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

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...

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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
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https://ojs.ub.uni-konstanz.de/srm/article/view/8240

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