Psychometric properties of the Maladaptive Daydreaming Scale in a sample of Hungarian daydreaming-prone individuals
| Autor: | Ákos Münnich, Alexandra Sándor, Judit Molnár |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Psychometrics Medicine (miscellaneous) Sample (statistics) Absorption (psychology) Fantasy Adverse Childhood Experiences Maladaptive daydreaming Adaptation Psychological medicine Humans Hungary Reproducibility of Results General Medicine medicine.disease Clinical Practice Psychiatry and Mental health Clinical Psychology Snowball sampling Convergent validity Scale (social sciences) Female Self Report Psychology human activities Clinical psychology |
| Zdroj: | Journal of behavioral addictions. 9(3) |
| ISSN: | 2063-5303 |
| Popis: | Objectives: The aim of the study is to adapt the Maladaptive Daydreaming Scale (MDS-16) to Hungarian, assess its psychometric properties, and establish its cut-off score. In addition, the relationship between maladaptive daydreaming and adverse childhood experiences was examined.Method: Study participants were recruited online via snowball sampling. Based on three inclusion criteria (self-identified MDer status; control over daydreaming; frequency of daydreaming) 160 out of 494 respondents were included in the study.Results: Our results confirm both the high reliability and convergent validity of the questionnaire. The cut-off score of 60 percentiles can reliably discriminate between excessive and normal daydreamers. The general applicability of the MDS-16-HU was tested and confirmed by the use of the Adverse Childhood Experience Questionnaire (ACE-10), a short, self-report questionnaire. Its results showed that certain types of childhood adversities increase the likelihood of maladaptive daydreaming.Conclusions: The instrument is a valid and reliable measure, therefore it can serve as a useful screening tool in clinical practice. In addition, our findings highlighted the role of childhood adversities in the aetiology of maladaptive daydreaming. |
| Databáze: | OpenAIRE |
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