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Computational grounded theory

Research Method · All research methods
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

Computational grounded theory integrates qualitative research with computational techniques to analyze large datasets systematically for theory development, addressing grounded theory's subjective interpretation and replication difficulties. The article describes it as outlining "a three-step process to guide researchers in rubric design and application": pattern detection (unsupervised ML converts text into interpretable, data-driven categories), pattern refinement (human experts interpret and refine the data-driven categories via thematic content analysis, merging or adding categories), and pattern confirmation (computational methods such as supervised ML test reliability and generalizability). This study examines the validity of the first two steps.

Accounts

  • Computational grounded theory: a three-step framework integrating unsupervised ML pattern detection, human refinement, and quantitative confirmation for rubric development: Computational grounded theory integrates qualitative research with computational techniques to analyze large datasets systematically for theory development, addressing grounded theory's subjective interpretation and replication difficulties. The article describes it as outlining "a three-step process to guide researchers in rubric design and application": pattern detection (unsupervised ML converts text into interpretable, data-driven categories), pattern refinement (human experts interpret and refine the data-driven categories via thematic content analysis, merging or adding categories), and pattern confirmation (computational methods such as supervised ML test reliability and generalizability). This study examines the validity of the first two steps. (Martin et al. (2025))

Claims

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Key Sources

  • Martin, P. P., Kranz, D., & Graulich, N. (2025). Revealing Rubric Relations: Investigating the Interdependence of a Research-Informed and a Machine Learning-Based Rubric in Assessing Student Reasoning in Chemistry. International Journal of Artificial Intelligence in Education, 35, 1465–1503. https://doi.org/10.1007/s40593-024-00440-y
Page metadata
Field Value
type research-method
id computational-grounded-theory
title Computational grounded theory
description Computational grounded theory integrates qualitative research with computational techniques to analyze large datasets systematically for theory development, addressing grounded theory's subjective interpretation and replication difficulties.
status review
generated by process:settle-candidates on 2026-10-28
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