Factorial Pattern Description and Comparison of Functional Abilities in Neuropsychological Assessment

1979 ◽  
Vol 48 (1) ◽  
pp. 231-241 ◽  
Author(s):  
Dennis P. Swiercinsky
Keyword(s):  
Factor Analysis ◽  
Brain Damage ◽  
Neuropsychological Assessment ◽  
Neuropsychological Test ◽  
Principal Factor ◽  
Functional Abilities ◽  
Neuropsychological Battery ◽  
Pattern Description ◽  
Organic Brain ◽  
Categorical Scheme

A principal factor analysis of 36 neuropsychological test variables yielded eight readily definable factors. These factors represent the kinds of general functions evaluated in the assessment of organic brain damage. The functional categorical scheme produced by the factor analysis was compared with other empirical and theoretical schemes. Shortcomings of the traditional neuropsychological battery were discussed in terms of the factors.

Neuropsychological Test Performance and Employment Status in Patients Referred for Assessment

1989 ◽  
Vol 69 (3-1) ◽  
pp. 899-902 ◽  
Author(s):  
R. Walter Heinrichs
Keyword(s):  
Brain Damage ◽  
Neuropsychological Assessment ◽  
Test Performance ◽  
Employment Status ◽  
Neuropsychological Test ◽  
The Other ◽  
Neuropsychological Impairment ◽  
T Score ◽  
Summary Index ◽  
Explained Variance

A summary index of neuropsychological impairment (mean Luria-Nebraska T score), along with age, education, and presence/absence of confirmed brain disease, was used to predict employment status (working/not working). Subjects were 50 patients referred for neuropsychological assessment of confirmed or suspected brain damage. The Luria-Nebraska index contributed about 8% of explained variance independently of the other predictors. The joint validity was about 29% of criterion variance. This is related to issues in the use of neuropsychological data to predict functional variables.

Factor structure of the CERAD neuropsychological battery

2004 ◽  
Vol 10 (4) ◽  
pp. 559-565 ◽  
Author(s):  
MILTON E. STRAUSS ◽  
THOMAS FRITSCH
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Factor Analysis ◽  
Quantitative Methods ◽  
Common Factor ◽  
Principal Factor ◽  
Analysis Method ◽  
Neuropsychological Battery ◽  
Number Of Factors

The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was developed to evaluate cognitive impairments associated with Alzheimer's disease (AD). Previous studies have suggested that the battery is multi-dimensional, represented by either 3 or 5 dimensions. In this study a principal factor analysis was conducted using contemporary quantitative methods for determining the number of factors. Exploratory factor analysis of the CERAD battery and MMSE was conducted using one-half of the CERAD database (total N = 969). Glorfeld's modification of Horn's parallel analysis method suggested that there was 1 common factor in the variable matrix. Characterization of patterns of deficits in AD requires supplementation of measures derived from the CERAD and MMSE with other tests. (JINS, 2004, 10, 559–565.)

Computerized Interpretation of the Luria-Nebraska Neuropsychological Battery: A Pilot Study

1990 ◽  
Vol 71 (1) ◽  
pp. 83-86
Author(s):  
Arthur MacNeill Horton ◽  
Jack Vaeth ◽  
Juline Anilane
Keyword(s):  
Pilot Study ◽  
Computer Program ◽  
Brain Damage ◽  
Test Data ◽  
Computer Analysis ◽  
Neuropsychological Test ◽  
Neuropsychological Battery ◽  
Validation Data ◽  
Hit Rate ◽  
Initial Validation

Programs for the computer analysis and interpretation of neuropsychological test data have been developed in recent years. In this paper, a new computer program, with initial validation data, is presented. Diagnostic hit rate for brain damage was 80% (52 of 65). For the extent of brain damage the hit rate was 60% (12 of 20). When laterality was considered, the hit rate was 71% (10 of 14). These results are comparable with computer programs for data from the Halstead-Reitan Neuropsychology Test Battery.

Halstead-Reitan Test Battery: A Problem of Differential Diagnosis

1980 ◽  
Vol 50 (2) ◽  
pp. 611-630
Author(s):  
Irmingard I. Lenzer
Keyword(s):  
Brain Damage ◽  
Test Performance ◽  
Construct Validation ◽  
Neuropsychological Test ◽  
Summary Score ◽  
Test Battery ◽  
Medical Patients ◽  
Test Taking ◽  
Limited Applicability ◽  
Schizophrenic Patients

The Halstead-Reitan Test Battery is one of the most widely recognized neuropsychological test batteries. Many claims have been made as to its validity. Despite these claims, doubts persist. A critical review of the literature shows that the battery can separate brain-damaged patients from normal patients, general medical patients, and patients with certain psychiatric disorders. However, the battery cannot separate brain-damaged patients as a group from schizophrenics as a group, though in individual cases there may exist pathognomonic signs indicating brain damage. The impairment index, as a summary score of the basic tests, as well as other “methods of inference,” fail at this point. Four alternatives are discussed. First, brain-damaged patients differ from schizophrenic patients not in test performance but in test-taking behavior. Second, the battery is a valid measure of brain damage but has limited applicability. Third, the battery is a measure not of brain damage but of degree of degradation of psychological processes. And fourth, schizophrenics perform poorly on the battery because they have undetected brain damage. Only the third and fourth alternatives appear viable. Both question the validity of the traditional criteria of brain damage. It is argued that future validation studies of the battery should be of construct validation type and not of the criterion-oriented type, as these are defined by Cronbach and Meehl (1955). Possible procedures for construct validation are briefly discussed.

Use of principal factor analysis to generate a corn silage fermentative quality index to rank well- or poorly preserved forages

2015 ◽  
Vol 96 (5) ◽  
pp. 1686-1696 ◽  
Author(s):  
Antonio Gallo ◽  
Gianluca Giuberti ◽  
Sara Bruschi ◽  
Paola Fortunati ◽  
Francesco Masoero
Keyword(s):  
Factor Analysis ◽  
Quality Index ◽  
Principal Factor ◽  
Corn Silage ◽  
Principal Factor Analysis

K–ABC Simultaneous Processing, Das Nonverbal Reasoning, and Horn's Expanded Fluid-Crystallized Theory

1999 ◽  
Vol 84 (2) ◽  
pp. 563-574 ◽  
Author(s):  
David V. Daleo ◽  
Brian R. Lopez ◽  
Jason C. Cole ◽  
Alan S. Kaufman ◽  
Nadeen L. Kaufman ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Fluid Intelligence ◽  
Principal Factor ◽  
Considerable Extent ◽  
Differential Ability Scales ◽  
Assessment Battery ◽  
Clear Cut ◽  
Simultaneous Processing ◽  
Differential Ability ◽  
Nonverbal Reasoning

Horn's distinction between fluid intelligence (Gf) and visualization (Gv) was investigated with two Nonverbal Reasoning subtests from the Differential Ability Scales and three Simultaneous Processing subtests from the Kaufman Assessment Battery for Children. The sample comprised a predominantly Euro-American group of 57 normal boys and girls between the ages of 6 and 12 years. Principal factor analysis yielded clear-cut Gf and Gv dimensions. The Gf factor was composed both of Differential Ability Scales and Kaufman–ABC subtests, suggesting that the construct of simultaneous processing is not merely a measure of Gv, as some researchers have hypothesized, but also measures Horn's Gf fluid intelligence to a considerable extent.

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