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Description
Daily dairies and other intensive measurement methods are increasingly used to study the relationships between two time varying variables X and Y. These data are commonly analyzed using longitudinal multilevel or bivariate growth curve models that allow for random effects of intercept (and sometimes also slope) but which do not

Daily dairies and other intensive measurement methods are increasingly used to study the relationships between two time varying variables X and Y. These data are commonly analyzed using longitudinal multilevel or bivariate growth curve models that allow for random effects of intercept (and sometimes also slope) but which do not address the effects of weekly cycles in the data. Three Monte Carlo studies investigated the impact of omitting the weekly cycles in daily dairy data under the multilevel model framework. In cases where cycles existed in both the time-varying predictor series (X) and the time-varying outcome series (Y) but were ignored, the effects of the within- and between-person components of X on Y tended to be biased, as were their corresponding standard errors. The direction and magnitude of the bias depended on the phase difference between the cycles in the two series. In cases where cycles existed in only one series but were ignored, the standard errors of the regression coefficients for the within- and between-person components of X tended to be biased, and the direction and magnitude of bias depended on which series contained cyclical components.
ContributorsLiu, Yu (Author) / West, Stephen G. (Thesis advisor) / Enders, Craig K. (Committee member) / Reiser, Mark R. (Committee member) / Arizona State University (Publisher)
Created2013
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Description
The comparison of between- versus within-person relations addresses a central issue in psychological research regarding whether group-level relations among variables generalize to individual group members. Between- and within-person effects may differ in magnitude as well as direction, and contextual multilevel models can accommodate this difference. Contextual multilevel models have been

The comparison of between- versus within-person relations addresses a central issue in psychological research regarding whether group-level relations among variables generalize to individual group members. Between- and within-person effects may differ in magnitude as well as direction, and contextual multilevel models can accommodate this difference. Contextual multilevel models have been explicated mostly for cross-sectional data, but they can also be applied to longitudinal data where level-1 effects represent within-person relations and level-2 effects represent between-person relations. With longitudinal data, estimating the contextual effect allows direct evaluation of whether between-person and within-person effects differ. Furthermore, these models, unlike single-level models, permit individual differences by allowing within-person slopes to vary across individuals. This study examined the statistical performance of the contextual model with a random slope for longitudinal within-person fluctuation data.

A Monte Carlo simulation was used to generate data based on the contextual multilevel model, where sample size, effect size, and intraclass correlation (ICC) of the predictor variable were varied. The effects of simulation factors on parameter bias, parameter variability, and standard error accuracy were assessed. Parameter estimates were in general unbiased. Power to detect the slope variance and contextual effect was over 80% for most conditions, except some of the smaller sample size conditions. Type I error rates for the contextual effect were also high for some of the smaller sample size conditions. Conclusions and future directions are discussed.
ContributorsWurpts, Ingrid Carlson (Author) / Mackinnon, David P (Thesis advisor) / West, Stephen G. (Committee member) / Grimm, Kevin J. (Committee member) / Suk, Hye Won (Committee member) / Arizona State University (Publisher)
Created2016
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Description
The North Park Middle School Band, in Pico Rivera, California, is an exemplary model of a band program grounded in the principles of social justice. Three facets guide the program: Social Outreach, Cultural Outreach, and Kids Helping Kids. This qualitative study explores what led the director to create this program,

The North Park Middle School Band, in Pico Rivera, California, is an exemplary model of a band program grounded in the principles of social justice. Three facets guide the program: Social Outreach, Cultural Outreach, and Kids Helping Kids. This qualitative study explores what led the director to create this program, its current structure as well as its historical development, and the impact the program is having on the students involved and the community to which they reach. Between the months of September and December 2012, I spent a total of three weeks with the students, parents, and the director of the North Park Band, Ron Wakefield. In that time, the students were observed during band rehearsals on typical school days. Additionally, I traveled with the band to three separate outreach concerts at the Los Angeles Veterans Healthcare Facility, nursing homes and assisted living centers, as well as the Isaiah House, a homeless shelter for women and children. I observed the students and their interactions with the residents of those facilities, and took detailed observation notes. In addition, a survey was distributed to students in the top two bands, interviews were conducted with current students and a former student, a parent and a former parent, and the director. The North Park Band program structure leads students to develop an unusually high level of responsibility. Students gain an understanding of current issues in society and demonstrate compassion towards other human beings. In many cases, the students discover a sense of life purpose through the program and feel that they have a responsibility to help their community. While a central focus of the program is on humanistic values, it is evident that the students also receive a quality music education.
ContributorsPawelski, Carrie (Author) / Hill, Gary W. (Thesis advisor) / Schmidt, Margaret E (Thesis advisor) / Bailey, Wayne (Committee member) / Rogers, Rodney (Committee member) / Russell, Timothy (Committee member) / Arizona State University (Publisher)
Created2013