A class of k-modes algorithms for extracting knowledge structures from data

One of the most crucial issues in knowledge space theory is the construction of the so-called knowledge structures. In the present paper, a new data-driven procedure for large data sets is described, which overcomes some of the drawbacks of the already existing methods. The procedure, called k-states, is an incremental extension of the k-modes algorithm, which generates a sequence of locally optimal knowledge structures of increasing size, among which a “best” model is selected. The performance of k-states is compared to other two procedures in both a simulation study and an empirical application. In the former, k-states displays a better accuracy in reconstructing knowledge structures; in the latter, the structure extracted by k-states obtained a better fit.     

Shock and awe: Distinct effects of taboo words on lexical decision and free recall

Taboo stimuli are highly arousing, but it has been suggested that they also have inherent taboo-specific properties such as tabooness, offensiveness, or shock value. Prior studies have shown that taboo words have slower response times in lexical decision and higher recall probabilities in free recall; however, taboo words often differ from other words on more than just arousal and taboo properties. Here, we replicated both of these findings and conducted detailed item analyses to determine which word properties drive these behavioural effects. We found that lexical-decision performance was best explained by measures of lexical accessibility (e.g., word frequency) and tabooness, rather than arousal, valence, or offensiveness. However, free-recall performance was primarily driven by emotional word properties, and tabooness was the most important emotional word property for model fit. Our results suggest that the processing of taboo words is influenced by distinct sets of factors and by an intrinsic taboo-specific property.     

Judgments of differences and ratios of subjective heaviness

Attention, Perception, & Psychophysics - Experimental instructions to judge differences or ratios of subjective heaviness numerically are generally assumed to produce judgments linearly...     

The Primacy of Discourse in the Study of Gender in Family Therapy

Family therapists and scholars increasingly adopt poststructural and postmodern conceptions of social reality, challenging the notion of stable, universal dynamics within family members and families and favoring a view of reality as produced through social interaction. In the study of gender and diversity, many envision differences as social constructed rather than as “residing” in people or groups. There is a growing interest in discourse or people's everyday use of language and how it may reflect and advance interests of dominant groups in a society. Despite this shift from structures to discourse, therapists struggle to locate the dynamics of power in concrete actions and interactions. By leaving undisturbed the social processes through which gendered and other subjectivities and relations of power are produced, therapists may inadvertently become complicit in the very dynamics of power they seek to undermine. In this article, we argue that discourse analysis can help family therapy scholars and practitioners clarify the link between language and power. We present published examples of discourse analytic studies of gender and sexism and examine the relevance of these ideas for family therapy practice and research.     

Group Therapy for Loss: Attachment,Intersubjectivity, and Healing

Loss is a fundamental human experience that can impact a person’s mental health in diverse ways. While this experience is potentially formative, harmful manifestations can fracture one’s sense of self and undermine relational health. In this article, we present a rationale for process-oriented group therapy focused on healing relational injuries associated with loss. We draw on attachment, self-psychology, intersubjectivity, and Yalom & Leszcz’s (2005) model of group psychotherapy to explore how group processes allow clients to work through losses and relational frustrations in the here-and-now. A case vignette and discussion offer practical insight on the ways in which loss manifests in the room and demonstrate the uniqueness of the group setting for reparative processing.     

Age slowing down in detection and visual discrimination under varying presentation times

The reaction time has been described as a measure of perception, decision making, and other cognitive processes. The aim of this work is to examine age‐related changes in executive functions in terms of demand load under varying presentation times. Two tasks were employed where a signal detection and a discrimination task were performed by young and older university students. Furthermore, a characterization of the response time distribution by an ex‐Gaussian fit was carried out. The results indicated that the older participants were slower than the younger ones in signal detection and discrimination. Moreover, the differences between both processes for the older participants were higher, and they also showed a higher distribution average except for the lower and higher presentation time. The results suggest a general slowdown in both tasks for age under different presentation times, except for the cases where presentation times were lower and higher. Moreover, if these parameters are understood to be a reflection of executive functions, these findings are consistent with the common view that age‐related cognitive deficits show a decline in this function.     

Event models and the fan effect

The current study explored the persistence of event model organizations and how this influences the experience of interference during retrieval. People in this study memorized lists of sentences about objects in locations, such as “The potted palm is in the hotel.” Previous work has shown that such information can either be stored in separate event models, thereby producing retrieval interference, or integrated into common event models, thereby eliminating retrieval interference. Unlike prior studies, the current work explored the impact of forgetting up to 2 weeks later on this pattern of performance. We explored three possible outcomes across the various retention intervals. First, consistent with research showing that longer delays reduce proactive and retroactive interference, any retrieval interference effects of competing event models could be reduced over time. Second, the binding of information into events models may weaken over time, causing interference effects to emerge when they had previously been absent. Third, and finally, the organization of information into event models could remain stable over long periods of time. The results reported here are most consistent with the last outcome. While there were some minor variations across the various retention intervals, the basic pattern of event model organization remained preserved over the two-week retention period.