calculate in example relationship between length of walks and number of hospital days, or length of walks and frequency of post-operative complications such as pneumonia or DVT.AngelaResources:Houser, J. (2018). Nursing research: Reading, using, and creating evidence (4th ed.). Burlington, MA: Jones & Bartlett Learning.
We offer the best custom paper writing services. We have done this question before, we can also do it for you.
- 100% non-plagiarized Papers
- 24/7 /365 Service Available
- Affordable Prices
- Any Paper, Urgency, and Subject
- Will complete your papers in 6 hours
- On-time Delivery
- Money-back and Privacy guarantees
- Unlimited Amendments upon request
- Satisfaction guarantee
How It Works
- Click on the “Place Your Order” tab at the top menu or “Order Now” icon at the bottom and a new page will appear with an order form to be filled.
- Fill in your paper’s requirements in the "PAPER DETAILS" section.
- Fill in your paper’s academic level, deadline, and the required number of pages from the drop-down menus.
- Click “CREATE ACCOUNT & SIGN IN” to enter your registration details and get an account with us for record-keeping and then, click on “PROCEED TO CHECKOUT” at the bottom of the page.
- From there, the payment sections will show, follow the guided payment process and your order will be available for our writing team to work on it.