Given a dataset where 4500 reviews of consumer goods, provided via a 5 star rating system, have the following distribution:
18% between 1 and 3 stars
82% between 4 and 5 stars
Is it "right" to think that under similar conditions (i.e. same type and selection of goods) a binary rating system could yield similar results (18% thumbs down and 82% thumbs up) but with the advantage for the users to take less time to rate?
I assume that a binary rating system is quicker to use in comparison to 5 item-scale as mentioned here: Why would Netflix switch from its five-star rating system to a like/dislike system?