150 Psychologie
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We tested 6–7-year-olds, 18–22-year-olds, and 67–74-year-olds on an associative memory task that consisted of knowledge-congruent and knowledge-incongruent object–scene pairs that were highly familiar to all age groups. We compared the three age groups on their memory congruency effect (i.e., better memory for knowledge-congruent associations) and on a schema bias score, which measures the participants’ tendency to commit knowledge-congruent memory errors. We found that prior knowledge similarly benefited memory for items encoded in a congruent context in all age groups. However, for associative memory, older adults and, to a lesser extent, children overrelied on their prior knowledge, as indicated by both an enhanced congruency effect and schema bias. Functional Magnetic Resonance Imaging (fMRI) performed during memory encoding revealed an age-independent memory x congruency interaction in the ventromedial prefrontal cortex (vmPFC). Furthermore, the magnitude of vmPFC recruitment correlated positively with the schema bias. These findings suggest that older adults are most prone to rely on their prior knowledge for episodic memory decisions, but that children can also rely heavily on prior knowledge that they are well acquainted with. Furthermore, the fMRI results suggest that the vmPFC plays a key role in the assimilation of new information into existing knowledge structures across the entire lifespan. vmPFC recruitment leads to better memory for knowledge-congruent information but also to a heightened susceptibility to commit knowledge-congruent memory errors, in particular in children and older adults.
An optimized Bayesian hierarchical two-parameter logistic model for small-sample item calibration
(2019)
Accurate item calibration in models of item response theory (IRT) requires rather large samples. For instance, N > 500 respondents are typically recommended for the two-parameter logistic (2PL) model. Hence, this model is considered a large-scale application, and its use in small-sample contexts is limited. Hierarchical Bayesian approaches are frequently proposed to reduce the sample size requirements of the 2PL. This study compared the small-sample performance of an optimized Bayesian hierarchical 2PL (H2PL) model to its standard inverse Wishart specification, its nonhierarchical counterpart, and both unweighted and weighted least squares estimators (ULSMV and WLSMV) in terms of sampling efficiency and accuracy of estimation of the item parameters and their variance components. To alleviate shortcomings of hierarchical models, the optimized H2PL (a) was reparametrized to simplify the sampling process, (b) a strategy was used to separate item parameter covariances and their variance components, and (c) the variance components were given Cauchy and exponential hyperprior distributions. Results show that when combining these elements in the optimized H2PL, accurate item parameter estimates and trait scores are obtained even in sample sizes as small as N = 100. This indicates that the 2PL can also be applied to smaller sample sizes encountered in practice. The results of this study are discussed in the context of a recently proposed multiple imputation method to account for item calibration error in trait estimation.
In view of the aging and dejuvenation of the working population and the expected shortages in employees’ skills in the future, it is of utmost importance to focus on older workers’ employability in order to prolong their working life until, or even beyond, their official retirement age. The primary aim of the current study was to examine the relationship between older workers’ employability (self-)perceptions and their intention to continue working until their official retirement age. In addition, we studied the role of potential antecedents of their perceived employability at three different levels: training and education in current expertise area as well as in an adjacent expertise area (individual level factor), learning value of the job (job level factor), and organizational career management practices (organizational level factor). Data were collected by means of e-questionnaires that were distributed among two groups of Dutch older (45-plus) white collar workers. The samples consisted of 223 employees of an insurance company, and 325 university workers, respectively. Our research model was tested separately in each sample using Structural Equation Modeling. We controlled for effects of respondents’ (self-)perceived health and (self-)perceived financial situation. Similar results were found for both samples. First, the relationship of perceived employability with the intention to continue working until one’s retirement age was positive, whereas the relationship between a perceived good financial situation with the intention to continue working until one’s retirement age was negative. Secondly, as regards the potential antecedents, results showed that the learning value of the job was positively related to perceived employability. In addition, an employee’s perception of good health is a relevant correlate of perceived employability. So, whereas perceived employability contributes to the intention to continue working until one’s retirement age, a good financial situation is a push factor to retire early. In order to promote the labor participation of older workers, this study indicates that organizations should focus on the learning possibilities that are inherent to one’s job rather than on providing additional training or career management. Further research is needed to test the generalizability of our results to other samples.
The information and communication technology (ICT) sector within the Netherlands is a major driver of globalization, the country’s economic growth and innovation. The Dutch ICT sector’s performance is increasingly becoming dependent upon employee driven innovations in order to address the needs of the sectors they service. In other words, the ICT sector within the Netherlands is largely dependent upon the performance and innovative capacity of its employees; both of which are functions of employee engagement. Given the high demand, and low supply of talent within this sector, ICT organizations need to develop innovative ways to enhance the performance capacities of its people. Developing an engaged and highly innovative workforce seems to be an efficient way to activate employees’ performance. As such, the aim of this paper was to investigate the mediating function of employee driven innovative work behaviors in the relationship between work engagement and task performance within the a Dutch ICT consulting firm. A cross-sectional survey-based research design, employing a census-based sampling method, was employed to obtain data from a global ICT consulting firm within the Netherlands (n = 232). The Utrecht Work Engagement Scale, the Innovative Work Behavior Scale and the Task Performance Scale was used to assess the associative subjective experiences of ICT employees. The results showed that work engagement is a significant driver for innovative work behaviors, which in turn affects the task performance of employees. Further, innovative work behaviors are therefore important to translate the engaging energies of employees into performance. This paper discusses the theoretical and practical implications of these findings.
This study investigated whether prompting children to generate predictions about an outcome facilitates activation of prior knowledge and improves belief revision. 51 children aged 9–12 were tested on two experimental tasks in which generating a prediction was compared to closely matched control conditions, as well as on a test of executive functions (EF). In Experiment 1, we showed that children exhibited a pupillary surprise response to events that they had predicted incorrectly, hypothesized to reflect the transient release of noradrenaline in response to cognitive conflict. However, children's surprise response was not associated with better belief revision, in contrast to a previous study involving adults. Experiment 2 revealed that, while generating predictions helped children activate their prior knowledge, only those with better inhibitory control skills learned from incorrectly predicted outcomes. Together, these results suggest that good inhibitory control skills are needed for learning through cognitive conflict. Thus, generating predictions benefits learning – but only among children with sufficient EF capacities to harness surprise for revising their beliefs.
Members of conflicting groups experience threats to different identity dimensions, resulting in the need to restore the aspect of identity that was threatened. Do these needs translate into specific goals in social interactions? In the present research, we examined the hypotheses that (1) experiencing one’s ingroup as illegitimately disadvantaged or victimized arouses agentic goals (to act and appear assertive and confident) when interacting with the advantaged or victimizing group, while (2) experiencing one’s ingroup as illegitimately advantaged or perpetrating transgressions arouses communal goals (to act and appear warm and trustworthy) when interacting with the disadvantaged or victimized group. Study 1 (N = 391) generally supported both hypotheses across diverse intergroup contexts involving gender, national/ethnic, and consumer identities. Study 2 (N = 122) replicated this pattern in a context of occupational identities. Study 2 further showed that the effect of ingroup role on agentic and communal intergroup goals was not moderated by participants’ general dispositional preferences for agentic and communal goals in interpersonal interactions, thus demonstrating how ingroup role exerts a distinct and robust influence on goals for interactions with other groups. Theoretical and practical implications are discussed.
Background: A growing number of studies are questioning the validity of current DSM diagnoses, either as "discrete" or distinct mental disorders and/or as phenotypically homogeneous syndromes. In this study, we investigated how symptom domains in patients with a main diagnosis of obsessive-compulsive disorder (OCD), panic disorder (PD) and social anxiety disorder (SAD) coaggregate. We predicted that symptom domains would be unrelated to DSM diagnostic categories and less likely to cluster with each other as severity increases.
Methods: One-hundred eight treatment seeking patients with a main diagnosis of OCD, SAD or PD were assessed with the Dimensional Obsessive-Compulsive Scale (DOCS), the Social Phobia Inventory (SPIN), the Panic and Agoraphobia Scale (PAS), the Anxiety Sensitivity Index-Revised (ASI-R), and the Beck Depression and Anxiety Inventories (BDI and BAI, respectively). Subscores generated by each scale (herein termed "symptom domains") were used to categorize individuals into mild, moderate and severe subgroups through K-means clusterization and subsequently analysed by means of multiple correspondence analysis.
Results: Broadly, we observed that symptom domains of OCD, SAD or PD tend to cluster on the basis of their severities rather than their DSM diagnostic labels. In particular, symptom domains and disorders were grouped into (1) a single mild "neurotic" syndrome characterized by multiple, closely related and co-occurring mild symptom domains; (2) two moderate (complicated and uncomplicated) "neurotic" syndromes (the former associated with panic disorder); and (3) severe but dispersed "neurotic" symptom domains.
Conlusion: Our findings suggest that symptoms domains of treatment seeking patients with OCD and anxiety disorders tend to be better conceptualized in terms of severity rather than rigid diagnostic boundaries.
Attachment theory is commonly used to investigate children’s psychosocial development. To demonstrate cultural variability and to advance the idea of attachment as a collective resource, we assessed children’s attachment networks during middle childhood among the Nseh, a Cameroonian clan with distinct concepts of family and childhood. Using photo elicitation interviews, we used an exploratory approach to investigate the structural and functional composition of these networks and to generate a comprehensive overview. Participants were 11 children (six girls and five boys), aged 6 to 10 years. Children took photos of individuals who were important to them and with whom they felt safe, comfortable, and at ease. Then, in follow-up interviews they were asked to characterize their attachment figures on sociostructural dimensions and to elaborate how those individuals made them feel comfortable and safe. Transcripts of the interviews were coded using ethnographic strategies. Initial descriptive codes were analyzed concerning key terms, semantic relationships, and their context of meaning, before assigning higher level codes to generate distinct main categories of functionality. Children described attachment networks that were structurally adapted to concepts of social ties and interactional norms of the clan. Concerning their functionality, children differentiated between peers, responsible for overt emotional needs, and adults, providing nutritional care. We conclude that this pattern reflects sources of security and concepts of care of the distinct developmental environment. We discuss the importance of context-specific and comprehensive approaches to attachment, moving beyond Eurocentric monotropic concepts, with the goal of developing a complex understanding of childhood across ecocultural settings.
Problematisation: In recent years, psychology has been going through a crisis of sorts. Research methods and practices have come under increased scrutiny, with many issues identified as negatively contributing to low replicability and reproducibility of psychological research.
Implications: As a consequence, researchers are increasingly called upon to overhaul and improve their research process. Various stakeholders within the scientific community are arguing for more openness and rigor within industrial and organisational (I-O) psychological research. A lack of transparency and openness further fuels criticisms as to the credibility and trustworthiness of I-O psychology which negatively affects the evidence-based practices which it supports. Furthermore, traditional gate-keepers such as grant agencies, professional societies and journals, are adapting their policies, reflecting an effort to curtail these trends.
Purpose: The purpose of this opinion paper is, therefore, to stimulate an open dialogue with the South African Journal of Industrial Psychology (SAJIP) contributing authors, its editorial board and readership about the challenges associated with the replication crisis in psychology. Furthermore, it attempts to discuss how the identified issues affect I-O psychology and how these could be managed through open science practices and other structural improvements within the SAJIP.
Recommendations: We enumerate several easily implementable open science practices, methodological improvements and editorial policy enhancements to enhance credibility and transparency within the SAJIP. Relying on these, we recommend changes to the current practices that can be taken up by researchers and the SAJIP to improve reproducibility and replicability in I-O psychological science.