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Objectives: The Dark Triad traits (i.e., narcissism, psychopathy, Machiavellianism) capture individual differences in aversive personality to complement work on other taxonomies, such as the Big Five traits. However, the literature on the Dark Triad traits relies mostly on samples from English-speaking (i.e., Westernized) countries. We broadened the scope of this literature by sampling from a wider array of countries. Method: We drew on data from 49 countries (N = 11,723; 65.8% female; Age Mean = 21.53) to examine how an extensive net of country-level variables in economic status (e.g., Human Development Index), social relations (e.g., gender equality), political orientations (e.g., democracy), and cultural values (e.g., embeddedness) relate to country-level rates of the Dark Triad traits, as well as variance in the magnitude of sex differences in them. Results: Narcissism was especially sensitive to country-level variables. Countries with more embedded and hierarchical cultural systems were more narcissistic. Also, sex differences in narcissism were larger in more developed societies: Women were less likely to be narcissistic in developed (vs. less developed) countries. Conclusions: We discuss the results based on evolutionary and social role models of personality and sex differences. That higher country-level narcissism was more common in less developed countries, whereas sex differences in narcissism were larger in more developed countries, is more consistent with evolutionary than social role models.

Within the rapid proliferation of gender studies and the underrepresentation of women in science, technology, engineering and mathematics (STEM), an area of research has emerged among scholars. Over the past years, different academic, health and economic institutions have called for a closer analysis of women underrepresentation in STEM careers. In Peru, there is some preliminary evidence with regard of women underrepresentation in STEM careers, however, qualitative studies are scarce in the field. To analyze this gender gap phenomenon, we explored experiences, feelings, behaviors and Social Cognitive Career Theory variables such as self-efficacy, barriers, supports and career development. To reach this goal, qualitative and in-depth interviews were carried out among female engineering students. All participants were in their last year of career andwere selected from three universities in Lima, Peru. A thematic analysis confirmed SCCT variables such as self- efficacy, interest, goals, outcome expectations, barriers and supports in different themes. In addition to this, several subthemes emerged in each component across the sample. However, it was of particular interest the presence of sub- themes in the barrier theme, which was composed of "economic barriers", "effects barriers", "mother career barriers", "father career barriers", "institutional barriers", "social barriers", "direct gender discrimination" and "indirect gender discrimination". Even though these factors were not present in the majority of students, it showed educational experiences in female students from engineering careers in Peru. Implications for these findings are discussed for educational institutions, career counsellors and gender equality policymakers.

it is well known that an economy based on knowledge has a strong potential for human capital. In this sense, universities have a key role in student’s professional development and performance, as well as to increase the number of professional population in science, technology, engineer, and mathematics. The aim of the present study is to obtain student’s individual, structural and external characteristics by considering their context, which represents a condition that shape student’s interest, persistence and goals in computing engineering discipline through career development. To accomplish this, we used self-reports based on Social Cognitive Career Theory in a sample of system engineering students (n=270) from three universities in the north of Lima. In addition to this, we evaluate the model through Structural Equation Modeling (SEM) under the partial least squared (PLS-SEM) approach. Results showed different associations and effects in individual and contextual variables among system engineering students.

According to the world internet statistics, Peru reported 22 million of internet users in 2017 and the penetration rate was 67% in the same year [1]. With the rapid proliferation of internet and videogames, internet addiction and addiction to videogames has become a topic of interest among different professionals, scholars, organizations and the media in Peru. Despite the fact that previous research has found clear differences and demographic profiles for internet addiction and internet gaming disorder, to our knowledge, there have been no further reports on these associations between these variables in Peruvian gamers. In addition to this, the term "internet addiction" has always been associated with videogames in the Peruvian context. Therefore, the present study aimed to examine the extent of association between problematic internet use, gaming addiction, and time spent playing, depression, and anxiety. Methods: To examine these associations, Peruvian gamers completed the problematic internet use questionnaire (PIUQ), and problematic online gaming questionnaire (POGQ), as well as anxiety and depression subscales of the Brief Symptom Inventory (BSI). Results: As expected, results demonstrated significant associations between PIUQ, POGQ, anxiety, depression and amount of weekly gaming. Implications and results are discussed for academics and mental health professionals in Peru.