Semantic Measures: Using Natural Language Processing to Measure, Differentiate, and Describe Psychological Constructs
APA
Kjell, O. N. E., Kjell, K., Garcia, D., & Sikström, S. (2018). Semantic Measures: Using Natural Language Processing to Measure, Differentiate, and Describe Psychological Constructs. Psychological Methods. https://doi.org/10.1037/met0000191
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@article{kjell2018semantic,
title = {{Semantic Measures: Using Natural Language Processing to Measure, Differentiate, and Describe Psychological Constructs}},
author = {Oscar N. E. Kjell and Katarina Kjell and Danilo Garcia and Sverker Sikström},
year = {2018},
journal = {Psychological Methods},
doi = {10.1037/met0000191},
url = {https://doi.org/10.1037/met0000191}
}
Abstract
This paper presents a novel approach using natural language processing for quantifying open-ended responses to measure psychological constructs. Comparing semantic measures to traditional numerical scales across nine studies (N=92–854), results indicate competitive or superior validity and reliability. Semantic measures complement traditional approaches by quantifying nuanced, natural language expressions, improving ecological and face validity in psychological assessments.
