Impacts of the introduced house mouse on the seabirds of Gough Island by Wanless, Ross M

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Phytosociology of the Ba and Ib land types in the Pretoria-Witbank-Heidelberg area

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Antecedents of work-family conflict among Hindu working women in South Africa: stressors, social support, and cultural values by Jaga, Ameeta

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An application of the theory of planned behaviour to predict financial behaviour of minibus-taxi drivers and owners in Cape Town by Mohamed, Imaan

“…When considering all five predictor variables (subjective norms, attitudes, perceived knowledge of money management, perceived challenges to manage money and perceived ability to handle money) together, only perceived ability to manage money explained a significant amount of unique variance in saving intentions. …”
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An economic analysis of declining marriages in post-apartheid South Africa, 1995-2006 by Kumchulesi, Grace

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Pilot study into the molecular mechanisms of canine distemper virus infection

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The geology of the bushveld ingneous complex east of the kruis river cobalt occurrence, North of Middelburg, Transvaal

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Understanding moult patterns in Albatrosses and Petrels breeding on Marion and Gough Islands by Osborne, Alexis

“…GLMs showed that breeding outcome was the only variable that influenced the mass of feathers replaced in Northern Giant Petrels, accounting for 14% of the variance in feathers replaced, while sex was the only variable in Southern Giant Petrels, accounting for 6% of variance. …”
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Exit, voice, and loyalty: an analysis of African states' behaviour in relation to the international criminal court by Rubin, Maxine

“…The findings about the influence of the head of state variable demonstrated the relevance of the personalisation of power and how this affects the production of foreign policy. …”
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Aeolian dust emission dynamics across spatial scales: landforms, controls and characteristics by von Holdt, Johanna R C

“…A Boosted Regression Tree (BRT) machine-learning algorithm identified the most important surface and sediment characteristics determining dust emission from the measured surfaces. The model explained 70.8% of the deviance in the measured dust flux with the top predictor variables and their relative importance (%) as follows: gravel cover, 16%; moisture content, 14%; kurtosis, 13%; very coarse silt, 13%; very fine sand, 11%; fine sand, 8%; compressive strength, 7%, calcium, 7% and magnesium, 6%. …”
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HIV and male circumcision in Swaziland, Botswana and Lesotho : an econometric analysis by Warren, Keeletsang Heather

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Non-family employees' perception of familiness, identification, commitment and customer service in a large family business

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Understanding the Perspectives of Users, Advertisers and Ad Blocker Companies on Ad Block Usage by Mahmoud, Alaa Ahmed Ali

“…Usage of simple linear regression was used to analyze further and explain the relationship between the variables. On the other hand, in-depth interviews were done with ten advertising professionals and three professionals from ad blocker companies to examine the research objectives further. …”
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Outcomes-based education in South Africa since 1994 : policy objectives and implementation complexities

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Establishing a weight-length baseline for evaluating changes in yellowfin tuna (Thunnus albacores) body condition in the Western Indian Ocean by Harikishun, Ameil

“…A GLM was fitted to separate the effects of year, month and sex on the response variable Wr. Year, month, sex and the interaction terms Year:Sex and Month:Sex all contributed significantly to the variability in Wr explained. …”
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Geographic variation in the phenotype of an African horseshoe bat species, Rhinolophus damarensis, (Chiroptera: Rhinolophidae) by Maluleke, Tinyiko

“…Linear mixed effects models (LMEs) were employed to analyse the relationship between the response variable (RF) and the environmental, spatial and biological predictor variables. …”
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Entrepreneurial Intentions of South African university students: an application of the theory of planned behaviour by Brenner, Bianca

“…The primary objective was to determine whether the TPB model influences EI over and above situational factors (prior entrepreneurial experience and knowledge of entrepreneurial support) and demographic variables. Contextual measures obtained from the qualitative phase, such as load-shedding and the South African economy, were also incorporated into the questionnaire. …”
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The interactions between biotic and abiotic factors that influence the sustainability of tomato production in South Africa

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