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- Genre: Diaries
- Genre: Music--Social aspects--Arizona--Flagstaff--History--19th century.
- 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 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
Description
Although one finds much scholarship on nineteenth-century music in America, one finds relatively little about music in the post-Civil-War frontier west. Generalities concerning small frontier towns of regional importance remain to be discovered. This paper aims to contribute to scholarship by chronicling musical life in the early years of two such towns in northern Arizona territory: Prescott and Flagstaff. Prescott, adjacent to Fort Whipple, was founded in 1864 to serve as capital of the new territory. Primarily home to soldiers and miners, the town was subject to many challenges of frontier life. Flagstaff, ninety miles to the north-northwest, was founded about two decades later in 1883 during the building of the Atlantic & Pacific Railroad, which connected the town to Albuquerque, New Mexico in the east and southern California in the west. Although the particular resources of each town provided many different musical opportunities, extant newspaper articles from Prescott's Arizona Miner and Flagstaff's Arizona Champion describe communities in which musical concerts, dances and theatrical performances provided entertainment and socializing for its citizens. Furthermore, music was an important part of developing institutions such as the church, schools, and fraternal lodges, and the newspapers of both towns advertised musical instruments and sheet music. Both towns were home to amateur musicians, and both offered the occasional opportunity to learn to dance or play an instrument. Although territorial Arizona was sometimes harsh and resources were limited, music was valued in these communities and was a consistent presence in frontier life.
ContributorsJohnson, Amber V (Author) / Oldani, Robert W. (Thesis advisor) / Holbrook, Amy (Committee member) / Saucier, Catherine (Committee member) / Arizona State University (Publisher)
Created2011