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Hey hi everyone I'm doing this video as a follow-up to my video on questionnaire data entry in SPSS I would have never guessed that that video would be my number one popular video of all my videos I guess once we've entered that data we go our separate ways but because of its popularity I've decided to do a follow-up video which I address the common questions an ostomy in the latest session I had with my students reading briefly ordinal variables go from a scale of 1 to 7 can I treat it as scale okay let's dress address that one alright this question has also been asked on the YouTube so let's give you an example first what that means I've got this data set okay massive data set, so it might your data might look like something like this after data entry and yeah let's have a look, so I've got here level of education of father, so it goes from primary education basic secondary vocational blah blonde is quite well in this case go to the scale of what other up to 6 ok now so this is ordinal because there is an ordering of the data here it's a number as the numbers increase it means that they've got higher level of education, but it's ordinal the thing is when you have an ordinal variable ordinal variables bit like a jekyll-and-hyde thing, so it can take on sometimes it takes on it can act more like a categorical variable, and sometimes it can be used as a continuous variable it really depends as to all my students all depends on what type of analysis you want to do how's it going to enter your analysis in regression if you're going to eat if you have it on the variable you want to use as a dependent variable and the ordinal variable has a long scale say 5 or greater than 5 you can pretty much treat it as scale all right in other words continuous and if you need a bit more information we can treat is what I call interval variable interval type okay so basically the longer the scale the more kind of acceptable is to be able to treat as continuous if we want to use it in regression as an explanatory variable it's still the same so the longer the scale is the more kind of reasonable is to treat it as something that's scale however if you've got something which has got a long scale, so you've got a Likert scale from 1 to 7 or even 1 to 10 it's plausible that you will have maybe many values which take very small number of other observations in other words P you get many boxes which are not ticked because your scale is so long you can imagine if you got scale from 1 to 10 a lot of people might take close to 1 or high values that 8 9 10 but miss out the middle values so in that case if you're using it as a regression it's still fine but if you're trying to do it use it to do something like cross tabs you're going to find that that's not going to be fine and in cross tabs of course since cross tabs deals with a categorical data, so you've got no choice here you can't treat it's continuous, and you've got many boxes which are not ticked you're going too...
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