Do Common Factors Account for Counseling Outcome?

This study drew from common factors as an explanatory model for how counseling produces client change. Client self‐report measures for 3 common factors—client factors, client–counselor relationship factors, and client expectancy factors—were examined at a counseling training clinic. Regression analyses revealed that 2 factors significantly predicted treatment outcome: client expectancy and the therapeutic alliance. One variable from client factors—abuse history—had a nonsignificant but modest relationship with outcome.     

A Computational Model for the Item‐Based Induction of Construction Networks

According to usage‐based approaches to language acquisition, linguistic knowledge is represented in the form of constructions—form‐meaning pairings—at multiple levels of abstraction and complexity. The emergence of syntactic knowledge is assumed to be a result of the gradual abstraction of lexically specific and item‐based linguistic knowledge. In this article, we explore how the gradual emergence of a network consisting of constructions at varying degrees of complexity can be modeled computationally. Linguistic knowledge is learned by observing natural language utterances in an ambiguous context. To determine meanings of constructions starting from ambiguous contexts, we rely on the principle of cross‐situational learning. While this mechanism has been implemented in several computational models, these models typically focus on learning mappings between words and referents. In contrast, in our model, we show how cross‐situational learning can be applied consistently to learn correspondences between form and meaning beyond such simple correspondences.     

Ethical social justice: Do the ends justify the means?

This article offers an ethical decision‐making model, informed by community psychology values, as a means for guiding psychologists when engaging in social justice‐oriented work. The applicability of this model is demonstrated through a case analysis elucidating how America's psychologists individually and collectively arrived at the decision to endorse torture—ostensibly as a means for preventing terrorism. Critics have wondered how the American Psychological Association succumbed to these involvements, and how to prevent such ethical lapses in the future. Unfortunately, the American Psychological Association's ethical codes fail to provide explicit guidance for psychologists' involvement in social justice work that impacts communities and systems. To address this gap, we present a values‐driven, ethical decision‐making framework that may be used to guide psychologists' future practices. This framework infuses fundamental community psychology values (i.e., caring and compassion; health; self‐determination and participation, human diversity, social justice; and critical reflexivity) into a 9‐step model.     

Self‐Regulatory Resources Power the Reflective System: Evidence From Five Domains

In this commentary, I focus on the deficiencies in the reflective‐impulsive model (RIM) by Strack, Werth, and Deutsch (2006) in terms of understanding the mechanics of the reflective system. Strack et al. outlined the cognitive architecture of the consumer with the RIM but failed to specify how its most impressive feature, the reflective system, is powered. Drawing on the literature on self‐regulation (as a reconceptualization of RIM incompatibility), I argue that self‐regulatory resources drive the reflective system. Research from 5 domains—overeating among dieters, impulsive spending, logical thinking, making choices, and subjective perceptions of duration—supports this hypothesis.     

A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word‐Order Universal

In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language‐learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners’ input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized learning biases. The test case is an experiment ( Culbertson, Smolensky, & Legendre, 2012 ) targeting the learning of word‐order patterns in the nominal domain. The model identifies internal biases of the experimental participants, providing evidence that learners impose (possibly arbitrary) properties on the grammars they learn, potentially resulting in the cross‐linguistic regularities known as typological universals. Learners exposed to mixtures of artificial grammars tended to shift those mixtures in certain ways rather than others; the model reveals how learners’ inferences are systematically affected by specific prior biases. These biases are in line with a typological generalization—Greenberg's Universal 18—which bans a particular word‐order pattern relating nouns, adjectives, and numerals.     

Dynamic Social Networks in Recovery Homes

Acute treatment aftercare in the form of sober living environments—i.e., recovery houses—provide an inexpensive and effective medium-term treatment alternative for many with substance use disorders. Limited evidence suggests that house-situated social relationships and associated social support are critical determinants of how successful these residential experiences are for their members, but little is known about the mechanisms underlying these relationships. This study explored the feasibility of using dynamic social network modeling to understand house-situated longitudinal associations among individual Alcoholics Anonymous related recovery behaviors, length of residence, dyadic interpersonal trust, and dyadic confidant relationship formation processes. Trust and confidant relationships were measured 3 months apart in U.S. urban-area recovery houses, all of which were part of a network of substance use recovery homes. A stochastic actor-based model was successfully estimated from this data set. Results suggest that confidant relationships are predicted by trust, while trust is affected by recovery behaviors and length of residence. Conceptualizing recovery houses as a set of independent, evolving social networks that can be modeled jointly appears to be a promising direction for research.     

Relational recovery after infidelity as a dual process: A model based on the experiences of female injured partners

In the literature, relational recovery after infidelity is often described as a process going through different consecutive stages towards a reconciliation. We interviewed 25 injured partners and invited them to look back and talk about what helped them to recover from the pain and the conflicts caused by the relational infidelity of their partner. From their stories—through thematic analysis—four themes emerged: 1. talking, 2.the truth, 3. trust and 4. ethical imbalance. It furthermore struck us how the participants described their recovery process as an experience of being oscillated between connection and disconnection. These findings pointed us in the direction of developing a dual process model that fits with our participants' experiences of recovering after infidelity, while emphasizing the dynamic nature of their stories.     

Sober social networks: The role of online support groups in recovery from alcohol addiction

In the context of addiction research, positive recovery outcomes are affected by the quality of people's social interactions and perhaps to an even greater extent, by the defining norms of the groups they identify with—that is, using versus recovery groups. Here, we examine the role of online supportive networks in the process of recovery from alcohol addiction. We analyse the relationship between negative and positive aspects of recovery capital (i.e., self‐stigma, and respectively, positive recovery identity and self‐efficacy) as they relate to well‐being outcomes among alcohol users in an online recovery support group. Based on a computerised linguistic analysis of the naturally occurring data extracted from an online recovery support group (i.e., 257 posts made by 237 group members), we found that self‐stigma negatively predicts self‐efficacy and well‐being, and social identification with a recovery identity mediates these relationships. Overall, these findings highlight that positive engagement with supportive recovery networks is central to an effective and sustainable recovery.     

Non‐ignorable missingness item response theory models for choice effects in examinee‐selected items

Examinee‐selected item (ESI) design, in which examinees are required to respond to a fixed number of items in a given set, always yields incomplete data (i.e., when only the selected items are answered, data are missing for the others) that are likely non‐ignorable in likelihood inference. Standard item response theory (IRT) models become infeasible when ESI data are missing not at random (MNAR). To solve this problem, the authors propose a two‐dimensional IRT model that posits one unidimensional IRT model for observed data and another for nominal selection patterns. The two latent variables are assumed to follow a bivariate normal distribution. In this study, the mirt freeware package was adopted to estimate parameters. The authors conduct an experiment to demonstrate that ESI data are often non‐ignorable and to determine how to apply the new model to the data collected. Two follow‐up simulation studies are conducted to assess the parameter recovery of the new model and the consequences for parameter estimation of ignoring MNAR data. The results of the two simulation studies indicate good parameter recovery of the new model and poor parameter recovery when non‐ignorable missing data were mistakenly treated as ignorable.     

Crossing Bridges: Assembling Culture into Brands and Brands into Consumers' Global Local Cultural Lives

Fournier and Alvarez (2019—this issue) and Batra (2019—this issue), respectively, offer interpretive and psychological perspectives on how brands acquire cultural meanings. In this commentary, we discuss the opportunities for leveraging these two perspectives, and use an assemblage theory lens to uncover the dynamics of how cultural models articulated through cultural myths, metaphors, ideologies, and cultural objects circulate through the brand assemblage and through the consumer assemblage. We offer a bridge‐crossing approach to research opportunities bringing both a socio‐historical‐cultural approach and psychological approach to understand how cultural meanings are assembled into brands and how consumers assemble brands into their lives.     

It's not you,it's them: Social influences on trust propensity and trust dynamics

Scholars agree that trust primarily has two bases: trustworthiness—the extent to which a trustee is competent, honest, and has goodwill toward the trustor—and trust propensity—a stable trait reflecting the trustor's generalized belief that others can be trusted. Due to this trait characterization, the literature has largely reached a consensus that trust propensity is only an important base of trust in the earliest stage of a relationship—before information on trustworthiness has been gathered. Additionally, the trait conceptualization of trust propensity inhibits it from being modeled as an explanatory mechanism. Drawing on accessibility theory, a theory of trait activation, we argue that trust propensity has state‐like characteristics that are “activated” by the daily treatment an employee receives from coworkers. Our model highlights that the social context—predominantly ignored in prior trust research because of its lack of relevance to dyadic perceptions of trustworthiness—can have a substantial impact on dyadic trust. Across two multisource experience sampling methodology studies, we provide evidence that state trust propensity transmits the effects of citizenship and deviance received to trust in a focal coworker, whether that focal coworker is a source of that treatment or not. We also address how general levels of workplace unfairness—a between‐person construct—influence these dynamics. We discuss the theoretical and practical implications of these within‐person dynamics for fostering trust within organizations.     

INTERRELIGIOUS DIALOGUE AS AN EVOLUTIONARY PROCESS

Abstract. I explore the contributions of Ibrahim Moosa, a Muslim legal scholar, to a Muslim‐Christian dialogue on religion and science. Moosa begins from the context of Shari'a, Islamic law, and not from the usual issues of the religion‐science dialogue. Beginning as it does from a legal tradition, the approach suggests a perspective on science and religion that is particular to Islam and provides insight into how an authentic dialogue between Muslims and Christians would proceed—and thereby an alternative model for a religion‐science dialogue.     

Job demands–resources model in the context of recovery: Testing recovery experiences as mediators

The aim of the present study was to extend the original Job Demands–Resources (JD-R) model by taking into account recovery as an important mediation mechanism between work characteristics and well-being/ill-health. Specifically, we examined whether recovery experiences—strategies promoting recovery—might have a mediating role in the JD-R model among 527 employees from a variety of different jobs. The results showed that psychological detachment fully mediated the effects of job demands on fatigue at work and mastery partially mediated the effects of job resources on work engagement. Altogether, the results suggest that recovery merits consideration as a mediating mechanism in the JD-R model.     

Open‐endedness,Schemas and Ontological Commitment

Second‐order axiomatizations of certain important mathematical theories—such as arithmetic and real analysis—can be shown to be categorical. Categoricity implies semantic completeness, and semantic completeness in turn implies determinacy of truth‐value. Second‐order axiomatizations are thus appealing to realists as they sometimes seem to offer support for the realist thesis that mathematical statements have determinate truth‐values. The status of second‐order logic is a controversial issue, however. Worries about ontological commitment have been influential in the debate. Recently, Vann McGee has argued that one can get some of the technical advantages of second‐order axiomatizations—categoricity, in particular—while walking free of worries about ontological commitment. In so arguing he appeals to the notion of an open‐ended schema—a schema that holds no matter how the language of the relevant theory is extended. Contra McGee, we argue that second‐order quantification and open‐ended schemas are on a par when it comes to ontological commitment.     

Bio‐Theoacoustics: Prayer Outdoors and the Reality of the Natural World

What does it mean to pray when the Earth—the fabric of our bodies’ lives, and indeed of the incarnation itself—is profoundly endangered from human action? What would Christian prayer look like that was not “losing track of nature” but following its tracks, physically and spiritually immersed in the actual, present, threatened and wild life of the more‐than‐human world? Using categories outlined by Dietrich Bonhoeffer in his Ethics, this essay asserts that prayer and worship that take place entirely within the wall‐, speech‐, and screen‐mediated bubble of anthropocentrism risk becoming an abstraction. The essay explores this assertion in three moves: first, it delineates Bonhoeffer's assertion of the “abstraction” created by forms of Christian life in which God is conceived in separation from the world. Next, it shows how these categories—“God” and “world”—come together in prayer outdoors, understood both literally and metaphorically. And finally, it proposes how prayer outdoors might take shape for individuals or communities: a bio‐theoacoustics of prayer for the life of the world.     

Creativity from Constraints: What can we learn from Motherwell? from Modrian? from Klee?

This article presents a problem‐solving model of variability and creativity built on the classic Reitman and Simon analyses of musical composition and architectural design. The model focuses on paired constraints: one precluding (or limiting search among) reliable, existing solutions, the other promoting (or directing search to) novel, often opposite, ones. The primary constraint pair precludes an existing goal criterion and promotes a novel one. Other constraints — source (elements for recombination), task (how materials are used) and subject (motif, theme) — are then strategically selected to realize the goal. A brief discussion of Abstract Expressionism introduces the model, which is then applied to the painting careers of Piet Modrian and Paul Klee.     

Explaining the Effects of Narrative in an Entertainment Television Program: Overcoming Resistance to Persuasion

Research has examined the ability of entertainment‐education (E‐E) programs to influence behavior across a variety of health and social issues. However, less is known about the underlying mechanisms that account for these effects. In keeping with the extended elaboration likelihood model (E‐ELM) and the entertainment overcoming resistance model (EORM), we examined how story features, such as narrative transportation and involvement with characters, may reduce three forms of resistance to persuasion—reactance, counterarguing, and perceived invulnerability. In a between‐subjects experiment, 367 undergraduates viewed either a dramatic narrative or a nonnarrative program about the difficult consequences of an unplanned teen pregnancy. Participants completed a questionnaire assessing their reactions to the program immediately after viewing and again 2 weeks later. Consistent with predictions derived from the EORM and E‐ELM, the dramatic narrative reduced reactance by fostering parasocial interaction with characters and decreasing perceptions of persuasive intent. Also as expected, identification with characters in the narrative reduced counterarguing and increased perceived vulnerability to unplanned pregnancy—although the latter occurred only at the delayed posttest 2 weeks after exposure. Unexpectedly, transportation into the dramatic narrative was associated with greater counterarguing. Taken together, this research demonstrates that investigating narrative influence from the perspective of overcoming resistance is a useful approach. Findings also suggest important differences in how individuals process narrative and nonnarrative messages.     

The Goal Circuit Model: A Hierarchical Multi‐Route Model of the Acquisition and Control of Routine Sequential Action in Humans

Human control of action in routine situations involves a flexible interplay between (a) task‐dependent serial ordering constraints; (b) top‐down, or intentional, control processes; and (c) bottom‐up, or environmentally triggered, affordances. In addition, the interaction between these influences is modulated by learning mechanisms that, over time, appear to reduce the need for top‐down control processes while still allowing those processes to intervene at any point if necessary or if desired. We present a model of the acquisition and control of goal‐directed action that goes beyond existing models by operationalizing an interface between two putative systems—a routine and a non‐routine system—thereby demonstrating how explicitly represented goals can interact with the emergent task representations that develop through learning in the routine system. The gradual emergence of task representations offers an explanation for the transfer of control with experience from the non‐routine goal‐based system to the routine system. At the same time it allows action selection to be sensitive both to environmental triggers and to biasing from multiple levels within the goal system.     

Incorporating Demographic Embeddings Into Language Understanding

Meaning depends on context. This applies in obvious cases like deictics or sarcasm as well as more subtle situations like framing or persuasion. One key aspect of this is the identity of the participants in an interaction. Our interpretation of an utterance shifts based on a variety of factors, including personal history, background knowledge, and our relationship to the source. While obviously an incomplete model of individual differences, demographic factors provide a useful starting point and allow us to capture some of this variance. However, the relevance of specific demographic factors varies between situations—where age might be the key factor in one context, ideology might dominate in another. To address this challenge, we introduce a method for combining demographics and context into situated demographic embeddings—mapping representations into a continuous geometric space appropriate for the given domain, showing the resulting representations to be functional and interpretable. We further demonstrate how to make use of related external data so as to apply this approach in low‐resource situations. Finally, we show how these representations can be incorporated into improve modeling of real‐world natural language understanding tasks, improving model performance and helping with issues of data sparsity.