Individual responses to climate change: Framing effects on pro‐environmental behaviors

Promoting effective responses to climate change, especially among people who reject its anthropogenic causes, has been challenging. Following a qualitative study, we experimentally induce one of four frames of reference (identity, biodiversity conservation, economic prosperity, and climate change), and assess their effects on participants’ behavioral intentions using three scales (consumption‐investment, consumption‐reduction, and political participation). The sample (N = 156) included people who thought climate change is natural and those who thought it is human‐induced. Results show a significant impact of the identity frame, relative to the climate‐change frame, for both consumption scales, in the total sample, and among those who reject the anthropogenic causes. These results offer a way to address behavioral resistances associated with antagonistic views on climate change.     

Bridging computational approaches to speech production: The semantic–lexical–auditory–motor model (SLAM)

Speech production is studied from both psycholinguistic and motor-control perspectives, with little interaction between the approaches. We assessed the explanatory value of integrating psycholinguistic and motor-control concepts for theories of speech production. By augmenting a popular psycholinguistic model of lexical retrieval with a motor-control-inspired architecture, we created a new computational model to explain speech errors in the context of aphasia. Comparing the model fits to picture-naming data from 255 aphasic patients, we found that our new model improves fits for a theoretically predictable subtype of aphasia: conduction. We discovered that the improved fits for this group were a result of strong auditory–lexical feedback activation, combined with weaker auditory–motor feedforward activation, leading to increased competition from phonologically related neighbors during lexical selection. We discuss the implications of our findings with respect to other extant models of lexical retrieval.     

Assessing the Effect of Language Demand in Bundles of Math Word Problems

Differential bundle functioning (DBF) analyses were conducted to determine whether seventh and eighth grade second language learners (SLLs) had lower probabilities of answering bundles of math word problems correctly that had heavy language demands, when compared to non-SLLs of equal math proficiency. Math word problems on each of four test forms (two at Grade 7 and two at Grade 8) were bundled together if they used the passive voice, conditional clause, relative clause, or a combination of any two. The results showed that the average total scores for SLLs was significantly lower than that for non-SLLs on each test form. However, only two bundles (passive voice and conditional clause at Grade 7 on Form 2) indicated statistically significant DBF against SLLs in favor of matched non-SLLs. An additional step was taken to determine whether the two bundles that showed statistically significant DBF against SLLs had biased the mean total scores for this group.The Walker, Zhang, Banks, and Cappaert (2012) procedure established for this purpose showed that this was not the case. Implications of the results are provided as well as suggestions for future research.     

The Virtual Universe, the Open Large Group, and Maturational Processes in the Future

The technology of the future will bring a new, world-wide, interactive but virtual social experience to our parlors and desktops in place of face-to-face relationships. Governments will stand or fall on the basis of electronically mediated communication with masses of people. Adventures in this new open large group context in the outer world, and the maturation of our inner selves may mirror as well as contribute to each other. Small group experience and group therapy, in particular, may play a vital role.     

Hierarchical model of vulnerabilities for anxiety: replication and extension with a clinical sample

This study served to replicate and extend our previously obtained hierarchical model of the relationships among general anxiety vulnerabilities, specific anxiety vulnerabilities and specific anxiety manifestations including panic symptoms, health anxiety, obsessive-compulsive symptoms and worry. Questionnaires assessing these variables, as well as positive affectivity and depressiveness, were administered to 125 outpatients seeking treatment for panic disorder, social anxiety disorder, obsessive-compulsive disorder, generalized anxiety disorder or major depressive disorder. The results, using a clinical sample, were highly consistent with the hierarchical model obtained in the previous study using a student sample. A more elaborate model, based on published theoretical and empirical evidence, was identified and tested, and similar results were obtained. Negative affectivity had expected direct positive effects on all of the specific anxiety and depression manifestations, with the exception of health anxiety, which showed a negative relationship, and OCD symptoms, which showed no relationship. Positive affectivity was found to be a specific risk factor for depression, while intolerance of uncertainty was found to be a specific risk factor for worry and depression. Finally, anxiety sensitivity appears to be a significant risk factor for panic and health anxiety.     

Social cohesion predicts COVID-19 vaccination intentions and uptake

COVID-19 vaccination is widely regarded as an individual decision, resting upon individual characteristics and demographic factors. In this research, we provide evidence that psychological group membership, and more precisely, social cohesion—a multidimensional concept that encompasses one's sense of connectedness to, and interrelations within, a group—can help us understand COVID-19 vaccination intentions (Study 1) and uptake (Study 2). Study 1 is a repeated-measures study with a representative sample of 3026 Australians. We found evidence that social cohesion can be conceptualised as a multidimensional structure; moreover, social cohesion at Wave 1 (early in the COVID-19) predicted greater vaccination intention and lower perceived risk of vaccination at Wave 2 (4 months later). In Study 2 (a cross-sectional study, N = 499), the multidimensional structure of social cohesion was associated with greater uptake of vaccine doses (in addition to willingness to receive further doses and perceived risk of the vaccine). These relations were found after controlling for a series of demographic (i.e., sex, age, income), health-related factors (i.e., subjective health; perceived risk; having been diagnosed with COVID-19), and individual differences (political orientation, social dominance orientation, individualism). These results demonstrate the need to go beyond individual factors when it comes to behaviours that protect groups, and particularly when examining COVID-19 vaccination—one of the most important ways of slowing the spread of the virus.     

NAMING THE HUMAN ANIMAL: GENESIS 1–3 AND OTHER ANIMALS IN HUMAN BECOMING

Recently the paleoanthropologist Pat Shipman has proposed what she calls the animal connection as the human trait that connects all other traits. Theologians and biblical scholars have proposed many relational, functional, and ontological interpretations of the image of God in humans and human nature, but have generally not included a connection with animals. Genesis 1–3, however, weaves human and animal creation in a variety of ways, and Adam's naming of other species implies they are understood as family or kin. Thus Genesis 1–3 understands a relationship with other animals as integral to human becoming and uses family or kinship as a root metaphor for human–animal relations.     

Differential Effects of Task Performance,Organizational Citizenship Behavior,and Job Complexity on Voluntary Turnover

Purpose

The purpose of this study was to investigate the performance–turnover relationship by considering the effects of task performance and OCBs simultaneously while also examining the moderating effect job complexity has on the relationship between voluntary turnover and each type of performance.

Design/Methodology/Approach

Data were obtained as part of a larger study to validate an employment test, in which actual turnover data and supervisory ratings of job performance were collected for employees in two hospitals (n = 782).

Findings

Task performance exhibited a curvilinear relationship with turnover, while OCB exhibited a negative linear relationship with turnover. Job complexity moderated both of these relationships. For task performance, turnover in high-complexity jobs was greater for low performers but lower for high performers relative to that of employees in low-complexity jobs. For OCB, the negative relationship with turnover was more pronounced in high-complexity jobs.

Implications

Both low- and high-task performers are more likely to turnover, while employees exhibiting high OCBs are less likely to turnover. These results imply that retention strategies are critical for top performers, but especially in high-complexity jobs. Organizations may be able to discourage voluntary turnover by creating conditions that stimulate OCB, particularly in highly complex jobs.

Originality/Value

Most prior performance–turnover relationship research used unidimensional measures of performance, whereas this study included two dimensions of performance and examined this relationship while controlling for one-performance dimension when predicting the other. Furthermore, this study is one of the first studies to suggest that job complexity moderates the performance–turnover relationship.