we’ll work through two-way ANOVA using Excel. Even if Excel isn’t your main statistical package, this post is an excellent introduction to two-way ANOVA. Excel refers to this analysis as two factor ANOVA.
To answer the research questions, this study adopted a quantitative approach using a two-way mixed ANOVA. We initially inspected the boxplot (see Figure 7) to identify the presence of outliers. While there were two mild outliers in our sample, the researchers decided to include both outliers ...
In each trial, two-way ANOVA tests were used to compare the study effects on the outcome measures between the groups, with time serving as the intra-group factor (baseline, immediately, and 72 h after the application) and the intervention type (KT and sham) as the between-group factor....
Using One Way ANOVA’s, we found no significant differences for any of the variables reported in Fig. 1 between the three student teacher levels, with the exception of how much effort the student teachers had put in the task (F(3,514), p < .05). A Bonferroni posthoc analysis revealed...
In particular, the PB solution for the multivariate case is an extension of our solution to the univariate heteroscedastic two-way ANOVA. Several invariance properties of the PB solution were proved theoretically. This makes the approach a useful contribution for practical applications. Moreover, the...
A two-way repeated-measures ANOVA was performed on the psychometric parameters, PSE andσ, with Holm’s post hoc tests to assess the impact of the materials and thecongruencefactors on the participants’ body ownership perception. Results
(from23). It presents the trajectory of a pursuer in the case where the pursuer aligns its velocity vector towards the current position of the target, this way the pursuer stays in the wake of the target. This strategy was later observed in tiger beetles24, houseflies14, blow flies17, ...
In this section, the data are presented. Also, the synchrony measure used to obtain the functional data is described, as well as the statistical methodology used to cope with the functional analysis of variance (ANOVA) model. Dataset Data were recorded from an anesthetized and paralyzed adult ca...
Statistical analysis was performed on the monthly data using one-way ANOVA with Tukey and Dunnett's C-test applied for multiple comparisons depending on equal or unequal variances, respectively. Results During the study period, the only change and key intervention was that of twice-daily consultant...
Statistical significance was determined using one-way ANOVA with Dunnett’s multiple comparisons tests. N.S., not significant (p > 0.05); ∗∗∗p < 0.001. We used mean ± standard deviation here. Scale bars: 50 μm and 5 μm (for zoom-in views) in (A) and (B) and 10 μm...