This article aims to interrelate dimensions of the well-being validation instruments proposed by Watson, Clark and Tellegen (PANAS) with generalized anxiety dimensions proposed by Spitzer et al. (GAD-7) and state-trait anxiety inventories proposed by Biaggio and Natalício (IDATE), using partial least squares structural equation modeling (PLS-SEM), in the case of individual university students in southern Brazil and the city of Buenos Aires, Argentina. We conducted a behavioral study, characterized as exploratory-descriptive, by applying a questionnaire survey to collect data though face-to face interviews to a group of 460 university students from June to August 2019. A non-probabilistic sampling method for convenience was used, justified by the heterogeneous incidence of the participants. Our results support most of the proposed hypotheses. Only one hypothesis was rejected, i.e., that the Positive Affection Scale (WBS) is not related to the State Anxiety Inventory (IAE)—when a person is feeling in full activity, this situation does not affect the momentary state, characterized by tension, apprehension and by increased activity in the autonomic nervous system. In terms of the subjective well-being of students, 14.13% were found to have a low rating. 86.74% were found to have generalized anxiety; 75% had trait anxiety, and 80.22% had state anxiety. Our results indicate the need for preventive measures to minimize anxiety and help maintain necessary levels of well-being during this phase of academic development and when forging a professional career. It is expected that new studies will contribute to the advancement of such themes, particularly with university students.
IntroductionPerfectionism has been associated to Perseverative Negative Thinking [PNT]. Both are transdiagnostic processes. PNT (in the form of worry and rumination) is a prime candidate when investigating negative components of perfectionism (Macedo et al., 2013).ObjectivesTo investigate if PNT mediates the relationship between perfectionism and negative affect [NA].Methods344 university students (68.4% girls) were evaluated using Portuguese validated versions of the Perseverative Thinking Questionnaire (two subscales:’Repetitive Thought’ [RT] and’Cognitive Interference and Unproductiveness’ [CIU]), Multidimensional Perfectionism Scale, Profile of Mood States and Perceived Stress Scale, with an additional item to evaluate perceived social support [PSS]. Only variables significantly correlated with the outcomes [NA] were entered in the hierarchic multiple regression models. Mediation analyses using Preacher and Hayes bootstrapping methodology were performed.ResultsPerceived Stress [PS] ((=.245), PSS ((=-.257), Self-Oriented Perfectionism [SOP] ((=-.126), Self-Prescribed Perfectionism [SPP] ((=.122; p=.011), Concern over Mistakes [CM] ((=.102), Doubts about Actions [DA] ((=.115) and CIU ((=.110) were significant predictors (all p<.05) of NA. Controlling for PS and PSS, the perfectionism variables still predict depression, accounting for a significant increment of 16.7% (p<.01). The CIU, introduced in the model after the Perfectionism variables, significantly increments the NA variance in 1.6% (p<.01). CIU was a total mediator in the relationship between SOP and NA (IC95% .025-.229) and a partial mediator in the relationship between SPP (.176-.456), CM (.142-.855), DA (.143-.863) and NA.ConclusionPNT potentiates the relationship between negative perfectionism and NA. Positive perfectionism is associated with NA, only in the presence of PNT.
IntroductionThe F-Multidimensional Perfectionism Scale is a widely used instrument to assess perfectionism trait. The original scale comprises 35-items that measure the six dimensions of Frost et al (1990) conceptualization of perfectionism: personal standards (PS), concern over mistakes (CM), doubts about actions (DA), parental criticism (PC), Parental expectations (PE) and Organization (O).ObjectiveTo examine the factor structure of the 24-items short form of the F-MPS using confirmatory factor analysis (CFA), in a sample of Portuguese university students.MethodsThe sample comprises 344 university students (68.4% females), with an average age of 20.69 years (SD = 1.59; range = 17–24). They completed a version of F-MPS with 24 items that results from the selection of the four items with highest loadings in the respective six dimensions of the original Portuguese version (Amaral et al., 2013).ResultsAfter correlated errors, we obtained a good fit for the FMPS with six factors (X2/df = 2.125; CFI = .936; GFI = .891, RMSEA = .057; P[rmsea≤ .05] = .043). The 24-item F-MPS short form revealed good internal consistency (α = .825). The six dimensions showed acceptable or good internal consistency, as revealed by Cronbach's alpha (α: PS = .80; CM = .76; DA = .82; PC = .84; PE = .89, O = .85).ConclusionsThe F-MPS 24 items short form CFA confirmed the six factor model as a reliable and valid measure to assess multidimensional perfectionism in Portuguese university students.Disclosure of interestThe authors have not supplied their declaration of competing interest.
A utilização de canais on-line como meio de comercialização de produtos, serviços e informações permite a ampla expansão do raio de atuação de uma empresa, o que implica no uso de sistemas logísticos que atendam, organizem e enviem os pedidos com segurança e no prazo estimado. A pandemia de Covid-19 e consequente isolamento social desencadeou mudanças nos hábitos de consumo de diversos públicos com a migração para o ambiente digital, o que trouxe novos desafios às empresas que atuam no e-commerce, especialmente quanto à logística. Em face disso, este estudo tem como objetivo analisar a influência do desempenho logístico de compras via e-commerce na experiência de compra do consumidor universitário na pandemia de Covid-19. Para tal, coletaram-se dados quantitativos de 413 estudantes universitários da região sul do Brasil. A análise dos dados permitiu observar que 98,55% dos respondentes já realizaram compras utilizando o comércio eletrônico. Foram constatadas mudanças em seus hábitos de consumo on-line, com aumento no valor médio despendido e na frequência de compra, além do incremento de vendas em 14 das 19 categorias de produtos consideradas no estudo, com destaque àquelas vinculadas ao consumo doméstico e à saúde. Pôde-se observar que o tempo de entrega é um dos atributos mais importantes na experiência do consumidor virtual e que, apesar dos problemas ainda encontrados durante a pandemia, a velocidade da entrega percebida aumentou durante o período.
No ambiente industrial, as empresas buscam criar vantagens competitivas em relação a seus concorrentes. Para isso, o processo produtivo deve ser acompanhado, a fim de identificar modos que o processo pode falhar e estabelecer ações corretivas para evitar que ocorram. Tendo isso em vista, o presente estudo tem como objetivo identificar os modos potenciais de falha de um processo em uma metalúrgica por meio da metodologia FMEA (Failure Mode and Effects Analysis). O processo escolhido como objeto deste estudo foi o corte de tarugos de aço, cuja análise verificou que as principais causas de falha são erros ligados a recursos humanos e que cerca de 30% dos modos potenciais de falhas geram paradas de produção. Assim, sugeriu-se a implementação de um plano de capacitação efetivo, bem como a execução de procedimentos de controle da qualidade, a fim de melhorar o desempenho do processo industrial em questão.
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