Assessing complex problem-solving skills with multiple complex systems

In this paper we propose the multiple complex systems (MCS) approach for assessing domain-general complex problem-solving (CPS) skills and its processes knowledge acquisition and knowledge application. After defining the construct and the formal frameworks for describing complex problems, we emphasise some of the measurement issues inherent in assessing CPS skills with single tasks (i.e., fixed item difficulty, low or unknown reliability, and a large impact of random errors). With examples of the MicroDYN test and the MicroFIN test (two instances of the MCS approach), we show how to adequately score problem-solving skills by using multiple tasks. We discuss implications for problem-solving research and the assessment of CPS skills in general.     

These pretzels are going to make me thirsty tomorrow: Differential development of hot and cool episodic foresight in early childhood?

The current study examined 3‐ and 7‐year‐olds' performance on two types of episodic foresight tasks: A task that required ‘cool’ reasoning processes about the use of objects in future situations and a task that required ‘hot’ processes to inhibit a salient current physiological state in order to reason accurately about a future state. Results revealed that 7‐year‐olds outperformed 3‐year‐olds on the episodic foresight task that involved cool processes, but did not show age differences in performance on the task that involved hot processes. In fact, both 3‐ and 7‐year‐olds performed equally poorly on the task that required predicting a future physiological state that was in conflict with their current state. Further, performance on the two tasks was unrelated. We discuss the results in terms of differing developmental trajectories for episodic foresight tasks that differentially rely on hot and cool processes and the universal difficulties humans have with predicting later outcomes that conflict with current motivational states.     

Sustained increase in hippocampal sharp-wave ripple activity during slow-wave sleep after learning

High-frequency oscillations, known as sharp-wave/ripple (SPW-R) complexes occurring in hippocampus during slow-wave sleep (SWS), have been proposed to promote synaptic plasticity necessary for memory consolidation. We recorded sleep for 3 h after rats were trained on an odor-reward association task. Learning resulted in an increased number SPW-Rs during the first hour of post-learning SWS. The magnitude of ripple events and their duration were also elevated for up to 2 h after the newly formed memory. Rats that did not learn the discrimination during the training session did not show any change in SPW-Rs. Successful retrieval from remote memory was likewise accompanied by an increase in SPW-R density and magnitude, relative to the previously recorded baseline, but the effects were much shorter lasting and did not include increases in ripple duration and amplitude. A short-lasting increase of ripple activity was also observed when rats were rewarded for performing a motor component of the task only. There were no increases in ripple activity after habituation to the experimental environment. These experiments show that the characteristics of hippocampal high-frequency oscillations during SWS are affected by prior behavioral experience. Associative learning induces robust and sustained (up to 2 h) changes in several SPW-R characteristics, while after retrieval from remote memory or performance of a well-trained procedural aspect of the task, only transient changes in ripple density were induced.     

A general diagnostic model applied to language testing data

Probabilistic models with one or more latent variables are designed to report on a corresponding number of skills or cognitive attributes. Multidimensional skill profiles offer additional information beyond what a single test score can provide, if the reported skills can be identified and distinguished reliably. Many recent approaches to skill profile models are limited to dichotomous data and have made use of computationally intensive estimation methods such as Markov chain Monte Carlo, since standard maximum likelihood (ML) estimation techniques were deemed infeasible. This paper presents a general diagnostic model (GDM) that can be estimated with standard ML techniques and applies to polytomous response variables as well as to skills with two or more proficiency levels. The paper uses one member of a larger class of diagnostic models, a compensatory diagnostic model for dichotomous and partial credit data. Many well‐known models, such as univariate and multivariate versions of the Rasch model and the two‐parameter logistic item response theory model, the generalized partial credit model, as well as a variety of skill profile models, are special cases of this GDM. In addition to an introduction to this model, the paper presents a parameter recovery study using simulated data and an application to real data from the field test for TOEFL^® Internet‐based testing.     

Emotion-regulation skills as a treatment target in psychotherapy

Background

Deficits in emotion-regulation skills have been shown to be integral to the development and maintenance of a wide range of mental disorders.

Aim

To evaluate the importance of these skills as a treatment target in psychotherapeutic interventions.

Method

Nine specific emotion-regulation skills were assessed in a sample of 289 inpatients before and after cognitive-behavioural treatment. Self-reports of success in pretreatment skills application were first compared to those of 246 non-clinical controls. Pretreatment skills application and change in skills application during therapy were then related to a variety of outcome measures. Finally, the effects of integrating a brief training of general emotion-regulation skills into the CBT-based treatment were evaluated in a controlled trial.

Results

Uni- and multivariate analyses identified the skills of acceptance, tolerance, and active modification of negative emotions as particularly important for current mental health and treatment outcome. Replacing parts of the standard CBT treatment with the emotion-regulation training enhanced the effects of the CBT treatment on skills application and on other measures of mental health.

Conclusion

Incorporating interventions that directly target general emotion-regulation skills may improve the effectiveness of psychotherapeutic interventions.     

On the universality of language comprehension strategies: evidence from Turkish

A fundamental question in psycholinguistic research concerns the universality of comprehension strategies. We investigated this issue by examining the so-called "subject preference" in Turkish, a language which allows for a natural (unmarked) object reading of an initial ambiguous argument. Using event-related brain potentials (ERPs), we observed increased processing difficulty in the form of a broadly distributed positivity when an initial ambiguous argument was disambiguated towards an object reading. This effect was independent of the animacy (i.e. semantic subject prototypicality) of the ambiguous argument. Our results therefore speak in favour of a universal tendency to interpret the first argument encountered as the "subject" of the clause, even in languages providing no obvious structural motivation for such a strategy. However, we argue that the underlying explanation for this preference must be modified in accordance with cross-linguistic considerations.     

Adult age differences in event-based prospective memory: a meta-analysis on the role of focal versus nonfocal cues

Studies of age differences in event-based prospective memory indicate wide variation in the magnitude of age effects. One explanation derived from the multiprocess framework proposes that age differences depend on whether the cue to carry out a prospective intention is focal to ongoing task processing. A meta-analysis of 117 effect sizes from 4,709 participants provided evidence for this view, as age effects were greater when the prospective cue to the ongoing task was nonfocal compared with when it was focal. However, the results only support a weaker but not a stronger prediction of the multiprocess framework, as age impairments were reliably above zero for both types of retrieval cues.     

Calculating the attentional orientation of an unfamiliar agent in infancy

By the end of the first year, infants are able to recognize both goal-directed and perceptually guided behavior in the actions of non-human agents, even faceless ones. How infants derive the relevant orientation of an unfamiliar agent in the absence of familiar markers such as eyes, ears, or face is unknown. The current studies tested the hypothesis that infants’ calculate an agent's “front” from the geometry of its behavior in the spatial environment. In the first study, 14–15-month-old infants observed a symmetrical, faceless agent either interact contingently with a confederate or act randomly. It then turn toward one of two target objects. Infants were more likely to look in the direction the agent turned than the opposite direction, but only in the contingent condition. In the second study, the location of the confederate and target objects was varied, which in turn influenced which end of the agent infants interpreted as the front. Finally, implications for infants’ early gaze-following behaviors with humans are tested and implications for theory of mind development more broadly are discussed.