Cited by 7Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyPersonality Traits and Psychology

Adição à internet e caraterísticas de personalidade: Um estudo com estudantes universitários portugueses

Open access
Monteiro, Ana Paula, Sousa, Manuel, Correia, Elisete·2020·Revista Portuguesa de Educação

Abstract

O uso problemático da internet principalmente pelos jovens constitui uma preocupação atual, no sentido de averiguar a prevalência do uso aditivo, assim como a possível associação com as diferenças individuais. Este estudo pretende conhecer a relação entre a adição à internet e as caraterísticas de personalidade, contempladas no modelo de cinco fatores. Pretendeu-se também analisar a relação entre as variáveis sociodemográficas, designadamente sexo e idade, e a adição à internet. Participaram na investigação 1050 estudantes universitários de diferentes cursos, entre os 17 e os 35 anos, sendo 633 do sexo feminino e 417 do sexo masculino, aos quais foi aplicado um questionário composto por questões sociodemográficas, o Internet Addiction Test (IAT), de Young (1998), validado para a população portuguesa por Pontes et al. (2014), e a versão portuguesa do NEO-Five-Factor Inventory (NEO-FFI) (Magalhães et al., 2014). As principais conclusões apontam que os indivíduos mais neuróticos, mais extrovertidos, menos amáveis e menos conscienciosos revelam um grau de adição à internet mais elevado. Observou-se ainda que os indivíduos mais jovens e do sexo masculino são tendencialmente mais adictos à internet. São discutidas as implicações práticas da investigação, limitações e propostas para estudos futuros.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.21814/rpe.17699

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

5 of the 39 references couldn’t be matched to a known paper.

Research works printed but not linked: 12

  1. Revista Portuguesa de Educação, 33(2), 159-176. http://doi.org/10.21814/rpe.17699
  2. Costa, R., & Patrão, I. (2016). As relações amorosas e a internet: Dentro e fora da rede. In I. Patrão & D. Sampaio (Coords.), Dependências online. O poder das tecnologias (pp. 118-132).
  3. Hinić, D., Mihajlović, G., & Ðukić-Dejanović, S. (2010). 'Internet addiction' in relation to cognitive or somatic depression. Journal of Cognitive and Behavioral Psychotherapies, 10(2), 187-197. Revista Portuguesa de Educação, 33(2), 159-176. http://doi.org/10.21814/rpe.17699
  4. John, O., Naumann, L., & Soto, C. (2008). Paradigm shift to the integrative Big Five trait taxonomy: History, measurement, and conceptual issues. In O. P. John, R.W. Robins, & L. A. Perkin (Eds.), Handbook of personality: Theory and research (3 rd ed., pp. 114-158). Guilford Press.
  5. Lima, M. P., & Simões, A. (2006). Inventário de personalidade NEO revisto (NEO-PI-R). In M. Gonçalves, L. Almeida, M. Simões, & C. Machado (Eds.), Avaliação psicológica -Instrumentos validados para a população portuguesa (2.ª ed., vol. I, pp. 15-32).
  6. Magalhães, E., Salgueira, A., Gonzalez, A., Costa, J., Costa, M., Costa, P., & Lima, M. (2014). NEO-FFI: Psychometrics properties of a short personality inventory in Portuguese context. Psicologia: Reflexão e Crítica, 27(4), 599-614.
  7. Marôco, J. (2007). Análise estatística com utilização do SPSS (3.ª ed.). Edições Sílabo.
  8. In I. Patrão & D. Sampaio (Coords.), Dependências online. O poder das tecnologias (pp. 151-167).
  9. Sampieri, R., Collado, C., Lucio, P. (2006). Metodología de la investigación (4.ª ed.). McGraw-Hill Interamericana.
  10. Viñas, F. (2009). Uso autoinformado de internet en adolescentes: Perfil psicológico de un uso elevado de la red. International Journal of Psychology and Psychological Therapy, 9(1), 109-122.
  11. Young, K. S. (2004). Internet addiction. A new clinical phenomenon and its consequences. American Behavioral Scientist, 48(4), 402-415.
  12. In K. Young & C. Abreu (Eds.), Internet addiction: A handbook and guide to evaluation and treatment (pp. 19-34).

Cited by

Sorted by citations

Authors
Monteiro, A. P., Sousa, M., & Correia, E.
Affiliations
University of Trás-os-Montes and Alto Douro (PT)
Venue
Revista Portuguesa de Educação
Published
2020-12-30
Volume
33
Issue
2
Pages
159-176
ISSN
  • 0871-9187 (ISSN-L)
  • 2183-0452
OpenAlex
W3115504951
Cited by
7
References
39
Citations by year
2026: 1 · 2025: 1 · 2023: 4 · 2020: 1
FWCI
1.67
Type
journal article
Language
pt
Open access
Locations
  • Revista Portuguesa de Educação (publishedVersion, cc-by-sa)
  • Scientific Repository of Open Access of Portugal (RCAAP) (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
Keywords
internet addiction, personality traits, Big Five personality model, neuroticism, extraversion, agreeableness, conscientiousness, sociodemographic factors, sex differences, age differences, university students, problematic internet use

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review