Interestingness—A Neglected Variable in Discourse Processing

Symptomatic of a contemporary concern with affective factors in cognitive processing, a corpus of research is now emerging on the role of interestingness in discourse processing. This research has concentrated on narrative prose and has adopted a structural approach, arguing for the centrality of event and discourse structure in producing an affect like interest. The authors point out that this approach considers only one type of interest—knowledge-triggered—to the exclusion of another important type—value-triggered. A more comprehensive understanding of interest will only be achieved by researching other genres, such as exposition, and by considering the multiple sources of interest-producing conditions. We suggest the notion of “informational significance” as an inclusive term, and underline the need for a process-based understanding of interest.     

Accounting for Missing Correlation Coefficients in Fixed-Effects MASEM

Meta-analytic structural equation modeling (MASEM) is increasingly applied to advance theories by synthesizing existing findings. MASEM essentially consists of two stages. In Stage 1, a pooled correlation matrix is estimated based on the reported correlation coefficients in the individual studies. In Stage 2, a structural model (such as a path model) is fitted to explain the pooled correlations. Frequently, the individual studies do not provide all the correlation coefficients between the research variables. In this study, we modify the currently optimal MASEM-method to deal with missing correlation coefficients, and compare its performance with existing methods. This study is the first to evaluate the performance of fixed-effects MASEM methods under different levels of missing correlation coefficients. We found that the often used univariate methods performed very poorly, while the multivariate methods performed well overall.     

Mental health practitioners' attitudes towards transgender people: A systematic review of the literature

Background: A systematic review was conducted to critically evaluate and synthesize literature investigating mental health practitioners' attitudes towards transgender people.

Objective: Three primary objectives were outlined; first, establish whether overall attitudes are positive or negative. Second, explore whether training, education or experience influences attitudes and finally, examine participant demographics in relation to attitude trends.

Method: A systematic electronic search was carried out in March 2017 using Medline, PsycINFO, PsycArticles, CINAHL, ASSIA, and Web of Science electronic databases. Manual citation and ancestral searches were conducted on identified papers. Qualitative, quantitative and mixed method studies were eligible for inclusion. A total of 13 papers of mixed quality were identified.

Results: Existing literature is limited to cross-sectional, quantitative data and fails to investigate differences between implicit and explicit attitudes. Small to moderate convenience samples reduce the generalizability of data. Overall attitudes were positive although negative attitudes were more frequent in male, Caucasian, heterosexual, religious, conservative mental health professionals.

Conclusions: Refined scales are needed to address the unique heterogeneity within transgender populations. Future research should focus on how attitudes impact care provided and employ longitudinal designs to explore the sustainability of targeted attitudinal training.     

Telling stories: The structure of adults' narratives

Abstract

Adults' narratives were analysed to study life-span changes in their structure. The narratives were collected from a group of adults in their 60s, 70s, and 80s. Four separate analyses were performed on the narratives' (1) hierarchical structure, (2) syntactic structure, (3) propositional content, and (4) cohesion. Age-group differences were obtained for the measures of hierarchical structure, syntactic structure, and cohesion. Further analyses revealed that the structural complexity of the narratives influenced their syntactic structure and cohesion. Interactions between the effects of age group and structural complexity suggest that elderly adults minimise the syntactic complexity of their narratives, reducing their cohesion, when producing structurally complex narratives. Finally, ratings of the quality of the narratives were strongly correlated with their structural complexity, suggesting that telling a “good” story involves constructing complex plots.     

The dimensions of change in therapeutic community treatment instrument

In this article, the authors describe the refinement and preliminary evaluation of the Dimensions of Change in Therapeutic Community Treatment Instrument (DCI), a measure of treatment process. In Study 1, a 99-item DCI, administered to a cross-sectional sample of substance abuse clients (N = 990), was shortened to 54 items on the basis of results from confirmatory factor analyses and item response theory invariance tests. In Study 2, confirmatory factor analyses of the 54-item DCI, completed by a longitudinal cohort of 993 clients, established and validated an 8-factor solution across 2 subpopulations (adults and adolescents) and 2 time points (treatment entry and 30-days postentry). The results of the 2 studies are encouraging and support use of the 54-item DCI as a tool to measure treatment process.     

Dopamine D2 receptors mediate reversal learning in male C57BL/6J mice

Dopamine is critical for directing goal-oriented behavior. We investigated dopamine D₂ receptor involvement in reversal learning and reinforcement efficacy in mice lacking functional dopamine D₂ receptors and their heterozygous and wild-type littermates. Mice discriminated between two odors to receive a food reinforcer: One odor signaled a reinforcer (S⁺); the other odor signaled no reinforcer (S⁻). After mice learned the S⁺/S⁻ relationship, we inverted the reinforcement contingencies. The necessary number of trials to relearn the new reinforcement contingencies served as our index of reversal learning. Mice lacking functional dopamine D₂ receptors repeatedly failed to inhibit previously reinforced responses during reversal trials. In a separate experiment, mice responded for reinforcers on a progressive ratio schedule of reinforcement. Mice lacking functional dopamine D₂ receptors earned significantly fewer reinforcers than did heterozygous mice. Our results suggest that dopamine D₂ receptors regulate reversal learning and influence the reinforcing efficacy of natural rewards.     

Borderline personality features and instability of daily negative affect and self-esteem

We used a daily process design and multilevel modeling to examine the role of borderline personality features in the day-to-day stability of college students' negative affect and self-esteem and their reactivity to interpersonal stressors. At the end of each day for two weeks, students completed a checklist of daily stressors and measures of state affect and self-esteem. We predicted that high scores on a measure of borderline features would be related to more daily interpersonal stressors, greater negative affective and self-esteem reactivity to these stressors, and less day-to-day carryover of negative mood and self-esteem. The first and third hypotheses were supported, but not the second. The findings demonstrate the utility of a daily process methodology and multilevel modeling to study the day-to-day functioning of individuals with borderline features.     

Childhood pay for grades is related to college grade point averages

In a sample of 87 college students from four junior level courses, being paid for earning good grades in childhood was related to higher college GPAs relative to students who were not paid for good grades in childhood.