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The software R nlme [20] was used for ANOVA modelling, specifying "cleaning strategy" as a "within subject" variable, and the patient as a random factor.
The first factor consisted of a subject variable defined by scoring either high or low on a trait measure of worry (the Penn State Worry Questionnaire) and the second factor consisted of 300 mg caffeine or placebo.
The only significant independent variables were the subject variable (P =<.001) for the percentage of streptococcal and anaerobic bacterial count and the visit variable for the percentage of streptococcal count (P =<.001).
A mixed design Analysis of Variance (ANOVA) was conducted, where the comparison of interest was between high and low media frequency diseases, and the within subject variable was the judgments made on each of the individual diseases.
Individual was the subject variable.
Family was the subject variable.
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In these analyses, outcome (hit, miss) added as an additional within-subject variable.
We used a 2×2×5 mixed design with the between-subject variable "experiment version" (short vs. long) and the repeated measures "item type" (old vs. novel) and "group opinion" (0 to 4 correct responses by the confederates).
Separate repeated measures ANOVAs were conducted on mean RT and error rate in the Perspective-taking task, with gender entered as a between-subject variable and background, perspective, and angle of rotation entered as within-subject variables.
Response time data were submitted to a repeated-measures ANOVA with belief (true, false) and statement content (religious, nonreligious) as within-subject variables, and group (nonbeliever, Christian) as a between-subject variable.
Strain is a between-subject variable.
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