Comparing unique items on a Likert scale

#1
Hello everybody. I conducted a survey using 3 measures (two IVs and a DV), all Likert. I found that nobody scored highly in the DV (which was burnout), so there's probably a bias of not wanting to admit to 'bad' things!
I would like to see if certain items on the DV have more of a 'skew' where people are more likely to respond in a certain way. How can I check this?
 
#2
I would just do a linear regression with the two IV:s as independent variables (explanatory variables) and the DV as a dependent variable. This would investigate if there is a shift in the mean of the dependent variabel when one IV changes. A lot of people in published papers do it this way.

But this is controversial. Some people say that the Likert scale is just an ordinal variable and not a ratio scale so that it is incorrect to do a regression on that. But my view is that it is OK.
 
#3
I would just do a linear regression with the two IV:s as independent variables (explanatory variables) and the DV as a dependent variable. This would investigate if there is a shift in the mean of the dependent variabel when one IV changes. A lot of people in published papers do it this way.

But this is controversial. Some people say that the Likert scale is just an ordinal variable and not a ratio scale so that it is incorrect to do a regression on that. But my view is that it is OK.
Thank you very much for your reply. My study involved regression analysis anyway. But I would still like to look at individual items and see if any have a greater likelihood of having a “not bad” response. Do you know how this could be done?
 
#4
I found that nobody scored highly in the DV (which was burnout), so there's probably a bias of not wanting to admit to 'bad' things!
Please note that in statistics "bias" means parameter estimate minus populations value. (bias = sample mean - population mean). So "bias" means systematic error.

(I am not English or American. What "bias" means in the every day English language I don't know. For me "bias" is a statistical or mathematical concept.) (It might surprice you that not everybody is American.)

If you have a sample of people, you must believe that they are a representative sample of the population, and that they response as the population would do (with a sampling error and all that).

But your measurement variable does not have to correspond to an underlying latent "true" feeling of burn out.
 
#5
Please note that in statistics "bias" means parameter estimate minus populations value. (bias = sample mean - population mean). So "bias" means systematic error.

(I am not English or American. What "bias" means in the every day English language I don't know. For me "bias" is a statistical or mathematical concept.) (It might surprice you that not everybody is American.)

If you have a sample of people, you must believe that they are a representative sample of the population, and that they response as the population would do (with a sampling error and all that).

But your measurement variable does not have to correspond to an underlying latent "true" feeling of burn out.
By bias I meant response bias, specifically social desirability bias. Apologies for not being specific. I am quite aware that not everyone is an American, thank you. I myself am not an American either, nor is English my mother tongue. I don’t see why your comment was necessary.

Thank you for your initial help followed by your condescending response.
 
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ondansetron

TS Contributor
#7
By bias I meant response bias, specifically social desirability bias. Apologies for not being specific. I am quite aware that not everyone is an American, thank you. I myself am not an American either, nor is English my mother tongue. I don’t see why your comment was necessary.

Thank you for your initial help followed by your condescending response.
:eek:

Don't be too sensitive. You're asking for help, @GretaGarbo wasn't inappropriate to note the distinction.
 
#8
:eek:

Don't be too sensitive. You're asking for help, @GretaGarbo wasn't inappropriate to note the distinction.
For which I was grateful and said thank you for. However, while I fully understand the point that was made and should have specified in the first place, I do not see the need for the sarcastic comment. It’s possible to raise a point without it. For what it’s worth, I do think this forum is fantastic.
 

ondansetron

TS Contributor
#9
For which I was grateful and said thank you for. However, while I fully understand the point that was made and should have specified in the first place, I do not see the need for the sarcastic comment. It’s possible to raise a point without it. For what it’s worth, I do think this forum is fantastic.
I think we'll just have to write it off as miscommunication because I don't see a sarcastic comment. Text isn't a good medium to convey attitude and intentions.