Data sessions and multiple experienced analysts for intersubjective validation¶
Research Method · All research methods
Evidence · no claims cited
Description¶
Stahl proposes data sessions—involving multiple analysts reviewing the same data—as a mechanism for guarding against bias and idiosyncrasy in EM case analysis. Because the accountability of discourse makes it intersubjectively understandable, analysts sharing cultural understanding with participants can reach consensus on the meaning displayed. Detailed transcripts are published to allow reader validation.
Accounts¶
- Validate interaction analyses through data sessions and multiple experienced analysts: Stahl proposes data sessions—involving multiple analysts reviewing the same data—as a mechanism for guarding against bias and idiosyncrasy in EM case analysis. Because the accountability of discourse makes it intersubjectively understandable, analysts sharing cultural understanding with participants can reach consensus on the meaning displayed. Detailed transcripts are published to allow reader validation. (Gerry Stahl (2012))
Claims¶
Related Research Methods¶
Key Sources¶
- Gerry Stahl. (2012). Ethnomethodologically informed. Computer-Supported Collaborative Learning 7:1–10. https://doi.org/10.1007/s11412-012-9142-3
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
data-sessions-and-multiple-experienced-analysts-for-intersubjective-validation |
title |
Data sessions and multiple experienced analysts for intersubjective validation |
description |
Stahl proposes data sessions—involving multiple analysts reviewing the same data—as a mechanism for guarding against bias and idiosyncrasy in EM case analysis. |
status |
review |
generated |
by process:settle-candidates on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
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