Claims

Regression shows a significant relationship between quiz marks and students' perception in both colleges, though far stronger in the IT College (R-square 0.919) than the Business College (R-square 0.226)

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2019 · 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? For the IT College, mean quiz marks significantly predict mean perception responses (F = 204.273, sig. 0.00, R-square change 0.919). → Alqudah 2019 q2 i? For the Business College, mean quiz marks significantly predict mean perception responses (sig. 0.03, F = 10.541, R-square change 0.226). → Alqudah 2019

Evidence

Alqudah 2019

Alqudah, D., Bidin, A., & Md Hussin, M. A. H. (2019). The Impact of Educational Infographic on Students’ Interaction and Perception in Jordanian Higher Education: Experimental Study. International Journal of Instruction, 12(4), 669-688. https://doi.org/10.29333/iji.2019.12443a

q2 · i? · causal · r1

Simple regression with mean quiz marks (MM) predicting mean perception responses (MP), run separately per college. The IT model was significant at 0.00 with F = 204.273 and R-square change 0.919; Table 7 shows the Business model significant at 0.03 with F = 10.541 and R-square change 0.226. The article's text repeats the 0.919 value for the Business College, which conflicts with its own Table 7 value of 0.226.

"the significance level is 0.00, which is less than 0.05 when F value is 204.273. Thus, H0 can be rejected, which means that significant effects exist when using infographic in instructional lectures on receiving and perception knowledge by students."

Discussion

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