Longitudinal relationship between prosocial behavior and meaning in life of junior high school students: A three-wave cross-lagged study.

INTRODUCTION: Despite much cross-sectional research linking prosocial behavior and meaning in life, few studies have investigated the longitudinal relationship between these two constructs. The article examines the bidirectional longitudinal association between prosocial behavior and meaning in life among junior high school students. METHODS: A prospective design was adopted, incorporating three measurement occasions (with approximately 6-month intervals, from 2020 to 2021). Data were collected from 764 students (mean age = 12.46, SD = 0.64 years, and 51.4% girls). All participants responded to a questionnaire survey that included the Chinese Meaning in Life Questionnaire (MLQ-C) and Prosocial Tendencies Measure (PTM-C). Cross-lagged panel models were used to analyze the data. RESULTS: (1) Prosocial behavior predicted positively the presence of meaning over time and vice-versa. (2) There was no bidirectional association between the search for meaning and prosocial behavior. (3) There was no gender difference in the bidirectional relationship between meaning in life and prosocial behavior. CONCLUSIONS: These findings suggest that educators should highlight the presence of meaning in adolescent life education from a long-term perspective and encourage students to engage in more prosocial activities.

Two-level moderated mediation models with single-level data and new measures of effect sizes.

This article proposes a two-level moderated mediation (2moME) model with single level data, and develops measures to quantify the moderated mediation (moME) effect sizes for both the conventional moME model and the 2moME model. A Bayesian approach is developed to estimate and test moME effects and the corresponding effect sizes (ES). Monte Carlo results indicate that (1) the 2moME model yields more accurate estimates of the parameters than the conventional moME model; (2) the 95% credibility interval following the 2moME model covers the moME effects and the ESs more accurately than that following the conventional moME model; and (3) statistical tests for the existence of the moME effects with the 2moME model are more reliable in controlling type I errors than those with the conventional moME model, especially under heteroscedasticity conditions. In addition, the developed measures of ES are more interpretable, and directly answer the questions regarding the extent to which a moderator can account for the change of the mediation effect between the predictor and the outcome variable through the mediator variable. An empirical example illustrates the application of the 2moME model and the ES measures.

Modeling the change trajectory of sleep duration and its associated factors: based on an 11-year longitudinal survey in China.

BACKGROUND: Sleep duration is a vital public health topic, yet most existing studies have been limited to cross-sectional surveys or inconsistent classifications of sleep duration categories, and few characterized its continuous development process. The current study aimed to depict its change trajectory in the general population and identify associated factors from a dynamic perspective. METHODS: A total of 3788 subjects (45.4% male, mean age 46.72 ± 14.89 years) from the China Health and Nutrition Survey were recruited, and their daily sleep duration for five consecutive measurements from 2004 to 2015 was recorded. We adopted latent growth modelling to establish systematic relations between sleep duration and time. Participants' sociodemographic characteristics, lifestyle, and health factors were taken as covariates. RESULTS: The change in sleep duration could be depicted by a linear decreasing trajectory with the mean yearly decrease at 2.5 min/day. The trajectory did not differ by residence, BMI category, chronic disease situation, smoking status, or drinking status. Moreover, there were sex and age differences in the trajectory, and females and those under 30 were prone to larger decrease rates. CONCLUSION: The quantified yearly change in sleep duration provided insights for the prediction and early warning of insufficient sleep. Public health interventions focusing on slowing down the decrease rates among females and young individuals are warranted.

The association between procrastination in academic writing and negative emotional states during the COVID-19 pandemic: the indirect effects of stress coping styles and self-efficacy.

BACKGROUND AND OBJECTIVES: Limited research has examined the mediating mechanisms underlying the association between procrastination in academic writing and negative emotional states during the COVID-19 pandemic. In the present study, we examined whether stress coping styles and self-efficacy for self-regulation of academic writing mediated the relationship between procrastination in academic writing and negative emotional states. DESIGN AND METHOD: Graduate students (N = 475, 61.7% female, Mage of students at baseline = 29.02 years, SD = 5.72) completed questionnaires at Time 1 (March 2020; Procrastination in Academic Writing and Coping Inventory for Stressful Situations), and Time 2 (June 2020; The Self-Efficacy for Self-Regulation of Academic Writing Scale and Depression, Anxiety, and Stress Scale - 21). RESULTS: Emotion-oriented coping and the self-efficacy for self-regulation of academic writing serially mediated the association between procrastination in academic writing and negative emotional states. Meanwhile, task-oriented coping and self-efficacy for self-regulation of academic writing also serially mediated the association between procrastination in academic writing and negative emotional states. CONCLUSIONS: These findings provide a plausible explanation of the roles that stress coping styles and self-efficacy for self-regulation of academic writing play in the association between procrastination in academic writing and negative emotional states.

Photoredox-catalyzed coupling of aryl sulfonium salts with CO2 and amines to access O-aryl carbamates.

An efficient photoredox-catalyzed three-component coupling reaction of aryl sulfonium salts, carbon dioxide and amines has been developed for the first time. This reaction provides a new strategy for the synthesis of a range of valuable O-aryl carbamates from readily available arenes via a site-selective thianthrenation/carbamoyloxylation two-step process. Mild conditions, broad substrate scope and good functional group tolerance are the features of the transformation. The synthetic utility of the method was demonstrated by the late-stage modification of bioactive molecules and pharmaceuticals.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models.

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

The reciprocal longitudinal relationship between body mass index and subjective well-being in China.

The relationship between body mass index (BMI) and subjective well-being (SWB) has been widely discussed in empirical literature. However, most previous studies were cross-sectional and inadequate to assess directionality. The current study examines the prospective relationship between BMI and SWB by analyzing nationally representative longitudinal data from 2009 to 2015. Eligible subjects were those who participated in a three-wave measurement (n = 18,443, age 13-99 years). We used a random-intercept cross-lagged panel model (RI-CLPM) to investigate the dynamic relationship between BMI and SWB, controlling for covariate effects. Results indicated that BMI and SWB were positively associated at the population level, and there was a reciprocal relationship at the individual level. An individual's BMI levels positively influenced his or her subsequent SWB values, with effects ranging from 0.15 (95% CI: 0.09-0.22) to 0.16 (95% CI: 0.09-0.24). At the same time, an individual's SWB levels positively influenced subsequent BMI values, with effects ranging from 0.12 (95% CI: 0.08-0.17) to 0.17 (95% CI: 0.10-0.24). This mutual reinforcement process supports the "jolly fat" hypothesis from a longitudinal perspective, implying that the psychosocial burden of excess weight may not hold in China. The implications are that mental health interventions could help prevent the risk of being underweight, and nutritional care would contribute to the creation of a happier society.

Childhood Maltreatment and Adolescent Cyberbullying Perpetration: A Moderated Mediation Model of Callous-Unemotional Traits and Perceived Social Support.

Although childhood maltreatment has been shown to play an important role in adolescent cyberbullying perpetration, little is known about mediating and moderating mechanisms underlying this relationship. The current study investigated the mediating role of callous-unemotional (CU) traits in the association between childhood maltreatment and adolescent cyberbullying perpetration, as well as the moderating role of perceived social support. A total of 2,407 Chinese adolescents (aged 11-16 years, Mage = 12.75 years, SD = 0.58) completed the measures of childhood maltreatment, CU traits, cyberbullying perpetration, and perceived social support. The results showed that CU traits partially mediated the relationship between childhood maltreatment and adolescent cyberbullying perpetration. Furthermore, perceived social support moderated the relationship between childhood maltreatment and CU traits, as well as CU traits and cyberbullying perpetration. Specifically, childhood maltreatment had a greater impact on CU traits for adolescents with higher levels of perceived social support and the predictive function of CU traits on cyberbullying perpetration was stronger for adolescents with low levels of perceived social support.

Fear of missing out and problematic social media use as mediators between emotional support from social media and phubbing behavior.

Recent research has identified some risk factors for phubbing behavior. However, scarce research has examined the potential influence of emotional support from social media on phubbing behavior, and little is known regarding the mediating mechanisms underlying this relationship. The present study examined the predictive role of emotional support from social media on phubbing behavior among college students and investigated whether fear of missing out and problematic social media use both mediated the relationship between emotional support from social media and phubbing behavior. A sample of 501 Chinese college students (aged 17-23, Mage = 19.6 years, SD = 1.24) completed questionnaires regarding emotional support from social media, fear of missing out, problematic social media use, and phubbing behavior. The results indicated that (a) emotional support from social media was positively associated with phubbing behavior; (b) both fear of missing out and problematic social media use mediated the relationship between emotional support from social media and phubbing behavior; and (c) fear of missing out and problematic social media use sequentially mediated the relationship between emotional support from social media and phubbing behavior. These findings have important implications for the prevention and intervention of phubbing behavior among college students.

Investigating the Multidimensionality of the Work-Related Flow Inventory (WOLF): A Bifactor Exploratory Structural Equation Modeling Framework.

This study investigated the factor structure of the Work-Related Flow Inventory (WOLF) through the application of the bifactor exploratory structural equation modeling (B-ESEM) framework. Using a sample of 577 Chinese teachers, we contrasted a series of competing models, including CFA, ESEM, bifactor CFA, and B-ESEM models. The results suggested that the B-ESEM structure with three S-factors (absorption, work enjoyment, and intrinsic work motivation) and one G-factor (global flow) was the best representation of the WOLF ratings. The results also supported the composite reliability and the strict invariance of this measurement structure between male and female groups. Relative to males, female teachers showed a higher level of global work-related flow experience. Finally, the nomological validity of WOLF ratings was supported by the statistical relationships of the WOLF factors with job satisfaction and autonomy.

The Total Score With Maximal Reliability and Maximal Criterion Validity: An Illustration Using a Career Satisfaction Measure.

The maximal reliability of a congeneric measure is achieved by weighting item scores to form the optimal linear combination as the total score; it is never lower than the composite reliability of the measure when measurement errors are uncorrelated. The statistical method that renders maximal reliability would also lead to maximal criterion validity. Using a career satisfaction measure as an example, the present article calculated the maximal reliability and maximal criterion validity and compared them with the composite reliability and the scale criterion validity, respectively. The improvement of reliability and validity indicated that the optimal linear combination is preferred when forming a total score of a measure. The Mplus codes for analyzing maximal reliability, maximal criterion validity, and related parameters are provided.

Influence of Leaders' Psychological Capital on Their Followers: Multilevel Mediation Effect of Organizational Identification.

We investigated the relationships between leaders' and their followers' psychological capital and organizational identification in a Chinese community. Participants included 423 followers on 34 work teams, each with its respective team leader. Hierarchical linear models (HLM) were used in the analyses to delineate the relationships among participants' demographic background (gender, age, marital status, and educational level), human capital, and tenure. The results revealed that leaders' psychological capital positively influenced their followers' psychological capital through the mediation effect of enhancing followers' organizational identification. The implications of these findings, the study's limitations, and directions for future research are discussed.

Monotonicity of effect sizes: Questioning kappa-squared as mediation effect size measure.

Mediation analysis is important for research in psychology and other social and behavioral sciences. Great progress has been made in testing mediation effects and in constructing their confidence intervals. Mediation effect sizes have also been considered. Preacher and Kelley (2011) proposed and recommended κ² as an effect size measure for a mediation effect. In this article, we argue that κ² is not an appropriate effect size measure for mediation models, because of its lack of the property of rank preservation (e.g., the magnitude of κ² may decrease when the mediation effect that κ² represents increases). Furthermore, κ² can lead to paradoxical results in multiple mediation models. We show that the problem of κ² is due to (a) the improper calculation of the maximum possible value of the indirect effect, and (b) mathematically, the maximum possible indirect effect is infinity, implying that the definition of κ² is mathematically incorrect. At this time, it appears that the traditional mediation effect size measure PM (the ratio of the indirect effect to the total effect), together with some other statistical information, should be preferred for basic mediation models. But for inconsistent mediation models where the indirect effect and the direct effect have opposite signs, the situation is less clear. Other considerations and suggestions for future research are also discussed.

Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction.

Interactions between (multiple indicator) latent variables are rarely used because of implementation complexity and competing strategies. Based on 4 simulation studies, the traditional constrained approach performed more poorly than did 3 new approaches--unconstrained, generalized appended product indicator, and quasi-maximum-likelihood (QML). The authors' new unconstrained approach was easiest to apply. All 4 approaches were relatively unbiased for normally distributed indicators, but the constrained and QML approaches were more biased for nonnormal data; the size and direction of the bias varied with the distribution but not with the sample size. QML had more power, but this advantage was qualified by consistently higher Type I error rates. The authors also compared general strategies for defining product indicators to represent the latent interaction factor.