The contribution of self-compassion in the relationship between social support and posttraumatic growth

IntroductionDespite well-established evidence on the relationship between social support and posttraumatic growth (PTG), there remains a paucity of evidence regarding the mechanism that underlie this relationship.ObjectiveThis study examined the relationship between social support and PTG, while exploring self-compassion as an intermediatory factor in this association.MethodA cross-sectional study with 447 college students was conducted in Trabzon, Turkey. The data were analyzed using Structural Equation Modelling (SEM).ResultsResults indicated that perceived social support and self-compassion were associated with PTG. Furthermore, a significant indirect effect between social support and PTG via self-compassion emerged.ConclusionBased on the study findings, tailored intervention programs targeting self-compassion and perceived social support in trauma-exposed young adults may be useful for promoting posttraumatic growth.     

The role of trait emotional intelligence in academic performance during the university transition: An integrative model of mediation via social support,coping, and adjustment

The authors propose conceptual models linking trait emotional intelligence (TEI) with achievement both directly and indirectly via perceived social support (PSS), engagement coping (EC), and adjustment, in the context of the university transition. The models were tested in a multiwave design with a sample of incoming Australian undergraduates (N = 470). In structural equation analyses, TEI was found to be a direct predictor of higher PSS and the greater use of EC strategies. Further, mediation analyses revealed that TEI was indirectly associated with academic adjustment via EC and psychological adjustment via EC and PSS operating in parallel. TEI was also found to be indirectly associated with achievement via EC and academic adjustment linked serially in a three-path mediated sequence. These direct and indirect relations were robust when controlling for known confounding influences. The empirically supported mediating processes extend the literature by elucidating some of the pathways through which TEI is linked with better adjustment and achievement.     

The perceptions of social context (PoSC): Introducing the PoSC scale

IntroductionThe Perception of Social Context refers to the perceptions that workers have of (1) the immediate supervisor, (2) the colleagues, and (3) top management of their organization.ObjectiveThe purpose of the present paper is to introduce the Perceptions of Social Context (PoSC) scale, an instrument for assessing workers’ perception of their social context.MethodWe used three studies (N total = 960) to test the internal, external, convergent, and predictive validity of the PoSC, as well as its reliability.ResultsIn Study 1, the hypothesized three-factor structure was empirically tested and supported by means of exploratory structural equation modeling. Study 2 provided further support for the factorial structure of the scale and evidence for its convergent and external validity in relation to important organizational variables. Study 3 provided evidence for the predictive validity with respect to job satisfaction and performance.ConclusionEstablished validity allows the PoSC scale to be used to specifically detect behaviors enacted by key social constituents and thus to plan specific and therefore more effective interventions.     

The value(s) of information on social network sites: The role of user personality traits

PurposeThe present research examines the relationship between personality of social network site (SNS) users and the perceived value of the information they seek. Building on the Reasoned Action Approach, personality is conceptualized as a background factor influencing people's attitude towards the information they search for on SNS.Design/methodology/approachData were collected using a face-to-face survey among Facebook users (n = 311). Personality traits were assessed based on the Big Five dimensions. Statistical analyses estimate the effects of personality traits on the various values of the information sought on SNS. A three-step procedure was followed to standardize the independent variables and create interaction variables for the moderation test.FindingsThe results support the predictions that certain personality traits (e.g., conscientiousness and extraversion), as described by the FFM framework, are related to particular facets of information value (economic value and social value respectively). The effect of personality was moderated by participants’ Facebook usage intensity. Usage intensity dampens the relationship between agreeableness and functional value of information, and strengthens the negative relationship between openness-to-experience and psychological value of information.Practical implicationsThe personality-information value relationships found can help social media practitioners and marketers shape the content and appeal of the messages communicated to their audience on SNS, and tailor marketer-customer interactions in an engaging way.Originality/valueThe present research contributes to understanding the pivotal role of personality in evaluating the information people seek on social networks. It also adds to the literature regarding FFM and social media usage by supporting the notion that the Big Five personality traits predict value aspects of information that people pursue in the course of search behavior on Facebook.Article classificationResearch paper.     

The usefulness of the averaging rule in consumer studies: A partial replication with an eye at neuroeconomics

IntroductionInformation Integration Theory models how different pieces of information are combined by people into unified judgments. Its contribution to decision-making and to consumer studies distinctly relies on a set of empirically established algebraic models for reflecting the cognitive structure of judgments and decisions (cognitive algebra). Among these, the averaging model has particular properties, allowing for operationally distinguishing between the elusive notions of psychological value and importance.ObjectivesThe main goal of the paper is to support the applicability and robustness of the averaging model in consumer studies, by partially replicating a published study that documented averaging. Additionally, it tentatively explores potential contributions of the averaging model to neuroeconomics, by simultaneously recording ratings and electroencephalographic (EEG) responses.MethodsTwenty-five participants rated on a satisfaction scale (format 0-20) a set of experimental conditions arising from the full factorial combination of three levels of sneakers’ branded models and three levels of purchase prices, expanded with conditions in which brands were presented in isolation (sub-design). Simultaneous electrophysiological monitoring was performed with an EEG mask (international system 10-20, referenced to the mastoid apophyses). Segmentation and processing of evoked response potentials were done in Matlab. Both ratings and magnitudes of event-related potentials (ERP) components were analyzed through inspection of the factorial plots with the support of repeated-measures ANOVAs.ResultsThe rating responses revealed an averaging model, with equal weighting in a cluster of subjects and differential weighting in another, but more overall importance of the branded model variable in both cases. The only tentative suggestions of relevant neural correlates involved the LPP and P300 components of the ERP and a reduced number of EEG channels (P4, P3, Fz and T3).ConclusionsThe averaging model is robustly applicable and useful in consumer studies, both for measurement (value and importance) and consumer segmentation (cognitively based clusterization) purposes. While calling attention to the later components of the ERP at specific topographies, the paucity of EEG results suggests that ERP peak amplitude may not be a useful measure for the purpose. Apart from that, a functional measurement approach to neuroeconomics seems feasible in principle and an explorable path in the future.     

Reading and related skills in Grades 6, 7, 8 and 9: French normative data from EVALEC

IntroductionTo appropriately assess reading difficulties, tests designed according to an appropriate theoretical framework and based on normative data are required.ObjectiveWe used EVALEC (Sprenger-Charolles, Colé, Béchennec, & Kipffer-Piquard, 2005) to collect data on the word-level reading skills and reading-related skills (phonemic awareness, phonological short-term memory, and rapid naming) of middle school children (Grades 6 to 9, about 80 in each grade).MethodIn the tests focused on word-level reading skills, the effects of regularity (regular vs. irregular words), lexicality, and length (short vs. long irregular words and pseudowords) were examined. Accuracy and processing times were recorded for all tests.ResultsThe effects of both regularity and lexicality were significant, whatever the measure and independently of grade. Both accuracy and speed were lower for longer pseudowords, whereas length did not have a significant effect on irregular word latencies and, surprisingly, long irregular words were read more accurately than short ones. Reading level as assessed by a standardized test (Lefavrais, 2005) was not predicted by phonological short-term memory; rapid naming (color names) and phonemic awareness were both predictors but, in both cases, only response times predicted reading level.ConclusionThese results, and particularly those from the reading tasks, are discussed in relation to models of written-word recognition developed to account for the reading of multisyllabic items (Perry, Ziegler, & Zorzi, 2010) in orthographies shallower than English (Perry, Ziegler, & Zorzi, 2014).