942 resultados para Operational variables
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1913/06/29 (A3,N5).
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1912/07/07 (A1,N6).
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1913/02/23 (A2,N39).
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Banco del conocimiento
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Bogotá Emprende
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Bogotá Emprende
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Desarrollo empresarial y creación de empresa
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This study examined the interrelationships among life satisfaction, job satisfaction, and happiness and the selected demographic variables of income, age, marital status, education, sex, job tenure, job title, type of school, and location of employment. Survey data were collected from 1,993 elementary, high school, and community college teachers in the southern Ontario area, representing ten public school boards, three Roman Catholic school boards and three community colleges. Several theories were utilized in developing thirteen hypotheses and eleven experimental hypotheses. A thorough review of the literature (to January, 1980) was undertaken and major conclusions noted. Hoppock's (1935) Job Satisfaction Measure, Gurin, Veroff, and Feld's (1960) Happiness Scale, and Converse and Robinson's (1965) Life Satisfaction Scale were used as the instrument. Chi-square analysis was employed as the statistical method. Indicative of the findings: the level of education taught was significantly related to all three organizational variables, sex was unrelated to life satisfaction though positively related to job satisfaction, and income was found not to be related to either happiness or life satisfaction. A minority of findings were contrary to hypothesized relationships. Specifically, age was found to be unrelated to any of the three organizational variables, and educational achievement was not significantly related to happiness. A model was developed to illustrate the interrelationships of the organizational and demographic variables. This model was designed specifically to reflect teacher attitudes, though it may have reasonable application for other relatively homogeneous groups of employees such as nurses, engineers, or social workers.
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The puq)ose of this thesis is to test a model Hnking community disadvantage and urbanicity factors to parenting variables (i.e., monitoring, warmth, and knowledge) and to youth risk behavior (i.e., substance use and delinquency), measured both concurrently and one year after the assessment of parenting variables. The model builds on the work of Fletcher, Steinberg, and Williams-Wheeler (2004) but a) includes a more comprehensive measure of SES than that conceptualized by Fletcher et al.; b) considers whether the role of community disadvantage is indirectly as well as directly linked to youth risk behavior, by way of its association with parenting variables; c) considers whether level of community urbanicity plays a direct role in predicting both parenting variables and risk behaviors, or whether its influence on risk behaviours is primarily indirect through parenting variables. Both community disadvantage and urbanicity had virtually no relation to parenting and risk behaviour variables. Results found for relations of parenting variables and risk behaviour were similar to Fletcher et al. Although urban youth are typically perceived as being more at risk for substance use and delinquency, no evidence was found for a distinction between urban and rural youth within this sample. Targeting risk behaviour prevention/reduction programs toward only urban youth, therefore, is not supported by these findings.
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The purpose of the study was to investigate the effect of a 16 session stickhandling and puck control (SPC) off-ice training intervention on SPC skills and wrist shot performance variables. Eighteen female collegiate ice hockey players participated in a crossover design training intervention, whereby players were randomly assigned to two groups. Each group completed 16 SPC training sessions in two conditions [normal vision (NV) and restricted vision (RV)]. Measures obtained after the training intervention revealed significant improvements in SPC skills and wrist shot accuracy. Order of training condition did not reach significance, meaning that SPC improvement occurred as a result of total training volume as opposed to order of training condition. However, overall changes in the RV-NV condition revealed consistently higher effect sizes, meaning a greater improvement in performance. Therefore, support can be provided for this technical approach to SPC training and an alternative method of challenging SPC skills.
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This study examined the operational planning, implementation and execution issues of major sport events, as well as the mitigation and management strategies used to address these issues, with the aim of determining best practices in sport event operational planning. The three Research Questions were: 1) What can previous major sport events provide to guide the operational management of future events? 2) What are the operational issues that arise in the planning and execution of a major sport event, how are they mitigated and what are the strategies used to deal with these issues? 3) What are the best practices for sport event operational planning and how can these practices aid future events? Data collection involved a modified Delphi technique that consisted of one round of in-depth interviews followed by two rounds of questionnaires. Both data collection and analysis were guided by an adaptation of the work of Parent, Rouillard & Leopkey (2011) with a focus on previously established issue and strategy categories. The results provided a list of Top 26 Prominent Issues and Top 17 Prominent Strategies with additional issue-strategy links that can be used to aid event managers producing future major sport events. The following issue categories emerged as having had the highest impact on previous major sport events that participants had managed: timing, funding and knowledge management. In addition, participants used strategies from the following categories most frequently: other, formalized agreements and communication.
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Tesis (Maestría en Trabajo Social) UANL
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Tesis (Maestría en Ciencias de la Administración. Especialidad en Producción) U.A.N.L.