儿童期虐待与成年后孤独感的关系:反刍思维与核心自我评价的中介作用

为考察儿童期虐待对成年后孤独感的影响机制,本研究基于反应风格理论和依恋理论,使用问卷随机调查了811名大学生。结果显示:(1)反刍思维在儿童期虐待与孤独感之间有显著中介作用;(2)核心自我评价在儿童期虐待对孤独感的影响中起显著中介作用;(3)核心自我评价与反刍思维在儿童期虐待与孤独感之间起显著连续中介作用。本研究的结果有助于揭示儿童期虐待对孤独感的影响机制,对抑制儿童期虐待的消极后果具有重要的启示意义。     

The EffectLiteR Approach for Analyzing Average and Conditional Effects

We present a framework for estimating average and conditional effects of a discrete treatment variable on a continuous outcome variable, conditioning on categorical and continuous covariates. Using the new approach, termed the EffectLiteR approach, researchers can consider conditional treatment effects given values of all covariates in the analysis and various aggregates of these conditional treatment effects such as average effects, effects on the treated, or aggregated conditional effects given values of a subset of covariates. Building on structural equation modeling, key advantages of the new approach are (1) It allows for latent covariates and outcome variables; (2) it permits (higher order) interactions between the treatment variable and categorical and (latent) continuous covariates; and (3) covariates can be treated as stochastic or fixed. The approach is illustrated by an example, and open source software EffectLiteR is provided, which makes a detailed analysis of effects conveniently accessible for applied researchers.     

Analyzing Complex Treatment Effects in Nonrandomized Observational Studies: The Case of Retention of Students in Grade

Should low-achieving students be promoted to the next grade or be retained (held back) in the prior grade? This special section presents a discussion of the application of marginal structural models to the challenging problem of estimating the effect of promotion versus retention in grade on math scores in elementary school. Vandecandelaere, De Fraine, Van Damme, and Vansteelandt provide a didactic presentation of the marginal structural modeling approach, noting retention is a time-varying treatment because promoted low-achieving students may be retained in a subsequent grade. Steiner, Park, and Kim's commentary presents a detailed analysis of the treatment effects being estimated in same-age versus same-grade comparisons from the perspective of the potential outcomes model. Reshetnyak, Cham, and Kim's commentary clarifies the conditions under which same-age versus same-grade comparisons might be preferred; they also identify methods of further improving the estimation of retention effects. In their rejoinder, Vandecandelaere and Vansteelandt discuss tradeoffs in comparing the promoted and retained groups and highlight sensitivity analysis as a method of probing the robustness of treatment effect estimates. Our hope is that this combined didactic presentation and critical evaluation will encourage researchers to add marginal structural models to their methodological toolkits.     

A Comparison of ML,WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study

Multilevel structural equation models are increasingly applied in psychological research. With increasing model complexity, estimation becomes computationally demanding, and small sample sizes pose further challenges on estimation methods relying on asymptotic theory. Recent developments of Bayesian estimation techniques may help to overcome the shortcomings of classical estimation techniques. The use of potentially inaccurate prior information may, however, have detrimental effects, especially in small samples. The present Monte Carlo simulation study compares the statistical performance of classical estimation techniques with Bayesian estimation using different prior specifications for a two-level SEM with either continuous or ordinal indicators. Using two software programs (Mplus and Stan), differential effects of between- and within-level sample sizes on estimation accuracy were investigated. Moreover, it was tested to which extent inaccurate priors may have detrimental effects on parameter estimates in categorical indicator models. For continuous indicators, Bayesian estimation did not show performance advantages over ML. For categorical indicators, Bayesian estimation outperformed WLSMV solely in case of strongly informative accurate priors. Weakly informative inaccurate priors did not deteriorate performance of the Bayesian approach, while strong informative inaccurate priors led to severely biased estimates even with large sample sizes. With diffuse priors, Stan yielded better results than Mplus in terms of parameter estimates.     

Counsellors' focus on competitive employment for people with severe mental illness: an application of the theory of planned behaviour in vocational rehabilitation programmes

Although the evidence-based Individual Placement and Support programme highlights the importance of the vocational rehabilitation (VR) counsellors' focus on competitive employment during career counselling, studies have shown that counsellors do not always target such jobs. This study examines which determinants affect the counsellors' intentions using an extended version of the Theory of Planned Behaviour. Cross-sectional data of 263 VR counsellors of three public employment services were analysed using structural equation modelling. A path model comprising attitudes, prior behaviour, and subjective and moral norms explained 69% of the variance in intentions. The findings indicate that counsellors focus more on competitive employment when they (1) view the placement in a competitive job as positive, (2) experience support and (3) have prior relevant experiences.     

What are the combined effects of negative emotions and illness cognitions on self-care in people with type 2 diabetes? A longitudinal structural equation model

Objective: To explore whether negative emotions mediate the effect of diabetes cognitions on diabetes self-care and conversely whether diabetes cognitions mediate the effect of negative emotions on diabetes self-care.

Design: Longitudinal observational study in adults with type 2 diabetes.

Main outcome measures: Self-reported depression and anxiety (Diabetes Wellbeing Questionnaire), cognitions (Illness Perceptions Questionnaire-Revised; Beliefs about Medicines Questionnaire), and diabetes self-care (Summary of Diabetes Self-Care Activities Scale) were completed at baseline and six months. Analyses used structural equation modelling.

Results: Baseline medication concerns were associated with elevated symptoms of depression and anxiety at follow-up, but emotions did not mediate medication concern’s effect on diabetes self-care. Baseline depression and anxiety symptoms were associated with specific diabetes cognitions over time, but these cognition domains did not mediate emotion’s effect on diabetes self-care. Personal control remained independent of emotions and was associated with diabetes self-care over time.

Conclusions: Negative emotions did not act directly or alongside cognitions to influence diabetes self-care. The reciprocal relationship between diabetes cognitions and emotions suggests cognitive restructuring, in addition to other mood management intervention techniques would likely improve the emotional wellbeing of adults with type 2 diabetes. Likewise, personal control beliefs are likely important intervention targets for improving self-care.     

Predictors of multiple concurrent and multiple sexual partnerships among male and female youth aged 18–24 in South Africa

This study aimed to determine predictors of multiple concurrent and multiple sexual partnerships among South African male and female youth. Data were from a cross-sectional population-based household survey of 3 123 youths aged 18 to 24 years from four South African provinces (males = 53.6%, blacks = 97.8%). Results from a sub-sample of being sexually active in the past 12 months (n = 1787) indicate that 5.3% (7.1% in males and 3.1% in females) youth participants had multiple concurrent sexual partners, and 38.8% (50.1% in males and 25.8% in females) had had two or more sexual partners in the past 12 months. Among females, multiple concurrent partnerships were only predicted by lower social network resources. Predictors of multiple sexual partnerships (two or more sexual partners in the past 12 months) among males included high HIV risk perception, never been tested for HIV and hazardous or harmful alcohol use. By contrast, among females, high peer pressure, lower education and ever having taken drugs predicted involvement with multiple sexual partners. Multi-level health promotion interventions are indicated for sexual behaviour change among South African youth.     

Using self-determination theory to understand motivation for walking: Instrument development and model testing using Bayesian structural equation modelling

ObjectiveThe motivational processes underpinning walking behaviour are not well understood. This study aimed to develop walking-specific motivation measures drawn from self-determination theory (SDT), assess the psychometric properties of the measures, incorporating Baysesian structural equation modelling (BSEM), and examine how these variables relate to walking behaviour.MethodParticipants (n = 298; mean age = 41.69; S.D. = 11.06; male = 57) completed the Behavioural Regulations in Walking Questionnaire (BRWQ), Psychological Needs Satisfaction for Walking Scale (PNSWS) and the IPAQ-long form, from which measures of workplace, transport and leisure walking were extracted. BSEM was used to test the hypothesized factor structures of the BRWQ and PNSWS. Internal reliabilities were assessed using the composite reliability coefficient. Convergent and discriminant validity were assessed by examining the relationships between the variables in relation to established theory.ResultsBSEM showed excellent fit for the BRWQ and PNSWS measurement models. The scales demonstrated good internal consistency. The associations within and between the BRWQ and PNSWS subscales were generally as expected. The relationship between the BRWQ subscales and walking for transport and leisure were also generally as expected, but there were no significant relationships for walking at work. Two PNSWS subscales were significantly related to walking for leisure, but no significant relationships were evident for walking for transport and at work.ConclusionsThere is preliminary evidence for the acceptable psychometric properties of instruments to measure SDT constructs in walking, and the findings highlight the advantages of BSEM. The findings also suggest that the motivational processes underpinning walking may vary by type of walking.     

Protoalgebraic Gentzen Systems and the Cut Rule

In this paper we show that, in Gentzen systems, there is a close relation between two of the main characters in algebraic logic and proof theory respectively: protoalgebraicity and the cut rule. We give certain conditions under which a Gentzen system is protoalgebraic if and only if it possesses the cut rule. To obtain this equivalence, we limit our discussion to what we call regular sequent calculi, which are those comprising some of the structural rules and some logical rules, in a sense we make precise. We note that this restricted set of rules includes all the usual rules in the literature. We also stress the difference between the case of two-sided sequents and the case of many-sided sequents, in which more conditions are needed.     

Maximum likelihood estimation of latent interaction effects with the LMS method

In the context of structural equation modeling, a general interaction model with multiple latent interaction effects is introduced. A stochastic analysis represents the nonnormal distribution of the joint indicator vector as a finite mixture of normal distributions. The Latent Moderated Structural Equations (LMS) approach is a new method developed for the analysis of the general interaction model that utilizes the mixture distribution and provides a ML estimation of model parameters by adapting the EM algorithm. The finite sample properties and the robustness of LMS are discussed. Finally, the applicability of the new method is illustrated by an empirical example. This research has been supported by a grant from the Deutsche Forschungsgemeinschaft, Germany, No. Mo 474/1 and Mo 474/2. The data for the empirical example have been provided by Andreas Thiele of the University of Frankfurt, Germany. The authors are indebted to an associate editor and to three anonymous reviewers ofPsychometrika whose comments and suggestions have been very helpful.