Jurnal Online STTKD (Sekolah Tinggi Teknologi Kedirgantaraan)
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Bistability and affect shift dynamics in the prediction of psychological well-being
How affective experiences, such as feelings, emotions, and moods, fluctuate over time is relevant for understanding and predicting psychological well-being. Here, we present a novel approach to investigate affect dynamics grounded on the concept of multistability, a common behaviour of complex systems, characterised by abrupt shifts between two or more stable states. We analyse self-report measures in two Ecological Momentary Assessment studies from Spain (N=65) and Germany (N=56). Participants were asked to rate how they feel on a single bipolar visual analogue scale ranging from very bad to very good, six times a day over the course of 29 days in the Spanish study and five times a day during 21 days in the German study. We observe bistable behaviour in 65% of the Spanish and 46% of the German sample. Further, we introduce a range of metrics to quantify the frequency and magnitude of shifts between positive and negative affect, and identify the ratio of positive to negative affect shifts (P2N-ASR) as a robust predictor of psychological well-being. Our results suggest that affective bistability is a prevalent feature of affect dynamics, and highlight the potential of P2N-ASR as a valuable tool for predicting psychological well-being both in research and clinical settings
Enhancing machine-related safety on farms: A systematic review
This preprint presents a systematic review investigating interventions to reduce machine-related accidents on farms and the behavioral components included in these interventions. The study utilized a comprehensive search strategy, followed by a narrative synthesis of included studies. The results identified key intervention strategies, behaviour change techniques present in these strategies as well as gaps in the existing literature, and emphasized the importance of targeting specific safety behaviors and involving stakeholders in intervention design. This preprint contributes to the literature on behavior change interventions in farm machine safety and provides recommendations for future interventions. The findings have implications for researchers, practitioners, and policymakers interested in occupational health and safety in farm machine safety
Understanding the significance of bonding social capital for the well-being of first-generation labour migrants: A cross-sectional study in the Netherlands.
Purpose: The present study aims to contribute to the existing, yet still limited, research literature on the association between bonding social capital (BSC) and well-being in older populations, with a specific focus on understanding this association in a population of first-generation labour migrants with a collectivistic cultural background, living in an individualistic country.
Methodology: A cross-sectional study was conducted with a sample of 119 Turkish first-generation labour migrants (64.7% male; age 65-87, M(SD)=71.13(5.04) and 124 Dutch non-migrants (32.3% male, age 65-94, M(SD)= 71.9(5.32). Both samples filled out either an online or printed questionnaire measuring bonding social capital (PSCSE, Simons et al., 2020), and psychological, social and emotional well-being (MHF-SF, Lamers et al., 2011) and relevant demographic covariates.
Findings: Regression analyses showed positive associations between BSC and respectively overall well-being and its subdimensions emotional, social and psychological well-being in both samples. Moderation analyses showed that these associations were significantly stronger for the Turkish older migrants. These findings suggest that the migrant sample relies more heavily on close-knit homogeneous social networks for socioemotional support and assistance than the non-migrants.
Originality: Research on social capital and the well-being of older migrants is limited. The results of this study clarify the role of social capital and are explained with the context of the combined challenges these migrants face and provide direction for further research and the development of practical interventions to improve the well-being of the rapidly growing and increasingly diverse older populations
Cognitions and Emotions about Child Sexual Abuse (CECSA): Development of a Self-Report Measure to Predict Interviewer Bias
Interviewer bias fosters confirmatory reasoning and suggestive questioning when adults talk to children about abuse suspicions in investigative, child-protection, healthcare, or educational settings. We developed a self-report instrument on Cognitions and Emotions about Child Sexual Abuse (CECSA) that may predict individual propensity for interviewer bias. Three subscales, 23 items in total, were created in a sample of 801 humanities students via exploratory factor analysis and Ant Colony Optimization. The “Naïve Confidence” subscale reflects overestimating one's ability to recognize abused children and overestimating the accuracy of children’s abuse reports, the "Emotional Reactivity" subscale measures the intensity of one's emotional reactions towards the topic of child sexual abuse (CSA), and the "Justice System Distrust" subscale covers distrusting the justice system’s ability to prosecute CSA. The CECSA showed adequate model fit and good internal consistencies. Correlations with other self-report measures demonstrated convergent validity. All subscales predicted biased evaluations towards the abuse hypothesis in scenarios of children displaying unspecific behavioral problems. This indicates predictive validity of the CECSA to measure vulnerability for interviewer bias, although further validation effort is needed. Prospectively, the CECSA may be used to evaluate interviewer trainings or to assess training needs of professionals who talk to children about CSA suspicions
Probability estimates of verbal descriptions (online survey among student population)
An online survey will ask participants to translate verbal descriptions of probability into point-estimates of likelihood (as percentages). The same verbal descriptions will first be estimated in a neutral context, and then in contexts of positive and negative medical outcomes. For the neutral condition participants are asked to provide the upper and lower limits of how they interpret the expressions in addition to their point-estimates. The aim of the experiment is both to describe how Norwegian verbal expressions of probability are used, and to see how they are interpreted differently based on context
Mental Health Change Amidst the COVID-19 Pandemic
This study investigates mental health change amidst the COVID-19 pandemic. In addition, this study seeks to identify mental health trajectories following this crisis, and explore group differences that characterize distinct trajectories
The investigation of psychological factors following ACL injury and comparison between surgical and non-surgical management: A Systematic Review, International Cohort Data Harmonization and Individual Patient Data Meta-Analysis
This project is an attempt to harmonize the available data on psychological outcome measures following ACL injury from various cohorts across the world. We will attempt to perform an individual patient data (IPD) meta-analysis to explore psychological outcomes following ACL injury and how they may be impacted by modifiable treatment strategy
Perceived polarization and online activity associated with radical social views
Secondary Data Analysi
EQUATOR Library Audit
To identify true gaps and ensure that reporting guidelines remain a useful tool that is straightforward to use, we are conducting a full audit of the current reporting guidelines’ landscape. We are extracting data on general reporting guidelines characteristics (e.g., scope of guideline, journal and year of publication, length of reporting guideline), methods used to develop the reporting guidelines (e.g., details on any literature review, Delphi survey, consensus process, composition of guideline group, pilot testing), and how they were disseminated (e.g., multiple publications, explanatory document, website). We are using the data collected on development methods to update our taxonomy of reporting guidelines, currently based on their scope (specific to study design, section of the report, clinical area, or a combination of these), and whether the document describes an extension of a previous guideline