I'm analyzing data collected from an online cross-sectional survey, using SPSS. There's about 20 questions (and about 150 respondents) on barriers to education. Each question had a respondent rate it on a 0-5 point Likert scale. To answer my research question, "What are the difficulties in accessing education for this population," I'd like to be able to see whether one item was more often rated higher (i.e., closer to 5) in order to see whether it is more often perceived present than the other items. So far, all I can come up with would be desriptive stats analysis, looking at the mean score for each item and seeing which has the highest mean and the highest percentage of "4" or "5" scores. However, a friend suggested an ANOVA analysis to see if there is a significant difference between any of the items. I didn't think that was possible because none of the items have a normal distribution, and technically they're not independent since the same respondents answered for each and every item. Am I missing something, or can anyone think of a different analysis I could do to answer my question? Apologies if this is naive or I'm missing something obvious, I'm a student and relatively new to this.