Assessment Instruments for Asperger Syndrome

2000 ◽  
Vol 5 (3) ◽  
pp. 120-129 ◽  
Author(s):  
Patricia Howlin

This review describes the current situation with regard to diagnostic instruments for Asperger syndrome. The paucity of such instruments, and the lack of adequate standardisation data amongst the few that do exist, represent a serious omission for both clinicians and researchers. The major problem limiting the development of effective diagnostic or screening instruments is the confusion inherent in ICD-10 and DSM-1V systems in differentiating autism from Asperger syndrome. In the absence of clear and clinically satisfactory diagnostic criteria, efforts to develop valid assessment instruments may be attempting to put the horse before the cart!

Author(s):  
Thandeka Mdladlo ◽  
Penelope Flack ◽  
Robin Joubert

This article presents the results of a survey conducted on Speech-Language Therapists (SLTs) regarding current practices in the assessment of English Additional Language (EAL) speakers in South Africa. It forms part of the rationale for a broader (PhD) study that critiques the use of assessment instruments on EAL speakers from an indigenous linguistic and cultural background. This article discusses an aspect of the broader research and presents the background, method, findings, discussion and implications of the survey. The results of this survey highlight the challenges of human and material resources to, and the dominance of English in, the profession in South Africa. The findings contribute to understanding critical factors for acquiring reliable and valid assessment results with diverse populations, particularly the implications from a cultural and linguistic perspective.[PDF to follow]


Author(s):  
MARJA-LEENA MATTILA ◽  
MARKO KIELINEN ◽  
KATJA JUSSILA ◽  
SIRKKA-LIISA LINNA ◽  
RISTO BLOIGU ◽  
...  

2014 ◽  
Vol 29 (6) ◽  
pp. 554-554 ◽  
Author(s):  
D. Rogers ◽  
B. Evans ◽  
C. Roberts ◽  
A. Cuc ◽  
W. Mittenberg
Keyword(s):  
Dsm 5 ◽  

1996 ◽  
Vol 29 (5) ◽  
pp. 260-266 ◽  
Author(s):  
R.-D. Stieglitz ◽  
H.J. Freyberger ◽  
C.P. Malchow ◽  
H. Dilling

2008 ◽  
Vol 136 (9-10) ◽  
pp. 555-558
Author(s):  
Smiljka Popovic-Deusic ◽  
Milica Pejovic-Milovancevic ◽  
Saveta Draganic-Gajic ◽  
Olivera Aleksic-Hil ◽  
Dusica Lecic-Tosevski

For a long time, there was a strong belief of existing continuity between childhood-onset psychoses and adult psychoses. Important moment in understanding psychotic presentations during infancy and childhood is Kanner's description of early infantile autism. Later studies of Rutter and Kolvin, as well as new classification systems, have delineated pervasive developmental disorders from all other psychotic disorders in childhood. But clinical experience is showing that in spite of existence of the group of pervasive developmental disorders with subgroups within it and necessary diagnostic criteria there are children with pervasive symptoms, who are not fulfilling all necessary diagnostic criteria for pervasive developmental disorder. Therefore, in this paper we are discussing and pointing at psychotic spectrum presentations in children, which have not the right place in any existing classification system (ICD-10, DSM-IV).


2021 ◽  
Author(s):  
Brad W. Brazeau ◽  
David C. Hodgins

Abstract The National Opinion Research Center (NORC) Diagnostic Screen for Gambling Problems (NODS) is one of the most used outcome measures in gambling intervention trials. However, a screen based on DSM-5 gambling disorder criteria has yet to be developed or validated since the DSM-5 release in 2013. This omission is possibly because the criteria for gambling disorder only underwent minor changes from DSM-IV to DSM-5: the diagnostic threshold was reduced from 5 to 4 criteria, and the illegal activity criterion was removed. Validation of a measure that captures these changes is still warranted. The current study examined the psychometric properties of an online self-report past-year adaptation of the NODS based on DSM-5 diagnostic criteria for gambling disorder. Additionally, the new NODS was evaluated for how well it identifies ICD-10 pathological gambling. A diverse sample of participants (N = 959) was crowdsourced via Amazon’s TurkPrime. Internal consistency and one-week test-retest reliability were good. High correlations (r = .74–.77) with other measures of gambling problem severity were observed in addition to moderate correlations (r = .21–.36) with related but distinct constructs (e.g., gambling expenditures, time spent gambling, other addictive behaviours). All nine of the DSM-5 criteria loaded positively on one principal component, which accounted for 40% of the variance. Classification accuracy (i.e., sensitivity, specificity, predictive power) was generally very good with respect to the PGSI and ICD-10 diagnostic criteria. Future validation studies are encouraged to establish a gold standard measurement of gambling problem severity.


1991 ◽  
Vol 3 (2) ◽  
pp. 349-351
Author(s):  
A. S. Henderson

The etymology of delirium is highly expressive: it comes from the Latin de, meaning down or away from, and lira, a furrow or track in the fields; that is, to be off the track. The precise features of the syndrome have been specified in DSM-111-R (American Psychiatric Association, 1987) and in the Draft ICD-10 Diagnostic Criteria for Research (World Health Organization, 1990).


Stroke ◽  
1996 ◽  
Vol 27 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Tilman Wetterling ◽  
Rolf-Dieter Kanitz ◽  
Karl-Jochen Borgis

1998 ◽  
Vol 25 (2) ◽  
pp. 399-409 ◽  
Author(s):  
John Schafer ◽  
Cheryl J. Cherpitel

A number of screening instruments for alcohol dependence (AD) or problem drinking are currently in use in primary care settings. This study tests for differential item functioning by gender and ethnicity of the CAGE, TWEAK, brief MAST (BMAST), and AUDIT in 492 emergency room patients with lifetime drinking experience. As the referent standard, the Composite International Diagnostic Interview (CIDI) was used to establish whether the participant was either alcohol dependent or a harmful drinker according to ICD-10 criteria. Differential item functioning (DIF) analyses suggested that 38% of the items on the four screening instruments showed either gender or ethnic DIF.


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