Reddit reviews Categorical Data Analysis

Recommendation - don't learn statistics through "statistics for biology/ecology".

Go straight to statistics texts, the applied ones aren't that hard and they usually have fewer of the lost-in-translation errors (e.g. the abuse of p-values in all of biology).

Try Gelman and Hill -

http://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X/ref=sr_1_1?ie=UTF8&qid=1427768688&sr=8-1&keywords=gelman+hill

Faraway - Practical Regression and Anova using (free)

http://cran.r-project.org/doc/contrib/Faraway-PRA.pdf

Categorical data analysis

http://www.amazon.com/Categorical-Data-Analysis-Alan-Agresti/dp/0470463635/ref=sr_1_1?ie=UTF8&qid=1427768746&sr=8-1&keywords=categorical+data+analysis

You have ordinal categorical data. I would suggest building a straightforward regression model (like an ordinal logit model). Check out Categorical Data Analysis by Agresti for more detailed information.

You may also want to treat the hour of the day as a "circular predictor".

Since your data is a Likert scale, as other commenters have said, you can simply take the average to turn your response variable from an ordinal category to a continuous response. However, this changes what interpretations you can make, so it's not always the best policy. Nevertheless, it's not a bad place to start.

You have an ordered categorical (Likert) response variable and one quantitative predictor variable? You need to read up on ordered categorical data analysis. There are discussions of this in Agresti and in Venables and Ripley and, of course, lots of other places.