Sentence examples for multilevel analyses showed from inspiring English sources

Multilevel analyses showed no significant variations of self-rated health at the regional level.

Multilevel analyses showed that neither the average nor the total amount of interpersonal experiences influenced their global affective judgments.

Multilevel analyses showed that the school/home-based intervention had significant effects on reading enjoyment and reading curiosity.

Multilevel analyses showed that the intervention group developed larger networks and increased network dynamics, compared to the control group.

Multilevel analyses showed that the patterns of change in searching skills differed across conditions, with experimental group showing significant growth throughout intervention in all searching skills, while the control group remained constant or worsened across sessions.

Multilevel analyses showed that at posttreatment, conventional PCST was superior to all other conditions in joint pain, coping efficacy, and negative mood, whereas PCST/MT was superior to all other conditions in emotion-focused coping and positive mood.

Logistic and multilevel regression analyses showed that tree survival, growth and thinning response (change of tree growth due to a thinning treatment) were functions of tree species, size, age, removed and remaining competition, as well as time since the treatment.

Multilevel modeling analyses showed that individuals with high PTSD symptom severity had lower high-frequency HRV than individuals with low PTSD symptom severity during periods of sleep, t(1083) = 2.20, p =.028, Cohen's d = 0.12.

After adjusting for the quality of chronic care delivery at T1 and significant respondents' characteristics, multilevel regression analyses showed that team climate at T1 (p<0.01) and changes in team climate (p<0.001) predicted the quality of chronic care delivery at T2.

The multilevel regression analyses showed that the dependence within patient clusters was usually small, intraclass correlations (ICCs) being never larger than 0.15 with only two exceptions; the regression model on loaded forward reach showed an ICC of 0.17 and stair climbing 0.20.

Stepwise multilevel logistic regression analyses showed that the number of specialties treating a patient is associated with the risk of experiencing either a non-preventable AE or preventable AE as is shown in Table  2.