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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
Description
Arrangements of music from other instruments have always played a key role in expanding the guitar repertoire. This project investigates the life and work of eighteenth-century composer Antonio Soler (1729-1783), specifically his sonatas for solo keyboard. This study carries out a formal inquiry on Soler's influences, including a background of

Arrangements of music from other instruments have always played a key role in expanding the guitar repertoire. This project investigates the life and work of eighteenth-century composer Antonio Soler (1729-1783), specifically his sonatas for solo keyboard. This study carries out a formal inquiry on Soler's influences, including a background of Soler's life and training, his connection with Domenico Scarlatti (1685-1757), and an overview of the eighteenth-century sonata in Spain. Timbres, articulations, tessitura, and other aspects of Spanish folk music are discussed as related to Soler's composition style. Five sonatas are analyzed in connection to Spanish folk music, and part of this study's focus was arranging the sonatas for two guitars: R. 48, 50, 60, 106 and 114. An overview of the current arrangements of Soler's sonatas for guitar is included in Appendix A.
ContributorsCrissman, Jonathan (Author) / Koonce, Frank (Thesis advisor) / Swartz, Jonathan (Committee member) / Norton, Kay (Committee member) / Arizona State University (Publisher)
Created2014
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Description
This is a solo guitar transcription of the first five movements, known as the "Joyous Mysteries," of the Mystery Sonatas by Heinrich Ignaz Franz von Biber, accompanied by a history of the sonata collection, an analysis of the process of translating a Baroque solo sonata to the guitar, and a

This is a solo guitar transcription of the first five movements, known as the "Joyous Mysteries," of the Mystery Sonatas by Heinrich Ignaz Franz von Biber, accompanied by a history of the sonata collection, an analysis of the process of translating a Baroque solo sonata to the guitar, and a guide for performance. The work was chosen because of its significance and popularity within violin repertoire, and the suitability of the solo sonata genre for performance on a guitar. The first section of this project addresses the history and appeal of Biber and the Mystery Sonatas. It is supplemented by a brief survey of guitar transcriptions of Biber's compositions, and the value of the present edition in modern guitar literature. The second section explores the process and challenges of arranging the Mystery Sonatas for solo guitar, followed by a summation of the general allowances and limitations the genre offers to arrangers. The third section focuses on performance practice issues encountered in adapting this series and other Baroque solo sonatas to the guitar. The project concludes with the arrangement, complemented with the original violin and continuo parts for comparison.

Although instrumentations may force an arranger to impose speculative harmonies and countermelodies on a thin texture or sacrifice inner voices in a denser texture, the solo sonata's instrumentation of melody and continuo provides an effective balance. This style allows an arranger three important details: a clear and paramount melody, a flexible bass line, and harmonies with unspecified voicings. Similarly, the compositional freedom that Baroque composers allowed to performers also facilitates the arranging process and enables a variety of creative solutions.
ContributorsLake, Brendan (Author) / Koonce, Frank (Thesis advisor) / Oldani, Robert W. (Committee member) / Swartz, Jonathan (Committee member) / Arizona State University (Publisher)
Created2014
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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