Personality Variables Research Articles

Scoping review on shamanistic trances practices

BackgroundShamanism is a spiritual tradition in which trance practitioners deliberately modify their state of consciousness to seemingly interact with an invisible world to resolve their community members’ problems. This review aims to provide a multidisciplinary overview of scientific research on shamanic trance.MethodsThe search was performed using PubMed and Google Scholar databases. Twenty-seven articles were found to be eligible, and their data were classified into four dimensions, namely, a) phenomenology, b) psychology, c) neuro-physiological functions, and d) clinical applications.ResultsThese studies suggest that these trances are non-pathological, different from normal states of consciousness in terms of phenomenology and neurophysiology, and influenced by multiple personal and environmental variables. Furthermore, while trances may offer therapeutic potential, their scope should be approached cautiously, underscoring the need for rigorous studies to assess the effectiveness of shamanic approaches for complementary therapies.ConclusionOverall, shamanic trance and its potential benefits remain an intriguing and multifaceted area of scientific study, offering insights into the intersections of consciousness, spirituality, and possibly therapy.

Pengaruh Stres Kerja, Pengembangan Karir dan Kepribadian terhadap Komitmen Organisasional: Studi pada RSUD Dr. Gondo Suwarno Ungaran Kabupaten Semarang

The research aims to analyze the influence of work stress, career development and personality on organizational commitment at RSUD Dr. Gondo Suwarno Ungaran, Semarang Regency. The type of data used is primary data, namely data obtained directly from original sources in the form of questionnaires. The population of this study were employees at RSUD Dr. Gondo Suwarno Ungaran. Sampling was carried out using a purposive sampling technique, namely a sampling technique using certain criteria, so that a sample of 315 respondents was obtained. The data collected was analyzed using factor analysis to test the validity of the question items, test reliability using Cronbach Alpha, and test hypotheses using multiple linear regression. The research results show that the work stress variable has no effect on organizational commitment, the career development variable has a positive and significant effect on organizational commitment, and the personality variable has a positive and significant effect on organizational commitment.

Using heart rate data from wrist worn activity trackers to define thresholds for moderate to vigorous physical activity in children and young people with cystic fibrosis

BackgroundChildren and young people with cystic fibrosis (CYPwCF) are encouraged to do an average of 60 min of moderate-to-vigorous physical activity (MVPA) daily. However, there are no agreed heart rate (HR) thresholds for defining MVPA, so it is difficult to ascertain whether these targets are actually achieved. Wearable activity trackers enable continuous monitoring of fitness-related measures such as HR and could be used to measure duration and intensity of habitual MVPA. We aimed to define personalized and responsive MVPA thresholds from HR in CYPwCF, to determine habitual time spent in MVPA during childhood and adolescence. MethodsContinuous daily HR data were collected from 142 CYPwCF wearing activity trackers over 16 months. Linear mixed-effects models were used to develop personalised estimates of resting heart rate (RHR), peak heart rate (PHR) and MVPA thresholds, which were defined using the American College of Sports Medicine heart rate reserve (HRR) method. Results309,926 days of physical activity data showed that both RHR and PHR declined with age in CYPwCF, with considerable variability within and between individuals. The HRR method produced personalised MVPA thresholds for each CYPwCF based on age, which inherently accounted for individual demographic variability and personal factors such as cardiovascular fitness or disease severity. ConclusionsBy accounting for within and between person variability in RHR and PHR, our novel method provides more accurate age-related personalised MVPA thresholds for CYPwCF than existing estimates. Our findings provide population-based estimates for RHR, PHR and MVPA thresholds at different ages in CYPwCF. This approach may help guide development of international standards for objective MVPA measurement in the era of remote HR and activity monitoring and facilitate accurate measurement of habitual physical activity in children and young people.

Knowledge of emergency nurses and related factors toward geriatric: a cross-sectional study

Background: This study aimed to evaluate the geriatric knowledge of emergency nurses and related factors. Materials and methods: This cross-sectional study was conducted on nursing students at Guilan University of Medical Sciences in Iran. The objective was to assess the geriatric knowledge of nurses working in the emergency departments of educational and therapeutic centers in Rasht City. The sample was selected through a census sampling method, including all nurses employed in these departments. Data collection was carried out using a three-part questionnaire, which included sections on ‘personal and occupational characteristics’ and the ‘Questionnaire of Awareness about the Facts of Aging (FAQ)’. Results: A total of 190 emergency department nurses participated in this study. The mean age of the participants was 34.41 years (SD=6.37). The mean score for geriatric knowledge among the nurses was 6.58 (SD=2.24). No statistically significant associations were found between geriatric knowledge and the personal or occupational variables of the nurses. Also, the results showed that changes in nurses’ geriatric knowledge are explained to a small extent through personal and occupational characteristics. Conclusion: Overall, these results highlight the urgent need for targeted interventions to improve emergency nurses’ understanding of geriatric care. Furthermore, given the lack of significant correlations with demographic and occupational variables, future research should investigate additional factors that may influence emergency nurses’ knowledge in this area.

The influence of drinking consequences on alcohol expectancy likelihoods and valences: an item-level multi-level approach.

Alcohol expectancy theory proposes that beliefs about drinking motivate or deter drinking. Although expectancies influence drinking, less is known about how the consequences of drinking influence expectancies. We modeled a feedback conceptualization of how the experience of specific consequences influenced people's beliefs about how likely a consequence will occur (i.e., likelihoods) and how positive the consequence will be (i.e., valences). We re-analyzed cross-sectional data from college drinkers (n = 504), using Bayesian cross-classified multilevel ordinal regressions to estimate associations between consequences, likelihoods, and valences. We performed a preregistered replication in new data (n = 362). Participants had higher likelihoods (95% CIStudy 1 = [2.06, 2.43], 95% CIStudy 2 = [1.75, 2.12]) and valences (95% CIStudy 1 = [0.28, 0.52], 95% CIStudy 2 = [0.33, 0.60]) when they had experienced consequences more often, but these associations leveled off at higher consequence frequencies. Participants also believed consequences to be more likely when they viewed them as more positive, and vice versa, and again, these associations leveled off at higher levels of the predictor. Critically, the strength of these associations varied across both people and consequences. Experiencing specific consequences more often was related to people judging them to be more likely and more positive in the future, aligning with alcohol expectancy theory. This may lead to experiencing negative consequences repeatedly because people are not being demotivated from drinking in the same fashion. Given the person and consequence level variability, clinicians should consider an individualized approach when targeting drinking consequences.

Psychosocial Factors Influencing Voting Behavior

This study delves into the voting behaviour in the context of Indian electorate, shedding light on understanding it in the relatively new dimension, where the focus is primarily on psychological factors and social factors (demography) influencing the voting behaviour, which further sheds light on understanding the broader issues, like low voter turnout in India compared to other democracies worldwide, understanding of opinion polls and exit surveys and other evolving unethical Influences which are centred around mental process of voters cognition, which could create a new dimension of understanding the need for neuro rights of the voters, where the motive of free and fair elections can be achieved. This pioneering attempt to comprehend the psycho - social factors influencing voting behaviour in the Indian electoral system is groundbreaking as it has never been attempted before. In an election scenario, voters are exposed to a myriad of stimuli related to political candidates, parties, promises, and discussions, prompting selective exposure, perception, and integration processes to form the basis for their voting decisions. The study also draws on the voter turnout theory, highlighting the role of social reference groups and their impact on voter behaviour. Furthermore, it emphasizes the under explored domain of psychological and social factors in explaining political attitudes and voting behaviour among the mass public from relative unexplored dimensions, asserting that psychological traits directly influence the voting behaviour. With the Indian electoral system becoming increasingly dynamic due to diverse societal participation and steadily growing influential factors the need for study arises strongly, This research attempt is being carried forward by examining personality through the DISC personality assessment tool and quantifying the voting behaviour through the theory of planned behaviour questionnaire, the study seeks to discern the connections between demographic variables, personality traits and voting behaviour (intention). The components of voting behaviour were formed on the pivotals of theory of planned behaviour (TBH) such as behaviour beliefs, control beliefs and normative beliefs which more precisely create assessment area of voting behaviour intention. The study employs questionnaire with a five - point Likert scale to measure respondents' agreement with statements related to voting behaviour. The research's objectives include exploring the influence of a voter's personality and demographic variables on their voting behaviour and the influence of specific personality types on various facets of voting behaviour. The study's hypotheses posit that voting behaviour is influenced by psycho - social factors, particularly personality and demographic variables, and that different personality types may alternatively influence the voting behaviour intention. In conclusion, this study aims to elevate our comprehension of this context to a higher standard.

An Eye on the Future: Student Plans for Higher Education in Qatar

Education is identified as very critical to the achievement of the goals that were specified as strategic to Qatar’s socio-economic progress and development. At the core of the country’s policy plans is the need to develop human capacity as is highlighted in the Qatar National Vision (QNV) 2030. Not surprisingly, education has been identified as a strategic key to achieving the goals outlined in the QNV 2030. The present exploratory study employed a quantitative research design in order to investigate the factors that are likely to influence the educational aspirations of Qatari students. Drawing on Social Cognitive Theory (SCT) and Attribution Theory (AT), this study sought to examine students’ aspirations for post-secondary education in Qatar. Data for this study were collected using the Qatar Education Study (QES) survey, which is a nationally representative survey involving K-12 students in the State of Qatar. The analysis of this study’s data revealed that personal and household characteristics play an important role in shaping post-secondary educational aspirations of student participants, including age, nationality, education and employment status, as well as parental influence. Based on the study’s results, statistically significant associations were observed between personal and household variables and students’ aspirations for higher education. This study concludes with relevant recommendations and proposes future studies to explore the potential impact of individual aptitude and contextual factors on student future academic plans.

Outcomes after Traumatic Brain Injury with and Without Computed Tomography.

Our recent improved understanding of traumatic brain injury (TBI) comes largely from cohort studies of TBI patients with indication for computed tomography (CT). Using CT head as an inclusion criterion may overestimate poor outcomes after TBI with Glasgow Coma Scale (GCS) 13-15. We aimed to compare outcomes after TBI in adults who had a head CT scan (with negative findings) versus those who had no CT when presenting to an emergency department. This was a secondary analysis of a trial that recruited adults with GCS = 13-15 after TBI in Vancouver, Canada. We included 493 participants (18-69 years, 54% female), after removing n = 19 with traumatic abnormalities on CT (intracranial and/or skull fracture). Outcomes were Glasgow Outcome Scale Extended (GOSE), Rivermead Post-Concussion Symptoms Questionnaire (RPQ), Patient Health Questionnaire (PHQ)-9, and generalized anxiety disorder (GAD)-7 at 6 months post-injury. Over half (55%) of participants received a CT. At 6 months, 55% of participants with CT and 49% without CT had functional limitations on GOSE; 32% with CT and 33% without CT reported severe post-concussion symptoms (RPQ ≥16); 26% (with CT) and 28% (without CT) screened positive for depression (PHQ-9 ≥ 10), and 25% (with CT) and 28% (without CT) screened positive for anxiety (GAD-7 ≥ 8). In regression adjusted for personal variables, participants with CT had somewhat higher odds of worse functioning (ordinal GOSE; 1.4, 95% CI 1.0-2.0) but similar odds of severe post-concussion symptoms (1.1, 95% CI: 0.7-1.7), and depression (1.1, 95% CI: 0.7-1.7) and anxiety (1.0, 95% CI: 0.6-1.5) symptoms. Adults with and without head CT have mostly comparable outcomes from TBI with GCS = 13-15. Requiring CT by clinical indication for study entry may not create problematic selection bias for outcome research.

Personality changes during adolescence predict young adult psychosis proneness and mediate gene-environment interplays of schizophrenia risk.

Psychotic symptoms in adolescence are associated with social adversity and genetic risk for schizophrenia. This gene-environment interplay may be mediated by personality, which also develops during adolescence. We hypothesized that (i) personality development predicts later Psychosis Proneness Signs (PPS), and (ii) personality traits mediate the association between genetic risk for schizophrenia, social adversities, and psychosis. A total of 784 individuals were selected within the IMAGEN cohort (Discovery Sample-DS: 526; Validation Sample-VS: 258); personality was assessed at baseline (13-15 years), follow-up-1 (FU1, 16-17 years), and FU2 (18-20 years). Latent growth curve models served to compute coefficients of individual change across 14 personality variables. A support vector machine algorithm employed these coefficients to predict PPS at FU3 (21-24 years). We computed mediation analyses, including personality-based predictions and self-reported bullying victimization as serial mediators along the pathway between polygenic risk score (PRS) for schizophrenia and FU3 PPS. We replicated the main findings also on 1132 adolescents recruited within the TRAILS cohort. Growth scores in neuroticism and openness predicted PPS with 65.6% balanced accuracy in the DS, and 69.5% in the VS Mediations revealed a significant positive direct effect of PRS on PPS (confidence interval [CI] 0.01-0.15), and an indirect effect, serially mediated by personality-based predictions and victimization (CI 0.006-0.01), replicated in the TRAILS cohort (CI 0.0004-0.004). Adolescent personality changes may predate future experiences associated with psychosis susceptibility. PPS personality-based predictions mediate the relationship between PRS and victimization toward adult PPS, suggesting that gene-environment correlations proposed for psychosis are partly mediated by personality.

Personal Bankruptcy Prediction Using Logistic Regression Model

According to the Insolvency Department of Malaysia, as of December 2023, 233,483 Malaysians are currently involved in bankruptcy cases due to their defaults on hire purchase loans, credit card loans, personal loans, housing loans, and business loans. This is indeed a critical issue because the growing number of personal bankruptcy cases will hurt the Malaysian economy as well as society. From an individual's economic perspective, bankruptcy minimizes their chances of getting a job. Apart from that, their accounts will be frozen, they will lose control of their properties and assets, and they will not be allowed to start any business or be a part of any company's Board of Directors. Bankrupts also will be rejected from any loan application. This paper examines this problem by developing a personal bankruptcy prediction model using the logistic regression technique. This paper defines "bankrupt" as terminated members who failed to settle their loans. The sample comprised 24,546 cases with 17% settled cases and 83% terminated cases. The data included a dependent variable, i.e., bankruptcy status (Y=1(bankrupt), Y=0(non-bankrupt)), and 12 predictors. Upon completion, this paper succeeds in coming out with a reliable personal bankruptcy prediction model and significant variables of personal bankruptcy. The findings of this paper are very beneficial and significant to creditors, banks, the Malaysia Department of Insolvency, potential borrowers, members of AKPK, and society in general in raising awareness of personal bankruptcy risks and such information may help them to take preventive measures in minimizing the number of personal bankruptcy cases.

Language Dominance and Cultural Identity Predict Variation in Self-Reported Personality in English and Spanish Among Hispanic/Latino Bilingual Adults

Language is a fundamental aspect of human culture that influences cognitive and perceptual processes. Prior evidence demonstrates personality self-report can vary across multilingual persons’ language contexts. We assessed how cultural identification, language dominance, or both dynamically influence bilingual respondents’ self-conception, via self-reported personality, across English and Spanish contexts. During separate English and Spanish conditions, 133 Hispanic/Latino bilingual participants (70 female) completed the Big Five Inventory of personality. We used language use and acculturation surveys completed in both languages to calculate participants’ relative language dominance and identification with U.S.-American and Hispanic culture. Participants reported higher levels of agreeableness, conscientiousness, and neuroticism in English relative to Spanish. Language dominance predicted cross-language differences in personality report, with higher extraversion reported in participants’ dominant language. Within each language, greater endorsement of U.S.-American identity was associated with higher extraversion and conscientiousness and lower reported neuroticism. Agreeableness report in both languages was positively predicted by Hispanic identification. Our results clarify existing literature related to language and cultural effects on personality report among U.S. Hispanics/Latinos. These findings could inform assessments of self-relevant cognitions across languages among bilingual populations and hold relevance for health outcomes affected by cultural processes.

Emergency nurses' attitude and related factors toward geriatric: A cross-sectional study

Aging and the consequent disabilities are major concerns in contemporary society. The last century has witnessed a significant increase in the elderly population, particularly in developing countries, thereby heightening the need to address the issues this demographic faces. Understanding nurses' attitudes towards geriatric and the factors influencing these attitudes is crucial for predicting and, if necessary, modifying the behavior of emergency department nurses. This study aims to determine the emergency nurses' attitudes and related factors toward geriatric. This cross-sectional analytical study targeted nurses working in the emergency departments of medical training centers in Rasht. A total of 190 nurses were selected using the census sampling method. Data collection involved a two-part questionnaire: one section capturing demographic characteristics and the other utilizing Kogan’s Attitudes Toward Old People scale. The study revealed that the average age of the nurses was 34.41 (standard deviation [SD]=6.37) years. Among the 190 nurses, 171 (90.0%) were women, 105 (70.0%) were married, and 178 (93.7%) held bachelor's degrees. The average length of professional experience among participants was 8.87 (SD=5.24) years, with 7.24 (SD=4.31) years spent in emergency departments. The mean attitude score towards geriatric was 136.24 (SD=10.47), indicating a generally unfavorable attitude. Supervisors exhibited a significantly more positive attitude toward geriatric than regular nurses (P=0.035). No statistically significant relationship was found between the nurses' attitudes and their personal or occupational variables (P<0.05). The findings indicate that nurses generally hold unfavorable attitudes toward geriatric. Given the critical importance of providing high-quality care to this population, developing strategies to improve nurses’ attitudes towards geriatrics is imperative.

Who flourishes in school? The interplay of academic self-concept and personality and its role for academic performance in middle adolescence.

Why are some students more successful than others? We combined motivational and personality predictors and jointly examined the relevance of subject-specific academic self-concepts and Big Five personality traits for academic performance. Based on data from two independent studies of German 9th graders (Study 1: N = 1,508, Mage = 14.98 years, 51% female, 38% immigrant background; Study 2: N = 19,783, Mage = 15.10 years, 50% female, 36% immigrant background), we, first, estimated latent bivariate correlations to investigate the nomological net between these socioemotional characteristics. Second, using latent moderated regression models, we examined the role of the main and interaction effects of both characteristics for academic performance levels and changes assessed by grades and test scores. Finally, we tested whether the relevance of socioemotional characteristics for academic performance differed across sociodemographic characteristics. Five findings stand out: First, we established widely consistent nomological nets between the academic self-concepts and Big Five traits, especially regarding the German self-concept. Second, the domain-specific self-concepts were consistent predictors of different academic performance measures in the respective subject. Third, beyond the established main effects of openness and conscientiousness, all Big Five traits contributed to performance in some way. Fourth, despite some inconsistencies, socioemotional characteristics formed only synergistic interaction effects. Fifth, students' sociodemographic background was likewise important illustrating main effects on performance and foremost synergistic interaction effects with socioemotional predictors. Our results highlight the complex interplay between motivation, personality, and sociodemographic variables in predicting academic achievement and underline the need to be mindful of this interactive nature. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Assessment of Student Quality of Life in Relation to University Campus

Background: There exists a scarcity of comprehensive studies on educational campuses, which integrate the effects of built environment satisfaction, university life experiences, and personal characteristics on QoL. The study’s main research problem is to investigate the extent, direction, and sequence of the influence of university life satisfaction (encompassing academic, social, and administrative perception)—as well as the university’s built environment of university (including both indoor and outdoor attributes of educational, social, recreational, and residential settings), in conjunction with student characteristics—on students’ QoL and the interactions among these factors. Aim: The main objective is to comprehensively analyze the impact and dominance of the built environment and various dimensions of university life, in addition to personal variables on student QoL, and explore the interaction between them. The sub-aims are to determine the dimensions that have the greatest effect on QoL and to make comparisons between them. Methodology: In line with the aim, a specific index for measuring student QoL on a university campus was developed, and a survey was conducted using a questionnaire developed based on the index. The case study is made in Bursa Uludag University, one of the oldest universities in Bursa, Turkey, which is known for being included in the UNESCO World Heritage List. Data were recorded and analyzed by utilizing statistical analyses via SPSS (statistical package for social sciences) for Windows 22 and IBM AMOS 24.0 programs. Results: The data collected from the evaluation of questionnaires administered to 685 participants reveal that the sub-dimensions with the most-to-least impact on students’ QoL are satisfaction with campus life, education spaces, academic development, socio-physical amenities, social perception, administrative management, accessibility, transportation, and accommodation. Conclusions: QoL is a multidimensional judgment through which university students’ QOL perceptions are affected through the interaction between the university’s built environment, university life, individual characteristics, as well as administrative management.

Scientific Traditions as a Mechanism of Continuity of Psychological Cognition. Part 2. Problems, Approaches and Prospects for Research

The authors’ main attention is focused on current problems of studying continuity and scientific traditions in psychology. Special attention is paid to the characteristics of promising directions for studying the traditions of domestic psychological science: taking into account when studying the traditions of scientific developments on the generation of knowledge, primarily tacit; analysis of the role of individual personal variables, including ideological guidelines, cognitive attitudes, life values, features of the professional development of the researcher himself in the process of selection of knowledge acquiring the status of tradition; study of traditions as the foundations and distinctive features of scientific schools in psychology. A model for studying scientific traditions in psychology is proposed, based on ideas about three aspects of the existence of science (knowledge, social institution, cognitive activity) and different views on the understanding of the term “tradition” (according to E. Shatsky) — functional, objective and subjective. It is concluded that the preservation and development of scientific traditions is the responsibility of not only the scientific community as a whole, but also personally of each researcher involved in scientific creativity in the field of psychology.

What makes future teachers successful? A longitudinal study on pre-service teachers

ABSTRACT This study aims to examine pre-service teachers’ academic success longitudinally. We studied in 537 pre-service students how three criteria of success (achievement, intention to persistent and actual retention) could be predicted by demographic, cognitive, personality, and motivational variables. Applying structural equation modelling, we found distinct patterns in the predictive power of the variables across the criteria. About one fourth of the variance in achievement could be explained by verbal ability and conscientiousness. Intention to persist was weakly intercorrelated with actual retention; the criteria also showed distinct prediction patterns. Intention to persist could be explained by only one predictor. Intrinsic motivation accounted for almost half of the variance in the criterion. The included predictors were less powerful in the prediction of actual retention: age, verbal ability and intrinsic motivation together accounted for about ten percent of the variance. The results underscore the complex and multifaceted nature of pre-service teachers’ academic success.

Accurate and 30-plus days reliable cuffless blood pressure measurements with 9-minutes personal photoplethysmograph data and mixed deduction learning

Cuffless blood pressure (BP) measurements have long been anticipated, and the PPG (Photoplethysmography)-only method is the most promising one since already embedded in many wearable devices. To further meet the clinical accuracy requirements, PPG-only BP predictions with personalized modeling for overcoming personal deviations have been widely studied, but all required tens to hundreds of minutes of personal PPG measurements for training. Moreover, their accurate test periods without calibration practice were not reported. In this work, we collected records of PPG data from our recruited subjects in real-life scenarios instead of relying on the openly available MIMIC dataset obtained from intensive care unit (ICU) patients. Since our objective is commercial application and a substantial reduction in training data, we tailored our model training to closely mimic real-world usage. To achieve this, we developed a training approach that only requires 9-minutes of personal PPG signal recordings and mixed with other PPG data from our recruited 364 subjects. The modeling is conducted with two-channel paired inputs to the convolutional neural network (CNN)-based model, which we called Mixed Deduction Learning (MDL). The test results of 88 samples from 15 subjects, under testing period up to 30-plus days without extra calibration, revealed that MDL meets most of the standards of AAMI, BHS, and IEEE 1708–2014 (for static test only) for BP measurement devices, which indicates MDL’s long-term stability and consistency. Furthermore, we found that the model with two-channel inputs presents a trend of improving performance as the pool of mixed training data increased, while the conventional one-channel input revealed degraded performance. The outperformance of MDL is attributed to many significant features remained in the first CNN layer even when mixing personal 9-minutes data with the other 364 subjects. Consequently, PPG-only with MDL introduces a new avenue for overcoming challenges in training due to personal physiological variations. Given our consideration of real-life usage, this technology can be seamlessly translated to commercial applications.

Анализ взаимосвязей предикторов академической успеваемости школьников методом сетевого моделирования

<p>The problem of studying the factors influencing students’ academic achievement does not lose its relevance in modern psychological and pedagogical science. Such interest arises due to current development of ideas about education as a way of developing human capital, increasing well-being and quality of life of people in modern society. The academic achievement of schoolchildren is largely determined by non-cognitive factors, including personality characteristics, motivational indicators and the development of self-regulation. The present work aims to analyze the relationships between non-cognitive predictors of academic achievement of middle and high school students using the network modeling method. Primary data was obtained using the following methods: V.I. Morosanova’s “The Self-Regulation Profile of Learning Activity Questionnaire (SRPLAQ)”, “Academic Motivation Scale - School (AMS-S)”, “Attitude towards learning in middle and high school”, “Big Five Questionnaire — Children version, BFQ-C”. The average score in Russian language and mathematics was used as an indicator of academic achievement. The sample consisted of 307 secondary school students (37.1% boys, age: 10-18 years). The statistical analysis included calculation of descriptive statistics for 28 indicators, and analyses of partial correlation networks, describing the relationships between regulatory and personality variables, as well as the academic achievement of students in grades 5-6, 7-9 and 10-11. The results revealed significant relationships between variables regardless of the period of education, and differences in the structure of partial correlation networks in grades 5-6, 7-8 and 9-11. It was found that the nature of the relationships between non-cognitive predictors and academic achievement varies depending on the period of study. The result showed that the achievement of students in grades 5-6 is significantly and directly correlated to the indicator of openness to new experience, while in grades 7-9 a direct correlation is also found with the general level of attitude towards learning, and in grades 10-11 - with cognitive motivation, neuroticism and conscious self-regulation. The results confirm the known relationships, and also reveal new ones that were not previously discovered in existing research: for example, a negative relationship between academic performance and cognitive motivation. The article concludes with directions for further research of moderator-mediator interactions between non-cognitive variables in their impact on students’ academic achievement.</p>

Stability of subjective well-being during the economic crisis: A four-wave latent transition analysis in a national sample of Poles.

This study aimed to examine profiles of subjective well-being (SWB) and their stability during the economic hardships associated with the long-term impact of the COVID-19 pandemic and the Russian invasion of Ukraine. Selected sociodemographic, personality, and context-related variables were tested as covariates. Data were collected from 1755 participants (mean age 45.75 ± 15.99 years) in a nationwide panel over four waves (from November 2022 to June 2023; 34.3% dropout rate). SWB was measured using the Satisfaction with Life Scale and the Positive and Negative Affect Schedule, while personality traits were assessed with the Ten-Item Personality Inventory. Latent profile and transition analyses identified four SWB profiles (ambivalent, average, low, high) that remained stable over 8 months despite a significant drop in the inflation rate. Subjectively evaluated financial situation and the perceived impact of inflation on the household were significant covariates of profile membership, even after controlling for personality traits. The results of this study support the set-point theory of SWB and suggest that SWB is stable under socially shared circumstances of economic hardships, which may be attributed to both individual-level and country-level processes.

Nocebo Effect on Pain Perception and Attention with Children With and Without Attention Deficit And/Or Hyperactivity Disorder.

Attention deficit disorder with or without hyperactivity (ADHD) has negative consequences for children. The effectiveness of medical interventions and educational outcomes are strongly influenced by expectations, which can be modulated by nocebo effects. The aims of this study were to compare the nocebo effect on pain perception and attention in children with and without ADHD as well as to characterize the associations of the nocebo effect with personal variables, such as anxiety, sleep, and pain catastrophizing. Data were collected from 30 children with and without ADHD. The nocebo effect was induced using an inactive pill, "increasing" pain perception and attention deficits. Experimental thermal pain was evoked using a thermode and recorded using a computerized visual analog scale. Attention abilities were measured with the Stop-Signal Task. We also used questionnaires to measure personal variables. When combining groups, the nocebo treatment led to comparable nocebo effects for pain (increased pain perception) and attention (increased time needed for inhibition). When comparing groups, the nocebo effect on pain perception was similar for children with and without ADHD. Inattention, learning problems, anxiety, and sleep problems were associated with the nocebo response for pain and attention. This exploratory study conducted in an experimental setting emphasizes the importance of managing children's expectations for pain perception and attention as well as the potentially deleterious impact of negative suggestions on elementary school children.