# Comparing Likert Data

I have several 5-item likert scales and would like to compare the results between different surveys.

Is there any logical way to score the likert results and compare? Averages don't seem to capture any differences, especially with the restrictive 1-5 scale.

Ideally, I would like a metric that represents the relative standing of the particular survey's likert results within the population of surveys either by question or overall.

Ex.: following table shows avgs by question; I also have individual data so some sort of ANOVA could be used as well.

╔══════════╤═════╤═════╤═════╤═════╤═════╗
║ Question │ S1  │ S2  │ S3  │ S4  │ S5  ║
╠══════════╪═════╪═════╪═════╪═════╪═════╣
║ Q1.avg   │ 3.1 │ 2.2 │ 4.4 │ 5.0 │ 4.6 ║
╟──────────┼─────┼─────┼─────┼─────┼─────╢
║ Q2.avg   │ 2.6 │ 4.8 │ 4.5 │ 3.1 │ 2.2 ║
╟──────────┼─────┼─────┼─────┼─────┼─────╢
║ Q3.avg   │ 2.7 │ 1.1 │ 2.9 │ 2.6 │ 4.4 ║
╟──────────┼─────┼─────┼─────┼─────┼─────╢
║ Q4.avg   │ 3.9 │ 3.3 │ 3.9 │ 3.7 │ 4.1 ║
╟──────────┼─────┼─────┼─────┼─────┼─────╢
║ Q5.avg   │ 4.3 │ 2.8 │ 4.2 │ 1.7 │ 3.6 ║
╚══════════╧═════╧═════╧═════╧═════╧═════╝