Evaluating Item Content and Scale Characteristics Using a Pretrained Neural Network Model

Multi-item scales are widely used in social research. The psychometric characteristics of a scale and the successful use of a scale in research depend in part on item wording. This article demonstrates a method for using natural language processing (NLP) tools to assist with the item development pr...

Full description

Saved in:

Bibliographic Details
Main Authors:	Jeffrey Stanton, Angela Ramnarine-Rieks, Yisi Sang
Format:	Article
Language:	English
Published:	European Survey Research Association 2024-08-01
Series:	Survey Research Methods
Subjects:	Cronbach’s alpha Answer behavior, Emotion prediction, Microphone, Natural Language Processing, Open-ended questions, Smartphone, Voice recordings Neural network rating scale
Online Access:	https://ojs.ub.uni-konstanz.de/srm/article/view/8240
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

Evaluating Item Content and Scale Characteristics Using a Pretrained Neural Network Model

Similar Items