Survival of the selfish: Contrasting self-referential and survival-based encoding

Processing information in the context of personal survival scenarios elicits a memory advantage, relative to other rich encoding conditions such as self-referencing. However, previous research is unable to distinguish between the influence of survival and self-reference because personal survival is a self-referent encoding context. To resolve this issue, participants in the current study processed items in the context of their own survival and a familiar other person’s survival, as well as in a semantic context. Recognition memory for the items revealed that personal survival elicited a memory advantage relative to semantic encoding, whereas other-survival did not. These findings reinforce suggestions that the survival effect is closely tied with self-referential encoding, ensuring that fitness information of potential importance to self is successfully retained in memory.     

A Music Projective Technique

Twenty college students and twenty hospitalized patients diagnosed as schizophrenic, equated for age, sex, and intelligence, were told to tell a story to sixteen successive pre-recorded excerpts of music. Tests of reliability indicated that the Ss' reaction times and rates of verbalization were stable from music excerpt to excerpt and from test to retest. Interrater reliabilities of judgments concerning verbal content of responses were acceptable. Analyses of variance indicated the hospitalized group had longer reaction times before verbalization to the music stimulus, spoke less during the music, but more during the interim period between music excerpts. The hospitalized group used significantly less human content and visual imagery, but significantly more animal content than the college group. In general, reaction time was quicker to fast tempo music than slow tempo music, and fast tempo music evoked happier more outgoing themes than slow tempo music. Stories told by the hospitalized group were often highly inappropriate vis-a-vis music demands. The instrument clearly differentiated groups.     

How psychological resources facilitate adaptation to organizational change

The purpose of this 1-year follow-up study among 580 police officers is to investigate whether identity-related resources are positively related to adaptive behaviour during times of organizational change. Combining the social identity perspective with resources theories, we hypothesized that leader–member exchange (LMX) and personal resources (meaning-making and organization-based self-esteem) are positively related over time. In addition, we hypothesized that resources captured before change implementation, show a positive relationship with adaptivity captured during change. Structural equation modelling analyses showed that LMX and personal resources were positively related. Further, all T1 resources were positively related to T2 adaptivity. The study emphasizes the importance of managing identity-related resources during turbulent times, in order to foster behavioural adaptation to change.     

The role of executive processes in prospective memory tasks

Prospective remembering refers to remembering and acting on behavioural intentions. Three experiments tested the hypothesis that prospective remembering requires the availability of executive processes. It was expected that this is more important when intentions are stated in categorical terms. Type of instruction (specific versus categorical), typicality of the cue in relation to the category specified, and executive load were manipulated. Results showed a general benefit of specific instructions. Furthermore, with categorical instructions, performance was better with typical cues. Although the data suggested that executive processes are responsible for the processing of cues, the load manipulation had no significant effect on the prospective memory measure. Thus, no evidence was found for the hypothesis that prospective remembering requires the availability of executive processes. It is argued that it is a matter of strategic choice whether executive processes are deployed: One does not need to monitor for cues but can choose to rely on bottom‐up processes. Monitoring may be sufficient, but not necessary for successful prospective remembering.     

Intentional artificial grammar learning: When does it work?

Actively searching for the rules of an artificial grammar has often been shown to produce no more knowledge than memorising exemplars without knowing that they have been generated by a grammar. The present study investigated whether this ineffectiveness of intentional learning could be overcome by removing dual task demands and providing participants with more specific instructions. The results only showed a positive effect of learning intentionally for participants specifically instructed to find out which letters are allowed to follow each other. These participants were also unaffected by a salient feature. In contrast, for participants who did not know what kind of structure to expect, intentional learning was not more effective than incidental learning and knowledge acquisition was guided by salience.     

Analysing repeated measures data in cognitive research: A comment on regression coefficient analyses

Cognitive psychologists often make use of regression coefficient analyses to analyse repeated measures data, as proposed by Lorch and Myers (1990 Lorch, R. F. and Myers, J. L. 1990. Regression analyses of repeated measures data in cognitive research. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16: 149–157. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). In this paper, it is demonstrated that in case this procedure is applicable and the data are balanced, using hierarchical linear models gives the same results after one single analysis. In addition, the hierarchical linear model approach is more flexible and has a broader applicability, for example including nonbalanced designs. Despite the relative complexity of the approach, we therefore recommend cognitive researchers considering the use of these models to analyse repeated measures data.     

The role of textual semantic constraints in knowledge-based inference generation during reading comprehension: A computational approach

The present research adopted a computational approach to explore the extent to which the semantic content of texts constrains the activation of knowledge-based inferences. Specifically, we examined whether textual semantic constraints (TSC) can explain (1) the activation of predictive inferences, (2) the activation of bridging inferences and (3) the higher prevalence of the activation of bridging inferences compared to predictive inferences. To examine these hypotheses, we computed the strength of semantic associations between texts and probe items as presented to human readers in previous behavioural studies, using the Latent Semantic Analysis (LSA) algorithm. We tested whether stronger semantic associations are observed for inferred items compared to control items. Our results show that in 15 out of 17 planned comparisons, the computed strength of semantic associations successfully simulated the activation of inferences. These findings suggest that TSC play a central role in the activation of knowledge-based inferences.     

The Factor Structure of the Figural Torrance Tests of Creative Thinking: A Meta-Confirmatory Factor Analysis

To investigate the factor structure of the Figural Torrance Tests of Creative Thinking (Figural TTCT), a meta-confirmatory factor analysis was performed. A sample of 33 correlation matrices from 26 studies (N_individuals = 6,982) was included in the meta-analysis. Four different factor models previously presented in the literature were tested to determine which model fits the data best. The results supported a 2-factor structure model in which fluency and originality subscales loaded on the innovative factor; elaboration, abstractness of titles, and resistance to premature closure subscales loaded on the adaptive factor. Implications, limitations, and suggestions for future research are discussed.     

Measuring adaptability demands of jobs and the adaptability of military and civilians

Jobs within the military and in civil society differ in character and requirements. It is assumed that differences in job types both within civil and military domains require different dimensions of adaptability competency. The present study investigates this assumption. The Dutch Adaptability Dimensions And Performance Test (D-ADAPT) was used to measure both the adaptability demands of jobs, and of self-assessed adaptability competency of employees. In addition, the predictive value of certain personality traits (openness, neuroticism, and conscientiousness) and other relevant personal characteristics (cognitive flexibility, learning goal orientation) on various adaptability dimensions was explored. Military personnel were found to estimate their adaptability competency as higher than civilians did. With respect to the civilian jobs, the adaptability demands varied across job types. This was not found in the set of military jobs, possibly due to a smaller variety of jobs included. This study also shows that a variety of personal characteristics predict different dimensions of adaptability. Cognitive flexibility was found to be the best predictor for adaptability in general. Openness turned out to be a good predictor within the civilian group, whereas neuroticism was a better predictor within the military group. Results of this study contribute to a better understanding of work adaptability and influencing personality characteristics. Practical implications for selection and training of personnel can be derived, based on the acquisition of adaptability competency that matches the type of job.     

The Argumentative Reconstruction of Multimodal Discourse, Taking the ABC Coverage of President Hu Jintao’s Visit to the USA as an Example

This paper addresses the question how to analyze multimodal public discourse in such a way that the resulting reconstruction of the rhetor’s accountability either obliges the rhetor to acknowledge the argumentative reconstruction as valid or to refute its validity in a meta-discussion. This is a challenge for discourse theory as well as for argument theory because multimodal discourse seems far removed from the ‘standard’ propositional format of an argument. We argue that multimodal discourse should be analyzed as a coherent and relevant discourse, assuming the possibility of instant interactions between all modes. We introduce a method that allows us to account for an argumentative reconstruction in a systematic way. We illustrate our method by analyzing the ABC news item titled Hu Jintao Visit: Economics and Panda Bears of January 20, 2011, holding ABC news as a rhetor accountable for several far reaching standpoints that are implied in the multimodal format.