Fully specified regression models will assess the relative impacts of race, nativity, pan-ethnicity, national origins, and immigrant communities on the likelihood of experiencing poverty.
Multilevel multivariate models will assess the extent to which prominent theories of racial/ethnic change racial prejudice, socioeconomic differences, and race-based neighborhood stereotyping explain racial/ethnic stability and change in neighborhoods with diverse racial/ethnic compositions.
Repeated measures analysis using linear mixed models will assess the constancy of any effects of the ASMP over time.
The architecture assessment model will assess and generate a combined score that will indicate if the architecture is acceptable or unacceptable.
The model will assess differences between groups, differences over time (within-subject differences), and the group by time interaction adjusting for gestational age and days post delivery.
With regards to our theoretical model, the planned RCT will assess the impact of DBoxes delivered to clinicians, compared to usual care, on patients' involvement in decision-making during clinical consultation.
Changes from 2006 to 2013 will be examined; multilevel modelling will assess whether random assignment of communities to the intervention reduced 2013 alcohol use, after accounting for community level differences.
Quantitative analyses will use multiple regression to examine relationships at T1, linear mixed models will assess changes over time and SEM will generate models to address the primary research questions.
Preliminary models will assess for Therapist and Therapist X Treatment Group effects and will be included in the main analyses if statistically significant.
On the basis of extended clinical discussions of therapists' verbal session reports over the course of the subjects' treatments, plus transcripts of audio-recordings, an evaluating group of therapists will assess the model's fit, and its ability to make sense of the heterogeneity in the sample.
This model will also assess the associations between geographic remoteness, area disadvantage and survival.
