E F Haghish

Biographic Data

ID887696
NAMEE F Haghish
GIVEN NAMESE F
FAMILY NAMEHaghish
SIGNATUREHAGHISH E F
AFFILIATIONSUniversity of Oslo
ORCID0000-0001-5950-4009
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS19
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX3

  • Some for a Good Time, Some for a Long Time

    Open AccessRazieh Chegeni, Dominic Sagoe et al.ARTICLESubstance Use & Misuse2024

    Background: The present study aimed to explore women’s perception of men with different addictions in terms of their short- and long-term mate value. Objectives: 2,525 women (age range: 18–40, M = 28.35, SD = 6.39) were randomized to six conditions in a vignette-based experiment where a male of otherwise high mating value was described as suffering from either gambling, gaming, cannabis, anabolic androgenic steroid, and alcohol addiction or as no…

  • Reconsidering False Positives in Machine Learning Binary Classification Models of Suicidal Behavior

    Open AccessE F Haghish, Nikolai Olavi Czajkowski et al.ARTICLECurrent Psychology2024

    We posit the hypothesis that False Positive cases (FP) in machine learning classification models of suicidal behavior are at risk of suicidal behavior and should not be seen as sheer classification error. We trained an XGBoost classification model using survey data from 173,663 Norwegian adolescents and compared the classification groups for several suicide-related mental health indicators, such as depression, anxiety, psychological distress, and…

  • Unveiling Adolescent Suicidality

    Open AccessE F Haghish, Ragnhild Bang Nes et al.ARTICLEJournal of Youth and Adolescence2024Cited by: 1References: 95

    Adolescent suicide attempts are on the rise, presenting a significant public health concern. Recent research aimed at improving risk assessment for adolescent suicide attempts has turned to machine learning. But no studies to date have examined the performance of stacked ensemble algorithms, which are more suitable for low-prevalence conditions. The existing machine learning-based research also lacks population-representative samples, overlooks p…

  • Predicting suicide attempts among Norwegian adolescents without using suicide-related items

    Open AccessE F Haghish, Nikolai Olavi Czajkowski et al.ARTICLEFrontiers in Psychiatry2023

    This study underscores the potential of machine learning for screening adolescent suicide attempts on a population scale without requiring sensitive suicide-related survey items. Future research investigating the etiology of suicidal behavior may direct particular attention to internalizing problems, interpersonal relationships, victimization, and substance use

  • Adolescents' psychosocial well-being one year after the outbreak of the Covid-19 pandemic in Norway

    Open AccessTilmann Von Soest, Michal Kozák et al.ARTICLENature Human Behaviour2022Cited by: 6References: 49

  • Effective language and literacy instruction

    Open AccessDorthe Bleses, Anders Højen et al.ARTICLEEarly Childhood Research Quarterly2017Cited by: 6References: 5

  • Influential factors on ethnocentrism

    Open AccessArash Heydari, A Teymoori et al.ARTICLESocial Science Information2014Cited by: 6References: 51

    This study examines the relation of dimensions of ethnocentrism with socio-structural factors such as socioeconomic status (SES), feelings of anomie, and authoritarianism. Using clustered sampling, 500 students were selected from ten high schools in Ahvaz, Iran. Results of structural equation modeling showed that SES has a direct positive effect on ethnocentrism and an indirect effect through anomie and authoritarianism. Similarly, anomie mediate…