Cognitive Processing of Weight and Emotional Information in Disordered Eating

Treat, Teresa A.; Viken, Richard J.

doi:10.1177/0963721410364007

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…Clinical mathematical psychology stands at the ready to contribute to progress in clinical science and assessment (see also Treat & Viken, 2010). Some readers may be put off by the requisite engagement in analytical developments (elaborated on in Neufeld, 2007a).…”

Section: Concluding Commentsmentioning

confidence: 99%

Formal Innovations in Clinical Cognitive Science and Assessment

Neufeld

Shanahan

2022

Curr Dir Psychol Sci

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Mathematical modeling is increasingly driving progress in clinical cognitive science and assessment. Mathematical modeling is essential for detecting certain effects of psychopathology through comprehensive understanding of telltale cognitive variables, such as workload capacity and efficiency in using capacity, as well as for quantitatively stipulating the subtle but important differences among these variables. The research paradigm guiding this formal clinical science is outlined. A distinctive cognitive abnormality in schizophrenia—taking longer to cognitively represent encountered stimulation—is used as a specific example to illustrate a general quantitative framework for studying intricate phenomena that impair mental health. Developments in mathematical modeling will also benefit symptom description and prediction; provide grounding in cognitive and statistical science for new methods of clinical assessment over time, both for individuals and for treatment regimens; and contribute to refining the cognitive-function side of clinical functional neurophysiology.

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Section: Concluding Commentsmentioning

confidence: 99%

Formal Innovations in Clinical Cognitive Science and Assessment

Neufeld

Shanahan

2022

Curr Dir Psychol Sci

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“…Many models of social comparison processes have remained at the level of verbal expression and have not made contact with quantitative cognitive models of judgment and decision-making, reflecting a lack of cross talk between cognitive models of context-based judgment and social approaches (cf. Treat & Viken, 2010; we note some exceptions below).…”

mentioning

confidence: 99%

Social sampling and expressed attitudes: Authenticity preference and social extremeness aversion lead to social norm effects and polarization.

Brown¹,

Lewandowsky²,

Huang³

2022

Psychological Review

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A cognitive model of social influence (Social Sampling Theory [SST]) is developed and applied to several social network phenomena including polarization and contagion effects. Social norms and individuals’ private attitudes are represented as distributions rather than the single points used in most models. SST is explored using agent-based modeling to link individual-level and network-level effects. People are assumed to observe the behavior of their social network neighbors and thereby infer the social distribution of particular attitudes and behaviors. It is assumed that (a) people dislike behaving in ways that are extreme within their neighborhood social norm ( social extremeness aversion assumption), and hence tend to conform and (b) people prefer to behave consistently with their own underlying attitudes ( authenticity preference assumption) hence minimizing dissonance. Expressed attitudes and behavior reflect a utility-maximizing compromise between these opposing principles. SST is applied to a number of social phenomena including (a) homophily and the development of segregated neighborhoods, (b) polarization, (c) effects of norm homogeneity on social conformity, (d) pluralistic ignorance and false consensus effects, (e) backfire effects, (f) interactions between world view and social norm effects, and (g) the opposing effects on subjective well-being of authentic behavior and high levels of social comparison. More generally, it is argued that explanations of social comparison require the variance, not just the central tendency, of both attitudes and beliefs about social norms to be accommodated.

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Clinical Mathematical Psychology

Shanahan

Townsend

Neufeld

2015

The Encyclopedia of Clinical Psychology

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Clinical mathematical psychology is the application of mathematical thinking to the examination of significant problems in psychopathology. Examination of psychopathological conditions can be done using mathematical approaches tailored to detecting deficits in cognitive and other functioning that are characteristic of a given disorder. Examples exist for schizophrenia, anxiety disorders, and several neurodegenerative disorders. Clinical mathematical psychology includes, more generally, the use of formal terms to specify interrelation of constructs of interest for pathological phenomena. This mathematically based way of addressing patterns of unhealthy psychological functioning provides more specified language for theory development and recruits advanced mathematics for formulating research questions. Clinical mathematical psychology can be a valuable tool for the scientific study of the causes, effects, and treatment of mental illness.

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Cognitive Processing of Weight and Emotional Information in Disordered Eating

Cited by 6 publications

References 15 publications

Formal Innovations in Clinical Cognitive Science and Assessment

Formal Innovations in Clinical Cognitive Science and Assessment

Social sampling and expressed attitudes: Authenticity preference and social extremeness aversion lead to social norm effects and polarization.

Clinical Mathematical Psychology

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