Matching Items (3)
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- Genre: Diaries--Psychological aspects.
- Genre: Art--Study and teaching (Secondary)--United States.
- 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
Through the disciplines of art education, anthropology and psychology the researcher examined research-based traits and characteristics of the creative process among a second year Title 1 urban high school art class. Within the theoretical framework of social justice, this micro-ethnographic study explored exactly what teaching and learning to be creative implies and proposes a potential resolution for art teachers learning how to enhance teaching children how to think creatively. The research proposition is that student creativity occurs as a function of a series of interrelated factors including a nurturing classroom context, strong teacher-student dialogue, strategic questioning, purposeful incorporation of visual culture, and manipulation of content in favor of student interests within the culturally situated context of the art classroom. Navigating teacher-student relationships at moments of creative origination produced results indicating that the art teacher alone is the single most influential factor for enhancing creative outcomes in a classroom. Through incorporation of a variety of collaborative activities and comparative analysis of dissimilar content-driven projects generated evidence that artistic skills and creativity do not necessarily go hand-in-hand. The study finds that the artworks produced evidence based nuances of the creative traits of originality, fluency, flexibility, and elaboration in which profoundly varied in character depending on the content and the context. The study concludes that creativity cannot be strictly taught or learned, but rather that it can be enhanced through teacher nurturing and manipulation of content to encompass a socially intelligent uptake in the culture of art-making. Broader implications are suggested focusing on the significance of creative education and the impact it can have for educational systems, schools and undergraduate programs in art education. The researcher proposes an art education curriculum model that fosters both creative thinking and the unique learning needs of Title 1 urban students. The curriculum suggests the art teacher begin initial instruction by teaching students about the traits, characteristics and obstructions of creativity prior to teaching artistic skills sets to serve as a foundation of creative awareness from the start.
ContributorsForeman, Angela (Author) / Young, Bernard (Thesis advisor) / Stokrocki, Mary (Committee member) / Fischman, Gustavo (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