Not exact matches
Genome - wide
analysis of variance (ANOVA)
revealed that germline SNPs / CNVs and somatic CNAs influenced > 39 %
of gene expression probes, roughly half acting in cis and half in trans.
The HLM
analysis of spring writing scores among second - through sixth - graders (see Table 9)
revealed that the school - level factor
of collaborative leadership accounted for 25 %
of the
variance in students» spring writing after accounting for fall scores.
Our HLM
analysis revealed that the school - level factor
of collaborative leadership accounted for 29 %
of second - through sixth - graders»
variance in spring fluency scores (number
of words read correctly in one minute), after accounting for fall scores.
The HLM
analysis (see Table 16) for grade 1 (175 students and 25 teachers)
revealed that after accounting for fall scores, 32 %
of the
variance in spring comprehension scores was between teachers.
For grades 2 - 3, the HLM
analysis on data from 348 students and 50 teachers (see Table 20)
revealed that after accounting for fall scores, 33 %
of the
variance in spring writing scores was between teachers.
The HLM
analysis (see Table 13) for grade 1 (188 students and 27 teachers)
revealed that after accounting for fall scores, 41 %
of the
variance in spring fluency scores was between teachers.
For spring letter - name knowledge, the HLM
analysis on data from 184 students and 26 teachers
revealed that after accounting for fall scores, teachers accounted for 38 %
of the
variance in students» spring scores.
For grades 2 - 3, the HLM
analysis on data from 380 students and 53 teachers (see Table 17)
revealed that after accounting for fall scores, 29 %
of the
variance in spring comprehension NCE scores was between teachers.
The HLM
analysis (see Table 19) for grade 1 (163 students and 24 teachers)
revealed that 33 %
of the
variance in spring writing scores was between teachers, after accounting for fall scores.
For grades 4 - 6, the HLM
analysis on data from 395 students and 56 teachers (see Table 18)
revealed that after accounting for fall scores, 39 %
of the
variance in spring comprehension scores was between teachers.
Using
analysis of variance, the mean IGARs
revealed significantly greater improvements for DOCC (versus EUC) at 6 -, 12 -, and 18 - month follow - ups (Table 7).
Principal component factor
analyses revealed 2 factors that explained 50 %
of the total
variance: 1 factor for the 6 toy items and another factor with 2 items (books and cuddly toys).
Principal components
analysis of the 10 items
revealed 3 factors that explained 52 %
of the total
variance: 1 factor included the 2 items on physical affection, a second factor included the 6 items on mother - child activities, and a third factor included the 2 items on eating and bedtime.
Results: The principal components
analysis revealed three scales accounting for approximately 49 %
of the
variance in responses: (a) Self - Perceived Ability to Work with Others, (b) Value in Working with Others, and (c) Comfort in Working with Others.
A multivariate
analysis of variance, in fact,
revealed a significant overall gender effect, Wilks» Lambda =.79, F (11, 611) = 14.77, p <.001.
Initial examination
of the items using principal component
analysis with varimax rotation to maximize
variance,
revealed three factors having an eigenvalue greater than one.
Regression
analyses revealed that although a preoccupied working model
of attachment and withdrawal coping explained
variance in symptomatology, relationship stressors were more predictive
of poor psychological adaptation.
Regression
analyses revealed that only the limited access to emotion regulation strategies subscale accounted for a significant portion
of the
variance in NSSI when controlling for other aspects
of emotion dysregulation, sex, and psychopathology.
Results
of multilevel
analyses reveal that individual background characteristics (e.g., gender, social class, individual assessment
of teacher - student relationships) explain more
of the
variance than school characteristics, including school climate.