ORCID Profile
0000-0002-3892-3199
Current Organisations
University of Turku
,
University of Helsinki
,
Finnish Red Cross
,
Aatos Cooperative
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Publisher: Springer Science and Business Media LLC
Date: 21-06-2022
DOI: 10.1038/S41597-022-01383-6
Abstract: During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve in iduals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing ersity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: Springer Science and Business Media LLC
Date: 04-01-2021
DOI: 10.1038/S41597-020-00784-9
Abstract: This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.
Publisher: The Royal Society
Date: 02-2021
DOI: 10.1098/RSOS.200589
Abstract: The COVIDiSTRESS global survey collects data on early human responses to the 2020 COVID-19 pandemic from 173 429 respondents in 48 countries. The open science study was co-designed by an international consortium of researchers to investigate how psychological responses differ across countries and cultures, and how this has impacted behaviour, coping and trust in government efforts to slow the spread of the virus. Starting in March 2020, COVIDiSTRESS leveraged the convenience of unpaid online recruitment to generate public data. The objective of the present analysis is to understand relationships between psychological responses in the early months of global coronavirus restrictions and help understand how different government measures succeed or fail in changing public behaviour. There were variations between and within countries. Although Western Europeans registered as more concerned over COVID-19, more stressed, and having slightly more trust in the governments' efforts, there was no clear geographical pattern in compliance with behavioural measures. Detailed plots illustrating between-countries differences are provided. Using both traditional and Bayesian analyses, we found that in iduals who worried about getting sick worked harder to protect themselves and others. However, concern about the coronavirus itself did not account for all of the variances in experienced stress during the early months of COVID-19 restrictions. More alarmingly, such stress was associated with less compliance. Further, those most concerned over the coronavirus trusted in government measures primarily where policies were strict. While concern over a disease is a source of mental distress, other factors including strictness of protective measures, social support and personal lockdown conditions must also be taken into consideration to fully appreciate the psychological impact of COVID-19 and to understand why some people fail to follow behavioural guidelines intended to protect themselves and others from infection. The Stage 1 manuscript associated with this submission received in-principle acceptance (IPA) on 18 May 2020. Following IPA, the accepted Stage 1 version of the manuscript was preregistered on the Open Science Framework at osf.io/ytbcs . This preregistration was performed prior to data analysis.
Publisher: American Psychological Association (APA)
Date: 04-2023
DOI: 10.1037/HEA0001268
Publisher: Center for Open Science
Date: 14-05-2023
Abstract: This is the Finnish version of the Perth Alexithymia Questionnaire (PAQ). Aleksitymia on moniulotteinen ilmiö, joka koostuu kolmesta osatekijästä: vaikeus tunnistaa tunteita (difficulty identifying feelings, DIF), vaikeus kuvailla tunteita (difficulty describing feelings, DDF) ja ulospäin suuntautunut ajattelutyyli (externally orientated thinking style, EOT), jossa ihminen pyrkii olemaan kohdistamatta huomiota tunteisiinsa. Toisin sanoen ihmisillä, joilla on korkea aleksitymia, on vaikeuksia kohdistaa huomiota tunnetiloihinsa (EOT) ja arvioida tarkasti, mitä kyseiset tilat ovat (DIF, DDF) (Preece jm, 2017 Sifneos, 1973). Aleksitymian tarkkaavaisuus-arviointimallin määrittelyn mukaan (Preece ym., 2017) ihmisten yleinen aleksitymiataso heijastaa heidän tunnemalliensa (eli kognitiivisten rakenteiden, joita käytetään tulkitsemaan tunnetietoa) kehitystasoa ja sitä, missä määrin he välttävät keskittymistä tunnetiloihinsa. On olemassa hyviä todisteita siitä, että aleksitymia on suhteellisen vakaa piirre, vaikka sen taso voi silti vaihdella ajan myötä, esimerkiksi silloin, kun ihmiset kokevat lisääntynyttä ahdistusta tai vastauksena kohdennettuun hoitoon (esim. Luminet ym, 2001). PAQ (Preece jm, 2018) on 24-kohtainen aleksitymian itsearviointiväline. Se on suunniteltu käytettäväksi aikuisille ja nuorille. PAQ on suunniteltu arvioimaan kaikkia aleksitymian osatekijöitä sekä negatiivisten että positiivisten tunteiden kautta. Testistä voidaan johtaa viisi osa-asteikkopistemäärää ja kuusi yhdistelmäpistemäärää (kukin lueteltu alla olevassa taulukossa), ja korkeammat pistemäärät osoittavat korke aa aleksitymian tasoa. Käytännössä useimmiten käytetään ja raportoidaan 5 osa-asteikon pistemäärää ja yhdistelmäpistemäärää, koska kyseisessä yhdistelmässä kattavuus ja lyhyys ovat hyvin tasapainossa, mikä sopii useimpiin tutkimus- ja kliinisiin tarkoituksiin.
Publisher: Center for Open Science
Date: 02-2023
Abstract: Ideal partner preferences (i.e., ratings of the desirability of attributes like attractiveness or intelligence) are the source of numerous foundational findings in the interdisciplinary literature on human mating. Recently, research on the predictive validity of ideal partner preference-matching (i.e., do people positively evaluate partners who match versus mismatch their ideals?) has become mired in several problems. For one, articles exhibit discrepant analytic and reporting practices. Furthermore, different findings emerge across laboratories worldwide, perhaps because they s le different relationship contexts and/or populations. The current project—partnered with the Psychological Science Accelerator—can bring clarity to this literature. This registered report uses a highly powered design across multiple world regions to calculate preference-matching effect sizes and variability estimates for all relevant analytic tests. It also examines effects in different relationship contexts and subs les (e.g., attraction, established relationships, recently formed relationships).
No related grants have been discovered for Jarno Tuominen.