We used the program MLwiN for
conducting multilevel analysis and used an adapted set up, described by Hox (2002) to make our models suitable for meta - analysis.
The study involved
conducting multilevel factor analyses on large multistate data sets and using the findings from those analyses to assess the predictive validity of the SAI in regard to student academic achievement.
Prior to testing our hypotheses,
we conducted a multilevel confirmatory factor analysis (CFA) to examine the discriminant validity of our research variables.
Not exact matches
Multilevel analyses were
conducted to estimate infant weight gain by type of milk and feeding mode.
After that, using a methodology known as
multilevel analysis, they
conducted an analysis of group and individual variables, simultaneously studying peer attachment and group emotional intelligence.
During your
Multilevel Diver programme, you'll go on 2 open water dives, both of which may be
conducted in 1 day.
All statistical analyses were
conducted using SAS software V. 9.4, estimating the logistic
multilevel models with the GLIMMIX procedure.
This program reduced the number of CM cases in a trial
conducted in South Carolina.6 Because the costs of implementing the full
multilevel Triple P program have recently been published, 22 this program offers a convenient example of how our estimates can be used to demonstrate the reduction in Medicaid costs that may result from the implementation of preventive interventions.
Thus, available data at each assessment for the entire sample were used in the
multilevel models
conducted using SAS software, version 9.2.29 The primary outcome was the least - squares mean difference in clinician - rated PTSD symptoms, derived from these models (see below), from pretreatment to posttreatment compared between the CBCT and wait - list groups.
Multilevel modeling was also
conducted on each outcome, with condition, time, and the condition × time interaction included in the model; random intercepts and slopes were estimated for each participant.
Two
multilevel models were estimated, one without baseline functioning and one including baseline outcome variables when they were collected with the first
multilevel model similar to the analysis
conducted in Sure Start.
Although some research has begun to collect and analyze data at the level of the dyad (Lyons et al., 2007; Pruchno, Wilson - Genderson, & Cartwright, 2008; Wilson - Genderson, Pruchno, & Cartwright, 2008), there remains much to be learned, yet it is clear that advances made regarding
multilevel modeling strengthen our ability to
conduct such research.
A series of
multilevel negative binomial regression analyses were
conducted.
Using a sample of 526 third - to sixth - grade students and 69 teachers,
multilevel modelling was
conducted to examine teachers» reports of students» externalizing, internalizing, and prosocial behaviours as factors affecting TSE with respect to individual students in various domains (instructional strategies, behaviour management, student engagement, and emotional support).
Multilevel analyses with child perceptions of PDT and child emotional and
conduct problems were
conducted (parenting differences and favoritism) in a multi-informant design.
First we
conducted an additional analysis in the
multilevel models that included a four - category couple drinking variable and gender as well as the interaction between gender and couple drinking categories as the predictors.
Multilevel modeling was employed to test the hypothesis that the association between maternal acculturation and adolescents»
conduct problems could be explained by differences in mothers» reliance on monitoring and harsh discipline.
Multilevel modeling (MLM) was
conducted to analyze the variability in life satisfaction both at the individual and the school level.
Tests of the study's main hypotheses were
conducted on data with a
multilevel structure; biweekly assessments (depicting daily or within - person variability) nested within individuals (depicting between - person variability) nested within families (depicting between - family variability).