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Morris, Nathan J. "Multivariate and Structural Equation Models for Family Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1247004562.
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Preacher, Kristopher J. "The Role of Model Complexity in the Evaluation of Structural Equation Models." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1054130634.
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Cunningham, Shaylyn, and University of Lethbridge Faculty of Education. "Anxiety, depression and hopelessness in adolescents : a structural equation model." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Education, 2005, 2006. http://hdl.handle.net/10133/344.
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This study tested a structural model, examining the relationship between a latent variable
termed demoralization and measured variables (anxiety, depression and hopelessness) in
a community sample of Canadian youth. The combined sample consisted of data
collected from four independent studies from 2001 to 2005. Nine hundred and seventy
one (n=971) participants in each of the previous four studies were high school students
(grades 10-12) from three geographic locations: Calgary, Saskatchewan and Lethbridge.
Participants completed a battery of self-report questionnaires including the Beck Anxiety
Inventory (BAI), Beck Depression Inventory-Revised (BDI-II), Beck Hopelessness Scale
(BHS), and demographic survey. Structural equation modeling was used for statistical
analysis. The analysis revealed that the final model, including depression, anxiety and
hopelessness and one latent variable demoralization, fit the data (chi-square value, X2 (2)
=7.24, p<. 001, goodness of fit indices (CFI=0.99, NFI=0.98) and standardized error
(0.05). Overall, the findings suggest that close relationships exist among depression,
anxiety, hopelessness and demoralization. In addition, the model was stable across
demographic variables: sex, grade, and location. Further, the model explains the
relationship between sub-clinical anxiety, depression and hopelessness. These findings
contribute to a theoretical framework, which has implications with educational and
clinical interventions. The present findings will help guide further preventative research
in examining demoralization as a precursor to sub-clinical anxiety and depression.xi, 127 leaves ; 29 cm.
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Jaffari, Fathima. "MODEL-FREE MEASUREMENT OF CASE INFLUENCE IN STRUCTURAL EQUATION MODELING." OpenSIUC, 2019. https://opensiuc.lib.siu.edu/dissertations/1689.
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This study introduces a new model-free case influence measure (DOCR) to the SEM field and evaluates its performance compared to that of Mahalanobis Distance (MD) and Generalized Cook’s Distance (gCD) when the sample size, proportion of target cases to non-target cases, and type of model used to generate the data are manipulated. The findings suggest the DOCR measure generally performed better than MD and gCD in identifying the target cases across all simulated conditions. However, the performance of the DOCR measure under small sample size was not satisfactory, and it raised a red flag about the sensitivity of this measure to small sample sizes. Therefore, researchers and practitioners should only use the DOCR measure with sufficiently large sample sizes, but not larger than 600.
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Moxley-Paquette, Elizabeth Ann. "Testing a Structural Equation Model of Language-based Cognitive Fitness." ScholarWorks, 2014. https://scholarworks.waldenu.edu/dissertations/1545.
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The normative development of language is often taken for granted, yet problems with language development can result in stress for the individual and family. A challenge with these language development problems lies within the contemporary education system, which assumes that children have appropriate skills when they begin school. The purpose of the study was to test a theoretical model of language readiness known as language-based cognitive fitness, which includes measures associated with structural concepts of language involving receptive language, expressive language, spontaneous narrative speech, and writing fluency. The sample included children from a private school who received an extensive battery of tests at admission and annually thereafter. Scores from a variety of cognitive measures were used in a structural equation modeling framework to test the model. Results demonstrated language-based cognitive fitness to be an interplay of verbal reasoning abilities, visual synthesis, and active analysis broadly representing receptive language, expressive language, spontaneous narrative expression, and writing fluency. Verbal reasoning, visual synthesis, and active analysis explained 91% of the variance in achievement. Implications for positive social change include an improved understanding for those who work with children's language development, specifically of the language structures responsible for language deficits and how these relate to overall cognitive fitness; interventions can be provided to help children more quickly make up language deficits.
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Yoo, Keunyoung. "Probabilistic SEM : an augmentation to classical Structural equation modelling." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/66521.
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Structural equation modelling (SEM) is carried out with the aim of testing hypotheses
on the model of the researcher in a quantitative way, using the sampled data. Although
SEM has developed in many aspects over the past few decades, there are still numerous
advances which can make SEM an even more powerful technique. We propose representing
the nal theoretical SEM by a Bayesian Network (BN), which we would like to call a
Probabilistic Structural Equation Model (PSEM). With the PSEM, we can take things
a step further and conduct inference by explicitly entering evidence into the network and
performing di erent types of inferences. Because the direction of the inference is not an
issue, various scenarios can be simulated using the BN. The augmentation of SEM with
BN provides signi cant contributions to the eld. Firstly, structural learning can mine
data for additional causal information which is not necessarily clear when hypothesising
causality from theory. Secondly, the inference ability of the BN provides not only insight
as mentioned before, but acts as an interactive tool as the `what-if' analysis is dynamic.Mini Dissertation (MCom)--University of Pretoria, 2018.
Statistics
MCom
Unrestricted
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Aydin, Utkun. "A Structural Equation Modeling Study: The Metacognition-knowledge Model For Geometry." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608523/index.pdf.
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The purpose of this study is twofold: (1) to examine the effects of knowledge on cognition and regulation of cognition on declarative knowledge, conditional knowledge, and procedural knowledge in geometry and (2) to examine the interrelationships among declarative knowledge, conditional knowledge, and procedural knowledge in geometry. The reciprocal relationships between metacognitive and knowledge factors were modeled by using data from tenth grade secondary school students.
Structural equation modeling was used to test the hypothesized relationships of two metacognitive factors (knowledge of cognition, regulation of cognition) and three knowledge factors (declarative knowledge, conditional knowledge, procedural knowledge). The observed variables representing the latent variables were determined by carrying out exploratory factor analysis and confirmatory factor analysis for the metacognitive awareness inventory and geometry knowledge test separately.
Major findings revealed: (1) Declarative knowledge significantly and positively influences conditional and procedural knowledge(2) Procedural knowledge has a signitificant and positive direct effect on conditional knowledge
(3) Declarative knowledge has a positive indirect effect on conditional knowledge
(4) Knowledge of cognition significantly and positively influences procedural knowledge
(5) Regulation of cognition has a significant but negative direct effect on procedural knowledge
(6) Knowledge of cognition has positive indirect effects on conditional and procedural knowledge
(7) Regulation of cognition has negative indirect effects on conditional and procedural knowledge
(8) Knowledge of cognition and regulation of cognition have non-significant direct effect on declarative and conditional knowledge. The results showed that knowledge of cognition has the strongest direct effect on procedural knowledge and the direct effect of declarative knowledge on conditional knowledge is stronger than on procedural knowledge. In view of the findings considerable suggestions is provided for teachers, instructional designers, and mathematics education researchers.
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Busko, Deborah Ann. "Causes and consequences of perfectionism and procrastination, a structural equation model." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0004/MQ31814.pdf.
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Chandio, Fida Hussain. "Studying acceptance of online banking information system : a structural equation model." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/6153.
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Acceptance of information technology (IT) has remained a topic of interest for a last few decades. Several theories, specifically over the conceptualisation of the technology acceptance model (TAM) have emerged and they have been applied in different contexts to investigate new insights into the acceptance behaviour at individual and organisational levels. However, despite TAM’s maturity and validity in different contexts, very little published literature strives to extend its capability to predict individuals’ acceptance behaviour about an online banking information system (OBIS). A possible rational for this gap may be conceptualisation of the TAM under which individuals’ acceptance behaviour can only be predicted with two beliefs: perceived ease of use (PEOU) and perceived usefulness (PU). The evidence in literature shows that PU and PEOU beliefs are not sufficient; hence, they may not explain individuals’ acceptance behaviour in emerging contexts, such as online banking information systems, especially in developing economies such as Pakistan. There is therefore a need for inclusion of any additional factor that can enhance prediction of acceptance of online banking information system by potential users. Extending research on the TAM, this study developed and tested a model of OBIS acceptance. The proposed model integrated key constructs from the information systems acceptance research stream into the theoretical frame of the TAM and other theories from social psychology, such as the theory of reasoned action (TRA), theory of planned behaviour (TPB) and the TAM2. According to the proposed conceptual model, OBIS acceptance was determined by eight main factors, which included perceived usefulness, perceived ease of use, trust, technological self-efficacy, response time, output quality, accessibility, and terminology clarity. In this model, PU was hypothesised to be affected by PEOU, trust, technological self-efficacy (TSE), output quality (OQ) and response time (RT). In addition, PEOU was hypothesised to be determined by three external factors: TSE, accessibility and terminology clarity (TC). The model was tested on a sample of 353 Internet banking users in Pakistan. Using structural equation modelling with Analysis of Moment Structures (AMOS) software, data analysis showed considerable support for the extended hypothesised model. The result indicated that, in order of importance, PU, PEOU and trust explained 45.7 % of the variance in the acceptance behaviour. The trust and the TSE predicted 28.1 % of the variance in the PU. However, the hypothesised relationships between the PU and the PEOU, OQ and RT were found to be not significant. While in the PEOU, 21.8 % of the variance was predicted by the TSE, accessibility and TC. TSE was found to be a more influential determinant of the PEOU than the PU. The consideration of factors that have a significant influence on the acceptance of OBIS, as identified in this research, is important for the managers in the banking sector, especially in developing countries, in order to increase wider acceptance and use of these systems, which provide benefits to both the customers and the service providers.
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Dolan, Amanda Avery. "Synthesizing Undergraduate College Student Persistence: A Meta-analytic Structural Equation Model." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1554756614807579.
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Craig, Stephen E. "A Structural Equation Model of Contributing Factors to Adolescent Social Interest." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc2213/.
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The focus of the present study was to test through SEM the relationships between family influences (FI) and school influences (SI) on factors hypothesized to be associated with adolescent social interest: school belonging (SB), extracurricular participation (EP), and peer/romantic involvement (PRI). The final model consisted of FI and SI that contributed to the expression of adolescent social interest. FI included parental communication and parental caring. SI consisted of teacher fairness. SB consisted of a child's self-reported feelings of belonging at school, EP included self-reported involvement in sports or academic clubs, and PRI consisted of self-reported desire for romantic involvement or desire for participation with others. The proposed model suggested that FI contributed significantly to self-reported SB, EP, and PRI. Additionally, it was hypothesized that SI would contribute significantly to SB and EP, but not to PRI. The data used in the current study were part of an existing data set collected as part of the National Longitudinal Study on Adolescent Health. The total sample size for the present study was 2,561 male and female adolescents aged 12-19 years. The data consisted of adolescent and parent self-report information. Results suggested a significant relationship between FI and self-reported SB and PRI. As expected, a significant relationship existed between SI and SB. Also as expected, no significant relationship existed between SI and PRI. Neither the relationship between FI and EP nor SI and EP were significant. When analyzed separately, a significant relationship existed between SB and PRI; however, no significant relationship was found between SB and EP. Results also indicated several of the fit indices, including the average off-diagonal absolute standardized residual, the comparative fit index (CFI), and the Bentler-Bonett non-normed fit index (BBNFI), were a low to moderate fit. However, the final model was highly skewed and the model chi-square and chi-square were both exceptionally high, indicating the model appeared to moderately fit the data, but the need for further refinement is clear.
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Song, Yang. "A Livable City Study in China Using Structural Equation Models." Thesis, Uppsala universitet, Statistiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154775.
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The concept of livable city was put forward naturally and began to gain more attention when people care more about human needs during the economic development. In this paper, we define a livable city as an urban area takes the residents' demand as first priority. It has a pleasant ecological environment, a mature community with rich public resources such as culture, transportation and medical system, and being economically well developed. Our study first reviews the theory development and literature on the subject. Then we set up a structural equation model (SEM) to verify the theory based on early works and find the dimensions that are important to the development of livable city. Using the data from China City Yearbook, 2007, a SEM analysis was performed. The result showed that a well developing economic system has positive influence on a city's livability.
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Miller, Barbara Manning Boynton Lois A. "Issue advocacy to community stakeholders a structural equation model of potential outcomes /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,134.
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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.Title from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the School of Journalism and Mass Communication." Discipline: Journalism and Mass Communication; Department/School: Journalism and Mass Communication, School of.
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Silvia, E. Suyapa M. "Effects of sampling error and model misspecification on goodness of fit indices for structural equation models /." The Ohio State University, 1988. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487597424138163.
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Woodruff, Elissa J. "Testing a Comprehensive Model of Muscle Dysmorphia Symptomatology in a Nonclinical Sample of Men." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc149688/.
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As increasing emphases are placed on the importance of a muscular male physique in Westernized culture, more men are experiencing eating, exercise, and body image (EEBI) disturbances. Clinician-researchers have identified a syndrome, termed muscle dysmorphia (MD), in which individuals, usually men, are pathologically preoccupied with their perceived lack of muscularity. The current study tested a modified version of an extant theoretical model of MD symptomatology as well as an alternative model of MD symptomatology. Over 700 adult men completed a demographic questionnaire, a symptom inventory, a self-esteem questionnaire, a measure of perfectionism, a measure of the media’s influence on EEBI disturbances, and measures of body dissatisfaction and MD symptoms. Structural equation modeling (SEM) was used to examine the goodness of fit of the proposed models. Overall, the first model demonstrated poor fit with the data. Conversely, the alternative model fit the data adequately. The alternative model was cross validated with a second sample, and also fit this data adequately.
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George, Benjamin Thomas. "Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc862733/.
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The current generation of structural equation modeling (SEM) is loosely split in two divergent groups - covariance-based and variance-based structural equation modeling. The relative newness of variance-based SEM has limited the development of techniques that extend its applicability to non-metric data. This study focuses upon the extension of general linear model techniques within the variance-based platform of partial least squares structural equation modeling (PLS-SEM). This modeling procedure receives it name through the iterative PLS‑SEM algorithm's estimates of the coefficients for the partial ordinary least squares regression models in both the measurement model and the overall structural model. This research addresses the following research questions: (1) What are the appropriate measures for data segmentation within PLS‑SEM? (2) What are the appropriate steps for the analysis of rank-ordered path coefficients within PLS‑SEM? and (3) What is an appropriate model selection index for PLS‑SEM? The limited type of data to which PLS-SEM is applicable suggests an opportunity to extend the method for use with different data and as a result a broader number of applications. This study develops and tests several methodologies that are prevalent in the general linear model (GLM). The proposed data segmentation approaches posited and tested through post hoc analysis of structural model. Monte Carlo simulation allows demonstrating the improvement of the proposed model fit indices in comparison to the established indices found within the SEM literature. These posited PLS methods, that are logical transfers of GLM methods, are tested using examples. These tests enable demonstrating the methods and recommending reporting requirements.
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Reitzel-Jaffe, Deborah D. "Predicting relationship abuse, a structural equation model analysis of a social learning explanation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ28518.pdf.
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Zhang, Lei. "Social capital accumulation, business governance, and enterprise performance : a structural-equation-model approach /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?SOSC%202007%20ZHANG.
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Cao, Jing. "A structural equation model of customers' behavioural intentions in the Chinese restaurant sector." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1504.
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The aim of this study is to develop a structural equation model (SEM) of customers’ behavioural intentions towards restaurant patronage in China. The study is set in the economic context of the Chinese open door policy of 1978 and the emergence of a service sector and middle class consumers with higher disposable incomes. The conceptual SEM is developed from the existing literature on customer loyalty, which includes constructs of perceived quality, sacrifice, perceived risk, perceived value, the Chinese cultural value of face, satisfaction, reputation, trust and behavioural intentions. A set of hypotheses concerning direct and indirect links between constructs is derived from the literature. The research methodology employs a self completion survey of customers of targeted restaurants that generated 489 valid responses. The questionnaire was designed with three thematic sections concerning restaurant visit behaviour, measures for each of the constructs, and respondents’ characteristics. Measurement scales for the constructs satisfied the minimum requirements of Cronbach’s alpha coefficient. The measurement models of the SEM constructs were evaluated using confirmatory factor analysis (CFA). They were accepted on the basis of measures of fit, the statistical significance and the signs of the coefficients. Preliminary analysis led to the modification of the conceptual SEM. The modified SEM was accepted on the basis of measures of fit, statistical significance and signs of coefficients, composite reliability, variance extracted and squared multiple correlation coefficients. Tests of hypotheses and tests for mediation provided for the analysis and decomposition of total effects on dependent constructs. The study establishes the relevance of traditional loyalty constructs, such as perceived quality, sacrifice, perceived risk, perceived value, satisfaction and reputation, and confirms the relevance of the Chinese cultural value of face. Total effect analysis reveals the importance of satisfaction, perceived value and perceived quality on customers’ behavioural intentions with associated benefits to commercial marketers in the hospitality sector.
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Scott, Colleen, Joel J. Hillhouse, and Rob Turrisi. "Student Column: Evaluating a Theoretical Model of Indoor Tanning Using Structural Equation Modeling." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etsu-works/55.
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Andrade, Joel T. "Psychosocial Precursors of Psychopathy in a Psychiatric Sample: A Structural Equation Model Analysis." Thesis, Boston College, 2009. http://hdl.handle.net/2345/1387.
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Thesis advisor: Thomas O'HarePsychopathy has received a marked increase in attention in the research literature over the past 2 decades since the validation and standardization of assessment tools designed to measure this construct, particularly the Psychopathy Checklist-measures (Hare, 1991/2003; Hart, Cox, & Hare, 1995; and Forth, Kosson, & Hare, 2003). Psychopathy has been identified as the best single predictor of violence among adult offenders (Hart, 1998). Such findings have led some to conclude that "psychopathy is the most important psychological construct for policy and practice in the criminal justice system" (Harris, Skilling, & Rice, 2001). Despite the overwhelming evidence of substantial societal and individual costs attributable to this disorder, little is known about psychosocial precursors of psychopathy. This study examines risk factors related to the development of psychopathy, as measured by the PCL:SV, in a sample of 446 psychiatric patients using structural equation modeling (SEM). The final SEM includes five predictor variables measuring early-life physical abuse, paternal antisocial behavior, and cognitive ability. Severe physical abuse (β = 0.17, p = .043), biological father's alcohol abuse history (β = .16, p =.004), biological father's arrest history (β = 0.13, p = .02), and the subject's cognitive ability (β = -0.18, p < .001) were found predictive of psychopathy in this sample. Post hoc analyses comparing male and female subjects, and black and white subjects, indicate different causal pathways in the development of psychopathy among these groups. Future research designed to assess these potentially different causal pathways are recommended. Implications to clinical theory, practice, and policy are also discussed
Thesis (PhD) — Boston College, 2009
Submitted to: Boston College. Graduate School of Social Work
Discipline: Social Work
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Galloway, David Bruce. "Prepotency of extrinsic and intrinsic factors on Job satisfaction: A structural equation model." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2267.
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Prosser, Diane Johnson. "Cognitive complexity, problem solving skill, and career decision making : a structural equation model /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687174987.
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Jung, Kwang Hee. "Dynamic GSCA generalized structured component analysis: a structural equation model for analyzing effective connectivity in functional neuroimaging." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106488.
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Structural equation modeling (SEM) is often used to investigate effective connectivity in functional neuroimaging studies. Modeling effective connectivity refers to an approach in which a number of specific brain regions, called regions of interest (ROIs), are selected according to some prior knowledge about the regions, and directional (causal) relationships between them are hypothesized and tested. Existing methods for SEM, however, have serious limitations in terms of their computational capacity and the range of models that can be specified. To alleviate these difficulties, I propose a new method of SEM for analysis of effective connectivity, called Dynamic GSCA (Generalized Structured Component Analysis). This method is a component-based method that combines the original GSCA and a multivariate autoregressive model to account for the dynamic nature of data taken over time. Dynamic GSCA can accommodate more elaborate structural models that describe relationships among ROIs and is less prone to computational difficulties, such as improper solutions and the lack of model identification, than the conventional methods of SEM. To illustrate the use of the proposed method, results of empirical studies based on synthetic and real data are reported. Further extensions of Dynamic GSCA are also discussed, including higher order components, multi-sample comparison, multilevel analysis, and latent interactions.La Modélisation par Équations Structurelles (MES) est souvent utilisée dans les études d'imagerie cérébrales fonctionnelles afin d'investiguer la connectivité effective. La modélisation de connectivité effective est une approche dans laquelle certaines régions cérébrales, appelées régions d'intérêts (RIs), sont spécifiquement sélectionnées à partir de connaissances établies sur ces régions, et des hypothèses sur les possibles liens directionnels (causals) entre les RIs sont formulées et testées. Par contre, les méthodes de MES existantes sont sérieusement limitées par leur capacité computationelle et le nombre et l'étendue des modèles qui peuvent être spécifiés. Afin d'adresser ces difficultés, je propose ici une nouvelle méthode de MES afin d'analyser la connectivité effective, appelée Analyse en Composantes Structurée Généralisée (ACSG) Dynamique. Cette méthode est une méthode basée sur les composantes, combinant la version originale des ACSGs et un modèle auto-régresseur multi-variable afin de tenir compte de la nature dynamique des données recueillies à différent temps. Les ACSG Dynamiques peuvent accommoder des modèles structurels plus complexes pour décrire les relations entre les RIs. De plus, comparé aux méthodes traditionnelles de MES, les ACSG Dynamiques sont moins susceptible de succomber aux difficultés computationelles, comme les solutions inappropriées et l'échec d'identification de modèle. Afin d'illustrer l'utilisation de la méthode proposée, des résultats d'études empiriques basées sur des données synthétiques et réelles sont présentées. Des extensions possibles des ACSG Dynamiques sont aussi discutées, incluant des composantes de plus haut niveau, la comparaison de plusieurs échantillons, l'analyse multi-niveau, et les interactions latentes.
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Brandmaier, Andreas Markus [Verfasser], and Antonio [Akademischer Betreuer] Krüger. "Permutation distribution clustering and structural equation model trees / Andreas Markus Brandmaier. Betreuer: Antonio Krüger." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2012. http://d-nb.info/1051586631/34.
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Nusair, Khaldoon A. "A model of commitment in B-to-C travel context a structural equation modeling /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180541376.
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Monroe-Ossi, Heather M. "Complexities of Technology Integration in the Elementary Classroom Context: A Structural Equation Model Study." UNF Digital Commons, 2016. http://digitalcommons.unf.edu/etd/622.
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Effectively integrating technology into classroom instruction presents teachers with several dilemmas about their understanding of how students learn, their approach to designing learning activities, and their conceptualization of their role as teachers (Windschitl, 2002). Using the Technological Pedagogical Content Knowledge (TPACK) model (Koehler & Mishra, 2005, 2009; Mishra & Koehler, 2006) as the conceptual model undergirding the research, this study was designed to build evidence towards establishing the validity and reliability of a measurement instrument employed to assess the technological, pedagogical, and content knowledge teachers utilize, as well as gain an understanding of how this knowledge is affected by teacher beliefs about technology use in classroom practice. Three contextual factors were also investigated, namely leadership support for technology, teaching self-efficacy, and traditional beliefs about children. Structural equation modeling (SEM) was selected for analyzing data gathered in this research design. The relationships among four latent factors and three latent variables were examined using measurement models to determine a final structural model. Results (N = 75) suggest that the TPACK-deep scale has potential as a measure of teachers’ beliefs about their technological, pedagogical, and content knowledge. The findings yielded by the present exploratory study pertain to Design, Exertion, Ethics, and Proficiency—which are considered the four factors of the TPACK-deep scale (Kabakci-Yurdakul et al., 2012). Furthermore, this study’s findings indicate positive predictive relationships between leadership support for technology and teachers’ beliefs about using technology in their classrooms. While positive predictive relationships between teachers’ teaching self-efficacy and their beliefs about technology integration in classroom practice were found, no statistically significant association between teachers’ beliefs about using technology and their traditional beliefs about children could be established for three (Design, Exertion, Ethics) of the four TPACK-deep factors under investigation.
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Kavish, Daniel Ryan. "Interactionist Labeling: A Structural Equation Model of Formal Labeling, Juvenile Delinquency, and Adult Criminality." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/dissertations/1311.
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This dissertation critically reviews prior labeling theory research concerning juvenile delinquency and adult criminality, and presents a structural equation model utilizing the National Longitudinal Study of Adolescent Health (Add Health). The labeling perspective is outlined as it was originally presented, and the theoretical elaborations that have taken place since are highlighted. Distinctions are made between formally applied criminal justice labels and the informal labels that are applied by significant others and parents. An interactionist labeling model that incorporates respondents’ levels of self-control is presented to explain formal labeling, levels of juvenile delinquency, and future criminality among a nationally representative sample of American adolescents: three waves of Add Health. The findings show that formal labeling was the strongest significant predictor of subsequent criminal involvement and that it mediated the effect of prior delinquency on subsequent criminal involvement.
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Brown, Chad M. "An Empirical Test of the Nontraditional Undergraduate Student Attrition Model Using Structural Equation Modeling." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176485072.
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Nusair, Khaldoon. "A model of commitment in B-to-C travel context: a structural equation modeling." The Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1180541376.
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Brandmaier, Andreas Markus Verfasser], and Antonio [Akademischer Betreuer] [Krüger. "Permutation distribution clustering and structural equation model trees / Andreas Markus Brandmaier. Betreuer: Antonio Krüger." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:291-scidok-45459.
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Booth, Thomas. "A review of the structure of normal range personality." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/a-review-of-the-structure-of-normal-range-personality(5ed8da05-4af3-43f4-952c-38edd8c89596).html.
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The current thesis presents five studies which consider the structure of normal range human personality as measured by psychometric inventories. The primary aim of the thesis was to develop a hierarchical model of the structure of human personality, which not only encapsulated the content of extant personality inventories, but extended the extant models to better represent the accumulated knowledge in the field of personality research. To do so, the thesis reports on the largest item level exploratory and confirmatory factor analytic investigation of the structure of personality to date. In Study 1, the utility of confirmatory factor analysis (CFA) for the investigation of personality structure was established by conducting dimensionality, structural and invariance analysis of the 16 Personality Factor Questionnaire, Version 5, using the US Standardization sample. The results clearly demonstrated that confirmatory models of personality inventories can display model fit, and that structures can be identified which are invariant across samples. In Study 2, 1,772 items from the Eugene-Springfield community sample were used to locate 78 unidimensional narrow personality facets, which were both substantively consistent and displayed strong psychometric properties. These 78 facets were then used to identify a second order 11 factor global structure to human personality, the 11+ Model. The 11+ Model was robust over different rotational criteria, and displayed excellent theoretical coverage of the personality sphere. However, confirmatory factor analyses of the 11 factor solution failed to demonstrate model fit. As a result, three further studies were conducted to explore the possible reasons for model misfit. In Study 3, the model fit of the new exploratory 11 factor solution was considered against model fit for extant structures and inventories. The results showed that across modelling strategy, the fit of newly identified structure was comparable to the extant inventories. In Study 4, the claim the model misfit is caused by the inherent complexity in personality was considered through an application of exploratory structural equation modelling (ESEM). ESEM has been argued to more adequately represent such complexity. Results suggested that the ESEM framework fails to offer additional information to help resolve the substantive problems in personality research. Finally, in Study 5, the sample size required to reliably estimate single factor confirmatory models, and second order structural models, was investigated using Monte Carlo simulations. The results suggest that samples of over 2000 are required to reliably estimate second order structural parameters in confirmatory factor analytic models. This finding suggests the samples used in much published research to investigate confirmatory structural models of personality inventories may be deficient.
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Caldarola, Bernardo. "Poverty traps in Southern rural Mozambique : a structural equation modelling approach." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/12861.
Full textAbstract:
Mestrado em Desenvolvimento e Cooperação InternacionalEste trabalho visa analisar o contexto de economia rural em três distritos da região Sul de Mozambique, para demonstrar a existência de mecanismos "aprisionadores" que detêm as famílias camponesas numa condição de pobreza. Todas as variáveis tomadas em conta para o estudo resultam de uma base de dados autoproduzida que inclui informação sobre a subsistência no contexto rural e o sector agrícola. Este trabalho utiliza a abordagem dos modelos de equações estruturais (SEM) para detectar as possíveis não-linearidades no processo de criação de riqueza, em particular a través da análise da saúde, do contexto institucional e de mercado, e da segurança alimentar em relação à riqueza das famílias. Recorrendo aos conceitos de complexidade, multidimensionalidade e causação cumulativa, procura-se demonstrar a existência de uma "armadilha da pobreza" a partir da análise das diversas dinâmicas relacionadas com a relação que existe entre segurança alimentar e bem-estar das famílias inquiridas. A metodologia adotada neste trabalho constitui uma alternativa aos testes tradicionalmente utilizados na investigação sobre as armadilhas da pobreza, pois inclui um numero maior de factores na analise da pobreza persistente. Em conclusão, os resultados da estimação do modelo fornecem algumas recomendações em termos de politicas de combate contra a pobreza, de acordo com as características especificas da zona.
This article analyses the rural economy of three districts in southern Mozambique, proving the existence of a lock-in device that keeps small-scale farmers and their households into poverty. All variables taken into account result from an original survey-based dataset which includes socio-economic information about rural livelihoods and the agricultural sector. A Structural Equation Modelling approach is adopted to detect non-linearity in wealth creation - in particular by analysing health, market/institutional environment and food security in relation to an asset-based measure of wealth. Drawing upon the concepts of complexity, multidimensionality and cumulative causation, this work proves the existence of a poverty trap by analysing the varying dynamics related to the relationship that exists between food security and wealth. The methodology adopted in this work represents an alternative to the traditional tests usually applied for the detection of poverty traps, including a wider number of factors in the study of persistent poverty; finally, it provides some useful policy recommendations regarding the struggle against poverty in this area.
N/A
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Kayan, Fadlelmula Fatma. "A Structural Model On 7th Grade Students." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613687/index.pdf.
Full textAbstract:
This study was conducted in an attempt to integrate a number of cognitive, motivational and behavioral factors in elementary mathematics education, and to develop a theoretical model that explains the direct and indirect relationships among these concepts and their underlying dimensions. In particular, it was intended to examine the interrelationships among students&rsquoachievement goal orientations, perception of classroom goal structure, self-efficacy, use of self-regulatory strategies, and academic achievement in mathematics. Participants were 1019 seventh grade students, enrolled in public elementary schools, located in four different urban and rural districts in Ankara. A self-report questionnaire and a mathematics achievement test were administered to the participants during their regular class periods. A pilot study was carried out with 250 seventh grade students, for conducting exploratory factor analysis. Structural equation modeling technique was used for data analysis. First, confirmatory factor analyses were conducted for each factor in the questionnaire. Then, a structural equation model was developed for the whole sample. Results revealed that students&rsquo
perceptions of classroom goal structure were directly linked to their adoption of achievement goal orientations. Among these goal orientations, only mastery goal orientation was associated with students&rsquo
use of learning strategies, which, in turn, related to their mathematics achievement. Among the learning strategies, only elaboration was significantly related to students&rsquo
mathematics achievement. Besides, self-efficacy was both directly and indirectly related to students&rsquo
adoption of achievement goals, use of learning strategies, and mathematics achievement.
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Smith, Kahsi Ann. "The development and testing of a social cognitive model of commitment : a structural equation analysis." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2009. http://wwwlib.umi.com/cr/syr/main.
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Osborne, Allan N. "Social conflict in construction-related inter-organizational collectives : a comparative analysis and structural equation model." Thesis, Northumbria University, 2005. http://nrl.northumbria.ac.uk/1875/.
Full textAbstract:
Irrespective of the groundswell of interest in construction industry conflict during the last two decades, there has been comparatively little research conducted that attempts to investigate the association between social conflict and ineffective construction industry inter-organizational relationships. This is despite the growing recognition that conditions conducive to effective social relationships between interdependent organizations contribute towards improved industrial productivity. This doctoral thesis contributes to the existing literature and empirical database on construction industry conflict by reporting the findings of a research project designed to explore the comparative organizational properties that encourage interdependence and the emergence of inter-organizational conflict during the construction process. The investigation builds upon and moderates an earlier comparative analysis of inter- organizational conflict by Molnar and Rogers (1979) in order to formulate a novel structural equation model. It includes as its database six case studies of medium- to large-scale new-build construction projects, selected from the north-eastern region of England, from which the networks of social relationships within the collectivities of construction-related organizations were examined from the perspective of the exogenous and endogenous comparative organizational properties. Primary data were collected during semi-structured interviews with twenty-three boundary role representatives of the twelve construction-related organizations responsible for the design and construction of the observed projects. The resultant structural equation model provides insight into the occurrence of inter-organizational conflict within the UK construction industry, in addition to explaining the key factors that influence the occurrence of ineffective construction industry inter-organizational relationships. In essence, this doctoral investigation has demonstrated the potential ability to predict the likelihood that social conflict will arise between interdependent construction- related organizations. Furthermore, it has paved the way for additional studies to be conducted to further understand the complex and intriguing aspects of construction industry inter-organizational relationships by presenting an accurately specified theoretical framework and an appropriately grounded methodological approach.
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Zulu, Sambo Lyson. "The impact of project management process quality on construction project performance : a structural equation model." Thesis, Heriot-Watt University, 2007. http://hdl.handle.net/10399/53.
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Sim, Yoon Young. "Motive-Goal Congruence, Imagination, and Well-Being: A Longitudinal Analysis with A Structural Equation Model." W&M ScholarWorks, 2018. https://scholarworks.wm.edu/etd/1530192821.
Full textAbstract:
The purpose of this study was to 1) examine individual differences in, and the 2) temporal precedence among, the motive-goal congruence, imagination, and well-being. I hypothesized that participants high in congruence will be high in spontaneous imagination and well-being assessments. For the temporal precedence, I proposed motive-goal congruence precedes spontaneous imagination and that spontaneous imagination precedes well-being. I employed the random intercepts cross-lagged panel model (RI-CLPM), the statistical model in which fully separate the within-person level from the between-person level. the current research partially supported the hypotheses with its detection of between-person level difference. Some possible reasons for the lack of support for the hypothesized lagged effects were discussed.
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Fassinger, Ruth E. "The testing of a structural equation model of women's career choice in two college populations /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487326511717012.
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Lancaster, Steven L. "AN EMPIRICAL TEST OF A COGNITIVE MODEL OF PTSD USING PATH ANALYSIS AND STRUCTURAL EQUATION MODELING." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/dissertations/388.
Full textAbstract:
This current study empirically tested elements of Ehlers and Clark's (2000) cognitive model of Posttraumatic Stress Disorder (PTSD) symptom maintenance using path analysis and structural equation modeling (SEM). Ehlers and Clark's model suggests that a reciprocal relationship between cognitive appraisals of the traumatic event and characteristics of the trauma memory maintain symptoms by increasing one's sense of current threat. Participants in the current study were 405 undergraduates at a Midwestern university who each reported having experienced at least one traumatic event during his/her lifetime. Path analysis was utilized to examine the possibility that one's posttraumatic cognitions may mediate the relationship between the centrality of the traumatic event to one's sense of self and one's current level of PTSD symptoms. The reverse mediation was also tested for each of the PTSD symptom clusters. Results indicate that both event centrality and posttraumatic cognitions are unique and independent predictors of current symptom level. SEM procedures were used to examine possible mediation as well as to test a reciprocal relationship between these predictors. Results are generally consistent with those from the path analysis although additional research is necessary before any firm conclusions can be stated. Overall, the results of this study support aspects of the cognitive model of PTSD; cognitive appraisals of the self and memory characteristics of the event were highly related to levels of distress. However, the current study suggests that overly integrated trauma memories lead to greater distress and not poorly integrated ones as suggested by Ehlers and Clark. The relationship between trauma memories and PTSD is in need of further study as is the role of memory and cognitions in the temporal development of PTSD.
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Grams, Brian C. "Privacy Concerns and Personality Traits Influencing Online Behavior: A Structural Model." Thesis, University of North Texas, 2005. https://digital.library.unt.edu/ark:/67531/metadc5573/.
Full textAbstract:
The concept of privacy has proven difficult to analyze because of its subjective nature and susceptibility to psychological and contextual influences. This study challenges the concept of privacy as a valid construct for addressing individuals' concerns regarding online disclosure of personal information, based on the premise that underlying behavioral traits offer a more reliable and temporally stable measure of privacy-oriented behavior than do snapshots of environmentally induced emotional states typically measured by opinion polls. This study investigated the relationship of personality characteristics associated with individuals' general privacy-related behavior to their online privacy behaviors and concerns. Two latent constructs, Functional Privacy Orientation and Online Privacy Orientation, were formulated. Functional Privacy Orientation is defined as a general measure of individuals' perception of control over their privacy. It was measured using the factors General Disclosiveness, Locus of Control, Generalized Trust, Risk Orientation, and Risk Propensity as indicator variables. Online Privacy Orientation is defined as a measure of individuals' perception of control over their privacy in an online environment. It was measured using the factors Willingness to Disclose Online, Level of Privacy Concern, Information Management Privacy Concerns, and Reported Online Disclosure as indicator variables. A survey questionnaire that included two new instruments to measure online disclosure and a willingness to disclose online was used to collect data from a sample of 274 adults. Indicator variables for each of the latent constructs, Functional Privacy Orientation and Online Privacy Orientation, were evaluated using corrected item-total correlations, factor analysis, and coefficient alpha. The measurement models and relationship between Functional Privacy Orientation and Online Privacy Orientation were assessed using exploratory factor analysis and structural equation modeling respectively. The structural model supported the hypothesis that Functional Privacy Orientation significantly influences Online Privacy Orientation. Theoretical, methodological, and practical implications and suggestions for analysis of privacy concerns and behavior are presented.
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Ducey, Adam J. "Predicting Tablet Computer Use: An Extended Technology Acceptance Model." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4471.
Full textAbstract:
While information technology has rapidly changed work in the United States in the past 50 years, some businesses and industries have been slow to adopt new technologies. Healthcare is one industry that has lagged behind in information technology investment for a variety of reasons. Recent federal initiatives to encourage IT adoption in the healthcare industry provide an ideal context to study factors that influence technology acceptance. Data from 261 practicing pediatricians were collected to evaluate an extended Technology Acceptance Model. Results indicated that individual (i.e., perceived usefulness, perceived ease of use), organizational (i.e., subjective norm), and device (i.e., compatibility, reliability) characteristics collectively influence pediatricians' intention to adopt tablet computers in their medical practice. Theoretical and practical implications are discussed. Future research should examine additional variables that influence information technology adoption in organizations.
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Emmioglu, Esma. "A Structural Equation Model Examining The Relationships Among Mathematics Achievement, Attitudes Toward Statistics, And Statistics Outcomes." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613751/index.pdf.
Full textAbstract:
The purpose of the current study was to investigate the structural relationships among self-reported mathematics achievement, attitudes toward statistics, and statistics outcomes by testing a structural model. The current study utilized a survey design. The participants of study consisted of 247 undergraduate and graduate students enrolled in statistics courses in a university in Turkey. The participants were from different disciplines such as engineering, education, and economics. The Turkish version of the Survey of Attitudes toward Statistics-36©(SATS-36©
) was used to collect data. The SATS-36©
assessed six components of statistics attitudes: cognitive competence, value, difficulty, effort, interest, and affect. Higher scores of the six components referred to the more positive attitudes. In addition, the SATS-36©
involved additional items to measure students&rsquo
self-reports of mathematics achievement and statistics outcomes. Results of the descriptive statistics analyses revealed that participants of the study had positive attitudes toward statistics except that they had neutral perceptions about the difficulty of statistics and neutral interest in statistics. Statistics outcomes variable was significantly correlated with mathematics achievement, affect, value, interest, and effort variables. Structural equation modeling was used to test the hypothesized structural regression model. Results indicated that affect, value, cognitive competence, and interest variables had large total standardized effects on statistics outcomes variable. Mathematics achievement and the effort variables had small total effects on explaining statistics outcomes. Difficulty had no statistically significant total effect on explaining statistics outcomes. Overall, the hypothesized structural regression model explained 66% of the total variance in statistics outcomes, which was statistically significant.
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Berg, Gina M. "Predicting global satisfaction ratings of quality health care among trauma patients: Testing a structural equation model." Diss., Wichita State University, 2009. http://hdl.handle.net/10057/2372.
Full textAbstract:
Background:
Patient satisfaction has been debated as an indicator of quality hospital care. It is debated in the literature as to whether or not patients can accurately judge technical quality of healthcare services.
Purpose of the Study:
The purpose of the study was to determine if patients’ perceptions of interpersonal care are related to or influence patients’ perceptions of technical care.Thesis (Ph.D.)--Wichita State University, College of Liberal Arts and Sciences, Dept. of Psychology
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Soucy, Michelle D. "A factor analytic investigation of the dynamics of autism, a structural equation model of diagnostic symptoms." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0031/NQ38508.pdf.
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Smith, Scott Milton. "School building quality and student performance in South Carolina public high schools a structural equation model /." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1211388818/.
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Trang, Tran Thi Tu, and 陳氏慈壯. "Construction Occupational Safety Model Using Structural Equation Models." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/q5v2pd.
Full textAbstract:
碩士國立臺灣科技大學
營建工程系
100
The construction industry has the largest number of injuries compared to other industries. Therefore, reducing accidents and determining construction risks are extremely important. One of the essential steps for construction safety management is hazard identification, in order to prevent fatal and injury accidents on construction sites. Near-miss accidents provide insights into possible accidents and provide a great opportunity to further improve safety margins. It is possibly to significantly improve the safety performance by learning from previous near-miss accidents. Safety management and safety appreciation continue to be the critical factors that influence the unsafe condition, unsafe behavior on construction site. In this research, a structural equation modeling (SEM) is proposed and operated in order to measure the impact mediating variables in the occupational safety to the near-miss on construction site. Furthermore, cross-country comparison of occupational safety state in the Taiwanese construction site and Vietnamese construction site was operated by analyzing data collected from different groups of respondents. The analysis provides an evidential basis with the evaluating indicators so that the authority and management board can define the cause effect and implicit cause for the actual situation of occupational safety systems on the construction site.
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Mohanlal, Pramod. "Structural equation modelling." Diss., 1997. http://hdl.handle.net/10500/17475.
Full textAbstract:
Over the past two decades there has been an upsurge in interest in structural equation
modelling (SEM). Applications abound in the social sciences and econometrics, but
the use of this multivariate technique is not so common in public health research.
This dissertation discusses the methodology, the criticisms and practical problems of
SEM. We examine actual applications of SEM in public health research.
Comparisons are made between multiple regression and SEM and between factor
analysis and SEM. A complex model investigating the utilization of antenatal care
services (ANC) by migrant women in Belgium is analysed using SEM. The
dissertation concludes with a discussion of the results found and on the use of SEM
in public health research. Structural equation modelling is recommended as a tool for
public health researchers with a warning against using the technique too casually.Mathematical Sciences
M. Sc. (Statistics)
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Chang, Wu-Han, and 張婺涵. "Structural Equation Model for Periodontal Disease." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/17352763382941608330.
Full textAbstract:
碩士國立臺灣大學
流行病學與預防醫學研究所
99
Background： Logistic regression model with binary outcome of periodontal disease (PD) has been traditionally used to investigate the associated risk factors. From statistical viewpoint, this approach dose not deal with the highly correlations between risk factors. From the preventive medicine viewpoint, the traditional approach fails to elucidate the causal relationships and pathways interplayed by these risk factors in association with PD. Aim： The aim of our study is to apply a series of structural equation models to build up a pathway diagram leading to PD through a series of causal relationships. Materials and Methods： Our study was based on national survey of the prevalence and risk factors in association with PD for adults aged 18 years on older in Taiwan. The sample size was 4061. Data on periodontal indexes, periodontal knowledge, lifestyle, eating habits and biomarkers were collected. Factor analysis was firstly used to find the construct aggregated by similar variables in each dimension. The measurement model is further built by using confirmatory factor analysis (CFA) to assess the covariance between constructs in addition to the relationship between variables and each construct. Finally, we built up the structural equation model (SEM) for PD by extending CFA. Result： Factor analysis was performed to form four constructs, periodontal knowledge, life style, eating habits and biomarkers. In measurement model, periodontal knowledge has negative relationship with periodontal indexes (-0.6528,p-value<0.0001), lifestyle has posistive relationship with biomarkers (0.6582,p-value<0.0001) and biomarkers has positive relationship with periodontal indexes (0.3705,p-value<0.0001). The exogenous variables in SEM are life style and periodontal knowledge, we found that the periodontal knowledge has direct effect on periodontal indexes (-0.6350,p-value=0.0230). Lifestyle, correlated to periodontal knowledge, may affect biomarkers (1.1255,p-value<0.0001) and, in turn, affect periodontal indexes (0.0663,p-value=0.0038). Conclusion： By the application of structural equation model, we constructed a pathway whereby the direct effect of periodontal knowledge and indirect effect of lifestyle through the influence of biomarkers on PD was demonstrated.
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"Bayesian criterion-based model selection in structural equation models." Thesis, 2010. http://library.cuhk.edu.hk/record=b6074920.
Full textAbstract:
Structural equation models (SEMs) are commonly used in behavioral, educational, medical, and social sciences. Lots of software, such as EQS, LISREL, MPlus, and WinBUGS, can be used for the analysis of SEMs. Also many methods have been developed to analyze SEMs. One popular method is the Bayesian approach. An important issue in the Bayesian analysis of SEMs is model selection. In the literature, Bayes factor and deviance information criterion (DIC) are commonly used statistics for Bayesian model selection. However, as commented in Chen et al. (2004), Bayes factor relies on posterior model probabilities, in which proper prior distributions are needed. And specifying prior distributions for all models under consideration is usually a challenging task, in particular when the model space is large. In addition, it is well known that Bayes factor and posterior model probability are generally sensitive to the choice of the prior distributions of the parameters. Furthermore the computational burden of Bayes factor is heavy. Alternatively, criterion-based methods are attractive in the sense that they do not require proper prior distributions in general, and the computation is quite simple. One of commonly used criterion-based methods is DIC, which however assumes the posterior mean to be a good estimator. For some models like the mixture SEMs, WinBUGS does not provide the DIC values. Moreover, if the difference in DIC values is small, only reporting the model with the smallest DIC value may be misleading. In this thesis, motivated by the above limitations of the Bayes factor and DIC, a Bayesian model selection criterion called the Lv measure is considered. It is a combination of the posterior predictive variance and bias, and can be viewed as a Bayesian goodness-of-fit statistic. The calibration distribution of the Lv measure, defined as the prior predictive distribution of the difference between the Lv measures of the candidate model and the criterion minimizing model, is discussed to help understanding the Lv measure in detail. The computation of the Lv measure is quite simple, and the performance is satisfactory. Thus, it is an attractive model selection statistic. In this thesis, the application of the Lv measure to various kinds of SEMs will be studied, and some illustrative examples will be conducted to evaluate the performance of the Lv measure for model selection of SEMs. To compare different model selection methods, Bayes factor and DIC will also be computed. Moreover, different prior inputs and sample sizes are considered to check the impact of the prior information and sample size on the performance of the Lv measure. In this thesis, when the performances of two models are similar, the simpler one is selected.Li, Yunxian.
Adviser: Song Xinyuan.
Source: Dissertation Abstracts International, Volume: 72-04, Section: B, page: .
Thesis (Ph.D.)--Chinese University of Hong Kong, 2010.
Includes bibliographical references (leaves 116-122).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstract also in Chinese.