[疑难杂症]Is Mixed Logit Model Appropriate for Categorical Data

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

I have data from a study where subjects were shown videos and asked to identify the contents as one of two options, as well as to rate their confidence of correct classification on a likert scale of 1 to 7. Each subject was asked to perform this classification task multiple times, and given different video material each time.

I am using mixed logit because I think this data is categorical. I am encoding it as each choice situation having 14 alternatives.

That is, the subject identifies the content as type 1 or type 2 then provides a rating of their confidence from 1 to 7, so I view that as 2 * 7 = 14 alternatives of which only 1 may be given as the answer.

Does this seem a reasonable approach? Or is this an inappropriate way to use mixed logit estimation?

I'm new to discrete choice methods, and my general statistical knowledge is rusty, so I welcome reading recommendations. Thanks very much for your time!

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：Categorical appropriate model Mixed logit different situation subjects contents identify

这是问问题吗？