What do these ANOVA results mean for the research, of whether people respond differently to correction of positive and negative misinformation, and whether belief in misinformation differ by correction type? Explain these ANOVA results The repeated measures ANOVA is conducted. Within subject effects is described in table1, Forvalence, F(1,188)-27.042, p<0.001,np2=0.126 has a significant effect. For valence * correction,F(2,188)=0.182, p=0.833 np2=0.002 has a non-significant interaction effect between valence andcorrection.Between subject effects is described in table2. For correction type, F(2,188)=8.950,p<0.001,np2=0.087 has a significant effect between the subjects. This means that the response of peoplediffers by the correction type.

Answered: The repeated measures ANOVA is…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

What do these ANOVA results mean for the research, of whether people respond differently to correction of positive and negative misinformation, and whether belief in misinformation differ by correction type? Explain these ANOVA results

The repeated measures ANOVA is conducted. Within subject effects is described in table1, For
valence, F(1,188)-27.042, p<0.001,np2=0.126 has a significant effect. For valence * correction,
F(2,188)=0.182, p=0.833 np2=0.002 has a non-significant interaction effect between valence and
correction.
Between subject effects is described in table2. For correction type, F(2,188)=8.950,p<0.001,
np2=0.087 has a significant effect between the subjects. This means that the response of people
differs by the correction type.

Expert Solution

Step 1

The provided information corresponding to the p-value for the ANOVA test is as follows:

Source	Effective Size $(η_{p}^{2})$	p-value	Significance
Within Subject (Valence)	0.126	<0.001	Yes
Interaction between Correction and Valence	0.002	0.833	No
Between subject	0.087	<0.001	Yes