Matching Items (3)
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- Genre: Diaries
- Genre: Music--Bibliography.
- 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
The use of instrumental vibrato in certain periods of classical music performances has become a highly debated and often fiery topic. The scholars of yesterday had only a few sources with which to gain a better understanding of the definition, mechanics, employment, and prevalent attitudes of those coming before them. This project aims to develop the foundation to a better understanding of instrumental vibrato by compiling primary source material written before 1940 and secondary source material relevant to that period into an annotated bibliography. The source materials in this study were mainly comprised of treatises, tutors, method books, newspaper articles, and dictionaries. The instruments covered in this study included the violin family and relatives (viols, etc...), woodwinds (including recorder), members of the brass family, organ, other keyboard instruments, guitar/banjo/lute, theremin, and prototype
iche instruments (such as player pianos). This project investigated 309 historical documents, finding 258 contained writings about instrumental vibrato. Of those, 157 were presented as bibliographic annotations. The author found no consensus at any time in the history of Western art music between 1550-1940 that vibrato is wholly acceptable or wholly unacceptable.
iche instruments (such as player pianos). This project investigated 309 historical documents, finding 258 contained writings about instrumental vibrato. Of those, 157 were presented as bibliographic annotations. The author found no consensus at any time in the history of Western art music between 1550-1940 that vibrato is wholly acceptable or wholly unacceptable.
ContributorsVerville, Timothy David (Author) / Russell, Timothy (Thesis advisor) / Humphreys, Jere T (Committee member) / Oldani, Robert (Committee member) / Reber, William (Committee member) / Rotaru, Catalin (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