Claims

No significant correlation between number of messages written and average length of notes written

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2012 · 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? The correlation between number of messages written and average length of notes was not statistically significant (p = 0.21); equivalence was not tested. → Murat Oztok 2012

Evidence

Murat Oztok 2012

Murat Oztok, Daniel Zingaro, Clare Brett, Jim Hewitt. (2012). Exploring Asynchronous and Synchronous Tool use in Online Courses. Preprint submitted to Computers & Education. https://doi.org/10.1016/j.compedu.2012.08.007

q2 · i? · associational · r2

Correlational analysis of logs from all 222 students in nine dual-mode courses, relating messages written to average note length. The quote reports "no significant correlation ( p = 0.21)"; no effect size is printed for this null finding.

"we found a highly significant positive correlation between number of messages written and number of notes written (r = 0.6,p = 0), but no significant correlation ( p = 0.21) between number of messages written and average length of notes"

Discussion

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