The Index Predicting Power and Feedback Processing Characteristics in the WCST

Xia Feng; Chengzhi Feng

doi:doi:10.11648/j.pbs.20190803.13

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The Index Predicting Power and Feedback Processing Characteristics in the WCST

Xia Feng, Chengzhi Feng

Published in Psychology and Behavioral Sciences (Volume 8, Issue 3)

Received: 5 May 2019 Accepted: 12 June 2019 Published: 26 June 2019

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Abstract

Based on the performance of the Wisconsin Card Sorting Test (WCST), participants can be divided into high and low cognitive flexibility groups. The cognitive differences between the two groups need further study. However, studies have grouped participants according to different criteria of the WCST. Based on the classical WCST, the present study investigated two issues in college students: (1) the power of indexes for predicting performance, and (2) the feedback processing characteristics of high and low cognitive flexibility participants. The regression analysis showed TCF (trials to complete the first classification) and PR% (the percentage of perseverative response) were powerful predictors. We further divided participants into high and low cognitive flexibility groups according to the regression equation. Regarding the feedback processing characteristics, we classified all trials in rule-search phase as one of four types: correct-correct (coCO), correct-error (coER), error-error (erER), and error-correct (erCO), which were based on the relationship between the former feedback and the current response. The results revealed that compared with the low cognitive flexibility group, the high cognitive flexibility group could learn effectively from feedback. Differences in the feedback processing ability may be one of the reasons for the differential performance of college students on the WCST task.

Published in	Psychology and Behavioral Sciences (Volume 8, Issue 3)
DOI	10.11648/j.pbs.20190803.13
Page(s)	72-78
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

WCST, Perseverative Response, Cognitive Flexibility, Feedback Process

References

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APA Style

Xia Feng, Chengzhi Feng. (2019). The Index Predicting Power and Feedback Processing Characteristics in the WCST. Psychology and Behavioral Sciences, 8(3), 72-78. https://doi.org/10.11648/j.pbs.20190803.13

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ACS Style

Xia Feng; Chengzhi Feng. The Index Predicting Power and Feedback Processing Characteristics in the WCST. Psychol. Behav. Sci. 2019, 8(3), 72-78. doi: 10.11648/j.pbs.20190803.13

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AMA Style

Xia Feng, Chengzhi Feng. The Index Predicting Power and Feedback Processing Characteristics in the WCST. Psychol Behav Sci. 2019;8(3):72-78. doi: 10.11648/j.pbs.20190803.13

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@article{10.11648/j.pbs.20190803.13,
  author = {Xia Feng and Chengzhi Feng},
  title = {The Index Predicting Power and Feedback Processing Characteristics in the WCST},
  journal = {Psychology and Behavioral Sciences},
  volume = {8},
  number = {3},
  pages = {72-78},
  doi = {10.11648/j.pbs.20190803.13},
  url = {https://doi.org/10.11648/j.pbs.20190803.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20190803.13},
  abstract = {Based on the performance of the Wisconsin Card Sorting Test (WCST), participants can be divided into high and low cognitive flexibility groups. The cognitive differences between the two groups need further study. However, studies have grouped participants according to different criteria of the WCST. Based on the classical WCST, the present study investigated two issues in college students: (1) the power of indexes for predicting performance, and (2) the feedback processing characteristics of high and low cognitive flexibility participants. The regression analysis showed TCF (trials to complete the first classification) and PR% (the percentage of perseverative response) were powerful predictors. We further divided participants into high and low cognitive flexibility groups according to the regression equation. Regarding the feedback processing characteristics, we classified all trials in rule-search phase as one of four types: correct-correct (coCO), correct-error (coER), error-error (erER), and error-correct (erCO), which were based on the relationship between the former feedback and the current response. The results revealed that compared with the low cognitive flexibility group, the high cognitive flexibility group could learn effectively from feedback. Differences in the feedback processing ability may be one of the reasons for the differential performance of college students on the WCST task.},
 year = {2019}
}

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TY  - JOUR
T1  - The Index Predicting Power and Feedback Processing Characteristics in the WCST
AU  - Xia Feng
AU  - Chengzhi Feng
Y1  - 2019/06/26
PY  - 2019
N1  - https://doi.org/10.11648/j.pbs.20190803.13
DO  - 10.11648/j.pbs.20190803.13
T2  - Psychology and Behavioral Sciences
JF  - Psychology and Behavioral Sciences
JO  - Psychology and Behavioral Sciences
SP  - 72
EP  - 78
PB  - Science Publishing Group
SN  - 2328-7845
UR  - https://doi.org/10.11648/j.pbs.20190803.13
AB  - Based on the performance of the Wisconsin Card Sorting Test (WCST), participants can be divided into high and low cognitive flexibility groups. The cognitive differences between the two groups need further study. However, studies have grouped participants according to different criteria of the WCST. Based on the classical WCST, the present study investigated two issues in college students: (1) the power of indexes for predicting performance, and (2) the feedback processing characteristics of high and low cognitive flexibility participants. The regression analysis showed TCF (trials to complete the first classification) and PR% (the percentage of perseverative response) were powerful predictors. We further divided participants into high and low cognitive flexibility groups according to the regression equation. Regarding the feedback processing characteristics, we classified all trials in rule-search phase as one of four types: correct-correct (coCO), correct-error (coER), error-error (erER), and error-correct (erCO), which were based on the relationship between the former feedback and the current response. The results revealed that compared with the low cognitive flexibility group, the high cognitive flexibility group could learn effectively from feedback. Differences in the feedback processing ability may be one of the reasons for the differential performance of college students on the WCST task.
VL  - 8
IS  - 3
ER  -

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Author Information

Xia Feng

Department of Psychology, Soochow University, Suzhou, China
Chengzhi Feng

Department of Psychology, Soochow University, Suzhou, China

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Xia Feng, Chengzhi Feng. (2019). The Index Predicting Power and Feedback Processing Characteristics in the WCST. Psychology and Behavioral Sciences, 8(3), 72-78. https://doi.org/10.11648/j.pbs.20190803.13

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ACS Style

Xia Feng; Chengzhi Feng. The Index Predicting Power and Feedback Processing Characteristics in the WCST. Psychol. Behav. Sci. 2019, 8(3), 72-78. doi: 10.11648/j.pbs.20190803.13

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AMA Style

Xia Feng, Chengzhi Feng. The Index Predicting Power and Feedback Processing Characteristics in the WCST. Psychol Behav Sci. 2019;8(3):72-78. doi: 10.11648/j.pbs.20190803.13

Copy | Download

@article{10.11648/j.pbs.20190803.13,
  author = {Xia Feng and Chengzhi Feng},
  title = {The Index Predicting Power and Feedback Processing Characteristics in the WCST},
  journal = {Psychology and Behavioral Sciences},
  volume = {8},
  number = {3},
  pages = {72-78},
  doi = {10.11648/j.pbs.20190803.13},
  url = {https://doi.org/10.11648/j.pbs.20190803.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20190803.13},
  abstract = {Based on the performance of the Wisconsin Card Sorting Test (WCST), participants can be divided into high and low cognitive flexibility groups. The cognitive differences between the two groups need further study. However, studies have grouped participants according to different criteria of the WCST. Based on the classical WCST, the present study investigated two issues in college students: (1) the power of indexes for predicting performance, and (2) the feedback processing characteristics of high and low cognitive flexibility participants. The regression analysis showed TCF (trials to complete the first classification) and PR% (the percentage of perseverative response) were powerful predictors. We further divided participants into high and low cognitive flexibility groups according to the regression equation. Regarding the feedback processing characteristics, we classified all trials in rule-search phase as one of four types: correct-correct (coCO), correct-error (coER), error-error (erER), and error-correct (erCO), which were based on the relationship between the former feedback and the current response. The results revealed that compared with the low cognitive flexibility group, the high cognitive flexibility group could learn effectively from feedback. Differences in the feedback processing ability may be one of the reasons for the differential performance of college students on the WCST task.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - The Index Predicting Power and Feedback Processing Characteristics in the WCST
AU  - Xia Feng
AU  - Chengzhi Feng
Y1  - 2019/06/26
PY  - 2019
N1  - https://doi.org/10.11648/j.pbs.20190803.13
DO  - 10.11648/j.pbs.20190803.13
T2  - Psychology and Behavioral Sciences
JF  - Psychology and Behavioral Sciences
JO  - Psychology and Behavioral Sciences
SP  - 72
EP  - 78
PB  - Science Publishing Group
SN  - 2328-7845
UR  - https://doi.org/10.11648/j.pbs.20190803.13
AB  - Based on the performance of the Wisconsin Card Sorting Test (WCST), participants can be divided into high and low cognitive flexibility groups. The cognitive differences between the two groups need further study. However, studies have grouped participants according to different criteria of the WCST. Based on the classical WCST, the present study investigated two issues in college students: (1) the power of indexes for predicting performance, and (2) the feedback processing characteristics of high and low cognitive flexibility participants. The regression analysis showed TCF (trials to complete the first classification) and PR% (the percentage of perseverative response) were powerful predictors. We further divided participants into high and low cognitive flexibility groups according to the regression equation. Regarding the feedback processing characteristics, we classified all trials in rule-search phase as one of four types: correct-correct (coCO), correct-error (coER), error-error (erER), and error-correct (erCO), which were based on the relationship between the former feedback and the current response. The results revealed that compared with the low cognitive flexibility group, the high cognitive flexibility group could learn effectively from feedback. Differences in the feedback processing ability may be one of the reasons for the differential performance of college students on the WCST task.
VL  - 8
IS  - 3
ER  -

Copy | Download