Claims

Regression shows a significant positive relationship between quiz marks and students' interaction in both colleges, with quiz marks explaining 75.6% (IT) and 70.3% (Business) of interaction variance

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 interaction responses (F = 55.867, sig. 0.00, R-square change 0.756). → Alqudah 2019 q2 i? For the Business College, mean quiz marks significantly predict mean interaction responses (F = 85.195, sig. 0.00, R-square change 0.703). → 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 analysis with mean quiz marks (MM) as independent variable and mean questionnaire interaction responses (MI) as dependent variable, conducted separately for each college's experimental group. The IT model reached significance at 0.00 with F = 55.867 and an R-square change of 0.756; the Business model reached significance at 0.00 with F = 85.195 and an R-square change of 0.703. R-square is variance explained, not a standardised effect size.

"the level of significance is 0.00, which is less than 0.05 when the value of F is 55.867. Therefore, H0 can be rejected. Thus, using infographics by instructional lecture has a significant impact on the interaction of students."

Discussion

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