Proposed Computational Classification System of Human Cognitive Biases

International Research and Variation in Views of Ethnicity

Perspectives on Global Issues in Communication Sciences and Related Disorders ◽

10.1044/gics2.2.66 ◽

2012 ◽

Vol 2 (2) ◽

pp. 66-72

Author(s):

Ella Inglebret ◽

Amy Skinder-Meredith ◽

Shana Bailey ◽

Carla Jones ◽

Ashley France

Keyword(s):

United States ◽

Classification System ◽

International Research ◽

The United States ◽

Research Articles ◽

Journal Articles ◽

Research Participants ◽

The Past ◽

International Scale ◽

Publication Patterns

The authors in this article first identify the extent to which research articles published in three American Speech-Language-Hearing Association (ASHA) journals included participants, age birth to 18 years, from international backgrounds (i.e., residence outside of the United States), and go on to describe associated publication patterns over the past 12 years. These patterns then provide a context for examining variation in the conceptualization of ethnicity on an international scale. Further, the authors examine terminology and categories used by 11 countries where research participants resided. Each country uses a unique classification system. Thus, it can be expected that descriptions of the ethnic characteristics of international participants involved in research published in ASHA journal articles will widely vary.

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A Novel Classification System for Spinal Instability in Neoplastic Disease: An Evidence-Based Approach and Expert Consensus From the Spine Oncology Study Group

Yearbook of Neurology and Neurosurgery ◽

10.1016/j.yneu.2011.05.003 ◽

2011 ◽

Vol 2011 ◽

pp. 284-286

Author(s):

R. Riesenburger

Keyword(s):

Classification System ◽

Expert Consensus ◽

Spinal Instability ◽

Neoplastic Disease ◽

Study Group ◽

Evidence Based

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Application of multi-axial EEG classification system to hyperammonemiac unconsciousness

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88942-4 ◽

1997 ◽

Vol 103 (1) ◽

pp. 197

Author(s):

N Murata

Keyword(s):

Classification System ◽

Eeg Classification

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Multidimensional Anxiety and Content-specificity Effects in Preferential Processing of Threat

European Psychologist ◽

10.1027//1016-9040.8.4.252 ◽

2003 ◽

Vol 8 (4) ◽

pp. 252-265 ◽

Cited By ~ 9

Author(s):

Manuel G. Calvo ◽

P. Avero ◽

M. Dolores Castillo ◽

Juan J. Miguel-Tobal

Keyword(s):

Selective Attention ◽

Cognitive Biases ◽

Naming Task ◽

Color Naming ◽

Memory Bias ◽

Ego Threat ◽

Phobic Anxiety ◽

Relative Contribution ◽

Content Specificity ◽

Specificity Effects

We examined the relative contribution of specific components of multidimensional anxiety to cognitive biases in the processing of threat-related information in three experiments. Attentional bias was assessed by the emotional Stroop word color-naming task, interpretative bias by an on-line inference processing task, and explicit memory bias by sensitivity (d') and response criterion (β) from word-recognition scores. Multiple regression analyses revealed, first, that phobic anxiety and evaluative anxiety predicted selective attention to physical- and ego-threat information, respectively; cognitive anxiety predicted selective attention to both types of threat. Second, phobic anxiety predicted inhibition of inferences related to physically threatening outcomes of ambiguous situations. And, third, evaluative anxiety predicted a response bias, rather than a genuine memory bias, in the reporting of presented and nonpresented ego-threat information. Other anxiety components, such as motor and physiological anxiety, or interpersonal and daily-routines anxiety made no specific contribution to any cognitive bias. Multidimensional anxiety measures are useful for detecting content-specificity effects in cognitive biases.

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