Sentence examples for mixed design analysis from inspiring English sources
Data were analyzed by descriptive statistics and 2 × 2 mixed design analysis of variance.
ERP latencies and self-report measures were analysed with mixed design analysis of variance.
Mixed design analysis of variance on the center of pressure (COP) movements showed a significant interaction of eyes open/closed and sham/MF conditions [F=8.78(1,42), P<0.006].
A 3-way mixed design Analysis of Variance (ANOVA) was performed on the variable of glucose level (mg/dl), with the fixed factor of Group (high and low hostile) and with repeated measures for Stress Condition (verbal and nonverbal stressor) and Trial (pre- and post-stress).
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.
A mixed design Analysis of Variance (ANOVA) was conducted where the comparison of interest was between high and low media frequency diseases, the within-subject variable was the individual diseases, and information level was also included as a between-subjects variable.
The t test and mixed designed analysis of variance (ANOVA) with one between-subject factor "pain group" and one within-subject factor "time" were used to explore the relationships between cancer pain and psychospiritual factors.
Comparisons among groups were evaluated using a mixed-design analysis of variance.
A mixed-design analysis of variance was used to compare changes within and between groups.
The results of a mixed-design analysis of covariance (ANCOVA) showed uniformly that students with high externalizing problems had lower intrinsic, attainment, and utility values in math than students with low or no externalizing problems.
A mixed-design analysis of variance was employed using pre- and posttreatment values as the within-subjects factor and skeletal Class, vertical growth pattern as assessed by upper/lower face height ratio values, and extraction or nonextraction as the between-subjects factor.
