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Structural Equation Modeling
Kuzminskaya, Kseniya ; Pešta, Michal (advisor) ; Lachout, Petr (referee)
Structural Equation Models (SEM) - also called Simultaneous Equation Models - are used to describe relationships among a set of variables. Similarly as in multivariate regression models, some of the variables are treated as predictors and the others as outcomes. However, unlike in a classical regression model, a variable, which is outcome in one equation, can become a predictor in another equation. SEM are even able to handle variables, which are not measured directly but only through their effects. They are often used in econometrics or socio-economics.
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An Examination of Household Energy Conservation Behavior in the Framework of Theory of Planned Behavior and Norm Activation Model: Prague Case
Boyaci, Çagatay ; Soukup, Petr (advisor) ; Remr, Jiří (referee)
This M.A. thesis aims at investigating the socio-psychological motivations and demographic factors related to how individuals perform energy conservation behavior in the household domain. For this reason, two approaches to this sociological issue, the Theory of Planned Behavior and Norm Activation Model, were comprehensively examined to be adequately combined into one experimental model that would determine and help to explain the motivations on the energy conservation behaviors in households. In total, 303 respondents were surveyed who have a residency in Prague by sharing an online-based questionnaire in various Facebook groups between April 28, 2021, and July 3, 2021. In order to test the created hypotheses according to the developed model of the research study, structural equation modeling and ANOVA analysis were employed. As a result, the findings show that combining the Theory of Planned Behavior and the Norm Activation Model gives promising results in explaining the socio-psychological motivations of household energy conservation behaviors. The author of the thesis concludes that social norms have a positive influence on personal norms, and further the personal norms have a positive impact on intentions, and therefore the intentions directly impact the household energy conservation behavior....
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Motivation in sport: Relationship to global self-esteem and physical self-perception
Harbichová, Ivana ; Slepička, Pavel (advisor) ; Štochl, Jan (referee) ; Pavelková, Isabella (referee)
The main objective of this thesis is to verify the relationship of the contextually specific motivation in sport to a global self-esteem and possible mediation effects of the physical self-perceptions in this relationship. To achieve this objective six individual studies were conducted. First, we focused on the translation of diagnostic instruments: the Sport Motivation Scale (SMS; Pelletier et al., 1995) and the Social Physique Anxiety Scale (SPAS; Hart, Leary, Rejeski, 1989) into the Czech language. Next, the validity and reliability of the scores obtained by Czech versions of the instruments were examined. Based on the results of the structural equation modeling and using a known-difference evidence validity approach we concluded that both translated instruments may be useful as a valid and reliable diagnostic tools for measuring different kinds of motivation in sport (SMS) and negative physical self-perception (social physical anxiety - SPAS). Using structural equation modeling, we also concluded that different types of motivation in sport (which vary in degree of relative autonomy of the subject) affect specific self-esteem associated with the body, as well as the evaluation of one's self at the global level. Relationship of the sport motivation and the global self-esteem was largely mediated...
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Structural Equation Models with Application in Social Sciences
Veselý, Václav ; Pešta, Michal (advisor) ; Maciak, Matúš (referee)
We investigate possible usage of Errors-in-Variables estimator (EIV), when esti- mating structural equations models (SEM). Structural equations modelling pro- vides framework for analysing complex relations among set of random variables where for example the response variable in one equation plays role of the predic- tor in another equation. First an overview of SEM and some common covariance based estimators is provided. Special case of linear regression model is investi- gated, showing that the covariance based estimators yield the same results as ordinary least squares. A compact review of EIV models follows, Errors-in-Variables models are re- gression models where not only response but also predictors are assumed to be measured with an error. Main contribution of this paper then lies in defining modifications of the EIV estimator to fit in the SEM framework. General opti- mization problem to estimate the parameters of structural equations model with errors-in-variables si postulated. Several modifications of two stage least squares are also proposed for future research. Equation-wise Errors-in-Variables estimator is proposed to estimate the coeffi- cients of structural equations model. The coefficients of every structural equation are estimated separately using EIV estimator. Some theoretical conditions...
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Motivation in sport: Relationship to global self-esteem and physical self-perception
Harbichová, Ivana ; Slepička, Pavel (advisor) ; Štochl, Jan (referee) ; Pavelková, Isabella (referee)
The main objective of this thesis is to verify the relationship of the contextually specific motivation in sport to a global self-esteem and possible mediation effects of the physical self-perceptions in this relationship. To achieve this objective six individual studies were conducted. First, we focused on the translation of diagnostic instruments: the Sport Motivation Scale (SMS; Pelletier et al., 1995) and the Social Physique Anxiety Scale (SPAS; Hart, Leary, Rejeski, 1989) into the Czech language. Next, the validity and reliability of the scores obtained by Czech versions of the instruments were examined. Based on the results of the structural equation modeling and using a known-difference evidence validity approach we concluded that both translated instruments may be useful as a valid and reliable diagnostic tools for measuring different kinds of motivation in sport (SMS) and negative physical self-perception (social physical anxiety - SPAS). Using structural equation modeling, we also concluded that different types of motivation in sport (which vary in degree of relative autonomy of the subject) affect specific self-esteem associated with the body, as well as the evaluation of one's self at the global level. Relationship of the sport motivation and the global self-esteem was largely mediated...
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Structural Equation Modeling
Kuzminskaya, Kseniya ; Pešta, Michal (advisor) ; Lachout, Petr (referee)
Structural Equation Models (SEM) - also called Simultaneous Equation Models - are used to describe relationships among a set of variables. Similarly as in multivariate regression models, some of the variables are treated as predictors and the others as outcomes. However, unlike in a classical regression model, a variable, which is outcome in one equation, can become a predictor in another equation. SEM are even able to handle variables, which are not measured directly but only through their effects. They are often used in econometrics or socio-economics.
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