• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 37
  • 7
  • 7
  • 2
  • 2
  • 2
  • 2
  • 2
  • 1
  • 1
  • 1
  • Tagged with
  • 76
  • 25
  • 25
  • 25
  • 24
  • 14
  • 13
  • 13
  • 12
  • 12
  • 11
  • 10
  • 9
  • 8
  • 8
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The incidence of death among low-risk populations: a multi-level analysis

Lewinski, Christi Nicole 17 September 2007 (has links)
This study utilized a multi-level model to examine the impact of religion as an occupation on mortality. Death certificate data were used to examine clergy mortality and compares them to census categorized professionals, counseling professionals and unmarried clergy. Individuals mortality exist in, and is influenced by the state they resided and died in. Because of this, they are not only examined on the individual level, they are also nested in their respective state of death. A series of hierarchical linear models were estimated in order to determine the effects of the different influence levels (individual and state). Findings suggest that clergy have a significant life advantage over professionals and counseling professionals. Married clergy have significant years of life disadvantage when compared to unmarried clergy. Implications of this research are discussed and considerations for future research are presented.
2

The incidence of death among low-risk populations: a multi-level analysis

Lewinski, Christi Nicole 17 September 2007 (has links)
This study utilized a multi-level model to examine the impact of religion as an occupation on mortality. Death certificate data were used to examine clergy mortality and compares them to census categorized professionals, counseling professionals and unmarried clergy. Individuals mortality exist in, and is influenced by the state they resided and died in. Because of this, they are not only examined on the individual level, they are also nested in their respective state of death. A series of hierarchical linear models were estimated in order to determine the effects of the different influence levels (individual and state). Findings suggest that clergy have a significant life advantage over professionals and counseling professionals. Married clergy have significant years of life disadvantage when compared to unmarried clergy. Implications of this research are discussed and considerations for future research are presented.
3

Rénovation urbaine et continuités populaires : une recherche socio-filmique en ville moyenne / Urban renewal and working-class continuity : a social film research in a medium-sized town

Balteau, Emilie 13 November 2019 (has links)
Ancrée dans la monographie d'un quartier d'habitat social situé en ville moyenne (Auxerre) et adossée à un cadre théorique réhabilitant la classe sociale, cette thèse interroge, à travers les deux formes qu'elle revêt (un texte et un film), les effets de la politique de rénovation urbaine contemporaine sur les populations des quartiers ciblés.La recherche montre la manière dont la rénovation urbaine, en transformant les espaces physiques et la composition de la population locale, procède d'un mouvement de différenciation entre quartiers et entre secteurs, qui tend à rejouer le clivage entre la cité et le pavillon (lequel confère notamment ses allures au « nouveau » quartier étudié). Ce faisant, la rénovation urbaine retravaille le statut socio-résidentiel des habitant qui se prêtent dans ce cadre à un jeu de distanciation complexe – visible dans les rapports (variés) qu'ils entretiennent à l'espace, tant en termes de représentations que des conduites.En même temps, à travers ces rapports à l'espace pourtant faits de différences et oppositions, la recherche donne à voir la rénovation urbaine comme une mise à l'épreuve générale où se réaffirme l'appartenance commune des habitants aux classes populaires. En éprouvant inévitablement leurs richesses et leurs relations, elle contribue en particulier à souligner l'étroitesse des ressources économiques des habitants et révèle également l'importance que conserve la sociabilité locale.Cette dernière participe d'un ensemble de tentatives de réappropriation qui jalonnent les paroles et pratiques des habitants et enjoignent de ne pas succomber à l'image d'une domination unilatérale, aussi fondamentales que puissent apparaitre les contraintes pratiques et symboliques dans lesquelles les classes populaires évoluent. / Rooted in the monograph of a social housing neighborhood situated in a middle-sized city (Auxerre) and leaning on a theoretical framework rehabilitating social class, this thesis addresses the effects of the contemporary urban renewal on the targeted neighborhoods' population, through two forms (a text and a movie).The research shows how urban renewal, while transforming spaces and the composition of the local population, creates a movement of differentiation between neighborhoods and sectors, which tends to widen the (social) divide between housing estates and detached houses (that convey character to the “new” neighborhood in question). In doing so, urban renewal rebrands the socio-residential status of the inhabitants that are playing a game of complex detachment – which can be observed in the various connections they have with space, whether in terms of representation or conduct.Meanwhile, through the connections to space, made of differences and oppositions, the research shows urban renewal as a global probation in which the inhabitants' communal belonging to working classes gets confirmed. While putting their wealth and connections to the test, it underlines the narrowness of their economic resources and reveals the fundamental importance of local sociability.The latter contributes to a number of reappropriation attempts that punctuate the words and customs of the inhabitants, and demand not to give way to a unilateral domination, as essential as the practical and symbolic constraints in which the working classes evolve may seem.
4

The Role of Attention in Goal Setting

Meacham, Kristina A. 20 May 2004 (has links)
This study examined the role of attention in goal setting theory, using techniques adapted from selective attention research. Specifically, it explored activation and suppression of goal related information in the presence of two conflicting assigned goals. Pre vs. post goal completion and goal commitment were examined as moderators of these attentional effects. In addition, exploratory analyses looked at the impact of individual differences on attention (goal preference & action-state orientation). Analyses were conducted using three-level hierarchical linear modeling (HLM), where repeated measures occur within trials, which are nested within individuals. In general, results failed to support the hypotheses. However, weak support was found for attentional effects when commitment was also taken into consideration. Further, while commitment was not found to have the strong moderating influence on attention that was hypothesized, there is some evidence for its overall importance to the attentional mechanism of the goal/performance relationship. / Master of Science
5

Resource portfolio management: bundling process

Worthington, William John 15 May 2009 (has links)
Managers within firms seek to align their portfolio of capabilities to best respond to their competitive environment. Processes used by firms to acquire resources, bundle those resources into capabilities, and then leverage those capabilities to obtain competitive advantage are of interest to scholars and practitioners alike. In this study I explore the bundling process and how firms create advantage from its use in different environmental conditions. Using policy capturing survey techniques analyzed with hierarchial linear modeling while manipulating environmental contexts of dynamism, munificence, and punctuated threats, I observe how firms vary their resource bundling processes to create advantage and improve performance. For each combination of environmental condition, hypotheses are presented and tested with respect to firm response. Due to a lack of differentiation between the three bundling sub-processes, several proposed hypotheses were not testable and thus, unsupported. Current theory details three bundling sub-processes; however, I demonstrate evidence that fewer or greater numbers of sub-processes may be required to capture the bundling process. Other evidence suggests that firms do alter bundling sub-processes in response to changing conditions of munificence, but fail to do so during punctuated events.
6

集団ごとに収集された個人データの分析(2) ― 分散分析とHLM (Hierarchical Linear Model) の比較 ―

尾関, 美喜, OZEKI, Miki 28 December 2007 (has links)
No description available.
7

A Monte Carlo Investigation of Three Different Estimation Methods in Multilevel Structural Equation Modeling Under Conditions of Data Nonnormality and Varied Sample Sizes

Byrd, Jimmy 14 January 2010 (has links)
The purpose of the study was to examine multilevel regression models in the context of multilevel structural equation modeling (SEM) in terms of accuracy of parameter estimates, standard errors, and fit indices in normal and nonnormal data under various sample sizes and differing estimators (maximum likelihood, generalized least squares, and weighted least squares). The finding revealed that the regression coefficients were estimated with little to no bias among the study design conditions investigated. However, the number of clusters (group level) appeared to have the greatest impact on bias among the parameter estimate standard errors at both level-1 and level-2. In small sample sizes (i.e., 300 and 500) the standard errors were negatively biased. When the number of clusters was 30 and cluster size was held at 10, the level-1 standard errors were biased downward by approximately 20% for the maximum likelihood and generalized least squares estimators, while the weighted least squares estimator produced level-1 standard errors that were negatively biased by 25%. Regarding the level-2 standard errors, the level-2 standard errors were biased downward by approximately 24% in nonnormal data, especially when the correlation among variables was fixed at .5 and kurtosis was held constant at 7. In this same setting (30 clusters with cluster size fixed at 10), when kurtosis was fixed at 4 and the correlation among variables was held at .7, both the maximum likelihood and generalized least squares estimators resulted in standard errors that were biased downward by approximately 11%. Regarding fit statistics, negative bias was noted among each of the fit indices investigated when the number of clusters ranged from 30 to 50 and cluster size was fixed at 10. The least amount of bias was associated with the maximum likelihood estimator in each of the data normality conditions examined. As sample size increased, bias decreased to near zero when the sample size was equal to or greater than 1,500 with similar results reported across estimation methods. Recommendations for the substantive researcher are presented and areas of future research are presented.
8

Sample Size in Ordinal Logistic Hierarchical Linear Modeling

Timberlake, Allison M 07 May 2011 (has links)
Most quantitative research is conducted by randomly selecting members of a population on which to conduct a study. When statistics are run on a sample, and not the entire population of interest, they are subject to a certain amount of error. Many factors can impact the amount of error, or bias, in statistical estimates. One important factor is sample size; larger samples are more likely to minimize bias than smaller samples. Therefore, determining the necessary sample size to obtain accurate statistical estimates is a critical component of designing a quantitative study. Much research has been conducted on the impact of sample size on simple statistical techniques such as group mean comparisons and ordinary least squares regression. Less sample size research, however, has been conducted on complex techniques such as hierarchical linear modeling (HLM). HLM, also known as multilevel modeling, is used to explain and predict an outcome based on knowledge of other variables in nested populations. Ordinal logistic HLM (OLHLM) is used when the outcome variable has three or more ordered categories. While there is a growing body of research on sample size for two-level HLM utilizing a continuous outcome, there is no existing research exploring sample size for OLHLM. The purpose of this study was to determine the impact of sample size on statistical estimates for ordinal logistic hierarchical linear modeling. A Monte Carlo simulation study was used to investigate this research query. Four variables were manipulated: level-one sample size, level-two sample size, sample outcome category allocation, and predictor-criterion correlation. Statistical estimates explored include bias in level-one and level-two parameters, power, and prediction accuracy. Results indicate that, in general, holding other conditions constant, bias decreases as level-one sample size increases. However, bias increases or remains unchanged as level-two sample size increases, holding other conditions constant. Power to detect the independent variable coefficients increased as both level-one and level-two sample size increased, holding other conditions constant. Overall, prediction accuracy is extremely poor. The overall prediction accuracy rate across conditions was 47.7%, with little variance across conditions. Furthermore, there is a strong tendency to over-predict the middle outcome category.
9

A self-determination perspective on students’ differentiated experiences of academic motivation and course well-being across courses

Kim, Hyunjin, 1974 Jan. 10- 20 October 2010 (has links)
For many years, researchers and educators have been concerned about achievement scores but seemed less interested in students’ happiness and psychological well-being at school. However, students’ psychological well-being experiences may facilitate students’ adjustment and ultimately lead to academic achievement. It can be assumed that students’ different motivational and well-being experiences in each course would contribute to students’ overall psychological well-being. The purpose of this study was to investigate how and why students experience different levels and kinds of motivation and well-being across courses. As the preliminary and important ground to allow me to address this purpose, I needed to establish first whether students experienced different levels of academic motivation and course well-being across the courses they were taking. A total of 505 students participated in this study and provided information about 1817 courses they were taking. The participants come from a subject pool of one department that attracted students from diverse majors. Multilevel modeling was used to explore different situational (Level 1) and personal experiences (Level 2) of motivation and course well-being across courses and across students. The unconditional model showed variability of perceptions at Levels 1 and 2 indicating that students did vary in their reports across courses and that nevertheless, there were individual differences across students in their aggregate experiences. The conditional model was used to test what course characteristics were associated with motivational and well-being indicators at the situational level. Course characteristics were taken from different constructs: course value, classroom structure, teacher characteristics, classroom goal structure, and a caring classroom climate. Predictors at the personal level included students’ sex and their perceptions of general needs for relatedness, general relatedness need fulfillment in everyday life, and personal growth. Having supported the preliminary hypothesis with the unconditional model that there was variance both within student and between students, I used the conditional model and found that various course characteristics were differently associated with academic motivation and course well-being. Overall, results addressed that teacher characteristics and a caring classroom climate were strongly associated with all the different kinds of motivational and course well-being indicators. Students’ personal characteristics were, also, differently related to these outcomes. / text
10

What matters to student-athletes in college experiences

Zhao, Yan January 2013 (has links)
Thesis advisor: Henry Braun / Informed by Astin's Input-Environment-Outcome (I-E-O) model and Pascarella's general model, this study explored the nature of student-athletes' engagement in educationally purposeful activities, described their engagement patterns, and revealed the relationships between student engagement factors and college outcomes by class and gender for 2596 student-athletes from 30 Division-I institutions. This research demonstrated that the NSEE Five Benchmarks constructed for the general population did not fit student-athletes. Therefore, engagement factors for student-athletes were constructed based on a subset of component items from the Five Benchmarks. Hierarchical Linear Models (HLM) were then applied to National Survey for Student Engagement (NSSE) 2006 and the aggregated school level data from the NCAA. The research results reveal that the association patterns between engagement factors and college outcome variables Satisfaction (SA), General Education and Personal Competence (GEPC), and Personal and Social Development (PSD) across all class and gender subgroups are very similar, but differ from those for GPA. This research concludes that engagement in educationally purposeful activities is the best predictor for student-athletes' college outcomes (except GPA). The analyses also reveal that what students do on campus contributes more to their college outcomes than who they were at matriculation and which school they attend. In particular, for all outcomes, the fraction of the total variance due to between-school differences was very small and the relationships between the coefficients of school-level equations and school-level characteristics were inconsistent. The results of this study, along with other related studies, can help colleges devise strategies to better fulfill their primary obligation to create genuine educational opportunities for their student-athletes through fostering their holistic development. / Thesis (PhD) — Boston College, 2013. / Submitted to: Boston College. Lynch School of Education. / Discipline: Educational Research, Measurement and Evaluation.

Page generated in 0.0268 seconds