Bayesian Latent Class Analysis Tutorial

This article is a how-to guide on Bayesian computation using Gibbs sampling, demonstrated in the context of Latent Class Analysis (LCA). It is written for students in quantitative psychology or related fields who have a working knowledge of Bayes Theorem and conditional probability and have experience in writing computer programs in the statistical language R. The overall goals are to provide an accessible and self-contained tutorial, along with a practical computation tool. We begin with how Bayesian computation is typically described in academic articles. Technical difficulties are addressed by a hypothetical, worked-out example. We show how Bayesian computation can be broken down into a series of simpler calculations, which can then be assembled together to complete a computationally more complex model. The details are described much more explicitly than what is typically available in elementary introductions to Bayesian modeling so that readers are not overwhelmed by the mathematics. Moreover, the provided computer program shows how Bayesian LCA can be implemented with relative ease. The computer program is then applied in a large, real-world data set and explained line-by-line. We outline the general steps in how to extend these considerations to other methodological applications. We conclude with suggestions for further readings.     

Social Anxiety and the Quality of Everyday Social Interactions: The Moderating Influence of Alcohol Consumption

Most research on the link between social anxiety and alcohol consumption has examined problematic outcomes without consideration of potential adaptive functions. Alcohol is an anxiolytic that has the short-term benefit of reducing anxiety; consumption may act as a social lubricant that facilitates higher quality social interactions. Using experience-sampling methodology, we examined how consuming alcohol attenuates the adverse effects of social anxiety in naturally occurring social interactions. Participants (N = 160) completed demographic and trait measures, then completed daily assessments for 14 consecutive days. Results from multilevel model analyses revealed that during face-to-face social interactions, state social anxiety was inversely related to 10 indicators of healthy social interactions (e.g., enjoyment, laughter, feelings of acceptance). Alcohol consumption moderated seven of these associations, such that when participants consumed alcohol in social situations, state social anxiety was no longer associated with social interaction quality. The quantity of alcoholic drinks consumed moderated two of these associations. Furthermore, we found evidence for directionality, such that social anxiety in a given social interaction predicted alcohol consumption in a subsequent social interaction, but not the reverse (i.e., alcohol consumption did not prospectively predict state social anxiety). In social situations that involved alcohol, experiences of social anxiety no longer thwarted one’s ability to derive social benefits. These results should be interpreted in the context of a participant sample with relatively low levels of trait social anxiety and frequency of alcohol use. Nonetheless, obtaining social rewards may be a reinforcement mechanism that maintains the link between social anxiety and alcohol consumption.     

A method for describing preschoolers' activity preferences

We designed a series of analyses to develop a measurement system capable of simultaneously recording the free-play patterns of 20 children in a preschool classroom. Study 1 determined the intermittency with which the location and engagement of each child could be momentarily observed before the accuracy of the measurement was compromised. Results showed that intervals up to 120 s introduced less than 10% measurement error. Study 2 determined the extent of agreement between two observers who simultaneously collected data for 20 children using 30-, 60-, 90-, and 120-s momentary time sampling (MTS) intervals. The three larger intervals resulted in high levels of interobserver agreement (above 90%), whereas the 30-s interval resulted in unacceptably low levels of agreement (less than 80%). By allowing observers to select from among the different MTS intervals via a datasheet array and then collect data with the chosen system, Study 3 determined observers' preferences for the remaining MTS intervals. Both data collectors preferred the 90-s MTS procedure. The sensitivity of the 90-s MTS procedure, which was shown to be accurate, reliable, and preferred, was then demonstrated by its use to describe activity preferences of a classroom of children in Study 4. This system identified high- and low-preference activities for individual children and revealed interesting patterns of response allocation by the group.     

父母依恋对大学生人际适应的影响

应用自编大学生父母依恋问卷、亲子联结问卷、自尊量表、信任他人量表、人际能力问卷、领悟社会支持量表对251名大学生施测,对自编依恋问卷进行构想效度分析,并建立父母依恋影响大学生人际适应的路径模型。结果表明：1）大学生父母依恋问卷构想效度良好;2）父母依恋对人际能力、社会支持感知既有显著的直接效应,又以自尊、信任他人为中介产生间接效应;3）父母依恋对大学生人际适应有显著影响,依恋的内部工作模型理论具有跨文化适应性。     

Perfectionism and causal attributions: An experience sampling approach

The primary aim of the study was to examine whether dimensions of perfectionism—socially prescribed perfectionism (SPP) and self-oriented perfectionism (SOP)—were related to causal attributions, and to what extent event-specific attributions about social interactions were related to mood. Experience sampling methodology was used to examine event-specific attributions about negative social interactions and mood in daily life. SPP and SOP had different relationships with trait attributional styles. Although neither SPP nor SOP were related to event-specific attributions, SOP moderated the covariation of negative attributions and sadness: higher scores on SOP were associated with a stronger relation between negative attributions and sadness. Additionally, SPP was positively related to the proportion of negative social interactions.     

Quantifying false positives in simulated events using partial interval recording and momentary time sampling with dual‐criteria methods

The dual‐criteria (DC) and conservative dual‐criteria (CDC) methods allow clinicians and researchers to quantify the occurrence of false‐positive outcomes within single‐case experimental designs. The purpose of the current study was to use these DC and CDC methods to measure the incidence of false positives with simulated data collected via discontinuous interval methods (i.e., momentary time sampling, partial‐interval recording) as a function of data series length. We generated event data to create 316,800 unique simulated data series for analysis. In Experiment 1, we evaluated how changes in relevant parameters (i.e., interval sizes, event durations, IRT‐to‐event‐run ratios) produced false positives with momentary time sampling procedures. We also assessed the degree that the CDC method produced fewer false positives than the DC method with simulated interval data. In Experiment 2, we used similar procedures to quantify the occurrence of false positives with partial‐interval recording data. We successfully replicated outcomes from previous research in the current study, though such results only highlight the generality of the procedures relating to false positive (and not false negative) outcomes. That is, these results indicate MTS and PIR may adequately control for false positives, but our conclusions are limited by a lack of data on power.     

运动觉、布局无关运动与路径整合

路径整合是空间导航的一个重要子领域。本研究采用了一种三角形完成任务的新变式来研究路径整合问题，发现在剥夺被试的视觉输入的前提下，去除被试部分运动觉后，其绩效有不同水平的下降；同时还发现在编码过程中与路径布局无关的不同方向旋转间并无显著性差异。此外，由于本研究是在室外空间中所做的现场研究，故得到的结果优于室内所做的经典研究，进而验证了前人的一个猜测。     

Dyadic judgments based on conflicting samples: The failure to ignore invalid input

The present research demonstrates a so far unrecognized impediment of group performance, metacognitive myopia (Fiedler, 2012). Judges and decision-makers follow the given samples of information uncritically and neglect the metacognitive assessment of the samples' validity. Applying this notion to dyadic judgments, we instructed dyads to jointly estimate conditional probabilities p (Win|A) and p (Win|B) of Lotteries A and B. One person per dyad experienced a valid sample (winning rates conditional on lotteries). The other person experienced an invalid, reverse sample (lotteries conditional on winning). Whereas valid samples provide unbiased estimates of lotteries' winning probabilities, invalid samples can greatly misrepresent the association of winning and lotteries (depending on lottery base rates). Across three experiments, metacognitive myopia—both at the individual and at the dyadic group level—prevented participants from discriminating valid and invalid samples. Group judgments were biased toward erroneous implications of invalid samples, reflecting an equality bias among unequal group members.     

Linking dimensions and dynamics in psychopathology research: An example using DSM-5 instruments

The DSM-5 includes two measures to assess dimensions of personality pathology (Personality Inventory for DSM-5; PID-5) and cross-cutting symptoms of psychopathology (DSM-5 Cross-cutting Symptom Measure; CCS). Few studies have evaluated these measures in an ecologically valid context. Participants (N = 248, student sample) completed self-report versions of the DSM-5 measures, and then completed a two-week daily diary of internalizing and externalizing outcomes. The CCS scales evidenced convergent and discriminant validity with these outcomes, PID-5 Negative Affectivity and Detachment were related to internalizing outcomes, and PID-5 Antagonism was related to externalizing outcomes. We also demonstrated the benefit of linking static dimensions to temporally-dynamic processes by examining how PID-5/CCS dimensions moderated the within-person associations among daily cognitive distortions and internalizing and externalizing outcomes.     

Associations of trait positive emotion regulation with everyday emotions: An experience sampling approach

Positive emotion regulation is important for enhancing psychological well-being. Previous studies have adopted a cross-sectional design to examine the relationships between positive emotion regulation strategies and psychological functioning. Relatively little is known about the role of positive emotion regulation strategies in positive and negative emotions in everyday life. This study examines associations between perceived capability of savoring and trait positive rumination and everyday emotions. Among 300 Hong Kong Chinese (age 18–77 years), perceived capability of savoring the moment and positive rumination predicted higher positive emotions during positive-valenced events. Perceived capability of savoring the moment predicted lower negative emotions during positive-valenced events and higher positive emotions during negative-valenced events. Positive links between positive valence ratings of events and positive emotions were stronger among individuals who reported higher levels of perceived capability of savoring through reminiscence and greater trait emotion-focused rumination. Positive links between negative valence ratings of events and negative emotions were significant only among individuals who reported low/medium levels of perceived capability of savoring through anticipation. These findings suggest that: (a) perceived capability of savoring and trait positive rumination are key mechanisms for increasing positive emotions and (b) perceived capability of savoring fosters adaptive adjustment to stress during negative events.