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SCORES: A Clustering Tool for Free-Text Responses

Luis Klocke et al.

Advances in Methods and Practices in Psychological Science (AMPPS)2026https://doi.org/10.1177/25152459261418587article
AJG 2
Weight
0.50

What the paper says

Free-text responses are a crucial part of psychological research, enabling participants to respond without bias toward a predefined set of answers. Unfortunately, many established methods for analyzing such responses require extensive manual coding, which is time- and resource-intensive. To address this issue, automatic-processing methods based on word embeddings and clustering techniques have been proposed. In this article, we introduce SCORES (Semantic Clustering of Open Responses via Embedding Similarity), a user-friendly, graphical tool that makes such automatic methods easy to use and understand for psychological researchers.

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Cite this paper

https://doi.org/https://doi.org/10.1177/25152459261418587

Or copy a formatted citation

@article{luis2026,
  title        = {{SCORES: A Clustering Tool for Free-Text Responses}},
  author       = {Luis Klocke et al.},
  journal      = {Advances in Methods and Practices in Psychological Science (AMPPS)},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/25152459261418587},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.