Matching Items (5)
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- Genre: Diaries
- Genre: Electronic government information
- Genre: Interactive multimedia--Philosophy.
- Genre: Newspapers--Language.
- Creators: Arizona State University
- Resource Type: Text
- Status: Published
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
Commitment to an activity is widely studied in leisure research. Serious Leisure Perspective (SLP) describes characteristics a committed activity participant possesses. The Psychological Continuum Model (PCM) describes the psychological process a person goes through to become committed to a leisure activity. Awareness, attraction, attachment and loyalty make of the four stages of PCM. Both perspectives have been used to describe committed leisure activity participants and commitment to organized recreational events. Research on leisure activity has yet to determine how the individual becomes loyal. Therefore, the purpose of this study is to determine the process in which recreation activity participates becomes loyal and to identify who can be labels as serious within the PCM Framework. Data was obtained from an online electronic survey distributed to participants of four U.S. marathon and half marathon events. A total of 579 responses were used in the final analysis. Path analysis determined the process in which a runner becomes committed. MANOVA is used to determine difference between leisure groups in the four stages of PCM. Results indicate that activity participants need to go through all four stages of PCM before becoming loyal. As knowledge increases, individuals are more motivated to participate. When the activity satisfies motives and becomes a reflection of their identity, feelings become stronger which results in loyalty. Socialization is instrumental to the progression through the PCM Framework. Additionally, attachment is the "bottleneck" in which all loyal activity participants my pass through. Differences exist between serious leisure groups in the attachment and loyalty stages. Those that are `less serious' are not as committed to the activity as their counterparts.
ContributorsMurphey, Elizabeth M (Author) / Lee, Woojin (Thesis advisor) / Hultsman, Wendy (Thesis advisor) / Larsen, Dale (Committee member) / Chisum, Jack (Committee member) / Arizona State University (Publisher)
Created2014
Description
Wittgenstein’s claim: anytime something is seen, it is necessarily seen as something, forms the philosophical foundation of this research. I synthesize theories and philosophies from Simondon, Maturana, Varela, Wittgenstein, Pye, Sennett, and Reddy in a research process I identify as a paradigm construction project. My personal studio practice of inventing experiential media systems is a key part of this research and illustrates, with practical examples, my philosophical arguments from a range of points of observation. I see media systems as technical objects, and see technical objects as structurally determined systems, in which the structure of the system determines its organization. I identify making, the process of determining structure, as a form of structural coupling and see structural coupling as a means of knowing material. I introduce my theory of conceptual plurifunctionality as an extension to Simondon’s theory. Aspects of materiality are presented as a means of seeing material and immaterial systems, including cultural systems. I seek to answer the questions: How is structure seen as determining the organization of systems, and making seen as a process in which the resulting structures of technical objects and the maker are co-determined? How might an understanding of structure and organization be applied to the invention of contemporary experiential media systems?
ContributorsLahey, Byron (Author) / Burleson, Winslow (Thesis advisor) / Xin Wei, Sha (Committee member) / Collins, Daniel (Committee member) / Paine, Garth (Committee member) / Arizona State University (Publisher)
Created2015
Description
This study offers a critical discourse analysis of four Saudi newspapers, examining their coverage of two particular incidents relating to the Committee for the Promotion of Virtue and the Prevention of Vice. Following van Dijk’s framework, the study examines the ideological role of language within media discourse. The tools of analysis include headlines, leads, lexical choices, reported speech, unnamed sources, and silenced texts. The findings of the study show that there are differences between the four newspapers in the coverage of the two incidents. The analysis also reveals different ideological attitudes among writers.
ContributorsAlshalawi, Hamad (Author) / Adams, Karen L (Thesis advisor) / Long, Elenore (Committee member) / Prior, Mathew (Committee member) / Arizona State University (Publisher)
Created2016
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