Claims

Before the lessons, the treated and non-treated classes did not differ significantly in how they classified the twenty-seven nationalities

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2014 · 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? At Time 1, treated students averaged approximately 9 of 27 nationalities as White, 12 as non-White, and 6 as not sure, with no statistically significant differences from the untreated class. → Cherry et al. 2014

Evidence

Cherry et al. 2014

Stephen M. Cherry, Amy Lucas, Kim A. Case, and William T. Hoston. (2014). Who is White? Assessing Students' Perceptions of Whiteness through Active-Learning Effectiveness and the Construction of Racial Doubt. The Journal of Effective Teaching, Vol. 14, No.3, 2014, 68-83. http://www.understandingrace.org/home.html

q2 · i? · causal · r1

Pre-lesson assessment in both courses (N = 97): treated students identified on average approximately 9 of 27 nationalities as White, 12 as non-White, and 6 as not sure; untreated students approximately 7, 13, and 6. The article reports t-tests found no statistically significant differences; equivalence was not tested.

"T -tests revealed that there were not any statistically si gnificant differences between the two classes in the number of nationalities identified as White, non -White, and not sure."

Discussion

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