812 resultados para structural equation modeling


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It is important to check the fundamental assumption of most popular Item Response Theory models, unidimensionality. However, it is hard for educational and psychological tests to be strictly unidimensional. The tests studied in this paper are from a standardized high-stake testing program. They feature potential multidimensionality by presenting various item types and item sets. Confirmatory factor analyses with one-factor and bifactor models, and based on both linear structural equation modeling approach and nonlinear IRT approach were conducted. The competing models were compared and the implications of the bifactor model for checking essential unidimensionality were discussed.

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Advances in medical technology, in genetics, and in clinical research have led to early detection of cancer, precise diagnosis, and effective treatment modalities. Decline in cancer incidence and mortality due to cancer has led to increased number of long-term survivors. However, the ethnic minority population has not experienced this decline and still continues to carry a disparate proportion of the cancer burden. Majority of the clinical research including survivorship studies have recruited and continue to recruit a convenient sample of middle- to upper-class Caucasian survivors. Thus, minorities are underrepresented in cancer research in terms of both clinical studies and in health related quality of life (HRQOL) studies. ^ Life style and diet have been associated with increased risk of breast cancer. High vegetable low fat diet has been shown to reduce recurrence of breast cancer and early death. The Women's Healthy Eating and Living Study is an ongoing multi-site randomized controlled trial that is evaluating the high-vegetable low fat diet in reducing the recurrence of breast cancer and early death. The purpose of this dissertation was to (1) compare the impact of the modified diet on the HRQOL during the first 12-month period on specific Minorities and matched Caucasians; (2) identify predictors that significantly impact the HRQOL of the study participants; and (3) using the structural equation modeling assess the impact of nutrition on the HRQOL of the intervention group participants. Findings suggest that there are no significant differences in change in HRQOL between Minorities and Caucasians; between Minorities in the intervention group and those in the comparison group; and between women in the intervention group and those in the comparison group. Minority indicator variable and Intervention/Comparison group indicator variable were not found to be good predictors of HRQOL. Although the structural equation models suggested viable representation of the relationship between the antecedent variables, the mediating variables and the two outcome variables, the impact of nutrition was not statistically significant to be included in the model. This dissertation, by analyzing the HRQOL of minorities in the WHEL Study, attempted to add to the knowledge base specific to minority cancer survivors. ^

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Few studies have investigated causal pathways linking psychosocial factors to each other and to screening mammography. Conflicting hypotheses exist in the theoretic literature regarding the role and importance of subjective norms, a person's perceived social pressure to perform the behavior and his/her motivation to comply. The Theory of Reasoned Action (TRA) hypothesizes that subjective norms directly affect intention; while the Transtheoretical Model (TTM) hypothesizes that attitudes mediate the influence of subjective norms on stage of change. No one has examined which hypothesis best predicts the effect of subjective norms on mammography intention and stage of change. Two statistical methods are available for testing mediation, sequential regression analysis (SRA) and latent variable structural equation modeling (LVSEM); however, software to apply LVSEM to dichotomous variables like intention has only recently become available. No one has compared the methods to determine whether or not they yield similar results for dichotomous variables. ^ Study objectives were to: (1) determine whether the effect of subjective norms on mammography intention and stage of change are mediated by pros and cons; and (2) compare mediation results from the SRA and LVSEM approaches when the outcome is dichotomous. We conducted a secondary analysis of data from a national sample of women veterans enrolled in Project H.O.M.E. (H&barbelow;ealthy O&barbelow;utlook on the M&barbelow;ammography E&barbelow;xperience), a behavioral intervention trial. ^ Results showed that the TTM model described the causal pathways better than the TRA one; however, we found support for only one of the TTM causal mechanisms. Cons was the sole mediator. The mediated effect of subjective norms on intention and stage of change by cons was very small. These findings suggest that interventionists focus their efforts on reducing negative attitudes toward mammography when resources are limited. ^ Both the SRA and LVSEM methods provided evidence for complete mediation, and the direction, magnitude, and standard errors of the parameter estimates were very similar. Because SRA parameter estimates were not biased toward the null, we can probably assume negligible measurement error in the independent and mediator variables. Simulation studies are needed to further our understanding of how these two methods perform under different data conditions. ^

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With substance abuse treatment expanding in prisons and jails, understanding how behavior change interacts with a restricted setting becomes more essential. The Transtheoretical Model (TTM) has been used to understand intentional behavior change in unrestricted settings, however, evidence indicates restrictive settings can affect the measurement and structure of the TTM constructs. The present study examined data from problem drinkers at baseline and end-of-treatment from three studies: (1) Project CARE (n = 187) recruited inmates from a large county jail; (2) Project Check-In (n = 116) recruited inmates from a state prison; (3) Project MATCH, a large multi-site alcohol study had two recruitment arms, aftercare (n = 724 pre-treatment and 650 post-treatment) and outpatient (n = 912 pre-treatment and 844 post-treatment). The analyses were conducted using cross-sectional data to test for non-invariance of measures of the TTM constructs: readiness, confidence, temptation, and processes of change (Structural Equation Modeling, SEM) across restricted and unrestricted settings. Two restricted (jail and aftercare) and one unrestricted group (outpatient) entering treatment and one restricted (prison) and two unrestricted groups (aftercare and outpatient) at end-of-treatment were contrasted. In addition TTM end-of-treatment profiles were tested as predictors of 12 month drinking outcomes (Profile Analysis). Although SEM did not indicate structural differences in the overall TTM construct model across setting types, there were factor structure differences on the confidence and temptation constructs at pre-treatment and in the factor structure of the behavioral processes at the end-of-treatment. For pre-treatment temptation and confidence, differences were found in the social situations factor loadings and in the variance for the confidence and temptation latent factors. For the end-of-treatment behavioral processes, differences across the restricted and unrestricted settings were identified in the counter-conditioning and stimulus control factor loadings. The TTM end-of-treatment profiles were not predictive of drinking outcomes in the prison sample. Both pre and post-treatment differences in structure across setting types involved constructs operationalized with behaviors that are limited for those in restricted settings. These studies suggest the TTM is a viable model for explicating addictive behavior change in restricted settings but calls for modification of subscale items that refer to specific behaviors and caution in interpreting the mean differences across setting types for problem drinkers. ^

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Objectives. The purpose of this study was to identify the psychosocial and environmental predictors and the pathways they use to influence calcium intake, physical activity and bone health among adolescent girls. Methods. A secondary data analysis using a cross-sectional and longitudinal study design was implemented to examine the associations of interest. Data from the Incorporating More Physical Activity and Calcium in Teens (IMPACT) study collected in 2001-2003 were utilized for the analyses. IMPACT was a 1½ year nutrition and physical activity intervention study conducted among 718 middle-school girls in central Texas. Hierarchical regression modeling and Structural Equation Modeling (SEM) were used to determine the psychosocial predictors of calcium intake, physical activity and bone health at baseline. Hierarchical regression was used to determine if psychosocial factors at baseline were significant predictors of calcium intake and physical activity at follow-up. Data was adjusted for included BMI, lactose intolerance, ethnicity, menarchal status, intervention and participation in 7th grade PE/athletics. Results. Results of the baseline regression analysis revealed that calcium self-efficacy and milk availability at home were the strongest predictors of calcium intake. Friend engagement in physical activity, physical activity self-efficacy and participation in sports teams were the strongest predictors of physical activity. Finally, physical activity outcome expectations, social support and participation in sports teams were significant predictors of stiffness index at baseline. Results of the baseline SEM path analysis found that outcome expectations and milk availability at home directly influenced calcium intake. Knowledge and calcium self-efficacy indirectly influenced calcium intake with outcome expectations as the mediator. Physical activity self-efficacy and social support had significant direct and indirect influence on physical activity with participation in sports teams as the mediator. Participation in sports teams had a direct effect on both physical activity and stiffness index. Results of regression analysis for baseline predicting follow-up showed that participation in sports teams, self-efficacy, outcome expectations and social support at baseline were significant predictors of physical activity at follow-up. Conclusion. Results of this study reinforce the relevance of addressing both, psychosocial and environmental factors which are critical when developing interventions to improve bone health among adolescent girls. ^

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The objective of this program is to reduce malaria incidence in Kenya. Malaria poses a large public health challenge in Kenya, and although public health efforts have traditionally been focused on treatment of infected patients, due to increased drug resistance and lack of drug-adherence, prevention strategies are needed. This program targets Kenyan women, the likely caretakers in the home, and promotes malaria prevention behaviors through health education. ^ A planning group will be assembled and a needs assessment will be performed, verifying risk factors and conditions associated with malaria, as well as personal and external determinants. Behavioral and environmental outcomes will be determined, and performance objectives for each outcome will be established. Matrices of change objectives will be created, and detailed methods and strategies will be linked to each change objective. Program elements include media, education, and incentives. All materials used in this program will be subjected to pre-test to ensure cultural relevance and fidelity. Matrices of change objectives will be created for program adopters and implementers, as well as correlating methods and strategies associated with each change objective. Performance objectives will also be compiled for program maintainers. A program evaluation plan will follow "Pre-Post Comparison Group" design. Outcome evaluation and process evaluation will be conducted. The sample population will be screened based on age and gender so as to maintain comparability to the target population. Measurements will be taken before the program to establish baseline, directly following the program to determine short-term effects, and three months after the program is completed to determine long-term effects. ^ One limitation of this program is selection bias, due to the nature of quasi-experimental studies. Thorough screening prior to sample selection will minimize selection bias and ensure group homogeneity. Another limitation is attrition, and this will be minimized where possible through the use of incentives. In cases where loss to follow-up is not avoidable, such as death or natural disasters, the attrition effect will be estimated using structural equation modeling after reviewing the sample size, differential attrition and total attrition. ^ This intervention is based heavily on health promotion theories, but it is important to remember that in the field, the program plan will likely include only the necessary practical strategies. The target population, Kenyan women of childbearing age, will be significant in decreasing the malaria disease burden in Kenya.^

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Over the past several decades, the prevalence of obesity has dramatically increased. Cause for concern has increased because overweight and obesity are major contributors to morbidity and mortality. Intervention research aimed at reducing the prevalence of obesity has identified the family, specifically the parent, as a key component of the home environment. However, findings from dietary behavior change interventions have been disheartening because few studies have reported meaningful change, suggesting methodological and/or measurement issues within the intervention process. A lack of appropriate mediators and cross-cultural equivalence may partially explain the reason for little change.^ The study aims were to (1) evaluate the psychometric properties and assess the cross cultural equivalence of the Food Insecurity Scale (paper 1) and the modified Parent Feeding Practices Questionnaire (paper 2) and to assess the overall relationships among food insecurity, parent mediators, and parent behaviors towards children's dietary behavior (paper 3) through structural equation modeling and tests of invariance. The study aims were accomplished through conducting secondary analyses using baseline data from English- and Spanish-speaking Hispanic women who participated in the Healthy Families: Step by Step (BHF) study.^ Results indicated that although the FIS and the mPFPQ exhibited sound psychometric properties, the instruments exhibited a lack of invariance across language spoken groups. The lack of invariance was more pronounced in the FIS. Results also supported the theoretical framework identifying parent's perceived barriers and self-efficacy as mediators of parent's behaviors toward improving children's health eating. Results did not suggest that the relationships were moderated by food insecurity.^ In conclusion, the identification of differential item functioning in food insecurity and parent feeding practices may be beneficial in enhancing tailored interventions through the incorporation of cultural differences into the change mechanisms. However, future research needs to be conducted to determine if the lack of invariance demonstrates the existence of item bias or if it is a reflection of true difference among the language spoken groups. Additionally, obesity intervention studies targeting parent/family barriers and parent self-efficacy to provide/encourage healthy diets may result in an increase in parent behaviors which promote healthy eating behaviors among children. Future research should also examine a more complete causal pathway to determine whether parental changes in the mediators ultimately lead to an increase in healthy dietary behavior among children.^

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Self-management is being promoted in cystic fibrosis (CF). However, it has not been well studied. Principal aims of this research were (1) to evaluate psychometric properties of a CF disease status measure, the NIH Clinical Score; (2) to develop and validate a measure of self-management behavior, the SMQ-CF scale, and (3) to examine the relation between self-management and disease status in CF patients over two years.^ In study 1, NIH Clinical Scores for 200 patients were used. The scale was examined for internal consistency, interrater reliability, and content validity using factor analysis. The Cronbach's alpha (.81) and interrater reliability (.90) for the total scale were high. General scale items were less reliable. Factor analysis indicated that most of the variance in disease status is accounted for by Factor 1 which consists of pulmonary disease items.^ The SMQ-CF measures the performance of CF self-management. Pilot testing was done with 98 CF primary caregivers. Internal consistency reliability, social desirability bias, and content validity using factor analysis were examined. Internal consistency was good (alpha =.95). Social desirability correlation was low (r =.095). Twelve factors identified were consistent with conceptual groupings of behaviors. Around two hundred caregivers from two CF centers were surveyed and multivariate analysis of variance was used to assess construct validity. Results confirmed expected relations between self-management, patient age, and disease status. Patient age accounted for 50% and disease status 18% of the variance in the SMQ-CF scale.^ It was hypothesized that self-management would positively affect future disease status. Data from 199 CF patients (control and education intervention groups) were examined. Models of hypothesized relations were tested using LISREL structural equation modeling. Results indicated that the relations between baseline self-management and Time 1 disease status were not significant. Significant relations were observed in self-management behaviors from time 1 to time 2 and patterns of significant relations differed between the two groups.^ This research has contributed to refinements in the ability to measure self-management behavior and disease status outcomes in cystic fibrosis. In addition, it provides the first steps in exploratory behavioral analysis with regard to self-management in this disease. ^

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Despite continued research and public health efforts to reduce smoking during pregnancy, prenatal cessation rates in the United States have decreased and the incidence of low birth weight has increased from 1985 to 1991. Lower socioeconomic status women who are at increased risk for poor pregnancy outcomes may be resistant to current intervention efforts during pregnancy. The purpose of this dissertation was to investigate the determinants of continued smoking and quitting among low-income pregnant women.^ Using data from cross-sectional surveys of 323 low-income pregnant smokers, the first study developed and tested measures of the pros and cons of smoking during pregnancy. The original decisional balance measure for smoking was compared with a new measure that added items thought to be more salient to the target population. Confirmatory factor analysis using structural equation modeling showed neither the original nor new measure fit the data adequately. Using behavioral science theory, content from interviews with the population, and statistical evidence, two 7-item scales representing the pros and cons were developed from a portion (n = 215) of the sample and successfully cross-validated on the remainder of the sample (n = 108). Logistic regression found only pros were significantly associated with continued smoking. In a discriminant function analysis, stage of change was significantly associated with pros and cons of smoking.^ The second study examined the structural relationships between psychosocial constructs representing some of the levels of and the pros and cons of smoking. The cross-sectional design mandates that statements made regarding prediction do not prove causation or directionality from the data or methods analysis. Structural equation modeling found the following: more stressors and family criticism were significantly more predictive of negative affect than social support; a bi-directional relationship was found between negative affect and current nicotine addiction; and negative affect, addiction, stressors, and family criticism were significant predictors of pros of smoking.^ The findings imply reversing the trend of decreasing smoking cessation during pregnancy may require supplementing current interventions for this population of pregnant smokers with programs addressing nicotine addiction, negative affect, and other psychosocial factors such as family functioning and stressors. ^

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The introduction of new medical treatments in recent years, commonly referred to as highly active antiretroviral therapy, has greatly increased the survival of patients with HIV/AIDS. As patients with HIV/AIDS continue to live longer, other important health-related outcomes, such as quality of life (QOL), should be thoroughly studied. There is also evidence that racial/ethnic minorities are disproportionately affected by HIV/AIDS, but potential health disparities among individuals already infected with HIV/AIDS have not been adequately examined in ethnically diverse populations. The purpose of this dissertation was to: (1) examine the impact of both demographic and behavioral variables on functional status and overall QOL among a population of ethnically diverse and economically disadvantaged HIV/AIDS patients; (2) examine the psychometric properties of a functional status measure—the Household and Leisure Time Activities questionnaire (HLTA); and (3) assess a proximal-distal theoretical framework for QOL using a full structural equation model in a population of patients with HIV/AIDS. Analyses were performed using data collected in the fall of 2000 from the project, Health and Work-Related Quality of Life and Health Risk Behaviors in a Multiethnic HIV-positive Population . Investigators from The University of Texas M.D. Anderson Cancer Center, The University of Texas-Houston Medical School, and The University of Texas School of Public Health conducted this project. The study site was the Thomas Street Clinic (TSC), a comprehensive HIV/AIDS care facility funded by the Harris County Hospital District (HCHD). TSC provides HIV/AIDS care to a diverse population of approximately 4000 medically indigent residents of Harris County. A systematic, consecutive sampling procedure yielded a sample size of 348 patients. Findings suggested that overall QOL, work-role functioning, household functioning, and leisure time functioning were impaired in this patient population. Results from the psychometric evaluation indicated that the HLTA was a reliable and valid measure of household and leisure time functioning status in a low-income multiethnic HIV-positive population. Finally, structural equation modeling of the proximal-distal QOL model suggested that this model was not a viable representation of the relationship between the study variables in this patient population. ^

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It is well known that ocean acidification can have profound impacts on marine organisms. However, we know little about the direct and indirect effects of ocean acidification and also how these effects interact with other features of environmental change such as warming and declining consumer pressure. In this study, we tested whether the presence of consumers (invertebrate mesograzers) influenced the interactive effects of ocean acidification and warming on benthic microalgae in a seagrass community mesocosm experiment. Net effects of acidification and warming on benthic microalgal biomass and production, as assessed by analysis of variance, were relatively weak regardless of grazer presence. However, partitioning these net effects into direct and indirect effects using structural equation modeling revealed several strong relationships. In the absence of grazers, benthic microalgae were negatively and indirectly affected by sediment-associated microalgal grazers and macroalgal shading, but directly and positively affected by acidification and warming. Combining indirect and direct effects yielded no or weak net effects. In the presence of grazers, almost all direct and indirect climate effects were nonsignificant. Our analyses highlight that (i) indirect effects of climate change may be at least as strong as direct effects, (ii) grazers are crucial in mediating these effects, and (iii) effects of ocean acidification may be apparent only through indirect effects and in combination with other variables (e.g., warming). These findings highlight the importance of experimental designs and statistical analyses that allow us to separate and quantify the direct and indirect effects of multiple climate variables on natural communities.

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Las organizaciones son sistemas o unidades sociales, compuestas por personas que interactúan entre sí, para lograr objetivos comunes. Uno de sus objetivos es la productividad. La productividad es un constructo multidimensional en la que influyen aspectos tecnológicos, económicos, organizacionales y humanos. Diversos estudios apoyan la influencia de la motivación de las personas, de las habilidades y destrezas de los individuos, de su talento para desempeñar el trabajo, así como también del ambiente de trabajo presente en la organización, en la productividad. Por esta razón, el objetivo general de la investigación, es analizar la influencia entre los factores humanos y la productividad. Se hará énfasis en la persona como factor productivo clave, para responder a las interrogantes de la investigación, referidas a cuáles son las variables humanas que inciden en la productividad, a la posibilidad de plantear un modelo de productividad que considere el impacto del factor humano y la posibilidad de encontrar un método para la medición de la productividad que contemple la percepción del factor humano. Para resolver estas interrogantes, en esta investigación se busca establecer las relaciones entre las variables humanas y la productividad, vistas desde la perspectiva de tres unidades de análisis diferentes: individuo, grupo y organización, para la formulación de un modelo de productividad humana y el diseño de un instrumento para su medida. Una de las principales fuente de investigación para la elección de las variables humanas, la formulación del modelo, y el método de medición de la productividad, fue la revisión de la literatura disponible sobre la productividad y el factor humano en las organizaciones, lo que facilitó el trazado del marco teórico y conceptual. Otra de las fuentes para la selección fue la opinión de expertos y de especialistas directamente involucrados en el sector eléctrico venezolano, lo cual facilitó la obtención de un modelo, cuyas variables reflejasen la realidad del ámbito en estudio. Para aportar una interpretación explicativa del fenómeno, se planteó el modelo de los Factores Humanos vs Productividad (MFHP), el cual se analizó desde la perspectiva del análisis causal y fue conformado por tres variables latentes exógenas denominadas: factores individuales, factores grupales y factores organizacionales, que estaban relacionadas con una variable latente endógena denominada productividad. El MFHP se formuló mediante la metodología de los modelos de ecuaciones estructurales (SEM). Las relaciones inicialmente propuestas entre las variables latentes fueron corroboradas por los ajustes globales del modelo, se constataron las relaciones entre las variables latentes planteadas y sus indicadores asociados, lo que facilitó el enunciado de 26 hipótesis, de las cuales se comprobaron 24. El modelo fue validado mediante la estrategia de modelos rivales, utilizada para comparar varios modelos SEM, y seleccionar el de mejor ajuste, con sustento teórico. La aceptación del modelo se realizó mediante la evaluación conjunta de los índices de bondad de ajuste globales. Asimismo, para la elaboración del instrumento de medida de la productividad (IMPH), se realizó un análisis factorial exploratorio previo a la aplicación del análisis factorial confirmatorio, aplicando SEM. La revisión de los conceptos de productividad, la incidencia del factor humano, y sus métodos de medición, condujeron al planteamiento de métodos subjetivos que incorporaron la percepción de los principales actores del proceso productivo, tanto para la selección de las variables, como para la formulación de un modelo de productividad y el diseño de un instrumento de medición de la productividad. La contribución metodológica de este trabajo de investigación, ha sido el empleo de los SEM para relacionar variables que tienen que ver con el comportamiento humano en la organización y la productividad, lo cual abre nuevas posibilidades a la investigación en este ámbito. Organizations are social systems or units composed of people who interact with each other to achieve common goals. One objective is productivity, which is a multidimensional construct influenced by technological, economic, organizational and human aspects. Several studies support the influence on productivity of personal motivation, of the skills and abilities of individuals, of their talent for the job, as well as of the work environment present in the organization. Therefore, the overall objective of this research is to analyze the influence between human factors and productivity. The emphasis is on the individual as a productive factor which is key in order to answer the research questions concerning the human variables that affect productivity and to address the ability to propose a productivity model that considers the impact of the human factor and the possibility of finding a method for the measurement of productivity that includes the perception of the human factor. To consider these questions, this research seeks to establish the relationships between human and productivity variables, as seen from the perspective of three different units of analysis: the individual, the group and the organization, in order to formulate a model of human productivity and to design an instrument for its measurement. A major source of research for choosing the human variables, model formulation, and method of measuring productivity, was the review of the available literature on productivity and the human factor in organizations which facilitated the design of the theoretical and conceptual framework. Another source for the selection was the opinion of experts and specialists directly involved in the Venezuelan electricity sector which facilitated obtaining a model whose variables reflect the reality of the area under study. To provide an interpretation explaining the phenomenon, the model of the Human Factors vs. Productivity Model (HFPM) was proposed. This model has been analyzed from the perspective of causal analysis and was composed of three latent exogenous variables denominated: individual, group and organizational factors which are related to a latent variable denominated endogenous productivity. The HFPM was formulated using the methodology of Structural Equation Modeling (SEM). The initially proposed relationships between latent variables were confirmed by the global fits of the model, the relationships between the latent variables and their associated indicators enable the statement of 26 hypotheses, of which 24 were confirmed. The model was validated using the strategy of rival models, used for comparing various SEM models and to select the one that provides the best fit, with theoretical support. The acceptance of the model was performed through the joint evaluation of the adequacy of global fit indices. Additionally, for the development of an instrument to measure productivity, an exploratory factor analysis was performed prior to the application of a confirmatory factor analysis, using SEM. The review of the concepts of productivity, the impact of the human factor, and the measurement methods led to a subjective methods approach that incorporated the perception of the main actors of the production process, both for the selection of variables and for the formulation of a productivity model and the design of an instrument to measure productivity. The methodological contribution of this research has been the use of SEM to relate variables that have to do with human behavior in the organization and with productivity, opening new possibilities for research in this area.

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La presente investigación, tiene como objetivo analizar las influencias que ejercen los recursos intangibles (Gestión del Conocimiento, Marca, Reputación Organizacional y Responsabilidad Social) en la gestión estratégica de las instituciones de educación superior (IES) y el impacto de los mismos en los procesos de innovación a través del valor añadido que se transfiere al entorno. Se considera importante realizar un estudio sobre este tema dado que son las IES las encargadas de proporcionar los conocimientos y los nuevos hallazgos en innovaciones tecnológicas, que son transferidas al tejido productivo de las regiones, lo que proporciona crecimiento económico y mejoras en la calidad de vida. El estudio se enmarca dentro de los postulados de la teoría de los recursos y las capacidades (TRC) y de los intangibles, los cuales sirven de base a la investigación. Se planteó un sistema de hipótesis subdividido en dos vías de influencias. La primera, donde se analizan las influencias directas que ejercen los recursos intangibles sobre los resultados de las IES. La otra vía es la indirecta, que estudia las influencias que ejercen los recursos intangibles gestionados estratégicamente sobre los resultados de las IES. Esta investigación se ha concebido como no experimental, de tipo exploratorio, basada en el paradigma que busca explicar un fenómeno (variable dependiente) a través del comportamiento de las variables independientes. Es un estudio transversal, cuantitativo, que intenta describir las causas del fenómeno. Con el objeto de determinar las influencias o relaciones de causalidad que subyacen entre las variables, se utilizó la técnica del modelo de ecuaciones estructurales (SEM). La población objeto de estudio estuvo constituida por los 857 individuos pertenecientes a los consejos directivos de las IES, que forman parte de las base de datos que gestiona el Consorcio de Escuelas de Ingeniería de Latinoamérica y del Caribe y la Universidad Politécnica de Madrid, con un tamaño de muestra significativa de 250 directivos, lo que representa el 29,42% de la población. Como fuentes de recolección de información se utilizaron fuentes primarias y secundarias. Para recabar la información primaria se diseñó un cuestionario (ad hoc), el cual fue validado por expertos. La información de fuentes secundarias se extrajo de la bases de datos de la Red Iberoamericana de Ciencia y Tecnología (RICYT). Los resultados obtenidos indican que las influencias directas que pueden ejercer los recursos intangibles (Gestión del Conocimiento, Marca, Reputación Organizacional y Responsabilidad Social) no son significativas, por ello se rechazaron todas las hipótesis de la vía de influencia directa. Asimismo, de acuerdo con el contraste realizado al submodelo que representa la vía de influencia indirecta, resultaron significativas las influencias que ejercen los intangibles Gestión del Conocimiento y Reputación Organizacional, gestionadas estratégicamente sobre los resultados con valor añadido generado por las IES y transferidos al entorno. Sin embargo, no se apoyan todas las hipótesis del modelo, debido a que los constructos Marca y Responsabilidad Social resultaron no significativos. Las teorías sobre intangibles enmarcadas en la TRC no son del todo robustas y requieren de mayores esfuerzos por parte de los investigadores para lograr definir los constructos a utilizar. De igual forma, se sigue corroborando el desfase que existe entre las teorías que sustentan la investigación y las comprobaciones empíricas de las mismas. Además, se evidencia que las IES enfocan su actuación hacia la academia, por encima de las otras funciones, otorgando a la enseñanza e investigación y a la reputación organizacional una mayor importancia. Sin embargo, debido a su naturaleza no empresarial, las IES siguen manteniendo una filosofía de gestión enfocada a la generación y transmisión de conocimientos que crean reputación. Se excluyen los intangibles Marca y Responsabilidad Social, por considerar que no aportan valor a sus procesos internos o que están inmersos dentro de otros recursos intangibles. En conclusión, se corrobora el atraso de la gestión estratégica que presentan las IES en Latinoamérica. Se comprueba la no aplicación de postulados básicos de la gerencia moderna que contribuyan al manejo eficiente de todos sus recursos y al logro de sus objetivos. Esto deriva en la necesidad de modernizar la visión estratégica de las IES y en crear mejores mecanismos para lograr reconocer, mantener, proteger y desarrollar los Recursos Intangibles que poseen, realizando combinaciones de recursos óptimas, que maximicen la creación de valor para sí mismas y para la sociedad a la que pertenecen. ABSTRACT This research aims to analyze the influences exerted by intangible resources (Knowledge Management, Brand, Organizational Reputation and Social Responsibility) in the strategic management of higher education institutions (HEIs) and their impact in the innovation processes through the added value that is transferred to the environment. It is considered important to conduct a study on this issue since HEIs are responsible for providing knowledge and new findings on technological innovations, which are then, transferred to the productive fabric of these regions, providing economic growth and improvements in quality of life. The study is framed within the tenets of the Theory of Resources and Capabilities (TRC) and of intangibles which underlie this research. A system of hypotheses was raised which was subdivided into two pathways of influences. In the first system the direct influences exerted by intangible resources on the results of the IES are analyzed. The other system focuses on the indirect influences exerted by the strategically managed intangible resources on the HEIs results. This research is designed as experimental, exploratory and based on the paradigm that seeks to explain a phenomenon (the dependent variable) through the behavior of the independent variables. It is a crosssectional, quantitative study, which attempts to describe the causes of the phenomenon. In order to determine the influences or causal relationships among variables the structural equation modeling technique (SEM) was used. The population under study consisted of 857 individuals from the boards of HEIs, which are part of the database managed by the Consortium of Engineering Schools in Latin America and the Caribbean and the Technical University of Madrid, with a significant sample size of 250 managers which represents 29.42% of the population. As sources of information gathering primary and secondary sources were used. To collect primary information an ad-hoc questionnaire which was validated by experts was designed. The secondary information was extracted from the database of the Latin American Network of Science and Technology (RICYT). The results obtained indicate that the direct influences that intangible resources (Knowledge Management, Brand, Organizational Reputation and Social Responsibility) can exert are not significant. Therefore, all hypotheses related to direct influence were rejected. Also, according to the test made with the system which represents the indirect channel of influence, significant influences were exerted on the results with added value generated by the HEIs by the intangibles Knowledge Management and Organizational Reputation when they were managed strategically. However, all model hypotheses are not supported, because the constructs Brand and Social Responsibility were not significant. Theories of intangibles within the framework of the Theory of Resources and Capabilities are not entirely robust and require greater efforts by researchers to define the constructs to be used. Similarly the existing gap between the theories underpinning research and the empirical tests continues to be corroborated. In addition, there is evidence that HEIs focus their action on the academy neglecting the other functions, giving more importance to teaching, research and organizational reputation. However, due to their non-business nature, HEIs still maintain a management philosophy focused on the generation and transmission of knowledge which leads to reputation. The intangibles Brand and Social Responsibility are excluded, considering that they do not add value to their internal processes or are embedded within other intangible resources. In conclusion, the backwardness of HEIs’ strategic management in Latin America is confirmed. The lack of application of the basic principles of modern management that contribute to the efficient administration of all the resources and the achievement of objectives is proven. This leads to the need to modernize the strategic vision of HEIs and the need for better mechanisms to recognize, maintain, protect and develop the intangible resources they possess, achieving optimal combinations of resources in order to maximize the creation of value for them and for the society to which they belong.

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El propósito de esta tesis doctoral es el desarrollo de un modelo integral de evaluación de la gestión para instituciones de educación superior (IES), fundamentado en valorar la gestión de diferentes subsistemas que la integran, así como estudiar el impacto en la planificación y gestión institucional. Este Modelo de Evaluación Institucional fue denominado Modelo Integral de Evaluación de Gestión de las IES (MIEGIES), que incorpora la gestión de la complejidad, los aspectos gerenciales, el compromiso o responsabilidad social, los recursos, además de los procesos propios universitarios con una visión integral de la gestión. Las bases conceptuales se establecen por una revisión del contexto mundial de la educación superior, pasando por un análisis sobre evaluación y calidad en entornos universitarios. La siguiente reflexión conceptual versó sobre la gestión de la complejidad, de la gestión gerencial, de la gestión de responsabilidad social universitaria, de la gestión de los recursos y de la gestión de los procesos, seguida por un aporte sobre modelaje y modelos. Para finalizar, se presenta un resumen teórico sobre el alcance de la aplicación de ecuaciones estructurales para la validación de modelos. El desarrollo del modelo conceptual, dimensiones e indicadores, fue efectuado aplicando los principios de la metodología de sistemas suaves –SSM. Para ello, se identifica la definición raíz (DR), la razón sistémica de ser del modelo, para posteriormente desarrollar sus componentes y principios conceptuales. El modelo quedó integrado por cinco subsistemas, denominados: de la Complejidad, de la Responsabilidad Social Universitaria, Gerencial, de Procesos y de Recursos. Los subsistemas se consideran como dimensiones e indicadores para el análisis y son los agentes críticos para el funcionamiento de una IES. Los aspectos referidos a lo Epistemetodológico, comenzó por identificar el enfoque epistemológico que sustenta el abordaje metodológico escogido. A continuación se identifican los elementos clásicos que se siguieron para llevar a cabo la investigación: Alcance o profundidad, población y muestra, instrumentos de recolección de información y su validación, para finalizar con la explicación procedimental para validar el modelo MIEGIES. La población considerada para el estudio empírico de validación fueron 585 personas distribuidas entre alumnos, docentes, personal administrativo y directivos de una Universidad Pública Venezolana. La muestra calculada fue de 238 individuos, número considerado representativo de la población. La aplicación de los instrumentos diseñados y validados permitió la obtención de un conjunto de datos, a partir de los cuales se validó el modelo MIEGIES. La validación del Modelo MIGEIES parte de sugerencias conceptuales para el análisis de los datos. Para ello se identificaron las variables relevantes, que pueden ser constructos o conceptos, las variables latentes que no pueden ser medidas directamente, sino que requiere seleccionar los indicadores que mejor las representan. Se aplicó la estrategia de modelación confirmatoria de los Modelos de Ecuaciones Estructurales (SEM). Para ello se parte de un análisis descriptivo de los datos, estimando la fiabilidad. A continuación se aplica un análisis factorial exploratorio y un análisis factorial confirmatorio. Para el análisis de la significancia del modelo global y el impacto en la planificación y gestión, se consideran el análisis de coeficientes de regresión y la tabla de ANOVA asociada, la cual de manera global especifica que el modelo planteado permite explicar la relación entre las variables definidas para la evaluación de la gestión de las IES. Así mismo, se encontró que este resultado de manera global explica que en la evaluación institucional tiene mucha importancia la gestión de la calidad y las finanzas. Es de especial importancia destacar el papel que desarrolla la planificación estratégica como herramienta de gestión que permite apoyar la toma de decisiones de las organizaciones en torno al quehacer actual y al camino que deben recorrer en el futuro para adecuarse a los cambios y a las demandas que les impone el entorno. El contraste estadístico de los dos modelos ajustados, el teórico y el empírico, permitió a través de técnicas estadísticas multivariables, demostrar de manera satisfactoria, la validez y aplicación del modelo propuesto en las IES. Los resultados obtenidos permiten afirmar que se pueden estimar de manera significativa los constructos que definen la evaluación de las instituciones de educación superior mediante el modelo elaborado. En el capítulo correspondiente a Conclusiones, se presenta en una de las primeras instancias, la relación conceptual propuesta entre los procesos de evaluación de la gestión institucional y de los cinco subsistemas que la integran. Posteriormente se encuentra que los modelos de ecuaciones estructurales con base en la estrategia de modelación confirmatoria es una herramienta estadística adecuada en la validación del modelo teórico, que fue el procedimiento propuesto en el marco de la investigación. En cuanto al análisis del impacto del Modelo en la Planificación y la Gestión, se concluye que ésta es una herramienta útil para cerrar el círculo de evaluación institucional. La planificación y la evaluación institucional son procesos inherentes a la filosofía de gestión. Es por ello que se recomienda su práctica como de necesario cumplimiento en todas las instancias funcionales y operativas de las Instituciones de Educación Superior. ABSTRACT The purpose of this dissertation is the development of a comprehensive model of management evaluation for higher education institutions (HEIs), based on evaluating the management of different subsystems and study the impact on planning and institutional management. This model was named Institutional Assessment Comprehensive Evaluation Model for the Management of HEI (in Spanish, MIEGIES). The model incorporates the management of complexity, management issues, commitment and social responsibility and resources in addition to the university's own processes with a comprehensive view of management. The conceptual bases are established by a review of the global context of higher education, through analysis and quality assessment in university environments. The following conceptual discussions covered the management of complexity, management practice, management of university social responsibility, resources and processes, followed by a contribution of modeling and models. Finally, a theoretical overview of the scope of application of structural equation model (SEM) validation is presented. The development of the conceptual model, dimensions and indicators was carried out applying the principles of soft systems methodology (SSM). For this, the root definition (RD), the systemic rationale of the model, to further develop their components and conceptual principles are identified. The model was composed of five subsystems, called: Complexity, University Social Responsibility, Management, Process and Resources. The subsystems are considered as dimensions and measures for analysis and are critical agents for the functioning of HEIs. In matters relating to epistemology and methodology we began to identify the approach that underpins the research: Scope, population and sample and data collection instruments. The classic elements that were followed to conduct research are identified. It ends with the procedural explanation to validate the MIEGIES model. The population considered for the empirical validation study was composed of 585 people distributed among students, faculty, staff and authorities of a public Venezuelan university. The calculated sample was 238 individuals, number considered representative of the population. The application of designed and validated instruments allowed obtaining a data set, from which the MIEGIES model was validated. The MIGEIES Model validation is initiated by the theoretical analysis of concepts. For this purpose the relevant variables that can be concepts or constructs were identified. The latent variables cannot be measured directly, but require selecting indicators that best represent them. Confirmatory modeling strategy of Structural Equation Modeling (SEM) was applied. To do this, we start from a descriptive analysis of the data, estimating reliability. An exploratory factor analysis and a confirmatory factor analysis were applied. To analyze the significance of the overall models the analysis of regression coefficients and the associated ANOVA table are considered. This comprehensively specifies that the proposed model can explain the relationship between the variables defined for evaluating the management of HEIs. It was also found that this result comprehensively explains that for institutional evaluation quality management and finance are very important. It is especially relevant to emphasize the role developed by strategic planning as a management tool that supports the decision making of organizations around their usual activities and the way they should evolve in the future in order to adapt to changes and demands imposed by the environment. The statistical test of the two fitted models, the theoretical and the empirical, enabled through multivariate statistical techniques to demonstrate satisfactorily the validity and application of the proposed model for HEIs. The results confirm that the constructs that define the evaluation of HEIs in the developed model can be estimated. In the Conclusions section the conceptual relationship between the processes of management evaluation and the five subsystems that comprise it are shown. Subsequently, it is indicated that structural equation models based on confirmatory modeling strategy is a suitable statistical tool in validating the theoretical model, which was proposed in the framework of the research procedure. The impact of the model in Planning and Management indicates that this is a useful tool to complete the institutional assessment. Planning and institutional assessment processes are inherent in management philosophy. That is why its practice is recommended as necessary compliance in all functional and operational units of HEIs.

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As empresas que almejam garantir e melhorar sua posição dentro de em um mercado cada vez mais competitivo precisam estar sempre atualizadas e em constante evolução. Na busca contínua por essa evolução, investem em projetos de Pesquisa & Desenvolvimento (P&D) e em seu capital humano para promover a criatividade e a inovação organizacional. As pessoas têm papel fundamental no desenvolvimento da inovação, mas para que isso possa florescer de forma constante é preciso comprometimento e criatividade para a geração de ideias. Criatividade é pensar o novo; inovação é fazer acontecer. Porém, encontrar pessoas com essas qualidades nem sempre é tarefa fácil e muitas vezes é preciso estimular essas habilidades e características para que se tornem efetivamente criativas. Os cursos de graduação podem ser uma importante ferramenta para trabalhar esses aspectos, características e habilidades, usando métodos e práticas de ensino que auxiliem no desenvolvimento da criatividade, pois o ambiente ensino-aprendizagem pesa significativamente na formação das pessoas. O objetivo deste estudo é de identificar quais fatores têm maior influência sobre o desenvolvimento da criatividade em um curso de graduação em administração, analisando a influência das práticas pedagógicas dos docentes e as barreiras internas dos discentes. O referencial teórico se baseia principalmente nos trabalhos de Alencar, Fleith, Torrance e Wechsler. A pesquisa transversal de abordagem quantitativa teve como público-alvo os alunos do curso de Administração de uma universidade confessional da Grande São Paulo, que responderam 465 questionários compostos de três escalas. Para as práticas docentes foi adaptada a escala de Práticas Docentes em relação à Criatividade. Para as barreiras internas foi adaptada a escala de Barreiras da Criatividade Pessoal. Para a análise da percepção do desenvolvimento da criatividade foi construída e validada uma escala baseada no referencial de características de uma pessoa criativa. As análises estatísticas descritivas e fatoriais exploratórias foram realizadas no software Statistical Package for the Social Sciences (SPSS), enquanto as análises fatoriais confirmatórias e a mensuração da influência das práticas pedagógicas e das barreiras internas sobre a percepção do desenvolvimento da criatividade foram realizadas por modelagem de equação estrutural utilizando o algoritmo Partial Least Squares (PLS), no software Smart PLS 2.0. Os resultados apontaram que as práticas pedagógicas e as barreiras internas dos discentes explicam 40% da percepção de desenvolvimento da criatividade, sendo as práticas pedagógicas que exercem maior influencia. A pesquisa também apontou que o tipo de temática e o período em que o aluno está cursando não têm influência sobre nenhum dos três construtos, somente o professor influencia as práticas pedagógicas.