Sentence examples for mixed model designs from inspiring English sources
After subsequent fast Fourier transform (FFT) analysis of results, mean lower and upper alpha power values were entered into separate repeated measures mixed model designs.
The success of these types of mixed model designs has been demonstrated in studies examining brain development in young children (Sadeghi et al. 2013) and adolescents (Lebel and Beaulieu 2011).
A 2 (age: 11 14 years old; 15 17 years old) × 2 (message delivery: implicit, explicit) mixed model design was used.
A mixed model design with a qualitative emphasis allowed for thematic as well as quantitative data analysis.
A cross-sectional, mixed model design was used to investigate individuals' response-variations on personal approach and avoidance goal systems.
In a mixed model design participants were instructed to either predict or to experience and then recall emotions related to a simulated social inclusion- or exclusion-interaction.
Likewise, a nested mixed model design performed with PERMANOVA showed that both fungal assemblages and woody debris composition were significantly dissimilar between forests with distinct management history.
To be included in the review, studies were required to use a between-subjects or mixed model design in which VR distraction was compared with a control condition or an alternative intervention in relieving pain.
To be included, studies were required to use a between-subjects or mixed model design in which hypnosis was compared with a control condition or alternative intervention in reducing labor pain.
This was a 2×2×2 mixed model design with Exposure (Pre-exposed vs. Control) and Instructions (Recognition vs. Categorization) as between-subjects factors and List (1 vs. 2) as a within-subject factor.
The data set was analysed using a 4-factor mixed model design (factors: Canyon Caa; fixed), Water Depth (WD; fixed), Sediment Depth (SD; fixed), Cores (Co; to account for replicate variability; random and nested in Ca×WD) in PERMANOVA+ for PRIMER [46]).
