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  • 2016

  • Black, Jessica E. (2016): An introduction to the Moral Agency Scale. Individual differences in moral agency and their relationship to related moral constructs, free will, and blame attribution (PSYNDEXshort). In: Social Psychology 47 (6), S. 295-310

    Abstract: The purpose of this research was to develop a psychometric measure of moral agency and explore its relationship with related moral constructs. Although our legal system, daily interactions with others, and most theories about moral psychology assume moral agency, few researchers have studied it, and there is no instrument devised to specifically measure it. Here, we present the Moral Agency Scale (MAS), a self-report instrument designed to assess the extent to which participants feel control over their moral choices. In Study 1, the MAS demonstrated strict factorial invariance; validity is further supported by its relations to similar constructs and reported volunteering behavior. In Study 2, MAS scores were associated with free will beliefs, moral disengagement, and judgments of moral blame. Results are discussed with reference to theory and future directions for research.

  • 2013

  • Grieve, Rachel; Mahar, Doug (2013): Can social intelligence be measured? Psychometric properties of the Tromsø Social Intelligence Scale—English Version. In: The Irish Journal of Psychology 34 (1), S. 1-12. DOI: 10.1080/03033910.2012.737758

    DOI: https://doi.org/10.1080/03033910.2012.737758 

    Abstract: Despite its intuitive appeal as a construct relevant to a number of psychological outcomes, adequate operationalisation of social intelligence has been problematic for researchers. This research aimed to extend the understanding of the measurement of social intelligence by investigating the psychometric properties of the English version of Tromsø Social Intelligence Scale by Silvera, Martinussen and Dahl. Factor analysis (N = 328; Maximum Likelihood with Promax rotation) revealed three clear factors that paralleled the original Norwegian measure: social skills, social information processing and social awareness. Construct validity was also examined (N = 116). As predicted, social intelligence was strongly and significantly related to political skill, emotional intelligence (EI) and empathy in both males and females. In addition, as predicted, there were weak relationships with social desirability; however, for males, there was no relationship between social intelligence and social desirability. Internal reliability was adequate to good, and temporal stability over a 2-week interval was excellent. It is concluded that the English version of the scale has sound psychometric properties, that the factor structure of the Tromsø Social Intelligence Scale is stable in the English version and that the relationships evident with political skill, EI and empathy suggest that the measure is successfully capturing the nature of social intelligence. While social intelligence remains a difficult construct to operationalise, consideration of the construct within a developing nomological network is indicated. The Tromsø Social Intelligence Scale—English Version may be a useful tool for researchers aiming to operationalise trait or typical social intelligence in an easy to administer, self-report format in English-speaking samples. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

  • 2012

  • Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan (2012): Employing Textual and Facial Emotion Recognition to Design an Affective Tutoring System. In: Turkish Online Journal of Educational Technology - TOJET 11 (4), S. 418-426. Online verfügbar unter https://eric.ed.gov/?id=EJ989317, zuletzt geprüft am 22.11.2019

     

    Abstract: Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners’ emotional expression in learning process was observed in order to give an appropriate feedback. Emotional intelligent not only gives high flexibility to the interaction of tutoring system, it also to deepen its level of human interaction. This study uses dual-mode operation: facial expression recognition, and text semantics as the main elements in affective computing to understand users’ emotions. Text semantics are used to understand learners’ learning status, and the results would contribute to course management agents in order to choose the most appropriate teaching strategies and feedback to the users. Facial expression recognition allows interactive agents to provide users a complete sound and animation feedback. (Contains 5 tables and 3 figures.)

  • 1996

  • Laireiter, -a.-R. (1996): Inventory of Socially Supportive Behaviors - Deutsche Fassung. Inventar Sozial Unterstuetzender Verhaltensweisen

    Abstract: Diagnostische Zielsetzung: Das ISSB-d erfasst die erhaltene soziale Unterstuetzung im Alltag als Selbstbeurteilungsverfahren und kann zur raschen Erfassung der erhaltenen Unterstuetzung im Rahmen epidemiologischer Studien eingesetzt werden. Das Inventar soll nicht zur Erfassung belastungsbezogener Unterstuetzung eingesetzt werden, da die Items fuer diesen Zweck zu unspezifisch sind. Beim Einsatz im Verbund der SSU (SS-A-d, ISEL-d, ISSB-d) kann sowohl die erhaltene als auch die wahrgenommene Unterstuetzung im Alltag waehrend des letzten Monats untersucht werden.

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