I really like the way you explain, yes it can be confusing for students when the lectures/training materials highlight the importance of NOIR(nominal, ordinal, interval, and ratio) but SPSS recognizes IR as a scale. Thanks for highlighting this.
This is another one that aligns well with the reading. It's really easy to see how this is useful when using assessments, especially if you're using them for research.
This video is a useful tool for those who are visual learners and have difficulty distinguishing between the levels of measurement. Overall, a helpful refresher
The video was an informative explanation for understanding the levels of measurements. The explanation of the nominal (types of groups), ordinal (ranked data) and scale (level of functioning) was easy to follow and understand.
I found this video very helpful. I tend to sometimes get confused about the different levels of measurement so in the future this would be a great video to reference. I found it very interesting as to how SPSS recognizes the different levels of measurement.
This was a good explanation of the levels of measurement that was talked about earlier. I can see the importance in knowing if there is an equal interval between two points. Also, it was the first time I was able to see interval and ration referred to as scale instead of two different levels of measurement.
Again, I appreciate the review of levels of measurements. This time in SPSS I can see the small differences between Excel and SPSS with these concepts.
+Melissa Clendaniel Good example of the 4 different levels of measurement. I am still confused on figuring out the different intervals between each level, but I hope that that we will cover some of this in class. I'm still confused on how to figure out the different intervals of distance between each answer but I do have a general understanding of the main purpose of this instrument.
+Melissa Clendaniel Good example of the 4 different levels of measurement. I am still confused on figuring out the different intervals between each level, but I hope that that we will cover some of this in class. I'm still confused on how to figure out the different intervals of distance between each answer but I do have a general understanding of the main purpose of this instrument.
This was very neat to see how nominal and ordinal scales are displayed in SPSS. The levels of measurements nominal and ordinal are only recognized in SPSS as 2 levels of measurements which I thought was interesting.
This video helped to understand the ordinal level of measurement a little more. It makes more since to me now that an equal distance between points cannot be established, only ranked.
+Candace Fernandez I agree! I'm really not familiar with SPSS but took away from this video that the measurements are not automatically assigned and that "scale" represents both interval and ratio level measurements.
+Candace Fernandez I agree. I sometimes have a hard time with SPSS because it is a little more complicated but I thought this video was very easy to follow which allowed me to better understand the different levels of measurement and how SPSS recognizes them.
I found it interesting that SPSS does not recognize ratio or interview separately, but as scale. This video was also useful in understanding the different levels of measurement and associated variables.
I appreciated the recap of the various levels of measurement. Although it is a concept that is not unfamiliar to me, I always struggle to keep the different levels straight when they are not in front of me.
This video was helpful because I did not know that SPSS recognizes three levels of measurement as nominal, ordinal, and scale instead of nominal, ordinal, interval, and ratio.
For some reason I have always had a hard time keeping the levels of measurement stright in my head. I thought this video was an excelelnet review. i also liked the review of how to put each level into SPSS as that can get very tricky.
Very good informative video on the levels of measurement, it was a little more difficult than the last video to follow, but it is still a great resource for the future.
If I load a CSV file, having my data into the SPSS, do I still need to recode the values in the variable view sheet? For example, I changed the data type during data loading to its fit type (Numeric (scale) and other as String (Nominal), and their values are labeled as "None" when I checked the variable view sheet! Should I recode that as well under the variable view sheet? Thank you for your help in advance!
Hello Dr. Grande, I have a question. What about for example a top 3 question? I have used the the following question in my survey: “Which content type do you find most appealing when looking for info on exchange trips?” Respondents should make a top 3 out of several content type (blogs, review, testimonial, video, etc.) and as values I have used: 1 = first choice, 2 = second choice, and 3 = third choice. Would this be ordinal or scale?
It was helpful to see how the levels of measurement are used in SPSS as I often have a difficult time differentiating between them when simply reading about them in a textbook
Very helpful video! it was interesting that the construct of functioning doesn't have a true zero. it makes sense though because a client has to function at some level
Thank you for your video(s). If you compute a new variable by the mean of several ordinal variables (as or example here, strongly disagree to strongly agree). will the mean variable will also be a scale, because it is a continuous variable?
Very good review on the levels of measurement. I still think that Excel is much more easier to follow than SPSS. But if I ever needed to use SPSS, then I'll definitely go back to this video to help guide me.
I defined values for my nominal data, but am having trouble displaying information on my analysis. My graphs are still displaying “1” and “2” instead of the labels I have assigned them. Any thing I can use to troubleshoot?
I have a question Dr. Grande. Can I use chi square test for ordinal and nominal data? Or can I change an ordinal scale into a nominal scale? Thank you!
I liked the review of the levels of measurements. I thought it was weird that SPSS combines interval and ratio into scale. That was interesting for me to learn.
I appreciated the review of the levels of measurement. I easily confuse them. I also liked how Dr. Grande explained the concept of scale, which was in another video, and I was unsure of what it was referring to.
I feel like I need a better understanding as to why interval and ratio are placed under the same category. I understand they are both looked at as scale but why? Is that just how SPSS functions?
Depending on the type of the scales, respective treatment can be given to those variables. There are four types but SPSS on recognizes three scale, nominal, ordinal.
Interestingly, SPSS does not require that one differentiates between interval and ratio scale (because they are both quantitative), but it does put pressure on the researcher to use the right test/assessment and to pay attention to calculations unit by unit.
I agree, this was an interesting video. I appreciated that Dr. Grande went over how the SPSS only acknowledges nominal, ordinal, and scale. I wasn't aware that all of these functions could be utilized this way but it is helpful to gain a better understanding of these concepts.
thank you for the video . please if we have for example in age less than 20 20to 26 more than 27 are we supposed to classify age in this case as ordinal ? thanks in adv
It thought it was interesting that SPSS doesn't recognize a difference between ration and interval -- they're both referred to as "scale." The data could represent interval or ration levels of measurement though. For example, when measuring function, there is no absolute zero (under the assumption that someone must have some level of function to take the test). However, occurrence of symptoms can have a true zero and, therefore, the scale data shown would represent a ratio level of measurement. Also a good review of nominal (categorical, no rank) and ordinal (ie Likert scale - they are ranked but we can't establish an equal interval as it is subjective to each participant).
