Nominal, ordinal, interval and ratio data: How to Remember the differences
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- Опубликовано: 21 авг 2024
- Learn the difference between Nominal, ordinal, interval and ratio data. youstudynursing...
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Quantitative researchers measure variables to answer their research question.
The level of measurement that is used to measure a variable has a significant impact on the type of tests researchers can do with their data and therefore the conclusions they can come to. The higher the level of measurement the more statistical tests that can be run with the data. That is why it is best to use the highest level of measurement possible when collecting information.
In this video nominal, ordinal, interval and ratio levels of data will be described in order from the lowest level to the highest level of measurement. By the end of this video you should be able to identify the level of measurement being used in a study. You will also be familiar with types of tests that can be done with each level.
To remember these levels of measurement in order use the acronym NOIR or noir.
The nominal level of measurement is the lowest level. Variables in a study are placed into mutually exclusive categories. Each category has a criteria that a variable either has or does not have. There is no natural order to these categories.
The categories may be assigned numbers but the numbers have no meaning because they are simply labels. For example, if we categorize people by hair color people with brown hair do not have more or less of this characteristic than those with blonde hair.
Nominal sounds like name so it is easy to remember that at a nominal level you are simply naming categories.
Sometimes researchers refer to nominal data as categorical or qualitative because it is not numerical.
Ordinal data is also considered categorical. The difference between nominal and ordinal data is that the categories have a natural order to them. You can remember that because ordinal sounds like order.
While there is an order, it is also unknown how much distance is between each category.
Values in an ordinal scale simply express an order.
All nominal level tests can be run on ordinal data.
Since there is an order to the categories the numbers assigned to each category can be compared in limited ways beyond nominal level tests. It is possible to say that members of one category have more of something than the members of a lower ranked category. However, you do not know how much more of that thing they have because the difference cannot be measured.
To determine central tendency the categories can be placed in order and a median can now be calculated in addition to the mode.
Since the distance between each category cannot be measured the types of statistical tests that can be used on this data are still quite limited. For example, the mean or average of ordinal data cannot be calculated because the difference between values on the scale is not known.
Interval level data is ordered like ordinal data but the intervals between each value are known and equal. The zero point is arbitrary. Zero simply represents an additional point of measurement.
For example, tests in school are interval level measurements of student knowledge. If you scored a zero on a math test it does not mean you have no knowledge. Yet, the difference between a 79 and 80 on the test is measurable and equal to the difference between an 80 and an 81.
If you know that the word interval means space in between it makes remembering what makes this level of measurement different easy.
Ratio measurement is the highest level possible for data. Like interval data, Ratio data is ordered, with known and measurable intervals between each value. What differentiates it from interval level data is that the zero is absolute. The zero occurs naturally and signifies the absence of the characteristic being measured. Remember that Ratio ends in an o therefore there is a zero.
Typically this level of measurement is only possible with physical measurements like height, weight and length.
Any statistical tests can be used with ratio level data as long as it fits with the study question and design.
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THANK YOU I LOVE YOU. I WAS READING FOR AN HOUR THEN I FOUND YOUR VIDEO AND IT ONLY TOOK ME 10 MINS TO UNDERSTAND. YOUR THE BEST
I'm happy it helped :)
I suck at absorbing information off of a book - i hear someone talk about it or i see visuals and examples and i get it 10 times faster 😂😂
You are welcome. I will be making more :)
I have some others if you check out my channel.
I'm still confused with ordinal...
So if I were to conduct a survey with ordinal questions and lets says the products are apple, orange and mango
Should the ordinal be ranking which is the best fruit in order from top to bottom?
Or giving them a rating like out of 10?
Please reply as I'm begging for help
your product is fruit so it is categorical and be classified as nominal (unranked) because it is in the group and the number lets said 1=apple, 2=orange,3=mango, 1,2, 3 are the numbers which represent as the labels (order arbitrary/no meaning).
This was SO well put together and so well explained. You've just summed up YEARS of studying to understand all this...
That is good to hear. Thank you!
Thank you!! I got a 100% on my behavioral stats test because on you!!
where is your video on dependent and independent variables?
Loving that a nurse is explaining stats so clearly and so helpful for others.
Glad it was helpful!
I suck at remembering things, and for my "Data-driven Design and Development" course for my MSc in IT, I had to memorize these. You helped a lot! You're not just helping nurses here :)
I am happy it helped. I already have a video about independent and dependent variables and how to differentiate between the two. Have you seen "Independent, Dependent and Confounding Variables in Quantitative Research"?
I get a very wonderful concept about the measurement scales....thank you very much NurseKillam
+Muhammad Ishfaq you are welcome
Thank you NurseKillam for all your help this video practically saved my life.
Thank you! I will watch that now! I really like how you mapped out and tabled the different concepts.
Thank you so much, Finally I understand everything completely about scale of measurement.
I am a senior^65 yr old) nurse, having decided to obtain my BSN after 35 years as ADN I want to thank you for this wonderfully created video, I feel so much better prepared for my class.
Thank you!! way better than my tenure professor explained it!
Thanks. I'm happy it helped.
The BEST video on this topic.
Absolutely Incredible!!
I am so glad I watched this you were able to explain this to where my "lightbulb" finally lit up-I have been studying this mercifully for a biostatistics exam on Wednesday and I appreciate your guidance more than you will ever know!!!
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Awesome explanation! Having knowledge is good but knowing how to transmit is even more important.
This is fantastic! I'm a first year Psych undergrad, and none of the resources I PAID FOR were as helpful as this! Thanks so much for making it :)
I'm so happy you liked it. I'm happy it helped.
Best video in the RUclips for this particular topic.. most of them confused me diff bw interval and ration.. but she gave an excellent explanation... Thank you mam..
after reading my stats book, attending lecture and lab. this video helped explain this sooooo much better!
thanks so much, I finally understood these terms, having dyspraxia makes studying stats without an easy to follow description really hard, thanks again, I look forward to checking out your other videos
Thank you, thank you, thank you. Statistics is not my strong suit at all. I was stumped trying to understand the difference between ordinal data and interval data. Thanks to you, I got it! thank you!
Thank you so much! You are literally a savior. In class, my teacher was going over this and made me extremely confused. This is MUCH clearer!
Your welcome!
You are the best teacher there is in the world. Thank you.
Beautiful! That was brilliantly explained! Very clear, very crisp!
Thank very much for the video. I had hard challenges in understanding variables but this presentation has broaden my understanding of variables.
Thank you for explaining this in a simple way.
This is so incredibly helpful for college students who need a general understanding. My professor made this complicated. You made it simple. Bravo.
Thank you. Simplicity is my goal.
You are God sent! I have gotten to my last class for my masters degree when I have realized from this video that my entire research project is WRONG. I have been using the wrong test because my data for measured incorrectly. THANK YOU!. I have one day to fix all of this. Luckily my data set is small.
I'm happy it helped :)
Hopefully your thesis supervisor can help you make sure you are using the right test
as a teacher I give you my highest praise. Beautifull! I love it. So clear, so informative. I'll translate is for my kids (Highschool in Holland)
Thank you! I'm happy you like it. (And I love Holland. That's where my grandpa was from) :)
Such a beautiful and soothing voice, lmao I almost slept watching it. Thanks a million
Howdy, I am in Montreal and just woke up at 330am to study for a midterm. The N-Name, O-Order examples really helped. Merci!
Awesome. Good luck!
Thank you for this. I was looking for a review on this topic for my Psychology Quantitative Research Methods students when I have to be away from class. This fits the bill very well!
One note: In personality psychology and many areas of social and behavioral sciences, we treat Likert-scaled data as interval data, but with the caveat that scales are made up of multiple items, not just one like the pain scale and that data are checked for normality. Some researchers have done comparisons by running the data both ways and have not found any meaningful differences.
Brilliant delivery of this information, it was a pleasure to watch it and learn these concepts in such a straightforward explanation, Thank you
honestly, the best video ever to understand this
This VDO helped to gain better ideas & conception on NOIR. Good work :-)
watching this as part of my exam study. this was explained a lot better than my professor did!
I am happy you found it useful!
This is very informative. I love the way you summarize the concepts in the scale of measurements
+Moses Etyang thank you
thank you for your accurate and vibrant lecture.
it will help me complete my exit paper for applied research II.
That is great to hear! Thanks for the feedback :)
Thank you very much for this video! Trying to read through the differences was confusing in the textbook so having it explained so clearly was so helpful!
Extremely useful and top notch production value. Can't believe this is a free resource, thank you so much!
You are welcome. :)
OMG!!! DO YOU KNOW THAT YOU JUST SAVED MY LIFE!! You are a miracle worker, I mean it was so simple and easy the way you described it. I wish that that I could do something more than just praise your work
Thank you! You could tell your friends about me and let me know what other topics would help you out :)
Will do
So far this has been the most simplistic and easy to comprehend video on these topics! Thank you :)
+Alyssa Washington that's good to hear. That was my goal :)
This will make my presentation so much more easier........thank you NurseKillam
+JKM kilonzo good to hear. You are welcome
great explanation. my professor should learn from you.
Statistics makes a lot more sense now - Thank you!!
Awesome to hear!
Very helpful! Love the learning mnemonic devices.
Yay! This is a great explanation and definitely helped me understand the concepts better! How would you explain moderating and mediating variables?
Thank you so much for the explanation. Very cohesive and clear.
You explained this so well. I will be able to do wonderfully on a quiz.
Video was VERY helpful
Would like to see an explanation between independent and dependent variables and how to differentiate between the two.
I am happy it helped. Have you seen my video here ruclips.net/video/mFIvsqVir48/видео.html
Thank you for simplifying these levels of measurement plus i find this video really informative. I am still on clear on how to combine all the 4 levels of measurement in my questionnaire, as my research involves the use of surveys, interview and questionnaire.
Excellent Video. Crisp, Concise and Clear. Too Good.
Reading few chapters of book VS Just Enjoying this video.
I prefer the video option ... Makes learning more visual for some and even lets you listen while you do other things. I'm happy you liked it.
Really Helpful Video. Now i Begin to Understand it Finally.
This was incredibly helpful!!!!! Thank you so much!
You are welcome.
so much more clearer than my statistics professor
Thank you this helped a lot
Looking for scale evaluation
you are awesome NurseKillam! I love all your videos - they are very clear, easy to understand and very helpful!!! Your voice is soothing to listen to also...
+Jaelyn Rodriguez Thanks. I am glad you liked them. :)
Amazing how you presented the difference. So easy to understand.
you are waaaay better than my stat teachers!
This is the best summary of scales of measurement I have ever come across well DONE your clear succinct presentation style and logical flow is formula perfect! .............truely a work of Art! thx so much for posting!
+Luke o'mahoney thank you for your kind comments :)
I like how she put 0 = female before male! Love it
Thank you, this is by far the best explanations I have seen
Your video is so easy to understand! Thank you!
This was great (I wish I had known about this when we started learning about levels of measurement in class)! I would like to see a video done on the different statistical analysis tests (bivariate and multivariate), such as one on the t-test and the chi-square test.
+Sorieyn I am happy it helped. Yes, that is a good video to do! I will try to get to that soon. It has been a while since I have made a video because we recently moved and my computer isn't well set up yet ... plus I am having a baby soon. So I have been working on a book but even that is slow because I have been busy teaching. I have put that idea on my priority list :)
Yes, I really like all of the animations because it gives me just another related picture that I can pull from memory when I'm studying this topic. You're a pretty good teacher!
Amazing thoughtful presentation! Thanks Killam!
This really helped bring some clarifications. Thank you!
Pretty good video! Thanks for sharing. Just one small point that confuse me. You have time under two levels. Does this mean that some variables can be on more than one level? Or is time being using for date on one level and duration on another level?
wow the part when thinking if its nominal,ordinal,interval or ratio was interesting and helpful, well this video is helpful.
Kim Villanueva wow so nice video am glad to have a clear understanding on this intro part
Thank you! Way better than the stat book I have. I Like the NOIR acronym and all the examples you gave. Thank you!!!!
Great cleared that up for me straight away. you're a lady and scholar madam.
Ashley Simmonds Thank you. I am happy to hear it was clear :)
Thank you @NurseKillam it was really very helpful and particular with appropriate explanation
Wow this video is very thorough and concise! This is a rare and welcome combination! Outstanding!
Thank you 😊
Thank you for taking the time to create this video. It was very helpful!
Good to hear. I'm happy you liked it.
Thank you so much, this video helped me a lot!
I have only one question left to this part:
"For example, tests in school are interval level measurements of student knowledge. If you scored a zero on a math test it does not mean you have no knowledge."
Couldn't I make a comparaion with the results and data therefore would be ratio data?
-> A result with 60 points is twice as good as score with 30 points?
Yes, but there is no absolute zero. People often treat interval data like ratio data. A score of 60 points also does not mean that that person knows twice as much as one with a score of 30 points. I think we just need to be careful how we interpret the data.
This is the best descriptive tutorial I've seen to date. Thank you & Warm Regards,
Thank you! I'm happy it was helpful :)
Thank you for your video. It has helped me more than my college professor.
It has helped me to prepare for my exams, thanks alot
Your welcome. I'm so happy it helped.
Simple and effective. Great info.
Thank you very much for such a nice explanation of data types and their levels.
Thank teacher NurseKillam, your video is very useful.
Good to hear. You are welcome.
Thanks for simplifying the concept to make understand
OMG! You teach better than my stats prof! Thank you veryyyy much! This is a great video!
Not only you teach greatly, your speaking is not monotone or boring! I can sit through easily! Thanks again! This is better than going to my lectures! Very helpful!
Thank you NurseKillam, very helpful video for review. Good job.
Excellent brakedown of this information. Thank you and I hope to run into more videos like yours.
+Scott Smith Thank you. I have a few more you might like on my channel. Is there anything in particular you are looking for?
No I found what I was looking for. Thanks
more than thanks a lot!
i've never understood them as clear as now.
I'm happy to hear it. Thanks for letting me know.
Hi Nurse Killam. Nice video. Wonderful ways of using tactics to remember.
+Bimal David thank you. It means a lot :)
Thank you so much for posting this video. It easy to understand and the visual charts simple and extremely helpful! Thnx
Excellent video....very detailed and the best I have come across on this topic. The flowchart for identifying the type of scale is very good. Keep up the good work.
Thank you!
excellent video, thank you so much. I understand a lot more now.
Awesome. Thanks for the feedback.
So easily explained! Glad I found your channel
Excellent, crystal clear explanation. Thank you very much.
You are welcome.
Great material... Doing some basic stats review and this resource is invaluable. Thank you!
Awesome! Good luck with the review
useful and thorough knowledge inside this video
Thanks so much
I really appreciate !
you are better than our pro. ! he taught us nothing compared to you !!!!!!
I'm happy it helped
Me too 😃😃
really helpful I really want to say thanks for your voluntary work
You are welcome
This is exactly what i was looking for. Thank you for your help.
+Demicke Bennett good to hear. Thanks for letting me know.
Possible suggestion may include the addition of a Fahrenheit or Celsius symbol with regard to the temperature analogy, as 0 degrees Kelvin does not comply with the example provided. Other than that, great video!
thank you. I really appreciate your explanation.
Survey has two likert scale ordinal data questionnaire (“1=strongly disagree” to “5=strongly agree”)
1. Training program helps in knowledge transfer
2. Mentoring allows more experienced employees to transfer their knowledge to the newer employees
Please advise what analysis to apply to find out whether training program or mentoring is more effective?
That depends on the context. Look for something that is appropriate for ordinal data. A starting point may be the slide at 9:20 in this video.
This was excellent!!! Thank you so much. I feel much better going into my exam tomorrow.
Awesome! Good luck :)
Very thoroughly explained!! Thanks a lot!