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Mariah Lecompte

Biographic Data

ID7933975
NAMEMariah Lecompte
GIVEN NAMESMariah
FAMILY NAMELecompte
SIGNATURELECOMPTE M
AFFILIATIONSToronto Metropolitan University
ORCID0000-0001-5231-4210
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Demographic and Covid Experience Predictors of Covid-19 Risk Perception among Chinese Residents in Canada

    Open Access•Mariah Lecompte, Alyssa Counsell et al.•ARTICLE•International Journal of…•2022

    The current study aimed to identify demographic and COVID experience predictors for COVID-19 risk perception among Chinese residents in Canada. A final sample of 653 participants aged 18 and up completed an online survey in simplified Chinese during the peak of the first wave of COVID-19 (25 April-10 June 2020). After removing those with missing data on demographic covariates, as missing data cannot be imputed, 444 were included in the structural…

  • The age-related associative deficit simulated by relational divided attention

    Brenda Iok Wong, Mariah Lecompte et al.•ARTICLE•Memory•2021

    According to the associative deficit hypothesis, older adults experience greater difficulty in remembering associations between pieces of information than young adults, despite their relatively intact memory for individual items. It has been demonstrated that this deficit could be simulated by depleting resources for relational processing. The current study examines the possible mechanisms underlying this simulation. Item and associative memory w…

  • Sociodemographic and Covid-Related Predictors for Mental Health Condition of Mainland Chinese in Canada Amidst the Pandemic

    Open Access•Linke Yu, Mariah Lecompte et al.•ARTICLE•International Journal of…•2021

    The current study investigates the mental health condition of Mainland Chinese in Canada and identifies the associated sociodemographic and COVID-19-related predictors. A sample of 471 Mainland Chinese aged 18 or older completed an online survey that collected information on demographics, experience, cognition, and behaviours related to the COVID-19 pandemic and mental health condition. Mental health condition was assessed with the Depression, An…

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  • The age-related associative deficit simulated by relational divided attention

    Brenda Iok Wong, Mariah Lecompte et al.•ARTICLE•Memory•2021

    According to the associative deficit hypothesis, older adults experience greater difficulty in remembering associations between pieces of information than young adults, despite their relatively intact memory for individual items. It has been demonstrated that this deficit could be simulated by depleting resources for relational processing. The current study examines the possible mechanisms underlying this simulation. Item and associative memory w…

  • Sociodemographic and Covid-Related Predictors for Mental Health Condition of Mainland Chinese in Canada Amidst the Pandemic

    Open Access•Linke Yu, Mariah Lecompte et al.•ARTICLE•International Journal of…•2021

    The current study investigates the mental health condition of Mainland Chinese in Canada and identifies the associated sociodemographic and COVID-19-related predictors. A sample of 471 Mainland Chinese aged 18 or older completed an online survey that collected information on demographics, experience, cognition, and behaviours related to the COVID-19 pandemic and mental health condition. Mental health condition was assessed with the Depression, An…

  • Demographic and Covid Experience Predictors of Covid-19 Risk Perception among Chinese Residents in Canada

    Open Access•Mariah Lecompte, Alyssa Counsell et al.•ARTICLE•International Journal of…•2022

    The current study aimed to identify demographic and COVID experience predictors for COVID-19 risk perception among Chinese residents in Canada. A final sample of 653 participants aged 18 and up completed an online survey in simplified Chinese during the peak of the first wave of COVID-19 (25 April-10 June 2020). After removing those with missing data on demographic covariates, as missing data cannot be imputed, 444 were included in the structural…

Psychology (3 works) · Coronavirus disease 2019 (COVID-19 (2 works) · COVID-19 and Mental Health (2 works) · Demography (2 works) · Demography (2 works) · Disease (2 works) · Medicine (2 works) · Pandemic (2 works) · Anxiety (1 work) · Artificial Intelligence (1 work)

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