940 resultados para cued fear conditioning
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"June 1968."
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"November 1966."
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"March 1969."
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"February 1970."
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Includes bibliographical references (p. 103-147).
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Mode of access: Internet.
Summary report on air conditioning of railroad passenger cars. Chicago, Illinois, November 24, 1936.
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Mode of access: Internet.
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Includes bibliography.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Mode of access: Internet.
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Hofstede's dimension of national culture termed Masculinity-Femininity [Hofstede (1991). Cultures and organizations: software of the mind. London: McGraw-Hill] is proposed to be of relevance for understanding national-level differences in self-assessed agoraphobic fears. This prediction is based on the classical work of Fodor [Fodor (1974). In: V. Franks & V. Burtle (Eds.), Women in therapy: new psychotherapies for a changing society. New York: Brunner/Mazel]. A unique data set comprising 11 countries (total N = 5491 students) provided the opportunity of scrutinizing this issue. It was hypothesized and found that national Masculinity (the degree to which cultures delineate sex roles, with masculine or tough societies making clearer differentiations between the sexes than feminine or modest societies do) would correlate positively with national agoraphobic fear levels (as assessed with the Fear Survey Schedule-III). Following the correction for sex and age differences across national samples, a significant and large effect-sized national-level (ecological) r = +0.67 (P = 0.01) was found. A highly feminine society such as Sweden had the lowest, whereas the champion among the masculine societies, Japan, had the highest national Agoraphobic fear score. (C) 2003 Elsevier Science Ltd. All rights reserved.
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The effects of unconditional stimulus (US) valence (aversive electro-tactile stimulus vs. nonaversive imperative stimulus of a RT task) and conditioning paradigm (delay vs. trace) on affective learning as indexed by verbal ratings of conditional stimulus (CS) pleasantness and blink startle modulation and on relational learning as indexed by electrodermal responses were investigated. Affective learning was not affected by the conditioning paradigm; however, electrodermal responses and blink latency shortening indicated delayed learning in the trace procedure. Changes in rated CS pleasantness were found with the aversive US, but not with the non-aversive US. Differential conditioning as indexed by electrodermal responses and startle modulation was found regardless of US valence. The finding of significant differential blink modulation and electrodermal responding in the absence of a change in rated CS pleasantness as a result of conditioning with a non-aversive US was replicated in a second experiment. These results seem to indicate that startle modulation during conditioning is mediated by the arousal level of the anticipated US, rather than by the valence of the CS. (C) 2002 Elsevier Science (USA). All rights reserved.
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Research in conditioning (all the processes of preparation for competition) has used group research designs, where multiple athletes are observed at one or more points in time. However, empirical reports of large inter-individual differences in response to conditioning regimens suggest that applied conditioning research would greatly benefit from single-subject research designs. Single-subject research designs allow us to find out the extent to which a specific conditioning regimen works for a specific athlete, as opposed to the average athlete, who is the focal point of group research designs. The aim of the following review is to outline the strategies and procedures of single-subject research as they pertain to.. the assessment of conditioning for individual athletes. The four main experimental designs in single-subject research are: the AB design, reversal (withdrawal) designs and their extensions, multiple baseline designs and alternating treatment designs. Visual and statistical analyses commonly used to analyse single-subject data, and advantages and limitations are discussed. Modelling of multivariate single-subject data using techniques such as dynamic factor analysis and structural equation modelling may identify individualised models of conditioning leading to better prediction of performance. Despite problems associated with data analyses in single-subject research (e.g. serial dependency), sports scientists should use single-subject research designs in applied conditioning research to understand how well an intervention (e.g. a training method) works and to predict performance for a particular athlete.