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1.
Psychol Health Med ; : 1-12, 2024 Mar 18.
Article in English | MEDLINE | ID: mdl-38498980

ABSTRACT

There is a lack of studies addressing the psychological mechanisms underlying the association between individual differences in greed and well-being. This study tested the relationship between dispositional greed, and satisfaction with life, as well as the moderating effect of social comparison orientation on this association (N = 373). As expected for hypothesis 1, we found that greed correlated negatively with satisfaction with life, and positively with social comparison orientation, even after controlling for individuals' mental health index (anxiety and depression), supporting the hypothesis 2. Further, the moderating effect of social comparison strengthened the relationship between high levels of dispositional greed and dissatisfaction with life, failing to support hypothesis 3. As such, individuals high on dispositional greed were less satisfied with life if they also showed lower (vs. medium level) levels of social comparison orientation. These findings add to the psychological literature on greed by showing that social comparison is not only positively related to it but can also be a vital mechanism for boosting psychological well-being.

2.
Front Psychol ; 14: 1189283, 2023.
Article in English | MEDLINE | ID: mdl-37588241

ABSTRACT

Introduction: There is a global effort to address the school dropout phenomenon. The urgency to act on it comes from the harmful evidence that school dropout has on societal and individual levels. Early Warning Systems (EWS) for school dropout at-risk student identification have been developed to anticipate and help schools have a better chance of acting on it. However, several studies point to a doubt that Correct EWS may come too late because they use only publicly available and general student and school information. We hypothesize that having a tool to assess more subjective and inter-relational factors would help anticipate where and when to act to prevent school dropout. This study aimed to develop a multidimensional measure for assessing relational factors for predicting school dropout (SD) risk in the Brazilian context. Methods: We performed several procedures, including (a) the specialized literature review, (b) the item development of the Relational Factors for the Risk of School Dropout Scale (IAFREE in Portuguese), (c) the content validity analysis, (d) a pilot study, and (e) the administration of the IAFREE to a large Brazilian sample of high school and middle school students (N = 15,924). Results: After the theoretical steps, we found content validity for five relational dimensions for SD (Student-School, Student-School Professionals, Student-Family, Student-Community, and Student-Student) that include 12 facets of risk factors. At the empirical stage, confirmatory analysis corroborated the proposed theoretical model with 12 first-order risk factors and 5 s-order dimensions (36 items). Further, through the Item Response Theory analysis, we assessed the individual item parameters of the items, providing a brief measure without losing psychometric quality (IAFREE-12). Discussion: We discuss how this model may fill gaps in Correct EWS models and how to advance it. The IAFREE is a good measure for scholars investigating the risk of SD. These results are important for implementing an early warning system for SD that looks into the complexity of the school dropout phenomenon.

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