StatisticalAnalysis in Adolescents Substance Abuse Program
Substancesabuse data often has several attributes, which makes it difficult toanalyze. However, I intend to use the following models in analyzingdata in this program. All participants in substance abuse researchare usually clustered in larger units and multilevel analysis orrandom coefficient modeling will suitable to analyze these types ofthe data. The reason is that several types of the data can beanalyzed simultaneously using the model taking individuals inschools as an example, multilevel can include models for both theindividual (level 1) and school (level 2) stages. A linear model isthen specified for individuals within each school at level 1 and theparameters used in this model are assumed to be random and vary as afunction of predictors at the institution level (Cumming,2013).Furthermore, longitudinal models, which measures, explain, anddescribe individuals’ differences in change over time and the datacollected will be analyzed using multilevel modeling and covariancestructure modeling to analyze growth curves models, which will begenerated.
StatisticalAnalysis in Children Mental Health Program
Onother hand, Randomized Controlled Trials (RCTs) or randomized impactevaluations will be extensively used in Children Mental Healthprogram as it helps to reduce bias and assists in generating aninternally valid impact estimate. The target population is identifiedfirst by the program implementer and then randomization is done atcluster levels such as clinics, villages, or schools. Besides, thedata collected will further be subjected to other statisticalanalyses, especially descriptive and inferentially statistics(Cumming,2013). Correlation method will also be used extensively to determine theresponses of various children to different medications they will beundergoing, and this will help to quantify the relationships existingamong the participants significantly.
Cumming,G. (2013). Understandingthe new statistics: Effect sizes, confidence intervals, andmeta- analysis.Routledge.