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- Genre: Diaries
- Genre: Music--18th century--History and criticism.
- 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
In 1808, Heinrich Domnich (1767-1844) published his book, Méthode de Premier et de Second Cor, in which he credited the invention of hand horn to Dresden hornist Anton Joseph Hampel (1710-1771). The notion that Hampel was the first horn player to experiment and teach hand horn technique has persisted to the present day. This assumption disregards evidence found in Telemann's compositions and Baroque instrument design, where hand horn technique was clearly in use before Hampel.
This paper presents evidence that before Hampel, hand horn was in use and called for by composers. Because of the number of works for horn he generated before and during Hampel's life, Telemann's pieces provide powerful insight into the use of Baroque horn. Musical examples originate from passages in Telemann's works where the horn performs in a solo capacity and the music requires the performer to produce pitches outside the harmonic series. By necessity, the performer must use either the hand or bend the note with the embouchure in order to produce the correct pitch with the hand being the logical choice. The paper also examines published interviews from horn pedagogues, history books, method books from the classical and baroque eras, baroque and hand horn design, as well as articles written by some of the world's foremost baroque and hand horn experts.
By indentifying the number of non harmonic series tones in Telemann's music, combined with the opinions of hand horn experts, this paper suggests that horn players during the Baroque era must have known about, and used, hand horn technique. This knowledge will influence performer's interpretation of baroque pieces by providing a more historically informed performance, clearer understanding of intonation, the variety of tone colors expected, and create a better understanding of the development of the horn from foxhunting to the concert hall.
This paper presents evidence that before Hampel, hand horn was in use and called for by composers. Because of the number of works for horn he generated before and during Hampel's life, Telemann's pieces provide powerful insight into the use of Baroque horn. Musical examples originate from passages in Telemann's works where the horn performs in a solo capacity and the music requires the performer to produce pitches outside the harmonic series. By necessity, the performer must use either the hand or bend the note with the embouchure in order to produce the correct pitch with the hand being the logical choice. The paper also examines published interviews from horn pedagogues, history books, method books from the classical and baroque eras, baroque and hand horn design, as well as articles written by some of the world's foremost baroque and hand horn experts.
By indentifying the number of non harmonic series tones in Telemann's music, combined with the opinions of hand horn experts, this paper suggests that horn players during the Baroque era must have known about, and used, hand horn technique. This knowledge will influence performer's interpretation of baroque pieces by providing a more historically informed performance, clearer understanding of intonation, the variety of tone colors expected, and create a better understanding of the development of the horn from foxhunting to the concert hall.
ContributorsGilbert, Joel Gregory (Author) / Ericson, John Q (Thesis advisor) / Swoboda, Deanna (Committee member) / Saucier, Catherine (Committee member) / Arizona State University (Publisher)
Created2014
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