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.

Both experimental research (Robbertse,1952)and clinical observation (Kruger, 1972; van der Merwe,1978) have indicated that pupils with a Verbal IQ score 10 or more points lower than their non-Verbal IQ (termed a 'Type 1' discrepancy in the present research) on the New South African Group Test (NSAGT) show poorer academic achievement than their peers of similar ability. The present research investigates the relationship of general retention ability, as defined by Hakstian and Cattell (1978), to Type 1 discrepancies as well as to their academic correlates. One hundred and thirty-nine standard seven English-speaking boys were tested on the NSAGT and the Junior Aptitude Test (JAT) (of which tests 8 and 9 give an indication of general retention ability) and divided into a group with Type 1 discrepancies and two control groups. All three groups were matched on full-scale IQ. Comparison of these three groups, using the analysis of variance technique, showed that there was no significant difference between them in level of general retention ability or in academic performance (measured by average percentage in the final standard seven examination). While no significant difference was found between the three groups regarding the relationship of general retention ability to academic performance, in the Type 1 discrepancy group the relationship of rote memory (JAT test 8) to academic performance differed markedly from that of associative memory (JAT test 9) to academic performance. In the Type 1 discrepancy group rote memory was highly associated with academic performance, possibly indicating a compensatory strategy for the lower Verbal ability in this group, enabling it to achieve academically on par with the control groups, contrary to what would be expected on the basis of Robbertse's (1962) findings. In terms of Jensen's (1982) Level 1/Level 11 theory of intelligence, it appears from the present research that rote memory ability (JAT test 8) varies between being a Level 11 ability (in the Type 1 discrepancy group) to acting as a Level 1 ability in the two control groups. The present research questions Verwey and Wolmarans's (1980) description of both JAT tests 8 and 9 as simple measures of retention Test 9, in particular, appears to function consistently as a Level 11 ability.

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.

No abstract available. / Thesis (Ph.D.)-University of Natal, Durban, 1956.

This study examined the effects of level and quality of education on WAIS-III Digit Symbol-Incidental Learning performance. The Pairing and Free Recall measures were administered to a South African sample (N = 68, age range 19-30), which was stratified for English and African language, level of education attained (Grade 12s and Graduates) and quality of education (advantaged and disadvantaged schooling). Results yielded no significant main or interaction effects between acculturation factors of level and quality of education. Normative guidelines of 13 or more pairs and 8 or more free recall symbols, appropriate to a non-clinical sample in a multicultural setting, are provided. Digit Symbol-Incidental Learning proved to be a culture-fair test, which contributes to its clinical utility as a sensitive memory screening tool.

The Wechsler Adult Intelligence Scale - 3rd Edition (WAIS-III) is the newest of the internationally recognised Wechsler family of intelligence tests. It has been improved in terms of its psychometric properties, neuropsychological assessment abilities and its content. This test is in the process of being standardised by the Human Sciences Research Council (HSRC) in South Africa. As the adapted South African version will be available shortly for use in the multicultural circumstances of South Africa, the application of the various aspects of this test needs to be investigated. This test is very comprehensive and thorough, however its one disadvantage is that it takes on average three hours to administer in its entirety. Thus there is a need to find ways in which to abbreviate the test for particular purposes when time is limited, for example in research, brief clinical assessments or neuropsychological screenings. The concept of abbreviating tests, including the earlier Wechsler intelligence test can be traced back to 1917, when it was asked if all the items on the Binet-Simon scale were required to give an accurate assessment of IQ (Levy, 1968). Since then there have been many short form suggestions made, with many different considerations in mind. These can be divided into two main approaches or methods. Firstly, the number of subtests of the scale can be reduced. Thus with the WAIS-III which consists of 14 subtests in total, an option is to use, for example only four of the subtests to get an estimate of a person's IQ. Secondly, the number of items in each subtest can be reduced. Thus only half the items or even only a third of the items on a subtest can be administered to get an estimate of the persons' performance on each subtest and in this way estimate their overall IQ. Both methods have been used on the WAIS and WAIS-R, although the reduction of the subtests is favoured. Both should now be validated and considered for use with the WATS-III in South Africa. Wechsler tests and their constituent subtests have been found to be differentially effected by race, education, language and socio-economic status (Kaufman, McLean & Reynolds, 1988; Nell 1999). These differences have also been found to impact on the short forms which are suggested, as certain subtests are considered to be more biased towards particular groups than others. Vocabulary and Block Design in particular bias testees who are not as westernised or acculturated towards a largely American and European culture (Kaufman, McLean & Reynolds, 1988). These differences, although often ascribed to race, language or socio-economic status can best be understood more broadly in terms of degree of acculturation (i.e. westernisation) (Shuttleworth-Jordan, 1996) and test-wiseness (Nell, 1999). In South Africa in particular, with its extreme cultural diversity these factors need to be carefully considered when developing short forms. In the present study the development of a short form appropriate to South Africa's diverse cultural circumstances will be approached, through a sample which has been stratified according to gender, first language (English vs. African), quality of schooling received (Private/Model C vs. DET) and level of education achieved (Matric vs. Graduate). Both a subtest reduction method and an item reduction method will be considered to arrive at a short form. The subtest reduction method will be considered further in an attempt to clarify which subtests would be more or less appropriate to include in a short form considering group differences. Finally the thesis will develop suggestions as to which short forms would be best for use in South Africa.

This study, which formed part of a larger research project, investigated the effect of gender on test performance on the Wechsler Adult Intelligence Scale - Third Edition (WAIS-III). The WAIS-III was administered to a sample of 68 participants in the Eastern Cape following the initiative of the Human Sciences Research Council to standardise the WAIS-III for a South African population. The participants, aged 19 to 30, were stratified according to language of origin (African or English First Language), educational attainment (matriculant or graduate), quality of education (Department of Education and Training or private/"Model C" school) and gender. Analyses of variance and two sample t tests were used to compare male and female test performance. For the total sample, no significant difference between males and females on Verbal, Performance and Full Scale IQ were found. On the factor indices, females scored marginally higher than males on Processing Speed at a level which was approaching significance (p = 0.105), but no significant differences were found. On subtest performance, females significantly outperformed males on Digit Symbol (p = 0.020). Differences which were approaching significance were found on Information (p = 0.133) in favour of males, and on Matrix Reasoning (p = 0.092) in favour of females. For subgroups of the total sample, the most significant differences in test performance were found for the African First Language private/"Model C" school cohort in favour of females. Thus the overriding implication that emerged from this research was that on this relatively highly educated sample, no significant gender differences in cognitive ability were apparent.

M.A. / The principal aim of the study was to determine whether or not certain aspects of emotional intelligence account for the difference between students' academic success or failure. Although an in-depth study of existing literature on the topic of academic prowess soon disclosed that all aspects of an individual's functioning play a part in his or her academic performance, a flaw was uncovered in this argument in terms of the link between the individual's ability to deal with emotional processes and his or her academic functioning. The present study could, therefore, be considered to be the springboard for theory-building regarding the link between aspects of emotional intelligence and academic performance. Various studies in the domain of emotions have been undertaken with a view to study the manner in which individuals evaluate, communicate and apply emotions in their bid to solve problems and to adapt to circumstances of life. Emotional intelligence can be viewed as a meta ability that co-determines the extent to which an individual develops his or her potential, acquires and hones skills (including his or her intellect) and achieves his or her objectives. The manner in which the individual processes emotional contents could, therefore, have a profound effect on all intra and interpersonal aspects of his or her functioning, including his or her academic performance. In addition, existing literature soon discloses the multidimensional nature of the concept academic success to be a complex interchange between cognitive and non-cognitive factors. The interdependency between a number of these factors often serves to complicate any attempt to study them, however, and oft-times results in inconsistent and even contradictory findings. In the present study, the part that the individual's way of coping with emotional contents plays in his or her academic performance is subjected to close scrutiny. The experimental group selected for the purposes of the present study comprised 133 students in the age group 18 to 23 enrolled for a course in Psychology 1 at the Rand Afrikaans University. The said experimental group was deemed to represent the population of Human Sciences students at this institution. Based on their final-marks for Psychology 1, these students were divided into two categories, namely students who achieved academic success and students who failed to achieve academic success. Following, both groups of students were subjected to the Emotional Intelligence Battery of tests. Hotelling's T2-test was then used to determine whether or not the mean vectors of the two groups differed from each other. The F-test was applied to determine whether or not the variances between the two independent groups were homogeneous. Student's t-test was used to determine whether or not there be a statistically significant difference between the two means in terms of the five sub-scales of the Emotional Intelligence Battery. A stepwise discriminant analysis was conducted to determine which of the five variables (viz. the Social Translations (CBT) sub-scale of the Four Factor Tests of Social Intelligence, the Hogan Empathy Scale (HIES), the Self—Control Schedule (SCS), the Neuroticism sub-scale of the Eysenck Personality Questionnaire (EPQ), the total score of the Adolescent Self-Concept Scale (ASCS)) to the greatest extent contributed towards the differences between the two criterion groups (viz. academically successful students; academically unsuccessful students). The results of Hotelling's T 2-test indicated that the Emotional Intelligence Battery did indeed differentiate between students who achieved academic success and those who failed to achieve academic success in the specified population. Statistically significant differences were found in the vectors of means of Group 1 (viz. students who achieved academic success) and Group 2 (viz. students who failed to achieve academic success) with respect to the five sub-scales of the Emotional Intelligence Battery taken together. Statistically significant differences were found between the means of the two groups in respect of both the Social Translations sub-scale of the Four Factor Tests of Social Intelligence and the Hogan Empathy Scale. No statistically significant differences were, however, uncovered between the means of the two groups in respect of the rest of the sub-scales of the Emotional Intelligence Battery. The results of the stepwise discriminant analysis indicated that the variables Test 1 (the Social Translations sub-scale of the Four Factor Tests of Social Intelligence) and Test 5 (the Adolescent Self-Concept Scale (ASCS)) contributed towards the discrimination between Group 1 (academically successful students) and Group 2 (academically unsuccessful students). All in all, 64.8% of the experimental subjects was correctly classified by the two variables. In the present study, research was only undertaken in respect of the link between certain aspects of emotional intelligence and academic success. The present study could, therefore, be deemed to constitude an exploratory study, as no other study has ever been undertaken in the domain of the processing of emotional content in academic success. It is recommended that future research subject academic performance to a multidimensional scrutiny, with emotional intelligence being one of the factors. Further, it is recommended that future research be undertaken to determine the skills and abilities of experimental subjects from different cultural backgrounds and of both sexes, and that a comparison be drawn between these subjects' abilities and skills and their emotional intelligence.

In South Africa, the issue of lack of black pilot skills is a most talked about topic in commercial airlines. Airlines need to find the right set of skills and attitude to operate safely and successfully. Airline safety remains a topic of discussion, therefore airlines need ensure robustness of their selection processes. There are many requirements that a person has to meet before s/he can be offered a first officer job at an airline. The majority of the pilots in South Africa are white males. The study aimed to determine if there are statistically significant differences in cognitive ability test results between Black and White applicants for pilot positions with a South Africa airline. The test battery included a verbal reasoning test, numerical reasoning test, visual thinking, abstract reasoning test, spatial reasoning test, short term memory test, monitoring ability test, hand-eye coordination, sense of orientation test, reactivity test, and a multi-tasking test. The data were extracted with permission from a database maintained on behalf of the airline by an online test provider and subjected to a statistical analysis using measures of central tendency, and spread, in order to report on the significance of the differences between the groups. There is strong evidence that the White group performed better than the Black group on the majority of the tests. It is recommended that further research is done in order to determine the causes of these differences. A comparative study of results on other airlines’ recruitment selection tests and an exploratory study of the impact of socio-economic factors, education quality and language on cognitive ability tests are recommended.

Prior research (Shuttleworth-Edwards et al., 2004) presented preliminary normative data for the Wechsler Adult Intelligence Scale – III (WAIS-III) for Southern Africa, stratified according to gender (female vs. male), language (black African vs. white English), level of education (matric/12+ years of education vs. Graduate/15+ years of education) and quality of education (disadvantaged – Department of Education and Training vs. advantaged - Private/Model C). IQ scores for black African language and white English Southern Africans were comparable with the United States of America (USA) standardization when level and quality of education were equitable. (‘White English’ is the term used to denote those of European descent whose first language is English). A limitation of the research was the lack of control for language for most of the black groups and particularly in the Private/Model C Graduate group, where sixty percent of the participants originated from Zimbabwe. These represented a particularly elite group whose education was equitable to that of the white participants throughout their education (i.e. at primary, secondary and tertiary level). In order to rectify the lack of homogeneity of language, all non- Xhosa first language participants were excluded from the black sample and sixteen additional Xhosa first language participants were tested on the WAIS-III. Data analyses found no significant differences between the original and new groups, except in the comparison between Mixed African language Private/Model C Graduates and the Xhosa first language Private/Model C Graduate/15+ years of education, where there was a lowering of WAIS-III subtest, index and IQ scores in the newly constituted group. This lowering in test performance is explained in that the new Xhosa first language 15+ years of education group was a less advantaged group than the original Mixed African Language Private/Model C Graduate group, as the new group generally had less advantaged primary school education and had generally studied less at a tertiary level. Overall, these results demonstrate an incremental increase in WAIS-III test performance for sample groups on a continuum of quality of education from least to most advantaged education. This was true for both verbal and non-verbal subtests.