A between-subjects ANOVA on average pretest-posttest scores showed a significant difference between treatment and control groups¶
Claim · All claims
Evidence · 1 study · causalr1·q2·i3large
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i3 Average pretest-posttest score totals differed significantly between the control and treatment groups per participant, F(2, 52) = 9.107, p = .004, partial η² = .149. → Fein and Jones 2015
Evidence¶
Fein and Jones 2015¶
Lance Fein, Ed.D. & Don Jones, Ed.D. (2015). Using Emergence Theory-Based Curriculum to Teach Compromise Skills to Students with Autistic Spectrum Disorders. Administrative Issues Journal: Connecting Education, Practice, and Research, 5(1), 35-54. https://doi.org/10.5929/2015.5.1.4
q2 · i3 · causal · r1
Between-subjects ANOVA performed as part of the repeated-measures analysis, comparing average pretest-posttest TOPS 2 scores per participant across the control and treatment groups. The printed partial η was .149, a large effect, though the test did not account for groupings.
"These results were significant, F(2, 52) = 9.107, p = .004. Although this test did not account for groupings, it did indicate a significant difference between the average pretesting and posttesting score totals of the control group per participant and treatment group per participant."
Discussion¶
Related Claims¶
- Before treatment, focused, unfocused, and control groups did not differ significantly in accuracy for either structure type — related
- ANOVA showed a significant difference in reading comprehension posttest performance among the three strategy groups — related
- AI-supported PBL students reported higher computational thinking on a self-report scale than traditional-lecture students, controlling for pretest scores — related
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