Temporal dynamics of need satisfaction and need frustration. Two sides of the same coin?

We study the dynamics of need satisfaction and need frustration by examining how need satisfaction and need frustration change over time and how these changes relate to changes in motivation. To investigate this, volunteers were assessed daily during a delineated activity, resulting in a total sample of 77 volunteers and 467 completed daily diaries. Bayesian confirmatory factor analysis on the within-person level confirmed a bifactor solution: autonomy, competence, and relatedness were distinguished by three specific factors, but the majority of variance was explained by two strongly correlated (need satisfaction and need frustration) factors. The strong correlation between need satisfaction and need frustration further translated in the development of their relationship over time. That is, Bayesian latent growth curve modelling revealed a simultaneous, yet opposite, growth curve. Contrary to our expectations, neither of them could be related to behavioural internalization or externalization. These results imply that, at the within-person level, momentary need satisfaction and frustration are difficult to distinguish, and affecting one may automatically affect the other. Also, the relationships within the self-determination framework, such as the proposed link between need satisfaction and behavioural internalization may be better reframed with attention to the time-frame in which they occur.     

Vicarious trauma: The psychological impact of working with survivors of trauma for South African psychologists

Traumatic events are highly prevalent in South African society and psychologists who work with survivors of trauma have been identified as particularly at risk of being adversely affected by their work, and experiencing vicarious trauma. This study aimed to explore the experiences of a group of South African psychologists who work predominantly with trauma survivors. Individual semi-structured interviews were conducted with six psychologists (females = 67%). The predominant type of trauma encountered by participants in clinical practice was interpersonal trauma in the form of physical and sexual abuse (83%). Data were analysed using thematic analysis. All participants reported symptoms of vicarious trauma including disruption in cognitive schemas, symptoms characteristic of post-traumatic stress disorder, and somatic symptoms. Participants also reported vicarious post-traumatic growth including an enhanced sense of interpersonal connectedness and positive changes in their philosophy of life and self-perceptions. The findings serve to sensitise psychologists to the impact of working with trauma survivors so as to enhance the efficiency of psychological service delivery to traumatised populations.     

Viewing exercise goal content through a person-oriented lens: A self-determination perspective

The present study examined profiles of exercise goal content and the associations with need satisfaction, motivation regulation and exercise behavior, combining variable-centered and person-centered analytical approaches. The participants were 1084 (279 men and 805 women) Swedish adults, aged between 18 and 78 years, that were all active members of an Internet-based exercise program. Latent profile analysis (LPA) and structural equation modeling (SEM) were used to analyze the data. In SEM analysis intrinsic goals were related to need satisfaction and autonomous motivation, whereas extrinsic goals were most strongly associated with controlled motivation. LPA revealed five unique latent classes of goal content. These five classes differed in need satisfaction, motivation regulation and exercise behavior, with classes being characterized by more intrinsic goal profiles reporting higher need satisfaction and autonomous motivation. The results are discussed from a self-determination theory perspective and the benefits of using both variable and person-centered analytical approaches are highlighted.     

Electrodeposition,assisted by abrasive polishing,of crack-free hard chromium with compressive stress

Crack networks and residual tensile stresses are general characteristics of electrodeposited hard chromium coatings. In this paper, crack-free hard chromium coatings with compressive stresses have been obtained by an electrodeposition process assisted by abrasive polishing. The deposited coatings had mirror-like smooth surfaces, values of hardness in the range 800–1000 HV and compressive stresses between 1000 and 1600 MPa. A model involving hydrogen disentanglement from the lattice is proposed to explain the effects of abrasive polishing on the complete elimination of cracks and the generation of a compressive stress. This explanation is discussed in terms of the variations in properties of the coating with the rotation speed of the cathode.     

Journeys With People Who Have Dementia: Connecting and Finding Meaning in the Journey

This article begins with a reflective journey with one person who was diagnosed with early onset dementia. It then turns to reflect on the subsequent journey of research with other people who have dementia and where they find meaning in life, through the process of spiritual reminiscence. The article views dementia through a theological lens that sees those who have dementia as people made in God’s image and the implications this has for the lives of those living with dementia and those who care for them. One of the important findings from research conducted in the small group process was that meaning was almost synonymous with relationship and connectedness for participants, just as it is for people who don’t have dementia.     

Obsessive Compulsive Symptoms Predict Posttraumatic Growth: A Longitudinal Study

Although posttraumatic growth (PTG) has received growing attention, the relationship between PTG and distress remains unclear. This longitudinal study examines the relationship between posttraumatic obsessive-compulsive (OC) symptoms and PTG. Israeli veterans were followed over 17 years using self-report questionnaires of OC symptoms, posttraumatic stress disorder (PTSD), and PTG. Hierarchical regression analyses demonstrated that OC symptoms predicted PTG, even when initial PTG levels and PTSD symptoms were controlled for in the combatants group. These preliminary findings suggest that OC symptoms may play an important role in facilitating psychological growth. Future research is warranted to explore the mechanisms responsible for this relationship.     

Latent semantic analysis cosines as a cognitive similarity measure: Evidence from priming studies

In distributional semantics models (DSMs) such as latent semantic analysis (LSA), words are represented as vectors in a high-dimensional vector space. This allows for computing word similarities as the cosine of the angle between two such vectors. In two experiments, we investigated whether LSA cosine similarities predict priming effects, in that higher cosine similarities are associated with shorter reaction times (RTs). Critically, we applied a pseudo-random procedure in generating the item material to ensure that we directly manipulated LSA cosines as an independent variable. We employed two lexical priming experiments with lexical decision tasks (LDTs). In Experiment 1 we presented participants with 200 different prime words, each paired with one unique target. We found a significant effect of cosine similarities on RTs. The same was true for Experiment 2, where we reversed the prime-target order (primes of Experiment 1 were targets in Experiment 2, and vice versa). The results of these experiments confirm that LSA cosine similarities can predict priming effects, supporting the view that they are psychologically relevant. The present study thereby provides evidence for qualifying LSA cosine similarities not only as a linguistic measure, but also as a cognitive similarity measure. However, it is also shown that other DSMs can outperform LSA as a predictor of priming effects.     

Ethnoracial comparisons in anxiety and depression outcomes among Native Hawaiian and Pacific Islander college students

We explored differences in distress scores at intake as well as the change in anxiety and depression scores over the course of 12 therapy sessions for Native Hawaiian and Pacific Islander (NHPI) college students. Data were collected from the Center for Collegiate Mental Health (N = 256,242). Results support the notion that NHPI college students experience anxiety and depression in therapy differently from other ethnic groups with moderate-to-large magnitudes of effect.     

Variables latentes et propriétés mentales : pour une épistémologie affirmée pragmatiste et réaliste

The reliability of models with latent variables is questioned by different authors: what is the ontology of mental properties? How to integrate the complex of mental processes with latent variables? All these debates raise the question of the legitimacy of latent variables as methodological approach comparatively to new approaches such as Network analysis. By clearly posing the ontological nature of mental properties as emergent properties of mental processes, and by clearly posing a theory of pragmatist and realistic knowledge, our work seeks to show that latent variables are efficient approaches for inferring mental properties.     

Rater Model Using Signal Detection Theory for Latent Differential Rater Functioning

Differential rater functioning (DRF) occurs when raters show evidence of exercising differential severity or leniency when scoring examinees within different subgroups. Previous studies of DRF have examined rater bias using manifest variables (e.g., use of covariates) to determine the subgroups. These manifest variables include gender and the ethnicity of the examinee. For example, a rater may score males more severely. Ideally, each rater’s severity should be invariant across subgroups. This study examines DRF in the context of latent subgroups that classify possible sources of DRF based on raters’ scoring behavior rather than manifest factors. An extension of the latent class signal detection theory (LC-SDT) model for identifying DRF is proposed and examined using real-world data and simulations. Results from real-world data show that the signal detection approach leads to an effective method to identify latent DRF. Simulations with varying sample sizes and conditions of rater precision were shown to recover parameters at an adequate level, supporting its use to identify latent DRF in large-scale data. These findings suggest that the DRF extension of the LC-SDT can be a useful model to examine characteristics of raters and add information that can aid rater training.