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- Genre: Diaries--Psychological aspects.
- Genre: Music--Instruction and study--Philosophy.
- Creators: Arizona State University
Description
This philosophical inquiry explores the work of philosophers Gilles Deleuze and Félix Guattari and posits applications to music education. Through the concepts of multiplicities, becoming, bodies without organs, smooth spaces, maps, and nomads, Deleuze and Guattari challenge prior and current understandings of existence. In their writings on art, education, and how might one live, they assert a world consisting of variability and motion. Drawing on Deleuze and Guattari's emphasis on time and difference, I posit the following questions: Who and when are we? Where are we? When is music? When is education? Throughout this document, their philosophical figuration of a rhizome serves as a recurring theme, highlighting the possibilities of complexity, diverse connections, and continual processes. I explore the question "When and where are we?" by combining the work of Deleuze and Guattari with that of other authors. Drawing on these ideas, I posit an ontology of humans as inseparably cognitive, embodied, emotional, social, and striving multiplicities. Investigating the question "Where are we?" using Deleuze and Guattari's writings as well as that of contemporary place philosophers and other writers reveals that humans exist at the continually changing confluence of local and global places. In order to engage with the questions "When is music?" and "When is education?" I inquire into how humans as cognitive, embodied, emotional, social, and striving multiplicities emplaced in a glocalized world experience music and education. In the final chapters, a philosophy of music education consisting of the ongoing, interconnected processes of complicating, considering, and connecting is proposed. Complicating involves continually questioning how humans' multiple inseparable qualities and places integrate during musical and educative experiences. Considering includes imagining the multiple directions in which connections might occur as well as contemplating the quality of potential connections. Connecting involves assisting students in forming variegated connections between themselves, their multiple qualities, and their glocal environments. Considering a rhizomatic philosophy of music education includes continually engaging in the integrated processes of complicating, considering, and connecting. Through such ongoing practices, music educators can promote flourishing in the lives of students and the experiences of their multiple communities.
ContributorsRicherme, Lauren Kapalka (Author) / Stauffer, Sandra (Thesis advisor) / Gould, Elizabeth (Committee member) / Schmidt, Margaret (Committee member) / Sullivan, Jill (Committee member) / Tobias, Evan (Committee member) / Arizona State University (Publisher)
Created2013
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 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
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 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.
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