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We find a similar result [z = −0.94, p = 0.35] when we repeat the analyses without the photos of the four individuals who have South American family origins.
When we repeat the analyses without the photos of the four individuals who have South American family origins, the average discrepancy is 7.93%±9.7.93
When we repeat the analyses without the photos of the four individuals who have South American family origins, there are no significant relationships between the independent variables and the error score, except for age in the student sample (p = 0.008).
When we repeat the analyses without the photos of the four individuals who have South American family origins, the mean error score for all 241 observers is 7.17±1.78 and 9.55±1.6 for the simulated random estimators [t-test: t(478) = −15.552, p = 9.79×10−44].
When we repeat the analyses without the photos of the four individuals who have South American family origins, the test for differences in the mean distance scores between Hispanics, Whites and Native Americans is not significant [Χ2 = 0.880, df = 2, p = 0.644], and none of the pair-wise differences are significant.
The ability to repeat the analyses in two independent samples establishes a higher burden than adjusting for multiple testing.
Similar(35)
Given this, we repeated the analyses stratifying by maternal depression.
We have repeated the analyses using interdependent self-construal as the moderator variable.
When repeating the analyses adjusted for sex, age and BMI, this resulted in essentially the same results.
The results also demonstrate the superior robustness of the method by repeating the analyses using random experimental designs.
We then repeated the analyses separately for each sex.
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