If you are dealing with scales, you are mainly interested in what is common among the set of items that are designed to fit that construct. So you would use the principal axes form of factor analysis not principal components which tries to account for the common and unique variance.

• Where did the scales and Items come from?
• If these are well established scales the main use of a factor analysis is to check the scoring key.
• What did you use for stopping rule? I.e., how did you decide how many factors to retain?
• Did you use varimax rotation?
• Did that item load cleanly on the wrong factor, or did it split with the factor you thought it belonged on?
• Is your group of respondents much different from the group(s) the scales were originally  established on?
• How many respondents do you have? Did the scale developers have large sets of respondents?
  

Art Kendall, Social Research Consultants

I did not get the original post, but I have no idea what the OP is trying to accomplish. Is there a single construct the OP believes these five questions are intended to measure? And what about the "DV"? Does the OP believe this construct is associated with the "DV"?  



Want to evaluate the psychometric properties? You could employ Classical Test Theory methods or Item Response Theory methods. I am almost always in the favor of the latter because it allows one to perform a more refined analysis (e.g., careful evaluation of thresholds between adjacent response option categories). Moreover, studies have shown that IRT measurement models may result in more sensitive measures of the construct than raw scores in statistical testing.




Side note: It isn't clear to me how the original post is connected to SPSS. It's always helpful if posts can be tied to SPSS in some fashion so as not to go too far afield.

the questions are based on self administered questionnaires. My supervisor asked to use factor analysis to reduce the number of items in the  questionnaire.

I want to retain all of the 5 factors if possible. Yes, I used the varimax solution as well. Some of the items have higher loading score on the component it does not belong on. (eg: one variables for 5 questions, 3 of them have high loading (>0.5)  in component 2, while 2 of them have high loading in component 3. and I have 1 variable that have only 1 question is greater than 0.5.

I have a total  of 254 respondents in my research.