Formal Innovations in Clinical Cognitive Science and Assessment

被引：0

作者：

Neufeld, Richard W. J. ^{[1
,2
,3
,4
]}

Shanahan, Matthew J. ^{[1
]}

机构：

[1] Western Univ, Dept Psychol, London, ON, Canada

[2] Western Univ, Dept Psychiat, London, ON, Canada

[3] Western Univ, Neurosci Program, London, ON, Canada

[4] Univ British Columbia, Dept Psychol, Okanagan Campus, Vancouver, BC, Canada

来源：

CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE | 2022年 / 31卷 / 03期

关键词：

clinical mathematical modeling; cognitive assessment; cognition in schizophrenia; formal cognitive neuroimaging; cognitive mixture models; INFORMATION; CRITERIA; MODEL;

D O I：

10.1177/09637214211070816

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

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.

引用

页码：215 / 222

页数：8

共 36 条

[1]

Ahn Woo-Young, 2011, J Neurosci Psychol Econ, V4, P95

[2] Comparing Eight Parameter Estimation Methods for the Ratcliff Diffusion Model Using Free Software [J].

Alexandrowicz, Rainer W. ;

Gula, Bartosz .

FRONTIERS IN PSYCHOLOGY, 2020, 11

[3]

[Anonymous], 1993, Statistical Distributions

[4]

[Anonymous], 2011, Isaac Newton's Scientific Method

[5]

Berger J. O., 1985, Statistical decision theory and Bayesian analysis, DOI 10.1007/978-1-4757-4286-2

[6]

Braithwaite R.B., 1968, SCI EXPLANATION STUD

[7] Model comparisons and model selections based on generalization criterion methodology [J].

Busemeyer, JR ;

Wang, YM .

JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2000, 44 (01) :171-189

[8] Cognitive processing of facial affect: Connectionist model of deviations in schizophrenia [J].

Carter, Jeffrey R. ;

Neufeld, Richard W. J. .

JOURNAL OF ABNORMAL PSYCHOLOGY, 2007, 116 (02) :290-305

[9] Application of process models in assessment psychology: Potential assets and challenges [J].

Carter, JR ;

Neufeld, RWJ ;

Benn, K .

PSYCHOLOGICAL ASSESSMENT, 1998, 10 (04) :379-395

[10] Cognitive processing of multidimensional stimuli in schizophrenia: Formal modeling of judgment speed and content [J].

Carter, JR ;

Neufeld, RWJ .

JOURNAL OF ABNORMAL PSYCHOLOGY, 1999, 108 (04) :633-654

← 1 2 3 4 →