Claims

Community and Questions codes most strongly separated the four groups, especially Group A from the others

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2009 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? In a two-way analysis of main code frequencies, Community and Questions were very effective in separating the groups, especially Group A from the other groups. → Jan van Aalst 2009

Evidence

Jan van Aalst 2009

Jan van Aalst. (2009). Distinguishing knowledge-sharing, knowledge-construction, and knowledge-creation discourses. Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-009-9069-5

q2 · i? · qualitative · r2

Chi-square analysis of main code frequencies (Table 5) using Cohen's guidelines to arrange codes by effect size. Community and Questions both reached p < .001 and were described as "very effective in separating the groups"; no standardized effect size is quoted in the supporting sentence.

"Accordingly, Community and Questions were very effective in separating the groups — especially Group A from the other groups."

Discussion

Page metadata
Field Value
type claim
id community-questions-codes-separate-groups
title Community and Questions codes most strongly separated the four groups, especially Group A from the others
description Community and Questions codes most strongly separated the four groups, especially Group A from the others
status review
evidence_strength moderate
newest_evidence 2009
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — jan-van-aalst-2009

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