Ordered network analysis (ONA)¶
Research Method · All research methods
Evidence · 3 claims (3 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 3 claims rest on one study
Description¶
Ordered network analysis extends epistemic network analysis by incorporating temporal ordering into network construction, "allowing edges to represent ordered transitions between codes rather than unordered co-occurrence." The article applies ONA to retrospective cued-recall affect reports from a short situated CPS task, using a moving window of 2 events, groups as units of analysis, and difference networks to compare conditions. This makes ONA suited to modeling affect dynamics where the sequence of states is as informative as their co-presence, even in small datasets where descriptive summaries treat states as independent.
Accounts¶
- Ordered network analysis (ONA) as a method for modeling directional temporal transitions among affective states in small, temporally coarse educational datasets: Ordered network analysis extends epistemic network analysis by incorporating temporal ordering into network construction, "allowing edges to represent ordered transitions between codes rather than unordered co-occurrence." The article applies ONA to retrospective cued-recall affect reports from a short situated CPS task, using a moving window of 2 events, groups as units of analysis, and difference networks to compare conditions. This makes ONA suited to modeling affect dynamics where the sequence of states is as informative as their co-presence, even in small datasets where descriptive summaries treat states as independent. (Sifatul Anindho et al. (2026))
Claims¶
- Affective experience during situated collaborative problem solving is organized around a stable epistemic core linking curiosity, optimism, and confusion with short-range persistence [+M]
- Faster CPS groups show stronger transitions among curiosity and optimism, while slower groups show stronger transitions among confusion, conflict, and frustration [+M]
- Probe-caught affect reports show stronger self-loops among core epistemic states, while self-caught reports show more distributed transitions involving higher-arousal states [+M]
Related Research Methods¶
Key Sources¶
- Sifatul Anindho, Videep Venkatesha, Jaclyn Ocumpaugh, and Nathaniel Blanchard. (2026). Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving. https://arxiv.org/abs/2607.23317
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
ordered-network-analysis-ona |
title |
Ordered network analysis (ONA) |
description |
Ordered network analysis extends epistemic network analysis by incorporating temporal ordering into network construction, "allowing edges to represent ordered transitions between codes rather than unordered co-occurrence." The article applies ONA to retrospective cued-recall affect reports from a sh |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
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