Thesis (MPsych(Clin))--University of South Australia, 2000

Thesis (M.A.)--University of Detroit, 1954. / "August 1954." Includes bibliographical references (p. 60-63).

Thesis (M.A.)--University of Detroit, 1953. / "February 1953." Includes bibliographical references (p. 29-34).

Thesis (M.S.)--University of Wisconsin--Madison, 1969. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ed. D.)--West Virginia University, 1999. / Title from document title page. Document formatted into pages; contains xi, 182 p. : ill. Vita. Includes abstract. Includes bibliographical references (p. 139-143).

Thesis (Ph. D.)--University of North Texas, August, 2008. / Title from title page display. Includes bibliographical references.

Thesis (Ph. D.)--University of Rhode Island, 2005. / Typescript. Includes bibliographical references (leaves 69-73).

Theses (Ed.S.)--Marshall University, 2006. / Title from document title page. Includes abstract. Document formatted into pages: contains 16 p. Bibliography: p. 15-16.

The present study examined the effects of socio-economic status, quality and level of education on performance on the Wechsler Adult Intelligence Scale 3rd Edition r.:w AIS-III). The study was conducted within the context of the present Human Sciences Research Council (HSRC) W AIS-III standardisation process, cross-cultural psychometric research and the notion of test-wiseness. A South African sample (N = 68) comprising African first language (n = 40) and English first language (n = 28) participants, stratified for age (19 - 30 years), gender and educational attainment (Matric and Graduate) were utilised. Effects due to quality of education were determined by dividing the African language participants into those with private/model C schooling (n = 20) and those with DET schooling (n = 20). Effects due to level of education were determined by dividing the entire sample into those with Matric level education (n = 34) and those with Graduate level education (n = 34). Detailed demographic and socio-economic information were recorded for all participants, who completed the entire American version of the W AIS-III. Results revealed a highly significant positive correlation between high socio-economic status and W AIS-III Full Scale IQ. In addition the respective impact of the relatively poor quality of education and lower level of educational attainment on W AIS-III performance was substantial. These results were discussed in terms of their implications for cross-cultural research, the HSRC standardisation of the W AIS-III and the practical use of the W AIS-III in neuropsychological assessment.

In response to the growing demand for a test of cognitive ability for South African adults, the Human Sciences Research Council (HSRC) adapted the Wechsler Adult Intelligence Scales, third edition (WAIS-III) for English-speaking South Africans. However, since the publication of the South African adaptation in 2001, there has been some concern whether some bias may not still be present in the measure. Consequently, this study aimed to qualitatively explore the item content of the South African adaptation of the WAIS-III in order to identify items that might still be potentially biased with specific reference to cultural and linguistic issues. The researcher employed purposive sampling, a non-probability technique, to select psychology professionals to act as expert reviewers. The sample consisted of 20 registered psychologists, psychology lecturers and psychology interns from the predominant culture and language groups of the Eastern and Western Cape. Qualitative and quantitative data were collected by means of a Bias Review Questionnaire which consisted of fixed-choice questions, as well as sections in which specific comments could be indicated. The questionnaire was distributed to 20 selected participants who were qualified to administer psychometric measures and were registered with the Health Professionals Council of South Africa (HPCSA). Qualitative data was analysed using Tesch’s model of thematic content analysis, and five main themes relating to potential bias were identified, namely: Culture, Language, Education, Socio-economic status, and Format. The qualitative data was re-submitted to the expert review group for approval and further comment. Quantitative data obtained from the Bias Review Questionnaire was analysed by obtaining frequency counts, which were converted to percentages, per subtest and aspect reviewed. The major findings of the study were as follows: 1. Cultural bias is evident in the South African adaptation of the WAIS-III. The differential meanings ascribed to concepts, terms, phrases and words by diverse cultures impact on test performance, as does familiarity with stimulus materials used in the measure. 2. Language bias was detected against groups with English as their second or third language owing to the unfamiliar, and sometimes archaic, terms and vocabulary used in the measure. The intended meanings of the translated items are unclear and confusing for test-takers. 3. South African test-takers have experienced vastly divergent educational opportunities which impact on intelligence test performance. The measure contains potential bias against individuals from disadvantaged educational backgrounds. 4. The content of the items is not relevant to test-takers from deprived socioeconomic backgrounds that have been unable to access good-quality education. 5. Format bias was found to exist with respect to the timed tests. Cultural groups who do not value speededness are disadvantaged by the structure and format of the measure. Based on the findings of this study, certain recommendations were made. These include: 1. Additional qualitative investigation of the WAIS-III , with a view to further adaptation in an effort to eradicate bias on cultural or linguistic grounds, and 2. Conducting further Differential Item Functioning (DIF) analyses and establishing construct equivalence across cultural and linguistic groups to promote this objective. Among the contributions believed to have been made by this study are the identification of potentially biased subtests and items on the grounds of culture and language, which will facilitate possible further revision and adaptation of the measure. Additionally, the variables that were considered important influencing factors of cognitive test performance have been documented and are accessible for future research that will supplement the present study.