潜在剖面分析在组织行为领域中的应用

以个体为中心的研究路径将各个变量看作是相互依赖的一个系统, 基于多项特征(变量)将被试分为多个子群体, 分析子群体的前因与影响。以个体为中心的研究路径理解更加直观、更贴近实践, 受到越来越多的关注。潜在剖面分析(latent profile analysis, LPA)是以个体为中心研究路径的典型分析技术。在总结归纳以个体与以变量为中心两种研究路径异同、LPA与传统以个体为中心的分析技术差异后, 系统梳理了LPA在组织行为学领域的应用主题, 并从研究主题选取、样本要求、理论使用、剖面数量确定等方面归纳了LPA应用的步骤与注意事项。最后, 提出了未来研究的方向。     

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.     

分类精确性指数Entropy在潜剖面分析中的表现:一项蒙特卡罗模拟研究

本研究通过蒙特卡洛模拟考查了分类精确性指数Entropy及其变式受样本量、潜类别数目、类别距离和指标个数及其组合的影响情况。研究结果表明:(1)尽管Entropy值与分类精确性高相关,但其值随类别数、样本量和指标数的变化而变化,很难确定唯一的临界值;(2)其他条件不变的情况下,样本量越大,Entropy的值越小,分类精确性越差;(3)类别距离对分类精确性的影响具有跨样本量和跨类别数的一致性;(4)小样本(N=50~100)的情况下,指标数越多,Entropy的结果越好;(5)在各种条件下Entropy对分类错误率比其它变式更灵敏。     

Uncertainty and risk during the COVID-19 pandemic: A latent profile analysis

In the present study, we examine how subgroups of people are characterized by different profiles of uncertainty surrounding COVID-19, susceptibility, and recovery. Participants (N = 199) were U.S. residents recruited online for a longitudinal study during the summer of 2020. We first, identified groups using latent profile analysis (LPA) and then examined whether these profiles predicted differences in COVID-related risky and preventative behaviors. LPA identified five distinct profiles of people representing a combination of low and high uncertainty and low, moderate, and high risk perceptions. Results revealed that latent-profile group membership predicted intention to interact with others outside of the household, intention to engage in non-essential shopping, intention to attend an in-person religious gathering, intention to wear a mask in public, and self-reported physical distancing in the past week. Profile membership did not predict intentions to: dine out, go to the nail/hair salon, go to the gym, nor physically distance from others in the future, nor did it predict handwashing in the past week.     

Exploring the peer status prototypes: A large-scale latent profile analysis on high-school students from four European countries

Peer status – the regard other group members have of an individual – is fundamental for youth development. Different research traditions developed independent theoretical frameworks conceiving the dimensions underlying social status, and this led to identifying a variety of peer status prototypes. In this work, we explored whether a classification based on the four dimensions of popularity, aggression, dislike, and victimization could integrate the scattered peer status profiles found in the different traditions. A latent profile analysis on 16,224 European students identified the peer status prototypes of popular, bullies, disliked, victims, and average students. Both the peer- and self-reported correlates supported that the five profiles accounted for the large variety of the students' profiles in the literature. These findings suggest that the adoption of a multidimensional approach supported by advanced statistical procedures could identify students' peer status profiles more effectively, replacing classifications based on cutoffs, and leading to a unified students' classification.     

学校资源与早期青少年心理社会适应的关系：一项潜在转变分析

以1012名初一学生为被试进行3年的追踪研究, 采用潜在剖面分析与潜在转变分析考察了早期青少年心理社会适应的亚组分化与转变情况, 以及学校资源与性别在青少年发展适应中的作用。结果发现：(1)初一时青少年的心理社会适应分化成2个亚组：适应良好组与内化问题组, 初二与初三时青少年分化成4个适应亚组：适应良好组、内化问题组、外化问题组和同伴拒绝组; (2)从初二到初三, 适应良好组和内化问题组的青少年保持了较高的稳定性, 同伴拒绝组和外化问题组的青少年向适应良好组转变的概率最高; (3)拥有更多学校资源的青少年更可能处于或保留在适应良好组, 同时在初二时拥有更多学校资源的外化问题组和同伴拒绝组的青少年在初三时更可能向适应良好组转变; (4)初二时女生更大概率地进入内化问题组。研究结果有助于深化对早期青少年心理社会适应发展模式多样性的理解, 并提示教育人员有必要对青少年适应状况进行全面筛查和动态监测, 以便针对适应亚组和性别特点制定更为复杂的预防和干预方案。     

Linking psychological risk profiles to running-related injuries and chronic fatigue in long-distance runners: A latent profile analysis

IntroductionConsistently predicting adverse outcomes of long-distance running, such as running-related injuries (RRIs) and chronic fatigue, has proven to be a complicated matter. However, research suggests that a stronger focus on psychological factors of runners might provide further insights. Consequently, in this study, we explored the interplay between self-regulatory coping strategies and motivational aspects. Using a person-centered approach, we investigated whether latent psychological profiles of runners were associated with RRIs and chronic fatigue.MethodsQuestionnaire data were gathered from Dutch recreational long-distance runners (N = 425) using a cross-sectional design. We determined whether specific psychological combinations (i.e., latent profiles) based on coping strategies (i.e., running-related resources and recovery) and motivational aspects (i.e., harmonious and obsessive passion) could be distinguished using latent profile analysis (LPA). The resulting profiles were tested for their associations with RRIs and chronic fatigue.ResultsLPA revealed three different psychological risk profiles, termed the ‘low-risk’, ‘medium-risk’, and ‘high-risk’ profile. The low-risk profile showed low scores on obsessive passion and high scores on all recovery dimensions, whereas the high-risk profile resembled the opposite pattern. Furthermore, the low-risk profile showed significantly fewer RRIs and lower chronic fatigue scores than the high-risk profile.DiscussionThe results reveal that (1) patterns of passion and coping strategies interact in defining different profiles and (2) that such profiles are indeed linked to RRIs and chronic fatigue. Utilizing profiles might enable targeted intervention and more effective preventative measures by pinpointing at-risk runners. Specific combinations of psychological aspects, as reflected by our profiles, thus appear a worthwhile direction to consider in understanding RRIs and chronic fatigue in long-distance running.     

Intersectional experiences of discrimination in a low‐resource urban community: An exploratory latent class analysis

There have been increasing calls for the application of an intersectionality framework to understand and address discrimination and health inequities among diverse communities. Yet there have been theoretical debates regarding to whom intersectionality applies and how intersectional experiences of discrimination are associated with health outcomes. The current study aimed to contribute to these theoretical debates and inform practical applications to reduce health inequities. Data were drawn from a community health survey in New Haven, CT (N = 1,293 adults) and analysed using latent class analysis. Results yielded 4 classes. Members of the 4 classes were similar sociodemographically. Three classes of participants reported experiencing discrimination, and members of these classes had greater stress, higher rates of smoking and sleep disruption, and worse overall health than members of the class reporting no discrimination. Members of 2 classes made multiple, or intersectional, attributions for discrimination, and members of these classes reported the most frequent discrimination. Findings suggest that community members who are sociodemographically similar may have diverse discrimination experiences. Multilevel interventions that address multiple forms of discrimination (e.g., racism and sexism) may hold promise for reducing discrimination and, ultimately, health inequities within low‐resource urban community settings.     

A data-driven approach to neuropsychological features in isolated REM behaviour disorder: A latent class analysis

Recent evidence demonstrated that neuropsychological assessment may be considered a valid marker of neurodegeneration in idiopathic REM sleep behaviour disorder (iRBD). However, little is known about the possible neuropsychological heterogeneity within the iRBD population. This retrospective study aimed to identify and describe different neuropsychological phenotypes in iRBD patients by means of a data-driven approach using latent class analysis. A total of 289 iRBD patients underwent a neuropsychological assessment evaluating cognitive domains: global cognition, language, short- and long-term memory, executive functions and visuospatial abilities. The presence of mild cognitive impairment (MCI) was also assessed. Latent class analysis was carried out to identify iRBD subtypes according to neuropsychological scores. The most parsimonious model identified three latent classes. Groups were labelled as follows: Class 2 “severely impaired” (n = 83/289): mean pathological scores in different tests, a high percentage of MCI multiple-domain and impairment in all neuropsychological domains. Class 1 “moderately impaired” (n = 44/289): mean neuropsychological score within the normal value, a high percentage of MCI (high risk to phenoconversion) and great impairment in the visuospatial domain. Class 3 “slightly impaired” (n = 162/289): no deficit worthy of attention except for short- and long-term memory. Our results suggest three different clinical phenotypes within the iRBD population. These findings may be relevant in the future for predicting the clinical trajectories of phenoconversion in iRBD.     

Social Achievement Goals and Social Adjustment in Adolescence: A Multiple‐Goal Perspective

Adolescents approach social situations with different social achievement goals (i.e., social development goals, demonstration‐approach goals, and demonstration‐avoid goals). Applying a latent profile analysis (LPA), a person‐centered approach, this study identified four groups of adolescents with distinct social goal profiles: approach‐oriented, undifferentiated high, demonstration‐oriented, and undifferentiated low. Observed differences in various indicators of social adjustment, including social anxiety, friendship quality, prosocial behavior as well as aggressive behavior, indicated that the approach‐oriented and undifferentiated high profiles showed most adaptive outcomes, whereas the demonstration‐oriented and undifferentiated low profiles showed maladaptive patterns of social outcomes. Profiles with high levels of social development goals showed the most adaptive social outcomes regardless of the level of demonstration‐oriented goals (i.e., demonstration‐approach and demonstration‐avoid goals). These findings suggest that focusing on high‐quality relationships and developing social competence leads to adequately contending with social challenges, and it provides protection against the negative effects of demonstration‐oriented social goals.     

A Self‐regulation Perspective on Hidden‐profile Problems: If–Then Planning to Review Information Improves Group Decisions

In hidden‐profile (HP) problems, groups squander their potential to make superior decisions because members fail to capitalize on each other's unique knowledge (unshared information). A new self‐regulation perspective suggests that hindrances in goal striving (e.g., failing to seize action opportunities) contribute to this problem. Implementation intentions (if–then plans) are known to help deal with hindrances in goal striving; therefore, supporting decision goals with if–then plans should improve the impact of unshared information on group decisions. Indeed, in line with past research, control participants in two experiments rarely identified the best alternative despite monetary incentives and setting decision goals. In contrast, simply adding if–then plans to review advantages of the non‐preferred alternatives before making the final decision significantly increased solution rates. Process manipulations (Experiment 1) and measures (Experiment 2) indicate that conceptualizing HP problems as a self‐regulation challenge provides explanatory power beyond existing accounts. Copyright © 2014 John Wiley & Sons, Ltd.     

Los Degradados: Out,down, dead: Transmitted and inflicted trauma as encountered in the analysis of a 6‐year‐old girl1

The author presents the analysis of a precocious traumatized little girl, which reveals the ways in which historical trauma is transmitted and intrafamilial trauma is both disguised and represented. The play as it evolves is seen to simultaneously communicate what the child struggles with and to resolutely try to hide what has actually happened. Analyst and child together participate in play which utilizes displacement, enactment and interactive enactment, the latter play mode being the very hallmark of profound traumatic experience. Carlotta, the child, helps the analyst to follow her quest for meaning making even as the interaction between them adheres to and departs from the deepening pentimenti of traumatic experience, which needs to be unraveled and reconstructed in order that her own developmental progression can be rejoined. The analysis facilitates Carlotta's capacity to play in a more unfettered fashion and to assist her family's recovery as well.     

The neural correlates of orienting to walking direction in 6‐month‐old infants: An ERP study

The ability to detect social signals represents a first step to enter our social world. Behavioral evidence has demonstrated that 6‐month‐old infants are able to orient their attention toward the position indicated by walking direction, showing faster orienting responses toward stimuli cued by the direction of motion than toward uncued stimuli. The present study investigated the neural mechanisms underpinning this attentional priming effect by using a spatial cueing paradigm and recording EEG (Geodesic System 128 channels) from 6‐month‐old infants. Infants were presented with a central point‐light walker followed by a single peripheral target. The target appeared randomly at a position either congruent or incongruent with the walking direction of the cue. We examined infants' target‐locked event‐related potential (ERP) responses and we used cortical source analysis to explore which brain regions gave rise to the ERP responses. The P1 component and saccade latencies toward the peripheral target were modulated by the congruency between the walking direction of the cue and the position of the target. Infants' saccade latencies were faster in response to targets appearing at congruent spatial locations. The P1 component was larger in response to congruent than to incongruent targets and a similar congruency effect was found with cortical source analysis in the parahippocampal gyrus and the anterior fusiform gyrus. Overall, these findings suggest that a type of biological motion like the one of a vertebrate walking on the legs can trigger covert orienting of attention in 6‐month‐old infants, enabling enhancement of neural activity related to visual processing of potentially relevant information as well as a facilitation of oculomotor responses to stimuli appearing at the attended location.     

Using the dual‐criteria methods to supplement visual inspection: An analysis of nonsimulated data

The purpose of our study was to examine the probability of observing false positives in nonsimulated data using the dual‐criteria methods. We extracted data from published studies to produce a series of 16,927 datasets and then assessed the proportion of false positives for various phase lengths. Our results indicate that collecting at least three data points in the first phase (Phase A) and at least five data points in the second phase (Phase B) is generally sufficient to produce acceptable levels of false positives.     

Meta‐CART: A tool to identify interactions between moderators in meta‐analysis

In the framework of meta‐analysis, moderator analysis is usually performed only univariately. When several study characteristics are available that may account for treatment effect, standard meta‐regression has difficulties in identifying interactions between them. To overcome this problem, meta‐CART has been proposed: an approach that applies classification and regression trees (CART) to identify interactions, and then subgroup meta‐analysis to test the significance of moderator effects. The previous version of meta‐CART has its shortcomings: when applying CART, the sample sizes of studies are not taken into account, and the effect sizes are dichotomized around the median value. Therefore, this article proposes new meta‐CART extensions, weighting study effect sizes by their accuracy, and using a regression tree to avoid dichotomization. In addition, new pruning rules are proposed. The performance of all versions of meta‐CART was evaluated via a Monte Carlo simulation study. The simulation results revealed that meta‐regression trees with random‐effects weights and a 0.5‐standard‐error pruning rule perform best. The required sample size for meta‐CART to achieve satisfactory performance depends on the number of study characteristics, the magnitude of the interactions, and the residual heterogeneity.     

From bastion to enactment: The ‘non‐dream’ in the theatre of analysis1

In this paper, the author's objective is to discuss models that express what occurs in the analytical situation. He demonstrates how early models relating to painting and sculpture, to history and archaeology, develop into other models that refer to the relationship between two people. He studies in depth the Barangers analytical eld with its obstructive bastions as a background to understanding what is currently valued as intersubjectivity in psychoanalysis. The container contained model and the phenomenon of recruitment are also discussed. The author uses clinical material to demonstrate how these models are linked to enactment, and a study of this concept provides evidence of the importance of the visual image, the dream and non‐dream, the affective pictogram, as privileged aspects for the understanding and evolution of thought in the analytical process. Its importance leads to a proposal of a model that uses the theatre as a metaphor for the analytical process. In this model, analyst and patient both participate as characters in the scenes, and simultaneously as their co–authors. The analyst should also be responsible for the direction of scenes, as well as acting as critic. His task is to prevent obstructive conspiracies (the non‐dream) and new meanings for the scenes, thus allowing the development of new scenes and plots, and the enlarging of the mental universe.     

Using time‐lagged panel data analysis to study mechanisms of change in psychotherapy research: Methodological recommendations

The introduction of novel methodologies in the past decade has advanced research on mechanisms of change in observational studies. Time‐lagged panel models allow us to track session‐by‐session changes and focus on within‐patient associations between predictors and outcomes. This shift is crucial as change in mechanisms inherently takes place at a within‐patient level. These models also enable preliminary casual inferences, which can guide the development of effective personalised interventions that target mechanisms of change, used at specific treatment phases for optimal effect. Given their complexity, panel models need to be implemented with caution, as different modelling choices can significantly affect results and reduce replicability. We outline three central methodological recommendations for use of time‐lagged panel analysis to study mechanisms of change: (a) taking patient‐specific effects into account, separating out stable between‐person differences from within‐person fluctuations over time; (b) properly controlling for autoregressive effects; and (c) considering long‐term time trends. We demonstrate these recommendations in an applied example examining the session‐by‐session alliance–outcome association in a naturalistic psychotherapy study. We present limitations of time‐lagged panel analysis and future directions.