Claims

Treatment status correlated significantly with both inventory scores, with the treatment–possible-correct correlation at r = .392

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i2 medium
Currency · newest study 2018 · 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.

q3 i2 Pearson correlations between treatment and both “attempted correct” (r = .244) and “correct out of possible” (r = .392) scores were statistically significant. → Barbara Allen-Lyall 2018

Evidence

Barbara Allen-Lyall 2018

Barbara Allen-Lyall. (2018). Helping Students to Automatize Multiplication Facts: A Pilot Study. IEJEE, Volume 10, Issue 4, 391-396. https://doi.org/10.26822/iejee.2018438128

q3 · i2 · causal · r1

Pearson product moment correlations computed for the treatment group against both inventory measures; Table 3 reports r = .244** and r = .392** with N = 293, both significant at p < .01.

"Results shown in ta- ble 1.3 suggest that correlations between treatment and scores in both situations were statistically significant and were greater than or equal to r(291)= .244, p< .01 and r(291)= .392, p< .01."

Discussion

Learner Variables

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