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- Genre: Diaries--Psychological aspects.
- Genre: Fiction--Authorship.
- Genre: Music--Latin America--History and criticism.
- Creators: Arizona State University
Description
During the twentieth-century, the dual influence of nationalism and modernism in the eclectic music from Latin America promoted an idiosyncratic style which naturally combined traditional themes, popular genres and secular music. The saxophone, commonly used as a popular instrument, started to develop a prominent role in Latin American classical music beginning in 1970. The lack of exposure and distribution of the Latin American repertoire has created a general perception that composers are not interested in the instrument, and that Latin American repertoire for classical saxophone is minimal. However, there are more than 1100 works originally written for saxophone in the region, and the amount continues to grow. This Modern Latin American Repertoire for Classical Saxophone: Recording Project and Performance Guide document establishes and exhibits seven works by seven representative Latin American composers.The recording includes works by Carlos Gonzalo Guzman (Colombia), Ricardo Tacuchian (Brazil), Roque Cordero (Panama), Luis Naón (Argentina), Andrés Alén-Rodriguez (Cuba), Alejandro César Morales (Mexico) and Jose-Luis Maúrtua (Peru), featuring a range of works for solo alto saxophone to alto saxophone with piano, alto saxophone with vibraphone, and tenor saxophone with electronic tape; thus forming an important selection of Latin American repertoire. Complete recorded performances of all seven pieces are supplemented by biographical, historical, and performance practice suggestions. The result is a written and audio guide to some of the most important pieces composed for classical saxophone in Latin America, with an emphasis on fostering interest in, and research into, composers who have contributed in the development and creation of the instrument in Latin America.
ContributorsOcampo Cardona, Javier Andrés (Author) / McAllister, Timothy (Thesis advisor) / Spring, Robert (Committee member) / Hill, Gary (Committee member) / Pilafian, Sam (Committee member) / Rogers, Rodney (Committee member) / Gardner, Joshua (Committee member) / Arizona State University (Publisher)
Created2011
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
This essay is an exploration of Michael Holladay's interests in style and influence related to his writing and overall writing process. I've chosen a selection of books that both reflect my interests as a writer, books that I've loved and have informed me in the past which continue to inform and inspire on each re-read (Battleborn by Claire Vaye Watkins, A Visit from the Goon Squad by Jennifer Egan, for example) and also books I hadn't read and needed to in order to challenge myself with writing I haven't been exposed to yet so I can continue to grow (I hadn't, for instance, read Jesus' Son by Denis Johnson or Reasons to Live by Amy Hempel before preparation for this essay.) The fiction I've chosen to discuss strikes a balance between favorites that have formed me up to this point and new work to "fill in the gaps" of books I needed to read. Additionally, I've chosen a selection of books on craft to provide a lens for thinking about writing. Finally, I've also included work in other genres that inform my fiction (Ryan van Meter's creative nonfiction essays, If You Knew Then What I Know Now and Andrew Haigh's film, Weekend.)
I've intentionally chosen work that is diverse in both form and content. I have more linear fiction represented (William Trevor, for example) matched with work that's fragmentary and language focused (Christine Schutt's Nightwork among others) since I'm interested in how linear form and fragmentation can intersect, and I've been experimenting with both during my time in the program. And in terms of content, the majority of the work speaks to my interest in how region, specifically the South, impresses itself on sexuality and gender, specifically queer or decentered sexuality and gender. So I have books with a heavy focus on region (Daddy's by Lindsay Hunter and Girl Trouble by Holly Goddard Jones) and work that explores the complexities of sexuality and identity (Michael Cunningham, Edmund White, Alexander Chee, and I'll mention Haigh's film Weekend again because it's always worth mentioning again.) These works will help synthesize and bring together my interests in style, language, structure, and form, and in content.
I've intentionally chosen work that is diverse in both form and content. I have more linear fiction represented (William Trevor, for example) matched with work that's fragmentary and language focused (Christine Schutt's Nightwork among others) since I'm interested in how linear form and fragmentation can intersect, and I've been experimenting with both during my time in the program. And in terms of content, the majority of the work speaks to my interest in how region, specifically the South, impresses itself on sexuality and gender, specifically queer or decentered sexuality and gender. So I have books with a heavy focus on region (Daddy's by Lindsay Hunter and Girl Trouble by Holly Goddard Jones) and work that explores the complexities of sexuality and identity (Michael Cunningham, Edmund White, Alexander Chee, and I'll mention Haigh's film Weekend again because it's always worth mentioning again.) These works will help synthesize and bring together my interests in style, language, structure, and form, and in content.
ContributorsHolladay, Michael (Author) / Ison, Tara (Thesis advisor) / Pritchard, Melissa (Committee member) / Bell, Matt (Committee member) / Arizona State University (Publisher)
Created2016
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