Intrasubtest Scatter on Intellectual Measures As an Indicator of Poor Effort in Litigated Multidiagnostic Disability Claimants

2011 ◽  
Author(s):  
Luis M. Iturriaga
Keyword(s):  
Intrasubtest Scatter ◽  
Intellectual Measures

School Psychologists' and Teachers' Perceptions of Data Used in the Identification of Behaviorally Disordered Students

1984 ◽  
Vol 10 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Carl R. Smith ◽  
Alan R. Frank ◽  
Bill C. F. Snider
Keyword(s):  
Elementary Teachers ◽  
School Psychologists ◽  
Actual Behavior ◽  
Behaviorally Disordered ◽  
Teachers Perceptions ◽  
Inadequate Information ◽  
Intellectual Measures

To assess the availability, quality, and sufficiency of file information for students identified as behaviorally disordered, 60 student files were rated by 60 school psychologists and 60 elementary teachers of the behaviorally disordered. Student files consisted of information available at the time of staffing for students who were subsequently identified as behaviorally disordered. It was found that traditional types of data (academic and intellectual measures) were rated as being available and of highest quality, whereas behaviorally oriented data (e.g., actual behavior data) were available, but of lowest quality. In addition, 87% of the student files were perceived by at least one rater as containing inadequate information for the purpose of identifying students as behaviorally disordered. When asked about their opinions regarding the value of nine types of data for making identification decisions (without referring to specific student files), psychologists' and teachers' mean ratings were quite similar. Implications of these findings are discussed in relation to practices currently used to identify behaviorally disordered students.

Order of Item Difficulty on Picture Arrangement: Data from a Normal Elderly Sample

1989 ◽  
Vol 69 (3-2) ◽  
pp. 1217-1218
Author(s):  
Joseph J. Ryan ◽  
Anthony M. Paolo ◽  
Terry M. Brungardt
Keyword(s):  
Item Difficulty ◽  
Elderly Persons ◽  
Picture Arrangement ◽  
Intrasubtest Scatter

In a sample of 226 normal elderly persons the order of item difficulty for the WAIS—R Picture Arrangement subtest was examined. Means for age and education were 80.8 yr. ( SD = 5.2) and 10.9 yr. ( SD = 2.9), respectively. The current order of items does not conform to the expectation of increasing difficulty. When testing elderly persons, intrasubtest scatter on Picture Arrangement should not be used to infer pathology.

Order of Item Difficulty on Picture Arrangement: Data from a Normal Elderly Sample

1989 ◽  
Vol 69 (3_suppl) ◽  
pp. 1217-1218 ◽  
Author(s):  
Joseph J. Ryan ◽  
Anthony M. Paolo ◽  
Terry M. Brungardt
Keyword(s):  
Item Difficulty ◽  
Elderly Persons ◽  
Picture Arrangement ◽  
Intrasubtest Scatter

In a sample of 226 normal elderly persons the order of item difficulty for the WAIS—R Picture Arrangement subtest was examined. Means for age and education were 80.8 yr. ( SD = 5.2) and 10.9 yr. ( SD = 2.9), respectively. The current order of items does not conform to the expectation of increasing difficulty. When testing elderly persons, intrasubtest scatter on Picture Arrangement should not be used to infer pathology.

Intrasubtest scatter on the WAIS€”R as a pathognomonic sign of brain injury.

1989 ◽  
Vol 1 (4) ◽  
pp. 273-276 ◽  
Author(s):  
Wiley Mittenberg ◽  
Thomas A. Hammeke ◽  
Stephen M. Rao
Keyword(s):  
Brain Injury ◽  
Intrasubtest Scatter ◽  
Pathognomonic Sign

Intellectual loss in Alzheimer's dementia and WAIS-R intrasubtest scatter

1991 ◽  
Vol 47 (4) ◽  
pp. 544-547 ◽  
Author(s):  
Wiley Mittenberg ◽  
Garrie B. Thompson ◽  
Jodi A. Schwartz ◽  
Joseph J. Ryan ◽  
Robert Levitt
Keyword(s):  
Alzheimer’S Dementia ◽  
Alzheimer's Dementia ◽  
Intrasubtest Scatter

Prediction of Brain Damage in a Neurological Population with Cerebrovascular Accidents

1970 ◽  
Vol 31 (2) ◽  
pp. 595-601 ◽  
Author(s):  
Michael M. Burgess ◽  
Altan Kodanaz ◽  
Dewey K. Ziegler
Keyword(s):  
Multiple Regression ◽  
Brain Damage ◽  
Clinical Population ◽  
Predictor Variables ◽  
Regression Analyses ◽  
Cerebrovascular Accidents ◽  
Sensory Motor ◽  
Intellectual Measures ◽  
Student’S T ◽  
Single Predictor

A total of 15 intellectual and 12 sensory-motor variables were examined as predictors of brain damage in a neurological population with cerebrovascular accidents. Results obtained via Student's t tests and multiple regression analyses demonstrate that it is possible to predict brain damage significantly in this clinical population. Specific conclusions were: (1) as single predictor variables, sensory-motor measures are superior to intellectual measures; (2) brain damage as measured behaviorally is consistent across patient populations in neurological, psychiatric, and neurological sub-groups with CVA; and, (3) multiple variant prediction holds promise for diagnosis of brain damage in a CVA population.

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