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I do say in the post that "Any questions you cant answer or don't want to answer just leave blank".
The the thing is it is not my questionnaire and conveniently for me it has been standardized. So it has been tested in large populations and replicated a number of times.
More importantly the people who made it went to some effort validating (making sure it measured what they think it measures). These are quite impressive feats for what I'am trying to measure (If you are interested I can send a private message about what that is).
However saying that i appreciate the feedback. It may end up my sample is not representative and I am missing the interesting participants (one to discuss).
I am interested in how the presence of eyes affect the social desirability bias (a tricky topic). I am using the impression management of the scale as a control. Trials are also counter balanced with eyes and lips.
By testing the reliability it means that the scale works in different populations and you get the same results if you repeat the test. An important asset to any measure.
Is that some weird kind of jargon they use?
What that really means is that it generates the same good/bad results in different populations. It certainly doesn't tell you that the results are right or useful.