Repetitive negative thinking mediates the association between perfectionism and psychological distress

Our objective was to analyze the relationships between Repetitive negative thinking (RNT), perfectionism and psychological distress. Specifically we wanted to test if RNT mediates the relationship between perfectionism and psychological distress. 788 college students completed self-report questionnaires to evaluate perfectionism trait dimensions [Evaluative concerns (EC) and Positive strivings (PS)], RNT dimensions [Repetitive thinking (RT) and Cognitive interference and unproductivity (CIU)], perceived stress, and perceived support. Psychological distress was measured with the Profile of Mood States subscales: Depression (D), Tension–anxiety (TA), Anger–hostility (AH), Fatigue–inertia (FI) and Vigor–anxiety (VA). After controlling for perceived stress and support, perfectionism dimensions and RNT (particularly CIU) remained a significant predictors of psychological distress. CIU was a partial mediator of the relationship between EC and D, TA, AH, FI and VA and a full mediator of the relationship of PS with D and FI. Whereas the effect of negative perfectionism on emotional disturbances was potentiated by RNT, PS was only associated to it when high levels of RNT were also present. Showing that Positive striving effects on psychological distress may be a function of specific mediators, these results contribute to a better understanding of the nature of positive perfectionism.     

Family: Introductory paper

Changes in the family make it difficult to define any typical structure. What is most striking is the role of the child, henceforth the holder of certain recognized rights, within a group whose mutual relations are based on the notion of a contract. In this way, we can talk of a family citizenship, acting as the basis for citizenship in society.     

Bridging the Breach: Using Positive Affectivity to Overcome Knowledge Hiding after Contract Breaches

Abstract

With a basis in conservation of resources theory, this study investigates the relationship between employees’ exposure to perceived contract breaches and their job performance, while also considering the mediating role of knowledge hiding and the moderating role of positive affectivity. Multisource, three-wave data from employees and their peers in Pakistani organizations reveal that breaches in the psychological contract hinder job performance, because employees respond with an unwillingness to contribute valuable knowledge to execute their job tasks. This mediating role of knowledge hiding is mitigated if employees can draw from their own positive affectivity trait. This study accordingly identifies a key factor, intentional attempts to conceal knowledge requested by other members, that can backfire and make employees suffer doubly: from unfulfilled organizational promises and from lower performance. It also reveals how this risk might be contained, that is, by encouraging employees’ positive affect.     

Charting directions for a new research era: addressing gaps and advancing scholarship in the study of psychological contracts

ABSTRACT

The nature of work and the contexts in which firms operate have changed significantly in the many decades since the study of psychological contracts (PCs) at work began in earnest. These changes have altered the contours of the traditional employer-employee relationship and are key motivators of this Special Issue. We seek to chart new directions for PC research over the next decade by widening the theoretical and methodological lenses used to explore PC processes. In the introductory editorial we briefly outline the PC construct, overview the collected papers, and discuss the next exciting wave of PC research (exploring PC dynamics, PC counterparties, and the PC context) inspired by this collection.     

Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks

Convolutional neural networks (CNNs) are increasingly widely used in psychology and neuroscience to predict how human minds and brains respond to visual images. Typically, CNNs represent these images using thousands of features that are learned through extensive training on image datasets. This raises a question: How many of these features are really needed to model human behavior? Here, we attempt to estimate the number of dimensions in CNN representations that are required to capture human psychological representations in two ways: (1) directly, using human similarity judgments and (2) indirectly, in the context of categorization. In both cases, we find that low-dimensional projections of CNN representations are sufficient to predict human behavior. We show that these low-dimensional representations can be easily interpreted, providing further insight into how people represent visual information. A series of control studies indicate that these findings are not due to the size of the dataset we used and may be due to a high level of redundancy in the features appearing in CNN representations.     

When AI meets PC: exploring the implications of workplace social robots and a human-robot psychological contract

ABSTRACT

The psychological contract refers to the implicit and subjective beliefs regarding a reciprocal exchange agreement, predominantly examined between employees and employers. While contemporary contract research is investigating a wider range of exchanges employees may hold, such as with team members and clients, it remains silent on a rapidly emerging form of workplace relationship: employees’ increasing engagement with technically, socially, and emotionally sophisticated forms of artificially intelligent (AI) technologies. In this paper we examine social robots (also termed humanoid robots) as likely future psychological contract partners for human employees, given these entities transform notions of workplace technology from being a tool to being an active partner. We first overview the increasing role of robots in the workplace, particularly through the advent of sociable AI, and synthesize the literature on human–robot interaction. We then develop an account of a human-social robot psychological contract and zoom in on the implications of this exchange for the enactment of reciprocity. Given the future-focused nature of our work we utilize a thought experiment, a commonly used form of conceptual and mental model reasoning, to expand on our theorizing. We then outline potential implications of human-social robot psychological contracts and offer a range of pathways for future research.     

Socioeconomic and psychological correlates of postpartum depression at 6 months in Dhaka,Bangladesh

To current study aimed to estimate the point prevalence and identify correlates of postpartum depression (PPD) in a sample of mothers in Dhaka. A total of 235 participants from low- and middle-SES neighbourhoods in Dhaka completed the Edinburgh Postnatal Depression Scale (EPDS) and other assessments of socioeconomic and psychological factors at 24 weeks postpartum. Regression models were fit to explore potential correlates of PPD. The estimated prevalence of high PPD risk in the current sample is 24.3%. In multivariable linear regression models, recent life events, perceived stress and household resources (e.g., access to cooking gas, telephone, furniture, electricity, television, etc.) were significantly associated with PPD. The association of social support with PPD when controlling for other variables was sensitive to the choice of social support measure, highlighting an important methodological issue. The point prevalence of PPD among poor, urban mothers in Bangladesh ranges from 12.3 to 28.5%, with psychological risk factors and household resources as strong correlates.     

Are parents and children equal partners?

It is a fundamental mistake, when dealing with education, to consider parents and children as equal partners. They are not, and the notion of a contract must be refuted. There is also, however, a fundamental difficulty in the impossibility of defining standards in educational matters.     

Exploring temporal changes in obligated and delivered inducements: a dynamic systems perspective

ABSTRACT

The psychological contract (PC) is a dynamic process, where employees actively and passively adjust their perceptions of obligated and delivered inducements. In this study, we focus on the temporal changes in employee’s perceptions of obligated and delivered inducements and show that these micro-level dynamics take place at every stage through the PC process. We introduce a dynamic systems perspective to understand these temporal fluctuations. We show that employees’ perceptions of obligated and delivered inducements interact with each other and form a dynamic system. We compared daily and weekly time-frames and found that the daily time-frame maximizes the temporal fluctuations of employees’ perceptions of obligated and delivered inducements, whereas the weekly frame captures more complex trajectories. Furthermore, inducements that are explicitly communicated demonstrate more temporal fluctuations than inducements that are not explicitly communicated. We advance PC theory by providing more understanding of the temporal dynamics of employees’ perceptions of obligated and delivered inducements. We provide practical guidelines for the choice of an ideal time-frame to study employees’ perceptions of obligated and delivered inducements, depending on the specific inducements and the aim of the research. We propose that researchers further integrate dynamic systems theory into PC models.