61 |
Tímová kohézia a tímový úspech v elitných mládežníckych športových družstvách / Team cohesion and team success in elite youth sport teamsŠiška, Pavol January 2014 (has links)
The main aim of this dissertation was to examine the relationship between team success and team cohesiveness with a sample of elite youth sport teams. The secondary aim of this international thesis was to translate and analyze the psychometric properties of responses to the Czech and Slovak versions of the Youth Sport Environment Questionnaire (YSEQ; Eys, Loughead, Bray, & Carron, 2009b) in a sample of elite youth handball and soccer players. The accomplishment of the second purpose involved three phases of research. First, the questionnaire was translated into the Czech and Slovak languages by method of parallel back-translation. In Phase 2, feedback was sought on the translated versions of each questionnaire from both researchers (N = 2) and athletes (N = 52) to ensure the clarity of the instructions and the readability of the items. Subsequent confirmatory analyses in the final phase provided an adequate fitting model for both Czech and Slovak versions with an independent sample (N = 352) from youth sport teams. These results offer further support to Eys et al.'s (2009b) proposed two dimensional model underlying their measure of cohesion for youth sport groups. In terms of the general purpose, we employed structural equation modeling to examine the direction of that relationship via a...
|
62 |
Systémové riziko ve finančním a energetickém sektoru: přístup dynamických faktorových kopula funkcí / Systemic Risk in the European Financial and Energy Sector: Dynamic Factor Copula ApproachNevrla, Matěj January 2016 (has links)
In the thesis we perform analysis of systemic risk in the financial and energy sector in Europe. As the econometric tool for estimating dependencies across the subjects we employ factor copula model with GAS dynamics of Oh & Patton (2013b). We apply this model to daily CDS spreads. Based on the estimated results we perform Monte Carlo simulations in order to obtain future values of CDS spreads and measure probability of systemic events. We conclude that substantially higher systemic risk is present within the financial sector. We also find that the most systemic companies from both sectors come from Spain. JEL Classification C53, C55, C58, G17 Keywords Credit Default Swap, Energy Sector, Factor Copula, Financial Sector, Generalized Autore- gressive Score Model, Systemic Risk Author's e-mail matej.nevrla@gmail.com Supervisor's e-mail barunik@fsv.cuni.cz
|
63 |
Empirické ověření nové Keynesiánské Philipsovy křivky v ČR / Empirical Testing of the New Keynesian Phillips Curve in the Czech RepublicPlašil, Miroslav January 2003 (has links)
New keynesian Phillips curve (NKPC) has become a central model to study the relation between inflation and real economic activity, notably in the framework of optimal monetary policy design. However, some recent evidence suggests that empirical data are usually at odds with the underlying theory. The model due to its inherent structure represents a statistical challenge in its own right. Since Galí and Gertler (1999) published their seminal paper introducing estimation via GMM techniques, they have triggered a heated debate on its empirical relevance. Their approach has been heavily criticised by later authors, mainly on the grounds of questionable behaviour of GMM estimator in the NKPC context and/or its small sample properties. The common criticism includes sensitivity to the choice of instrument set, weak identification and small sample bias. In this thesis I propose a new estimation strategy that provides a remedy to above mentioned shortcomings and allows to obtain reliable estimates. The procedure exploits recent advances in GMM theory as well as in other fields of statistics, in particular in the area of time series factor analysis and bootstrap. The proposed estimation strategy consists of several consecutive steps: first, to reduce a small sample bias resulting from excessive use of instruments I summarize all available information by employing factor analysis and include estimated factors into information set. In the second step I use statistical information criteria to select optimal instruments and eventually I obtain confidence intervals on parameters using bootstrap method. In NKPC context all these methods were used for the first time and can also be used independently. Their combination however provides synergistic effect that helps to improve the properties of estimates and to check the efficiency of given steps. Obtained results suggest that NKPC model can explain Czech inflation dynamics fairly well and provide some support for underlying theory. Among other things the results imply that the policy of disinflation may not be as costly with respect to a loss in aggregate product as earlier versions of Phillips curve would indicate. However, finding a good proxy for real economic activity has proved to be a difficult task. In particular we demonstrated that results are conditional on how the measure is calculated, some measures even showed countercyclical behaviour. This issue -- in the thesis discussed only in passing -- is a subject of future research. In addition to the proposed strategy and provided parameter estimates the thesis brings some partial simulation-based findings. Simulations elaborate on earlier literature on naive bootstrap in GMM context and study performance of bootstrap modifications of unit root and KPSS test.
|
64 |
Ekvivalence měření nástroje SQWLI v čase / Equivalence of measurement SQWLI over timeŠeflová, Kristýna January 2016 (has links)
(in English): This paper is devoted to indicator of subjective quality of working life (SQWLI) equivalence of measurement and testing of this instrument over time. The theoretical part introduces the concept of equivalence, from its inception, through the definition, types, methods used to test different kinds of equivalence and programs that can be used for this purpose. Furthermore the tested data files from 2009, 2011, 2013 to 2014 are presented. The analytical part contains a description of confirmatory factor analysis for multiple groups which is the most common method for testing equivalence of measurement. Presented are the results of several testing methods - analysis of reliability, exploratory factor analysis and the confirmatory factor analysis for multiple groups. According to the results it is shown how it is possible to approach comparisons over time and finally the development of SQWLI and it's individual changes in terms of the functionality of the whole tool is discussed. 2
|
65 |
Analýza úrovně kvality života pomocí shlukové analýzy a porovnání s Human Development Indexem / Analysis of the Quality of life using cluster analysis and comparison with the Human Development IndexPánková, Barbara January 2015 (has links)
Nowadays quality of life is often discussed topic. In defining this term, there is considerable ambiguity and disunity, since there is no universally accepted definition, nor theoretically sophisticated model. However, despite this fact, the level of quality of life is currently one of the most discussed topic. Monitoring the quality of life by using a variety of indicators are engaged in several international organizations, one of them is the Development Programme of the United Nations. This organization annually publishes the Human Development Index, which divides the world´s countries into four groups according to their level of development: low, medium, high and very high development. The aim of this thesis is to analyze the quality of life in 125 countries by using cluster analysis, accurately the Ward's method. Quality of life in this thesis is evaluated based on 19 demographic and economic indicators, which include life expectancy, literacy rate, access to drinking water and infant mortality rate. The cluster analysis divided the country into individual clusters by their similarities. Six clusters were created by this analysis, which had been compared with the results of Human Development Index. The clusters very well reflect the division, which is commonly used in the characterization of developing and developed countries. Each of the six clusters can be very well described and characterized in terms of quality of life. It is also possible qualify those clusters as poorest developing, low developed, moderately developed, medium development, high and very high development countries. Based on the results it can be stated that this analysis is consistent with other indicators of quality of life and the resulting clusters are identical with the division of countries which is commonly used.
|
66 |
Vztah elektrofyziologické aktivity a dynamické funkční konektivity rozsáhlých mozkových sítí ve fMRI datech / Relationship between Electrophysiological Activity and Dynamic Functional Connectivity of Large-scale Brain Networks in fMRI DataLamoš, Martin January 2018 (has links)
Functional brain connectivity is a marker of the brain state. Growing interest in the examination of large-scale brain network functional connectivity dynamics is accompanied by an effort to find the electrophysiological correlates. The commonly used constraints applied to spatial and spectral domains during EEG data analysis may leave part of the neural activity unrecognized. A proposed approach blindly reveals multimodal EEG spectral patterns that are related to the dynamics of the BOLD functional network connectivity. The blind decomposition of EEG spectrogram by Parallel Factor Analysis has been shown to be a useful technique for uncovering patterns of neural activity where each pattern contains three signatures (spatial, temporal, and spectral). The decomposition takes into account the trilinear structure of EEG data, as compared to the standard approaches of electrode averaging, electrode subset selection or using standard frequency bands. The simultaneously acquired BOLD fMRI data were decomposed by Independent Component Analysis. Dynamic functional connectivity was computed on the component’s time series using a sliding window correlation, and functional connectivity network states were then defined based on the values of the correlation coefficients. ANOVA tests were performed to assess the relationships between the dynamics of functional connectivity network states and the fluctuations of EEG spectral patterns. Three patterns related to the dynamics of functional connectivity network states were found. Previous findings revealed a relationship between EEG spectral pattern fluctuations and the hemodynamics of large-scale brain networks. This work suggests that the relationship also exists at the level of functional connectivity dynamics among large-scale brain networks when no standard spatial and spectral constraints are applied on the EEG data.
|
67 |
Hodnocení výkonnosti podniku / Evaluation of Company PerformanceHroník, Petr January 2009 (has links)
The thesis was focused on the analysis and evaluation of the efficiency of the chosen company using data processed with financial and factor analysis. The improved results were due to their better predicative abilities compared to the determined values of a competing company.
|
68 |
Strukturální změny venkovské zaměstnanosti v Česku zkoumány teritoriálním přístupem / Exploring structural changes of employment in rural Czechia: territorial approachČapkovičová, Andrea January 2019 (has links)
The thesis searches for driving forces behind structural changes of rural employment in the example of Czechia subject to changing rural paradigm and the related question of rural economic viability represented by the employment performance. The research elaborates on the territorial approaches which categorises regions according to their degree of rurality. In addition, the detailed classification is made according to the change of non-agricultural employment in the period 2001-2011 in order to identify dynamic regions which showed performance above national average (leading) and those which lacked behind (lagging). The observations prompt the question why is the performance differentiated. Therefore, the regionally differentiated impact of processes such as deagriculturisation, deindustrialisation and tertiarisation in the period 2001-2011 is analysed by the use of analysis of components (namely shift-share analysis) and multivariate analysis (namely factor and cluster analysis). The thesis aims to provide answers in particular by giving a thorough analysis of how the changing rural paradigm (and regional theories in wider context) conceptualise the driving forces behind employment development in rural areas. The added value is in the analysis of interrelations and correlations of chosen...
|
69 |
Nové ekologické paradigma jako výzkumný přístup v České republice. Analýza enviromentálních postojů Čechů / New Ecological Paradigm as a research approach in the Czech Republic: An analysis of environmental attitudes of CzechsVaněk, Jiří January 2017 (has links)
This thesis focus on the New Ecological Paradigm (NEP) and its measurement instrument New Ecological Paradigm scale. Thesis introduces the New Ecological Paradigm as opposite type of thinking to the Human Exemptionalism Paradigm and provides historical context of the creation of the revised version of the New Ecological Paradigm scale. We carried out a secondary analysis of the data from survey about the European climate change policy acceptance conducted by Ščasný et al in year 2015. Thesis then examined the extent to which people from the Czech Republic, the Great Britain and the Poland endorse the New Ecological Paradigm and found out that the Czechs have the higher environmental concern than people from the Great Britain and the Poland. Furthermore, this thesis use Cronbach`s and factor analysis to discover, that the New ecological paradigm scale is internally consistent yet multidimensional instrument in case of the three surveyed countries. Regression analysis discovered that not only gender and age are significant socio-demographic predictors for the NEP results as income, education, size of municipality and current occupation are also relevant across the three surveyed countries. Lastly, regression analysis verified that the direct correlation between the general environmental values measured by the...
|
70 |
Self-tracking a běhání: sociologická analýza / Self-tracking and running: a sociological analysisHanzlová, Radka January 2018 (has links)
This thesis focuses on self-tracking, which mean monitoring and recording information about oneself using digital technologies and its use by runners in the Czech Republic. The main aim of this thesis is to describe the Czech running community through a detailed sociological analysis, and to answer a question: Why runners use self-tracking and how they benefit from it? The theoretical part firstly deals with the topic of self-tracking itself, then examines the uses and gratifications theory and the theory of online communities. The analytical part is devoted to description, analysis and interpretation of the results of the author's own survey, in which 844 runners of whom 754 practice self-tracking participated. Several hypotheses concerning sociodemographic structure, running characteristics, motivation, gratifications and safety were formulated. Five key motives (self-control, orientation to result, self-improvement, habit and social interaction) that lead runners to use self-tracking devices were identified through exploratory factor analysis. The motives vary based on gender and running characteristics (experience with running, runner's level, frequency of running, trainer) that also represent the main influencing factor for self-tracking in general. Self-tracking is closely related to sharing...
|
Page generated in 0.0313 seconds