Influence analysis for the factor analysis model with ranking data

Influence analysis is an important component of data analysis, and the local influence approach has been widely applied to many statistical models to identify influential observations and assess minor model perturbations since the pioneering work of Cook (1986) . The approach is often adopted to develop influence analysis procedures for factor analysis models with ranking data. However, as this well‐known approach is based on the observed data likelihood, which involves multidimensional integrals, directly applying it to develop influence analysis procedures for the factor analysis models with ranking data is difficult. To address this difficulty, a Monte Carlo expectation and maximization algorithm (MCEM) is used to obtain the maximum‐likelihood estimate of the model parameters, and measures for influence analysis on the basis of the conditional expectation of the complete data log likelihood at the E‐step of the MCEM algorithm are then obtained. Very little additional computation is needed to compute the influence measures, because it is possible to make use of the by‐products of the estimation procedure. Influence measures that are based on several typical perturbation schemes are discussed in detail, and the proposed method is illustrated with two real examples and an artificial example.     

Adverse caregiving in early life: The trauma and deprivation distinction in young children

Knowledge and understanding about the impact of cumulative adverse experiences on the health and wellbeing of children, adolescents, and adults has rapidly expanded over the past 30 years. Despite the invaluable attention and support this proliferation has drawn to the importance of early childhood experiences, we believe that it is time to move beyond broad indices of risk and toward more specific and individualized understanding of how risk exposures are linked to clinical outcomes in young children. Within infant and early childhood mental health, there is a need for greater specificity in linking adverse caregiving experiences in early life to psychopathology in children. We highlight a framework distinguishing experiences of trauma from experiences of deprivation and use the examples of posttraumatic stress disorder and reactive attachment disorder to demonstrate how greater specificity in our understanding of early adverse caregiving can lead to more accurate and targeted diagnosis and treatment for young children. Both researchers and clinicians benefit from an approach to gain a greater appreciation of the links between specific types of experiences and outcomes in the children that we serve.     

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.     

Unfounded beliefs among teachers: The interactive role of rationality priming and cognitive ability

Previous research suggests that unfounded beliefs (UB)—such as conspiracist beliefs and beliefs in the supernatural—stem from similar cognitive and motivational mechanisms. More specifically, it has been demonstrated that cognitive ability is negatively associated with UB but only among individuals who value epistemic rationality. The present study goes beyond previous correlational studies by examining whether the negative association between cognitive ability and UB can be strengthened through a subtle rationality prime. In a large scale online experiment (N = 762 French teachers), we demonstrate that priming rationality (vs. control) does enhance the negative relationship between cognitive ability and adherence to supernatural beliefs, as well as conspiracy mentality (d = 0.2). This effect was not obtained for illusory pattern perception. This study's usefulness as a “proof of concept” for future interventions aimed at reducing UB prevalence among the general public is discussed.     

Liberal–conservative dimension of moral concerns underlying political faction formation in Taiwan

Moral foundations theory provides a framework for understanding the traditional liberal–conservative dichotomy in political factions. Typically, factions on the liberal side are more concerned with individualizing foundations—including care/harm and fairness/cheating—for the protection of individual rights and welfare whereas factions on the conservative side are concerned with both individualizing and binding foundations—including loyalty/betrayal, authority/subversion, and sanctity/degradation—for the maintenance of existing social ethics. Our research extended this framework to the analysis of Taiwanese political factions, which are not distributed conspicuously along the liberal–conservative line but instead on whether Taiwan should become a legally independent state or unify with the People's Republic of China (Mainland China). Our results indicate that despite the scarce use of the terms liberal or left and conservative or right in common communication, a liberal–conservative dimension underlies the Taiwanese political spectrum. Specifically, supporters of Taiwan independence exhibit liberal‐like moral concerns whereas supporters of China unification and the status quo demonstrate conservative‐like moral concerns. Moreover, indirect effects exist through moral foundations from political factions to stances on social issues; this is especially prevalent in the case of Taiwan independence camp's clear support for the legalization of same‐sex marriage, a stance resulting from anti‐authoritarian moral and political characteristics.     

Forward inference in risky choice: Mapping gaze and decision processes

The study of cognitive processes is built on a close mapping between three components: overt gaze behavior, overt choice, and covert processes. To validate this overt–covert mapping in the domain of decision‐making, we collected eye‐movement data during decisions between risky gamble problems. Applying a forward inference paradigm, participants were instructed to use specific decision strategies to solve those gamble problems (maximizing expected values or applying different choice heuristics) during which gaze behavior was recorded. We revealed differences between overt behavior, as indicated by eye movements, and covert decision processes, instructed by the experimenter. However, our results show that the overt–covert mapping is for some eye‐movement measures not as close as expected by current decision theory, and hence question reverse inference as being prone to fallacies due to a violation of its prerequisite, that is, a close overt–covert mapping. We propose a framework to rehabilitate reverse inference.     

Further evaluation of treatments for vocal stereotypy: Response interruption and redirection and response cost

The purpose of this study was to expand on research on treatments for stereotypy by evaluating the effects of response interruption and redirection (RIRD) and response cost (RC) alone and as a treatment package on vocal stereotypy. Treatment phases included RIRD, RC, and response interruption and redirection plus response cost (RIRD + RC). The efficacy of these treatments was determined by measuring duration of stereotypy in session and during treatment intervals. Vocal stereotypy decreased in all three treatment conditions; however, when data analysis included stereotypy occurring during treatment intervals, stereotypy during the RC condition occurred at similar levels as baseline for one treatment evaluation phase for Karl and both treatment evaluations phases for Jon. We discuss implications of these findings, limitations of the current study, and areas for future research.