An Investigation of Some Cognitive Factors Involved in Person-Perception during Selection Interviews

1989 ◽  
Vol 64 (3) ◽  
pp. 735-745 ◽  
Author(s):  
Julia Ferguson ◽  
Clive Fletcher
Keyword(s):  
Cognitive Complexity ◽  
Person Perception ◽  
Cognitive Integration ◽  
Cognitive Measures ◽  
Negatively Associated ◽  
Female Candidate ◽  
Wechsler Memory Scale ◽  
Cognitive Components ◽  
Selection Interviews ◽  
Opposite Sex

The study examined some of the cognitive components in accuracy of social perception during the selection interview. 75 undergraduates completed several cognitive measures and were then required to interview a candidate for the job of accountant and make ratings of the candidate on several dimensions. Analysis showed pervasive sex differences in accuracy, and many effects specific either to same sex or to opposite sex dyads. Accuracy of female interviewers tended to be associated with greater cognitive complexity and integration of the interviewers. Accuracy of male interviewers was more dependent on the sex of the candidate; when interviewing a male candidate, accuracy was negatively associated with cognitive integration and when interviewing a female candidate, accuracy was negatively associated with the logical memory and visual recall subscales of the Wechsler Memory Scale.

Comparison of Cognitive Structural Measures for Predicting Person Perception

1974 ◽  
Vol 38 (3) ◽  
pp. 727-730 ◽  
Author(s):  
Franz Epting ◽  
Greg Wilkins
Keyword(s):  
Regression Analysis ◽  
Person Perception ◽  
Predictive Ability ◽  
Cognitive Integration ◽  
Cognitive Measures ◽  
Positive Correlation ◽  
Perception Task ◽  
College Population ◽  
Two Measures ◽  
Conceptual Relationships

In a general college population, two measures of cognitive differentiation and two measures of cognitive integration were compared with each other and were used to predict integration of discrepant information in a standard person-perception task. The magnitude of the intercorrelations was very low, with no indication that differentiation measures correlated more with each other than with integration measures. Similar to the results obtained using other global trait measures of personality, the regression analysis employing these cognitive measures showed a low positive correlation with the impression task. The need for a reexamination of the conceptual relationships among these measures and the need to examine the conditions which influence the predictive ability of cognitive measures is discussed.

scholarly journals Fluid Cognitive Abilities Are Important for Learning and Retention of a New, Explicitly Learned Walking Pattern in Individuals After Stroke

2021 ◽  
pp. 154596832110010
Author(s):  
Margaret A. French ◽  
Matthew L. Cohen ◽  
Ryan T. Pohlig ◽  
Darcy S. Reisman
Keyword(s):  
Cognitive Abilities ◽  
Step Length ◽  
Cognitive Measures ◽  
Retention Models ◽  
Wechsler Memory Scale ◽  
Walking Pattern ◽  
Learning Principles ◽  
The Relationship ◽  
Sequential Regression ◽  
Neurologically Intact

Background There is significant variability in poststroke locomotor learning that is poorly understood and affects individual responses to rehabilitation interventions. Cognitive abilities relate to upper extremity motor learning in neurologically intact adults, but have not been studied in poststroke locomotor learning. Objective To understand the relationship between locomotor learning and retention and cognition after stroke. Methods Participants with chronic (>6 months) stroke participated in 3 testing sessions. During the first session, participants walked on a treadmill and learned a new walking pattern through visual feedback about their step length. During the second session, participants walked on a treadmill and 24-hour retention was assessed. Physical and cognitive tests, including the Fugl-Meyer-Lower Extremity (FM-LE), Fluid Cognition Composite Score (FCCS) from the NIH Toolbox -Cognition Battery, and Spatial Addition from the Wechsler Memory Scale-IV, were completed in the third session. Two sequential regression models were completed: one with learning and one with retention as the dependent variables. Age, physical impairment (ie, FM-LE), and cognitive measures (ie, FCCS and Spatial Addition) were the independent variables. Results Forty-nine and 34 participants were included in the learning and retention models, respectively. After accounting for age and FM-LE, cognitive measures explained a significant portion of variability in learning ( R2 = 0.17, P = .008; overall model R2 = 0.31, P = .002) and retention (Δ R2 = 0.17, P = .023; overall model R2 = 0.44, P = .002). Conclusions Cognitive abilities appear to be an important factor for understanding locomotor learning and retention after stroke. This has significant implications for incorporating locomotor learning principles into the development of personalized rehabilitation interventions after stroke.

Analysis of Existing Software Cognitive Complexity Measures

2017 ◽  
Vol 8 (4) ◽  
pp. 51-71
Author(s):  
Sanjay Misra ◽  
Adewole Adewumi ◽  
Robertas Damasevicius ◽  
Rytis Maskeliunas
Keyword(s):  
Comparative Analysis ◽  
Cognitive Complexity ◽  
Tool Support ◽  
Software Measurement ◽  
Cognitive Measures ◽  
Complexity Measures ◽  
Cognitive Informatics ◽  
It Complexity ◽  
Insight Into

In order to maintain the quality of software, it is important to measure it complexity. This provides an insight into the degree of comprehensibility and maintainability of the software. Measurement can be carried out using cognitive measures which are based on cognitive informatics. A number of such measures have been proposed in literature. The goal of this article is to identify the features and advantages of the existing measures. In addition, a comparative analysis is done based on some selected criteria. The results show that there is a similar trend in the output obtained from the different measures when they are applied to different examples. This makes it easy for adopting organisations to readily choose from the options based on the availability of tool support.

Innovativeness and Cognitive Complexity: A Second Look

1984 ◽  
Vol 55 (2) ◽  
pp. 431-438 ◽  
Author(s):  
Ronald E. Goldsmith ◽  
Nicholas Nugent
Keyword(s):  
Cognitive Complexity ◽  
Complexity Measure ◽  
Cognitive Integration ◽  
Second Look ◽  
Cognitive Differentiation ◽  
Highly Correlated ◽  
The Relationship

Innovativeness and cognitive complexity are hypothesized to be positively related. Since both constructs seem to be multi-dimensional, the methodological validity of the relationship is an especially important issue. Two studies were conducted using different measures of each construct. In the first, 82 undergraduates completed the Innovativeness Scale, the Open Processing Scale, and the Rep Test. The correlation between the two innovativeness scales was high, but the two with the cognitive complexity measure were non-significant. In the second, 81 undergraduates completed the Innovativeness Scale, the Open Processing Scale, and the Role Category Questionnaire. The innovativeness scales were highly correlated, but no significant correlations were found with the cognitive complexity measure. It seems that innovativeness is related, if at all, only with cognitive integration, not with cognitive differentiation.

Cognitive recovery and predictors of functional outcome 1 year after traumatic brain injury

2009 ◽  
Vol 15 (5) ◽  
pp. 740-750 ◽  
Author(s):  
SOLRUN SIGURDARDOTTIR ◽  
NADA ANDELIC ◽  
CECILIE ROE ◽  
ANNE-KRISTINE SCHANKE
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Functional Outcome ◽  
Injury Severity ◽  
Cognitive Measures ◽  
Related Factors ◽  
Predictive Values ◽  
Neuropsychological Measures ◽  
Cognitive Components ◽  
One Year

AbstractOutcome studies on traumatic brain injury (TBI) have shown that functional status can be predicted by demographic, injury severity, and trauma-related factors. Concurrent cognitive functions as one of the determinants of functional outcome is less documented. This study evaluated the effects of concurrent neuropsychological measures on functional outcome 1 year after injury. Neuropsychological data, employment status, self-reported fatigue, and the Glasgow Outcome Scale-Extended (GOSE) were collected from 115 persons with TBI (ranging from mild to severe) at 3 and 12 months postinjury. Principal components analysis was conducted with the neuropsychological measures and three components emerged. Multiple regression analysis, controlling for demographic and injury severity related factors, was used to test the effects of cognitive components at 12 months on functional outcome (GOSE). One year after injury, 64% were categorized as “good recovery” and 36% as “moderate disability” according to GOSE. Good functional recovery depended on shorter duration of posttraumatic amnesia, less fatigue, absence of intracranial pathology, higher education, and better performance on cognitive measures. The predictive values of Verbal/Reasoning and Visual/Perception components are supported; each added significantly and improved prediction of functional outcome. The Memory/Speed component showed a near-significant relationship to outcome. (JINS, 2009, 15, 740–750)

Changes in Person Perception as a Function of Dress

1969 ◽  
Vol 29 (1) ◽  
pp. 191-194 ◽  
Author(s):  
Paul N. Hamid
Keyword(s):  
Analysis Of Variance ◽  
Person Perception ◽  
Female Students ◽  
Opposite Sex

8 photographs of adolescents under 4 conditions of dress were rated by 30 male and 30 female students on 10 concepts. An analysis of variance showed extreme responding in rating the opposite sex, but the major proportion of variance was attributable to this effect in interaction with dress condition.

Information-Seeking Strategies in Person Perception

1968 ◽  
Vol 26 (2) ◽  
pp. 355-365 ◽  
Author(s):  
Louis Nidorf
Keyword(s):  
Information Seeking ◽  
Cognitive Complexity ◽  
Person Perception ◽  
Stimulus Person ◽  
Input Information ◽  
Amount Of Information ◽  
Initial Impressions

Information sought by Ss desiring to form an impression of a stimulus person was explored in relation to (1) the sex of the S, (2) the sex of the stimulus person, and (3) the valence of the initial input information. The results were interpreted in terms of various information-seeking strategies used by Ss in matching the additional sought information to their initial impressions. A fourth variable, S's cognitive complexity, was found to be related to the amount of information sought by females: the more cognitively complex females sought the most information in forming their impressions of a stimulus person.

Sign in / Sign up

Export Citation Format

Share Document