Electronic Theses and Dissertations (Masters)

Permanent URI for this collectionhttps://hdl.handle.net/10539/37997

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    A study of the psychometric properties of the Personality and Values Questionnaire in a sample of the South African Population
    (University of the Witwatersrand, Johannesburg, 2024-03) Clack, Crystal; Laher, Sumaya
    Personality assessment plays a crucial role in various domains in South Africa. Both personality traits and values dimensions have been shown to be reliable predictors of performance and behaviour. Research on personality in South Africa is lacking, as is research on values. Assessment use in South Africa is governed by legislation, requiring evidence of reliability, validity, fairness, and a lack of bias. Most objective, self-report personality assessments are based on the Five Factor Model (FFM), which is widely accepted in personality as being universal. However, evidence on personality in South Africa suggests that there are additional elements to these factors. This study explored the applicability of the Personality and Values Questionnaire (PVQ) for use in the South African context. This was done by investigating internal consistency reliability, construct validity, and aspects of construct bias as they pertain to the potential for adverse impact. A non probability convenience sample of 288 participants completed the PVQ. The study took the form of a non-experimental, cross-sectional design. From the results, it was evident that the scales of the PVQ demonstrated adequate internal consistency reliability. In assessing construct validity, the five factor structure replicated similarly with regards to the Extraversion and Neuroticism domains, but the domains of Agreeableness, Openness, and Conscientiousness loaded differently to that proposed by the FFM and the test developers and more in line with other research on personality in South Africa. Evidence for construct bias was found. Women were likely to be more considerate of others, and concerned with how they appear to others. Black participants appeared more inclined towards harmony in interpersonal relationships and traditionalism. The differences for the language subgroups were small. The results suggest that the PVQ would have some suitability for use in South Africa depending on the context and sample. More research with larger and more diverse samples is needed.
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    Exploring Personality Structure in South Africa: A Text Mining Approach
    (University of the Witwatersrand, Johannesburg, 2024-03-15) Gama, Beauty; Alence, Rod; Laher, Sumaya
    Physical expression, behavioural attributes and social relations of an individual can often be studied through personality traits. This has made personality research a relevant aspect of gaining a deeper understanding of people in various contexts, for clinical reasons as well as social relatability. Trait theory has been fundamental in utilizing statistical methods such as factor analysis to construct the personality models that currently exist. The Five Factor Model (FFM) is amongst the most widely accepted of these trait theory models. Personality assessment instruments are developed as operationalisations of these models. These include the Goldberg Adjective Checklist, the South African Personality Inventory (SAPI), and the Chinese Personality Assessment Inventory (CPAI). Recently, naturally occurring data like social media statuses or Facebook Posts are being considered as data examining personality structure. This study aims to explore personality structure data obtained from South African literary texts and text mining techniques. Various techniques of text mining such as parts of speech tagging, and unsupervised and supervised LDA topic modelling were applied to 60 South African literary texts. While topic modelling showed limitations when used in an unsupervised manner, when guided by thematic clusters it presented comprehensible trait classifications that fit with the clusters as defined by the FFM. The instances where there was no fit corresponded with the literature which demonstrates poor fit for those constructs in African constructs. The results also showed that there is a difference in the expression of personality traits between men and women with the differences concurring with those found in the broader literature on gender differences across personality. While the text corpus for this study was small, there is evidence to suggest that text mining techniques could be used to assist in research on personality structure. Text mining is an approach that requires further research as it can be useful in dealing with large data that is naturally occurring to provide a better contextual exploration of personality.