Matching Items (3)
Filtering by

Clear all filters

151501-Thumbnail Image.png
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
156847-Thumbnail Image.png
Description
LGBTQ research in music education has become more available and accepted in the past ten years. LGBTQ studies in music education have focused on how gay and lesbian music educators negotiate their identities, the role of music education in the lives of transgender students, and the inclusion of LGBTQ issues

LGBTQ research in music education has become more available and accepted in the past ten years. LGBTQ studies in music education have focused on how gay and lesbian music educators negotiate their identities, the role of music education in the lives of transgender students, and the inclusion of LGBTQ issues in music teacher education programs. Studies have been limited to a singular content experience, such as gay vocal music educators or lesbian band directors. Additionally, studies have not explored multiple generations of LGBTQ music educators. The purpose of this study was to explore the lives as lived of six K-12 music teachers. Six individuals, from various career points, various generations, and various career paths shared their stories with me. To guide my analysis, I considered the following questions:

• How do lesbian and gay music educators describe their sexual identity and professional identity?

• How do gay and lesbian music educators negotiate the tensions between these identities?

• What internal and external factors influence these negotiations?

• What are the similarities and differences among the participants of different generations?

Two large emerged from the analysis that provided a better understanding of the participants’ lives: finding sexual identity and finding professional identity. Within those themes, smaller sub-themes helped to better understand how the participants came to understand their sexuality and professional identity. External factors such as social and family support, religion, and cultural and generational movements influenced the ways in which the participants came to understand their sexual identity. Participants desired to be seen first as a competent music teacher, but also understood that they could have an impact on a student as a gay or lesbian role model or mentor. Sexual identity and professional identity did not function as separate constructs; rather they were interwoven throughout these lesbian and gay music educator’s self-identities.

In order to connect the reader with the participants, I engaged in a creative non-fiction writing process to (re)tell participant’s stories. Each story is unique and crafted in a way that the participant’s voice is privileged over my own. The stories come from the conversations and journal entries that the participants shared with me. The purpose of the stories is to provide the reader with a contextual understanding of each participant’s life, and to offer some considerations for ways in which we can engage with and support our lesbian and gay music educator colleagues.

This paper does not end with a tidy conclusion, but rather more questions and provocations that will continue the conversations. I hope this document will encourage thoughtful and critical conversations in the music education profession to help us move us forward to a place that is more empathetic, socially-just, and equitable.
ContributorsMinette, Sarah Marie (Author) / Schmidt, Margaret (Thesis advisor) / Stauffer, Sandra (Committee member) / Sullivan, Jill (Committee member) / Paparo, Stephen (Committee member) / Arizona State University (Publisher)
Created2018
154939-Thumbnail Image.png
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