3~5岁儿童母亲抚养压力类型特点及其影响因素

通过对6021名3~5岁儿童母亲抚养压力进行潜在剖面分析,探讨母亲抚养压力的类型特点及其影响因素.结果表明:(1)3~5岁儿童母亲的抚养压力可以分为五类:低压力型(22.31%,指来自儿童发展和自身承担母亲角色的压力均最低)、适度压力型(38.17%,指来自两方面的压力均处于平均水平)、高儿童侧面压力型(26.39%,指来自儿童发展的压力较高)、高家长侧面压力型(8.62%,指来自母亲角色的压力较高)和高综合压力型(4.52%,指来自两方面的压力均最高);(2)生育年龄和家庭收入较低的母亲更可能属于高儿童侧面压力型,对儿童期望较高的母亲更可能属于高家长侧面压力型;学历较低、夫妻关系较差的母亲更可能属于高儿童侧面、高家长侧面和高综合压力型.     

社会支持对抑郁影响的中介模型探讨

本研究旨在探索预先应对和积极情绪在社会支持和抑郁间的中介作用。采用两个时间点的纵向数据搜集方式对181名大学生施以量表,然后通过路径分析对假设的中介模型进行拟合度检验,结果表明：（1）预先应对是社会支持和积极情绪之间的部分中介变量;（2）积极情绪是社会支持和预先应对与抑郁间的中介变量。结论：社会支持是预防抑郁的重要途径,提升预先应对策略和积极情绪的体验可以进一步增进社会支持对抑郁的缓解作用。     

Identifying “types” of ideologies and intergroup biases: Advancing a person-centred approach to social psychology

Whether it be those who are “high” on right-wing authoritarianism (RWA) and social dominance orientation (SDO), or a mixture of “low” on explicit, but “high” on implicit, bias, many social psychological theories predict the existence of distinct “types” of people. These assumptions are, however, untestable using variable-centred analyses. Accordingly, we argue that the time has come to utilise person-centred analyses that enable us to test these key assumptions. We open by demonstrating how to implement – and interpret – latent profile analysis (a type of person-centred analysis), using RWA and SDO as an example. We then discuss the debate over the dimensionality of political ideology to highlight the need for person-centred analyses. Next, we review person-centred approaches to political ideology and highlight recent work using person-centred analyses to assess key assumptions of ambivalent sexism and relative deprivation. We conclude by discussing limitations to person-centred approaches and by providing suggestions for future research.     

Set points of positivity ratio for different levels of well‐being: A latent profile analysis

Previous studies have explored the set points of the positivity ratio by grouping according to predetermined cut‐off scores, resulting in inconsistent criteria and unstable results. This study intends to further explore the set points of the positivity ratio using latent profile analysis. Two samples of 716 college students and 381 adults in China completed the Questionnaire for Eudaimonic Well‐Being, the Personal Growth Subscale from Ryff's Psychological Well‐being Scale, the Need Satisfaction Questionnaire, and the Emotional Experience of Well‐Being Questionnaire. College students were classified into four classes (2.0, 2.8, 3.7 and 5.0) with the set points of the positivity ratio, whereas adults were classified into three classes (1.9, 2.9 and 4.2) with the set points of the positivity ratio. The difference of the set points between college students and adults was nonsignificant for medium and high well‐being classes, and significant with a small effect size for the higher well‐being class. Future research should examine more diverse samples and combine the real experience method to further explore the set points of the positivity ratio.     

类别变量的中介效应分析

在心理学和其他社科研究领域,研究者能熟练地进行连续变量的中介效应分析,但面对自变量、中介变量或(和)因变量为类别变量的中介效应分析,研究者往往束手无策。在阐述类别自变量中介分析方法的基础上,我们建议使用整体和相对中介相结合的类别自变量中介分析方法,并给出了分析流程。以二分因变量为例,讨论了中介变量或(和)因变量为类别变量的中介分析方法的发展过程(即尺度统一的过程),建议通过检验Za×Zb的显著性来判断中介效应的显著性。用二个实际例子演示如何进行类别变量的中介效应分析。最后展望了类别变量的中介效应分析研究的拓展方向。     

(Re)evaluating the Implications of the Autoregressive Latent Trajectory Model Through Likelihood Ratio Tests of Its Initial Conditions

The autoregressive latent trajectory (ALT) model synthesizes the autoregressive model and the latent growth curve model. The ALT model is flexible enough to produce a variety of discrepant model-implied change trajectories. While some researchers consider this a virtue, others have cautioned that this may confound interpretations of the model's parameters. In this article, we show that some—but not all—of these interpretational difficulties may be clarified mathematically and tested explicitly via likelihood ratio tests (LRTs) imposed on the initial conditions of the model. We show analytically the nested relations among three variants of the ALT model and the constraints needed to establish equivalences. A Monte Carlo simulation study indicated that LRTs, particularly when used in combination with information criterion measures, can allow researchers to test targeted hypotheses about the functional forms of the change process under study. We further demonstrate when and how such tests may justifiably be used to facilitate our understanding of the underlying process of change using a subsample (N = 3,995) of longitudinal family income data from the National Longitudinal Survey of Youth.     

Are economic conditions related to nonnormative life satisfaction development? Evaluating the relative impact of economic conditions,personality, and subjective health

This study examined the relative contribution of psychological and socioeconomic resources to explaining qualitative individual differences in life satisfaction development. We used growth mixture modeling and a cohort‐sequential design to investigate life satisfaction development from ages 25 to 65, in a nationally representative panel (the Socioeconomic Panel). Eighty‐three percent of the participants experienced stability in life satisfaction. In a subgroup of individuals (10%), life satisfaction declined. This subgroup lived under less favorable economic conditions and reported downward moves on an index of socioeconomic status. In another subgroup (7%), life satisfaction was low at age 25 and increased up to age 65. This group was also socioeconomically disadvantaged but scored higher on adaptive personality traits and experienced upward social mobility. Generally, personality traits explained level differences in life satisfaction better than economic conditions. However, economic conditions explained nonnormative life satisfaction development better than generalized control beliefs and the Big Five traits.     

Profiles of adversity and resilience resources: A latent class analysis of two samples

Adversities refer to events that are characterized by perceived or actual threat to human functioning. Often considered deleterious for health and well-being, recent work supports an alternative picture of the effects of adversity on human functioning, such that a moderate amount of adversity – when compared with none or high levels – can be beneficial. We extend this body of work in the current study by considering the breadth or type of adversities experienced simultaneously (referred to as polyadversity), with a focus on individual profiles of lifetime adversities. Latent class analysis was employed to explore different configurations of lifetime adversity experiences in two independent samples and examine how these latent classes differed with regard to resilience resources (i.e., optimism, hope, self-efficacy, and bounce-back ability). University students (N = 348) and members from the broader community (N = 1,506) completed measures of lifetime adversity exposure and resilience resources. Three polyadversity classes were revealed in each sample, with both producing a high and a low polyadversity class. The third class differed between samples; in the student sample, this class represented experiences of vicarious adversity, whereas in the community sample, it represented moderate levels of exposure to adversity. Support for the adaptive nature of a moderate amount of adversity exposure was found in the community sample but not in the student sample. This study produces initial evidence of how lifetime adversity experiences group together and how class membership is related to resilience resources.     

两类常见的类别变量调节效应分析

类别变量在心理学和其他社科研究领域经常遇到,当自变量或调节变量为类别变量时,应当如何分析调节效应呢？详述了多类别变量的被试间设计和两水平被试内设计（因变量重复测量2次）的调节效应分析方法,并给出了分析流程。先进行调节效应的显著性检验,后用选点法或Johnson-Neyman法进行简单斜率检验。多类别变量被试间设计的简单斜率检验是先进行整体检验,后进行配对检验。用两个实际例子演示如何进行类别变量的调节效应分析,最后展望了两类设计的类别变量调节研究的拓展方向,例如更复杂的类别变量的调节模型等。