dc.contributorVieira, Kelmara Mendes
dc.contributorhttp://lattes.cnpq.br/4786960732238120
dc.contributorCoronel, Daniel Arruda
dc.contributorhttp://lattes.cnpq.br/9265604274170933
dc.contributorPerrone, Claudia Maria
dc.contributorhttp://lattes.cnpq.br/7269640006431486
dc.creatorFlores, Silvia Amélia Mendonça
dc.date.accessioned2017-04-24
dc.date.available2017-04-24
dc.date.created2017-04-24
dc.date.issued2012-12-10
dc.identifierFLORES, Silvia Amélia Mendonça. Structural equations modeling applied to the debt propensity: an analysis of behavioral factors. 2012. 192 f. Dissertação (Mestrado em Administração) - Universidade Federal de Santa Maria, Santa Maria, 2012.
dc.identifierhttp://repositorio.ufsm.br/handle/1/4621
dc.description.abstractThis study sought to develop and validate a model of propensity to indebtedness from behavioral factors. For this, we carried out are search survey with 1046 residents of the town of Santa Maria (RS). As an instrument of data collection adopted a structured questionnaire, consisting with ninety questions, that addressed demographic and cultural variable sand seven behavioral factors (financial education, risk perception, risk behavior, emotions, materialism, debt and money values). The analysis was performed by structural equation modeling, and the influences of cultural and demographic variables were measured by parametric hypothesis tests. The results demonstrated that the initial assumption of ten, eight were confirmed. The final model presents four factors directly related to indebtedness: amounts of money, materialism, perception and risk behavior. Due to problems of adjustment, the construct of financial education was excluded from the final model, not interfering with the propensity to indebtedness. The descriptive statistics of the factors showed low level of debt and materialism of the in habitants of Santa Maria (RS). Furthermore, we found a higher risk perception, and consequently a more conservative risk behavior. Hypothesis tests showed a significant difference in the level of debt as age, gender, marital status, education, religion, religious principles, occupation, family income, credit card, reliance on credit and spending. As for income, it is emphasized that people with higher income groups received most media, or, in other words, more prone to debt.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBR
dc.publisherAdministração
dc.publisherUFSM
dc.publisherPrograma de Pós-Graduação em Administração
dc.rightsAcesso Aberto
dc.subjectPropensão ao endividamento
dc.subjectEducação financeira
dc.subjectPercepção e comportamento de risco
dc.subjectEmoções
dc.subjectMaterialismo
dc.subjectValores do dinheiro
dc.subjectPropensity to indebtedness
dc.subjectFinancial education
dc.subjectPerception and risk behavior
dc.subjectEmotions
dc.subjectMaterialism
dc.subjectMoney values
dc.titleModelagem de equações estruturais aplicada à propensão ao endividamento: uma análise de fatores comportamentais
dc.typeDissertação


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