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451.
Extant research suggests there is considerable overlap between so-called 2-polarities models of personality development; that is, models that propose that personality development evolves through a dialectic synergistic interaction between 2 key developmental tasks across the life span—the development of self-definition on the one hand and of relatedness on the other. These models have attracted considerable research attention and play a central role in DSM planning. This article provides a researcher- and clinician-friendly guide to the assessment of these personality theories. We argue that current theoretical models focus on issues of relatedness and self-definition at different hierarchically organized levels of analysis; that is (a) at the level of broad personality features, (b) at the motivational level (i.e., the motivational processes underlying the development of these dimensions), and (c) at the level of underlying internal working models or cognitive affective schemas, and the specific interpersonal features and problems in which they are expressed. Implications for further research and DSM planning are outlined. 相似文献
452.
Claudia Sassenrath Svenja Diefenbacher André Siegel Johannes Keller 《Psychology & health》2016,31(2):205-227
Objectives: Adopting a social-psychological approach, this research examines whether emotional empathy, an affective reaction regarding another’s well-being, fosters hand hygiene as this affects other’s health-related well-being extensively.
Design: Three studies tested this notion: (a) a cross-sectional study involving a sample of health care workers at a German hospital, (b) an experiment testing the causal effect of empathy on hand hygiene behaviour and (c) an 11-week prospective study testing whether an empathy induction affected disinfectant usage frequency in two different wards of a hospital.
Main outcome measures: Self-reported hand hygiene behaviour based on day reconstruction method was measured in Study 1, actual hand sanitation behaviour was observed in Study 2 and disinfectant usage frequency in two different hospital wards was assessed in Study 3.
Results: Study 1 reveals an association of empathy with hand hygiene cross-sectionally, Study 2 documents the causal effect of empathy on increased hand sanitation. Study 3 shows an empathy induction increases hand sanitiser usage in the hospital.
Conclusions: Increasing emotional empathy promotes hand hygiene behaviour, also in hospitals. Besides providing new impulses for the design of effective interventions, these findings bear theoretical significance as they document the explanatory power of empathy regarding a distal explanandum (hand hygiene). 相似文献
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David DuPuis Nilam Ram Cynthia J. Willner Sarah Karalunas Sidney J. Segalowitz Lisa M. Gatzke‐Kopp 《Developmental science》2015,18(3):452-468
Event‐related potentials (ERPs) have been proposed as biomarkers capable of reflecting individual differences in neural processing not necessarily detectable at the behavioral level. However, the role of ERPs in developmental research could be hampered by current methodological approaches to quantification. ERPs are extracted as an average waveform over many trials; however, actual amplitudes would be misrepresented by an average if there was high trial‐to‐trial variability in signal latency. Low signal temporal consistency is thought to be a characteristic of immature neural systems, although consistency is not routinely measured in ERP research. The present study examined the differential contributions of signal strength and temporal consistency across trials in the error‐related negativity (ERN) in 6‐year‐old children, as well as the developmental changes that occur in these measures. The 234 children were assessed annually in kindergarten, 1st, and 2nd grade. At all assessments signal strength and temporal consistency were highly correlated with the average ERN amplitude, and were not correlated with each other. Consistent with previous findings, ERN deflections in the averaged waveform increased with age. This was found to be a function of developmental increases in signal temporal consistency, whereas signal strength showed a significant decline across this time period. In addition, average ERN amplitudes showed low‐to‐moderate stability across the three assessments whereas signal strength was highly stable. In contrast, signal temporal consistency did not evidence rank‐order stability across these ages. Signal strength appears to reflect a stable individual trait whereas developmental changes in temporal consistency may be experientially influenced. 相似文献
455.
Kenneth R. Koedinger Sidney D'Mello Elizabeth A. McLaughlin Zachary A. Pardos Carolyn P. Ros 《Wiley Interdisciplinary Reviews: Cognitive Science》2015,6(4):333-353
An emerging field of educational data mining (EDM) is building on and contributing to a wide variety of disciplines through analysis of data coming from various educational technologies. EDM researchers are addressing questions of cognition, metacognition, motivation, affect, language, social discourse, etc. using data from intelligent tutoring systems, massive open online courses, educational games and simulations, and discussion forums. The data include detailed action and timing logs of student interactions in user interfaces such as graded responses to questions or essays, steps in rich problem solving environments, games or simulations, discussion forum posts, or chat dialogs. They might also include external sensors such as eye tracking, facial expression, body movement, etc. We review how EDM has addressed the research questions that surround the psychology of learning with an emphasis on assessment, transfer of learning and model discovery, the role of affect, motivation and metacognition on learning, and analysis of language data and collaborative learning. For example, we discuss (1) how different statistical assessment methods were used in a data mining competition to improve prediction of student responses to intelligent tutor tasks, (2) how better cognitive models can be discovered from data and used to improve instruction, (3) how data‐driven models of student affect can be used to focus discussion in a dialog‐based tutoring system, and (4) how machine learning techniques applied to discussion data can be used to produce automated agents that support student learning as they collaborate in a chat room or a discussion board. WIREs Cogn Sci 2015, 6:333–353. doi: 10.1002/wcs.1350 This article is categorized under:
- Computer Science > Machine Learning
- Psychology > Learning
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Donald Siegel 《The Quarterly Journal of Experimental Psychology Section A: Human Experimental Psychology》1988,40(3):545-560
The relationship between the rate of force development and components of fractionated reaction time were investigated in the present study. Subjects (N=9) were administered extensive practice before being required to produce 98N of isometric force on a hand dynamometer at a maximal rate, at 20% slower than maximal, and at 40% slower than maximal. Repeated measures analysis of variance followed by non-orthogonal Dunn planned comparisons demonstrated that pre-motor time and reaction time increased as similar peak forces were produced over longer durations. No significant differences in motor times were revealed. These data suggested that the manner in which force is expressed relates to the complexity of motor programming. The increased requirement of coordinating alpha-gamma coactivation, as well as the increased need for rate coding as a process underlying force development at slower contraction rates, are discussed in relation to programming complexity. 相似文献