Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
An ANOVA was performed between age and task type, age and response type, age and S-R compatibility type for the 5th percentile and 95th percentile values separately.
This change of emphasis occurred because most of the existing data on age polyethism only show a correlation between age and task (e.g., Calabi and Rosengaus 1988, Corbara et al. 1989, Dejean and Lachaud 1991.
In light of these observations, the inverse association between age and task performance can be explained, in the case of older seniors, by a difficulty in attending to the tactile stimuli as the finger moved over the surface.
Similar(57)
A Huynh Feldt corrected, repeated-measures ANOVA with the between-subject factor "age" (3 levels) and the within-subject factor "task" (3 levels) established that the reaction times did not differ between 3 age groups: none of the main effects were significant, and there was no interaction between the factors age and task.
In the case that a significant (P<0.05) task by age interaction was observed, multiple pairwise comparisons were used to compare the mean number of repetitions between groups defined by the cross-classification of age and task.
We first investigated the relationship between age and brain response during L1 task performance for the 6 ROIs.
To gain insight into these mechanisms, we used functional magnetic resonance imaging to examine brain activity during encoding and recognition tasks in young, middle-aged, and older adults to identify correlations between age and brain activity across the various tasks.
We also detected statistical interactions between age and fT4 for effects in tasks of memory and learning.
All predictors were centered on the mean and interaction terms were computed between age and the ERN measured by each task.
For confirmation, we also conducted regression analyses of the relation between age and brain activation (relative [oxy-Hb] changes) during L1 frequent-word repetition tasks.
For confirmation, we also conducted regression analyses of the relation between age and brain activation (relative [oxy-Hb] changes) during high-frequency L1 word repetition tasks.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com