Matching Items (4)
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- Genre: Diaries--Psychological aspects.
- Genre: Music--Social aspects.
- Creators: Arizona State University
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
"Recontextualizing Music for Social Change" proposes alternative ways through which the traditional setup of a vocal recital may be transformed into a multidisciplinary performance with a specific social purpose. This task might be achieved by the conscious use and merging of elements such as innovation, ritualistic significance of music, and hopes for social change.
Rather than exclusively analyzing the nature of these three elements, this document seeks to exemplify the artistic use of these tools through the description of two doctoral recitals. These performances focus on the portrayal of two specific social issues concerning gender identity: the femme fatale, and sexual identity.
The first performance, "Defatalizing the Femme Fatale: The Voice behind a Stereotype," reflects on the negative connotations of the French femme fatale stereotype. This dangerous image has been perpetuated through popular and mass media since the nineteenth century. The femme fatale has achieved an iconic status thanks to her appealing, damaging, unrealistic, and hypersexualized traits. Nevertheless, this male-constructed stereotype was actually conceived as a parody of female emancipation. "Defatalizing the Femme Fatale" seeks to create awareness of this image through a staged approach of Shostakovich's Michelangelo Suite, feminist poetry and prose, and euphonium music.
The second performance, "Un-Labelling Love: A Scientific Study of Romantic Attachment in Four Seasons," analyses the biological nature of love. According to this perspective, "Un-Labelling Love" transforms a vocal recital into a scientific lecture. This lecture examines four developmental stages of romantic love through the performance of art songs and the inclusion of a narrator, who describes the biological and psychological changes experienced by two research subjects--the performers--during these love stages. Through a plot-twist at the end of the performance, "Un-Labelling Love" also questions the patriarchal assumption that heterosexual kinship represents, by default, the unmarked category of adult pair-bonding. In summary, and based on scientific facts, this vocal performance seeks to encourage social assimilation of non-heterosexual kinship systems.
Rather than exclusively analyzing the nature of these three elements, this document seeks to exemplify the artistic use of these tools through the description of two doctoral recitals. These performances focus on the portrayal of two specific social issues concerning gender identity: the femme fatale, and sexual identity.
The first performance, "Defatalizing the Femme Fatale: The Voice behind a Stereotype," reflects on the negative connotations of the French femme fatale stereotype. This dangerous image has been perpetuated through popular and mass media since the nineteenth century. The femme fatale has achieved an iconic status thanks to her appealing, damaging, unrealistic, and hypersexualized traits. Nevertheless, this male-constructed stereotype was actually conceived as a parody of female emancipation. "Defatalizing the Femme Fatale" seeks to create awareness of this image through a staged approach of Shostakovich's Michelangelo Suite, feminist poetry and prose, and euphonium music.
The second performance, "Un-Labelling Love: A Scientific Study of Romantic Attachment in Four Seasons," analyses the biological nature of love. According to this perspective, "Un-Labelling Love" transforms a vocal recital into a scientific lecture. This lecture examines four developmental stages of romantic love through the performance of art songs and the inclusion of a narrator, who describes the biological and psychological changes experienced by two research subjects--the performers--during these love stages. Through a plot-twist at the end of the performance, "Un-Labelling Love" also questions the patriarchal assumption that heterosexual kinship represents, by default, the unmarked category of adult pair-bonding. In summary, and based on scientific facts, this vocal performance seeks to encourage social assimilation of non-heterosexual kinship systems.
ContributorsVázquez Morillas, Mario (Author) / Norton, Kay (Thesis advisor) / Reber, William F. (Thesis advisor) / Kopta, Anne (Committee member) / Bowditch, Rachel (Committee member) / Arizona State University (Publisher)
Created2014
Description
This research paper examines the close relationships between the visual arts and music and the implications of curatorial practice upon the work of conductors. While some conductors consider suitability the prime (or only) factor in determining which music to perform, curators use many more criteria. Five elements of exhibition design are particularly germane to musicians including setting, subject matter, visual weight, compositional direction, and narrative. Each of these five elements is discussed in terms of its impact on concert design with a goal of providing additional criteria to the conductor when planning concerts. Three concert experiences, designed with these principles in mind, are presented as examples. Upon consideration of the elements of exhibition design separately and corporately, one arrives at a new appreciation of the concert as a unified experience--capable of being much more than the sum of its parts. The aim of effective concert design is to eliminate unintentional communication--to present music in the most complimentary manner possible. To this end, this study has implications for conductors at all levels.
ContributorsHoughtalen, Brandon (Author) / Hill, Gary W. (Thesis advisor) / Bailey, Wayne A (Committee member) / Ericson, John Q (Committee member) / Feisst, Sabine M (Committee member) / Russell, Timothy W (Committee member) / Arizona State University (Publisher)
Created2012
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