Effects of containment and closure policies on controlling the COVID‐19 pandemic in East Asia

Growing efforts have been made to pool coronavirus data and control measures from countries and regions to compare the effectiveness of government policies. We examine whether these strategies can explain East Asia’s effective control of the COVID‐19 pandemic based on time‐series data with cross‐correlations between the Stringency Index and number of confirmed cases during the early period of outbreaks. We suggest that multidisciplinary empirical research in healthcare and social sciences, personality, and social psychology is needed for a clear understanding of how cultural values, social norms, and individual predispositions interact with policy to affect life‐saving behavioural changes in different societies.     

EDITORIAL Building bridges with mixed methods research?

Mixed methods refers to the use of both qualitative and quantitative approaches and methods in one study or sequentially in two or more studies. Without a mixed methods approach there is – to our minds ‐ a risk that only part of a phenomenon or experience is being explored. Our own involvement in mixed methods research has grown out of a shared interest in the concept ‘research‐practitioner’. Psychotherapy is a notoriously complex and ever‐developing field, and our growing sense has been that mixed methods research can contribute to a more complete – both broad and deep ‐ sense of knowledge and understanding.     

Memory Interventions for Persons with Dementia

It is possible to design effective, pragmatically useful memory interventions for persons with Dementia of the Alzheimer's Type (DAT). A review of successful memory interventions for such populations is presented. A particularly effective intervention technique, spaced-retrieval, is described and the theoretical basis for its effectiveness is discussed. A detailed account is presented of a spaced-retrieval intervention in which persons with DAT are trained to learn and utilize a strategy, i.e., remembering to use a calendar listing daily activities. Directions for future research in this area are offered.     

Aggressive Children and Effective Communication

Testing a component of a theoretical model which postulates that low levels of communication effectiveness accompany the social and affective problems presented by aggressive children, the study compared the communication skills of a group of aggressive (n = 49) and nonaggressive (n = 49) elementary school children (selected on the basis of teacher ratings) in a structured and cooperative communication task. Based on direct observational measures of communication effectiveness and aggression, and on teacher, peer, and self-rating measures of peer rejection and depressive symptoms, results showed that (a) aggressive children exhibited less effective communication skills and more disruptive communication skills than nonaggressive peers; (b) aggressive children experienced higher levels of peer rejection and depressive symptoms than nonaggressive peers; and (c) group differences in communication effectiveness could not be accounted for by differences in observed aggression and remained significant, even after controlling for differences in peer status and affective functioning. These findings highlight the role that ineffective communication may play in the development and maintenance of aggression and have important theoretical and applied implications, which are briefly discussed. © 1994 Wiley-Liss, Inc.     

Applying the self-determination theory continuum to unhealthy eating: Consequences on well-being and behavioral frequency

The present research applies self-determination theory (SDT) to the context of unhealthy eating. The extent to which each of the six types of motivations stemming from the SDT continuum applies to unhealthy eating is examined, as well as the contribution of each motivation for eating unhealthily in predicting psychological well-being and frequency of unhealthy eating. A three-wave longitudinal study (N = 379) was conducted before, during, and after the Christmas holidays. Results demonstrated that three types of motivations (i.e., identified, introjected, and external regulation) for unhealthy eating fluctuated over time and peaked during the holidays, a time when unhealthy eating becomes especially salient in Western societies. However, amotivation for unhealthy eating reached its lowest level during the holidays. While identified regulation was associated with greater well-being, introjected regulation, and amotivation for unhealthy eating were linked with lower well-being. Integrated regulation was associated with lower well-being only before and after the holiday period. Finally, the integrated, introjected, external regulations, and amotivation were linked to higher frequency of unhealthy eating. These results confirm that each type of motivation presents distinct patterns of associations with well-being and actual behavior. Results also demonstrate that the social context in which eating takes place can have an impact on the relationship between motivations and well-being as well as behavior.     

Examining the item response process to personality measures in high-stakes situations: Issues of measurement validity and predictive validity

We conducted two experimental studies with between-subjects and within-subjects designs to investigate the item response process for personality measures administered in high- versus low-stakes situations. Apart from assessing measurement validity of the item response process, we examined predictive validity; that is, whether or not different response models entail differential selection outcomes. We found that ideal point response models fit slightly better than dominance response models across high- versus low-stakes situations in both studies. Additionally, fitting ideal point models to the data led to fewer items displaying differential item functioning compared to fitting dominance models. We also identified several items that functioned as intermediate items in both the faking and honest conditions when ideal point models were fitted, suggesting that ideal point model is “theoretically” more suitable across these contexts for personality inventories. However, the use of different response models (dominance vs. ideal point) did not have any substantial impact on the validity of personality measures in high-stakes situations, or the effectiveness of selection decisions such as mean performance or percent of fakers selected. These findings are significant in that although prior research supports the importance and use of ideal point models for measuring personality, we find that in the case of personality faking, though ideal point models seem to have slightly better measurement validity, the use of dominance models may be adequate with no loss to predictive validity.     

Epistemic injustice in mathematics

We investigate how epistemic injustice can manifest itself in mathematical practices. We do this as both a social epistemological and virtue-theoretic investigation of mathematical practices. We delineate the concept both positively—we show that a certain type of folk theorem can be a source of epistemic injustice in mathematics—and negatively by exploring cases where the obstacles to participation in a mathematical practice do not amount to epistemic injustice. Having explored what epistemic injustice in mathematics can amount to, we use the concept to highlight a potential danger of intellectual enculturation.

     

The typology of parricide and the role of mental illness: Data-driven approach

Parricide is a rare type of homicide in which mental illness is often an important factor. The aims of this study were (a) to describe the characteristics of parricide offenders with a focus on mental illness and clinical care and (b) to examine Heide's widely used typology of parricide through a data-driven approach. We analyzed all homicides in England and Wales between 1997 and 2014. Parricide offenders in our sample were most often male, unmarried, and unemployed, with a third of offenders diagnosed with schizophrenia; 28% had been in contact with mental health services before the offense. The latent class analysis resulted in three types of parricide offenders: middle-aged with affective disorder, previously abused, and seriously mentally Ill, which confirmed, to an extent, Heide's typology. Health and social care services should actively engage with carers of people with mental illness and support to those caring for older relatives and victims of abuse.     

Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining

In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such approaches. We seek to address this issue by focusing on social media text data and (i) conducting a review of psychometric validation efforts in social media text mining (SMTM) for personality assessment and discussing additional work that needs to be done; (ii) considering additional validity issues from the standpoint of reference (i.e. ‘ground truth’) and causality (i.e. how personality determines variations in scores derived from SMTM); and (iii) discussing the unique issues of generalizability when validating SMTM for personality assessment across different social media platforms and populations. In doing so, we explicate the key validity and validation issues that need to be considered as a field to advance SMTM for personality assessment, and, more generally, machine learning personality assessment methods. © 2020 European Association of Personality Psychology