Neuropsychological Testing in a Rural African School-Age Population: Evaluating Contributions to Variability in Test Performance

Autor/inn/en	Kitsao-Wekulo, Patricia K.; Holding, Penny A.; Taylor, H. Gerry; Abubakar, Amina; Connolly, Kevin
Titel	Neuropsychological Testing in a Rural African School-Age Population: Evaluating Contributions to Variability in Test Performance
Quelle	In: Assessment, 20 (2013) 6, S.776-784 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1073-1911
DOI	10.1177/1073191112457408
Schlagwörter	Foreign Countries; Neuropsychology; Psychological Testing; Rural Population; Children; Psychometrics; Test Reliability; Cognitive Processes; Test Validity; Individual Characteristics; Background; Family Characteristics; Place of Residence; Multivariate Analysis; Test Construction; Kenya; Raven Progressive Matrices + Suchen Sie Ihr Suchwort? Ausland; Neuropsychologie; Psychological test; psychological tests; Psychological examination; Psychologischer Test; Landbevölkerung; Child; Kind; Kinder; Psychometry; Psychometrie; Testreliabilität; Cognitive process; Kognitiver Prozess; Testvalidität; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Hintergrundinformation; Wohnort; Multivariate Analyse; Testaufbau; Kenia
Abstract	This study investigated the psychometric properties of a number of neuropsychological tests adapted for use in sub-Saharan Africa. A total of 308 school-age children in a predominantly rural community completed the tests. These tests were developed to assess skills similar to those measured by assessments of cognitive development published for use in Western contexts. Culturally appropriate adaptations were made to enhance within-population variability. Internal consistency ranged from 0.70 to 0.84. Scores on individual tests were related to various background factors at the level of the child, household, and neighborhood. School experience was the most consistent predictor of outcome, accounting for up to 22.9% of the variance observed. Significant associations were identified to determine salient background characteristics that should be taken into account when measuring the discrete effects of disease exposure in similar sociocultural and economic settings. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10