Mediation Analysis In Studies Research Articles

Effect of Social Anxiety on the Adoption of Robotic Training Partner.

With the development of artificial intelligence technologies, robotic training partner is becoming a reality, which is a substitute for human training partner. Socially anxious individuals feel uncomfortable in front of unfamiliar people or when being observed by others. Playing with robotic training partners can avoid face-to-face interaction with other people. It is unclear whether social anxiety affects the adoption of robotic training partners. This study investigates the effect of social anxiety on the adoption of robotic training partners among university students. Study 1 confirmed that university students with higher social anxiety are more likely to choose robotic training partners than human training partners. Mediation analysis in Study 2 supported the mediating role of sense of relaxation with robotic training partner in the positive effect of social anxiety on the adoption of robotic training partner. This study shows that developing training partner robots is a meaningful thing for corporate profits and the health of socially anxious people.

Permutation-based methods for mediation analysis in studies with small sample sizes.

BackgroundMediation analysis can be used to evaluate the effect of an exposure on an outcome acting through an intermediate variable or mediator. For studies with small sample sizes, permutation testing may be useful in evaluating the indirect effect (i.e., the effect of exposure on the outcome through the mediator) while maintaining the appropriate type I error rate. For mediation analysis in studies with small sample sizes, existing permutation testing methods permute the residuals under the full or alternative model, but have not been evaluated under situations where covariates are included. In this article, we consider and evaluate two additional permutation approaches for testing the indirect effect in mediation analysis based on permutating the residuals under the reduced or null model which allows for the inclusion of covariates.MethodsSimulation studies were used to empirically evaluate the behavior of these two additional approaches: (1) the permutation test of the Indirect Effect under Reduced Models (IERM) and (2) the Permutation Supremum test under Reduced Models (PSRM). The performance of these methods was compared to the standard permutation approach for mediation analysis, the permutation test of the Indirect Effect under Full Models (IEFM). We evaluated the type 1 error rates and power of these methods in the presence of covariates since mediation analysis assumes no unmeasured confounders of the exposure–mediator–outcome relationships.ResultsThe proposed PSRM approach maintained type I error rates below nominal levels under all conditions, while the proposed IERM approach exhibited grossly inflated type I rates in many conditions and the standard IEFM exhibited inflated type I error rates under a small number of conditions. Power did not differ substantially between the proposed PSRM approach and the standard IEFM approach.ConclusionsThe proposed PSRM approach is recommended over the existing IEFM approach for mediation analysis in studies with small sample sizes.

Modelling the Socio-Economic Determinants of Fertility: A Mediation Analysis using the Parametric g-formula

SummaryTheories predict that the timing of childbearing and number of children born are determined by multiple socio-economic factors. Despite this, many methods cannot investigate the interrelationships between these determinants, including the direct and indirect influence that they have on fertility over the life course. Here we use the parametric g-formula to examine the interdependent influences of time-varying socio-economic processes—education, employment status and partnership status—on fertility. To demonstrate this approach, we study a cohort of women who were born in the UK in 1970. Our results show that socio-economic processes play an important role in determining fertility, not only directly but also indirectly. We show that increasing attendance in higher education has a largely direct effect on early childbearing up to age 25 years, resulting in a substantial increase in childlessness. However, childbearing at later ages is dominated by an indirect effect of education on fertility, via partnership status and employment status, that is twice as large as the direct effect. We also use the g-formula to examine bias due to unobserved heterogeneity, and we demonstrate that our results appear to be robust. We conclude that the method provides a valuable tool for mediation analysis in studies of interdependent life course processes.

Self-Compassion and Bedtime Procrastination: an Emotion Regulation Perspective

The current study extended previous research on self-compassion and health behaviours by examining the associations of self-compassion to bedtime procrastination, an important sleep-related behaviour. We hypothesized that lower negative affect and adaptive emotion regulation would explain the proposed links between self-compassion and less bedtime procrastination. Two cross-sectional online studies were conducted. Study 1 included 134 healthy individuals from the community (mean age 30.22, 77.4% female). Study 2 included 646 individuals from the community (mean age 30.74, 68.9% female) who were screened for the absence of clinical insomnia. Participants in both studies completed measures of self-compassion, positive and negative affect and bedtime procrastination. Participants in study 2 also completed a measure of cognitive reappraisal. Multiple mediation analysis in study 1 revealed the expected indirect effects of self-compassion on less bedtime procrastination through lower negative affect [b = − .09, 95% CI = (− .20, − .02), but not higher positive affect. Path analysis in study 2 replicated these findings and further demonstrated that cognitive reappraisal explained the lower negative affect linked to self-compassion [b = − .011; 95% CI = (− .025; − .003)]. The direct effect of self-compassion on less bedtime procrastination remained significant. Our novel findings provide preliminary evidence that self-compassionate people are less likely to engage in bedtime procrastination, due in part to their use of healthy emotion regulation strategies that downregulate negative mood.

Key Constructs in “Classical” and “New Wave” Cognitive Behavioral Psychotherapies: Relationships Among Each Other and With Emotional Distress

We aimed to relate key constructs from three forms of cognitive behavioral therapy that are often placed in competition: rational emotive behavior therapy, cognitive therapy, and acceptance and commitment therapy. The key constructs of the underlying theories (i.e., irrational beliefs/unconditional self-acceptance, dysfunctional cognitions, experiential avoidance/psychological inflexibility) of these therapies have not been explicitly studied in their relationships to each other and with emotional distress. We used a cross-sectional design. The variables were selected to indicate key constructs of the three major forms of therapy considered. Study 1 used a sample of 152 students, who were assessed during a stressful period of their semester (mean age = 21.71; 118 females), while Study 2 used a clinical sample of 28 patients with generalized anxiety disorder (mean age = 26.67; 26 females). Results showed that these constructs, central in the therapies considered, had medium to high associations to each other and to distress. Experiential avoidance was found to mediate the relationship between the other, schema-type cognitive constructs and emotional distress. Moreover, multiple mediation analysis in Study 2 seemed to indicate that the influence of the more general constructs on distress was mediated by experiential avoidance, whose effect seemed to be carried on further by automatic thoughts that were the most proximal to distress. Although each of the cognitive constructs considered comes with its underlying theory, the relationships between them can no longer be ignored and cognitive behavioral therapy theoretical models reliably accounting for these relationships should be proposed and tested.

Attitudes influence implicit racial face categorization in a perceptual task

Perceptual mechanisms have been proposed for the categorization of racial faces. Social cognitive mechanisms involved in the categorization of racial faces, however, remain unclear. The present study investigated whether and how attitudes influence racial face categorization by measuring reaction times to judge orientations of own-race or other-race faces. Study 1 showed that, in a task of judging orientations of Caucasian and Asian faces, European Americans responded faster to own-race (Caucasian) faces than to other-race (Asian) faces. Study 2 showed that Han Chinese responded faster to own-race (Han Chinese) faces than to other-race (Uigur Chinese) faces. In addition, we found that, in both experiments, own-race advantage in reaction times was eliminated by inducing negative attitudes toward own-race faces using a negative association priming procedure. Moreover, the mediation analysis in Study 2 showed that the priming effect was mediated by attitude bias toward own-race faces. Our findings provide evidence for categorization of racial faces in a perceptual, race-irrelevant task, which, however, is strongly modulated by attitudes toward target faces.