The main objective of this research was to establish a model for emotional intelligence as a determinant of organisational climate. This model should help companies and organisational psychologists to better understand the interrelatedness of the two constructs in order to optimally enhance organisational performance. This research was conducted in a large organisation, utilising a large sample (n = 1 612) of employees in the financial services industry. During the first phase of this research, emotional intelligence was conceptualised from literature research within the trait paradigm and organisational climate as a molar construct. A theoretical model of emotional intelligence as a determinant of organisational climate was developed and suggested a link to organisational output. During the second phase of this research (empirical research), assessment instruments for emotional intelligence (the Gerber Emotional Intelligence Scale) and organisational climate (the High Performance Climate Questionnaire) were developed and validated. Thereafter an assessment instrument for work output was designed to test the link with performance. The structural equation model (SEM) produced a new best-fitting model of emotional intelligence, organisational climate and work output. The model indicates that emotional intelligence does not correlate with work output as expected, but organisational climate does correlates moderately with work output and explains almost 40% of the variance in work output. The strongest influence seems to flow from teamwork and management. The regression weights between emotional intelligence and organisational climate were trivial, although the model fit indices were all within an acceptable range. The researcher attributed the lack of support for the model to the characteristics of the employees of this type of organisation and concluded that emotional intelligence should not be seen as a determinant of organisational climate in this specific financial services sector. The results further indicate that significant differences exist between the organisational climate experiences of four biographical categories (race, position level, age and geographical region) and also for the categories of position level and age for work output. These differences need to be considered when developing future interventions. This research contributes towards a comprehensive understanding of the relationship between emotional intelligence, organisational climate and work output. The three newly developed questionnaires and the SEM could help researchers and practitioners to apply the research model in other industries and subsequently improve organisational outputs. / Industrial and Organisational Psychology / D. Comm. (Industrial and Organisational Psychology)

The main objective of this research was to establish a model for emotional intelligence as a determinant of organisational climate. This model should help companies and organisational psychologists to better understand the interrelatedness of the two constructs in order to optimally enhance organisational performance. This research was conducted in a large organisation, utilising a large sample (n = 1 612) of employees in the financial services industry. During the first phase of this research, emotional intelligence was conceptualised from literature research within the trait paradigm and organisational climate as a molar construct. A theoretical model of emotional intelligence as a determinant of organisational climate was developed and suggested a link to organisational output. During the second phase of this research (empirical research), assessment instruments for emotional intelligence (the Gerber Emotional Intelligence Scale) and organisational climate (the High Performance Climate Questionnaire) were developed and validated. Thereafter an assessment instrument for work output was designed to test the link with performance. The structural equation model (SEM) produced a new best-fitting model of emotional intelligence, organisational climate and work output. The model indicates that emotional intelligence does not correlate with work output as expected, but organisational climate does correlates moderately with work output and explains almost 40% of the variance in work output. The strongest influence seems to flow from teamwork and management. The regression weights between emotional intelligence and organisational climate were trivial, although the model fit indices were all within an acceptable range. The researcher attributed the lack of support for the model to the characteristics of the employees of this type of organisation and concluded that emotional intelligence should not be seen as a determinant of organisational climate in this specific financial services sector. The results further indicate that significant differences exist between the organisational climate experiences of four biographical categories (race, position level, age and geographical region) and also for the categories of position level and age for work output. These differences need to be considered when developing future interventions. This research contributes towards a comprehensive understanding of the relationship between emotional intelligence, organisational climate and work output. The three newly developed questionnaires and the SEM could help researchers and practitioners to apply the research model in other industries and subsequently improve organisational outputs. / Industrial and Organisational Psychology / D. Comm. (Industrial and Organisational Psychology)

An exploratory study was undertaken to investigate the relationship between emotional intelligence based on Mayer and Salovey's (1990) trait model of emotional intelligence and cognitive thinking styles based on the theory of mental selfgovernment. Emphasis was placed on the influence of emotional intelligence and thinking styles on choice of study field. Participants were 309 students from a Gauteng university. Students registered with the humanities (n=99), management (n=41), sciences (n=131) and engineering (n=38) faculties were compared on the Schutte Self-Report Inventory for emotional intelligence (Schutte et al., 1998) and on the Thinking Styles Inventory (Sternberg & Wagner, 1992). A relationship was found between complex and creative thinking styles and high emotional intelligence. Results from the stepwise multiple regression analysis procedures indicated that the subscales of thinking styles could be significant predictors of emotional intelligence. Students from different faculties were found to have the same level of emotional intelligence and similar thinking styles. / Psychology / MA (Social Sciences) (Psychology)

M.A. (Public Health) / Anti-Retroviral Therapy (ART) adherence is a crucial component of the patient management framework for people living with Human Immune Deficiency Virus (HIV). Trait emotional intelligence is “the constellation of behavioural-dispositions and self-perceived abilities to recognise, process, and utilise emotion-laden information”. The purpose of the study was to determine whether there was a correlation between ART adherence behaviour and behavioural-dispositions related to trait emotional intelligence among HIV/AIDS infected people receiving ART at the regional public hospitals in Addis Ababa. The study used observational, analytical, and cross-sectional research design. The participants were selected through a proportionally stratified systematic random sampling method. Data collection was through a structured self-report questionnaire format. The findings showed that 79.1% had optimal ART adherence behaviour; 84.4% had average trait emotional intelligence. The research finding showed a statistically significant positive correlation between ART adherence behaviour and behavioural-dispositions related to trait emotional intelligence at (r =0.417, n=392, P<0.001). / Health Studies

Anti-Retroviral Therapy (ART) adherence is a crucial component of the patient management framework for people living with Human Immune Deficiency Virus (HIV). Trait emotional intelligence is “the constellation of behavioural-dispositions and self-perceived abilities to recognise, process, and utilise emotion-laden information”. The purpose of the study was to determine whether there was a correlation between ART adherence behaviour and behavioural-dispositions related to trait emotional intelligence among HIV/AIDS infected people receiving ART at the regional public hospitals in Addis Ababa. The study used observational, analytical, and cross-sectional research design. The participants were selected through a proportionally stratified systematic random sampling method. Data collection was through a structured self-report questionnaire format. The findings showed that 79.1% had optimal ART adherence behaviour; 84.4% had average trait emotional intelligence. The research finding showed a statistically significant positive correlation between ART adherence behaviour and behavioural-dispositions related to trait emotional intelligence at (r =0.417, n=392, P<0.001). / Health Studies / M. A. (Public Health)

Text in English with abstracts in English, TshiVenda and Afrikaans / This research sought to propose a personnel selection model encompassing the influence of cognitive intelligence, ability emotional intelligence, trait emotional intelligence, and personality on job performance. Using a quantitative cross-sectional research design, the researcher investigated the interrelationships between the variables relevant to the study using a convenience sample of N = 299 that consisted of Zimbabwean supervisory and professionally qualified and experienced specialists of different ages and genders, and from different job tenures, and job types. To get a true picture of the relationships between the predictor and criterion variables, the interaction (moderating) effects between the sociodemographic variables (age, gender, job tenure, and job type) and the predictor variables (cognitive intelligence, ability emotional intelligence, trait emotional intelligence, and personality) in predicting the criterion of job performance were also examined. The researcher used correlational and inferential multivariate statistical analysis (structural equation modelling, regression analyses, and tests for significant mean differences) to test the research hypotheses. The results from the study indicated that cognitive intelligence was the best predictor of job performance, followed by ability emotional intelligence, and then by personality. Trait emotional intelligence could not account for any variance in job performance. The results showed significant interaction effects between personality and job tenure (judging-perceiving personality types) and job types (extraversion-introversion personality types) in predicting job performance. Significant sociodemographic mean differences in the levels of the predictor variables were also identified. The identified predictive powers of the variables, the interaction effects between the identified sociodemographic and the predictor variables in predicting job performance, and the significant sociodemographic mean differences in the levels of predictor variables need to be considered for personnel selection practices in order to understand the nature of variables that may enhance or inhibit job performance. From a theoretical perspective, the research advanced personnel selection theory by empirically and scientifically identifying the core elements of personnel selection, and proposing a personnel selection model for use by industrial psychologists and organisations. / Ṱhoḓisiso heyi i ṱoḓa u dzinginya tshiedza tsha maitele ane a shumiswa hu tshi tholwa vhashumi ane a katela ṱhuṱhuwedzo ya vhukoni ha muhumbulo nga u angaredza, vhukoni ha u dzhiela nṱha na u langula vhupfiwa, vhukoni ha u dzhiela nṱha na u langula vhupfiwa kha zwithu zwine zwa fana, na vhuḓifari kha kushumele mushumoni. Hu tshi khou shumiswa maitele a ṱhoḓisiso a nḓila yo dzudzanaho ya u kuvhanganya na u saukanya data u bva kha zwiko zwo fhambanaho, u guda zwine zwa khou itea kha tshigwada nga tshenetsho tshifhinga, muṱoḓisisi o ṱoḓisisa vhushaka vhukati ha zwithu zwine zwa fhambana zwo teaho kha ngudo, hu tshi khou shumiswa sambula ya vhathu vhane zwa leluwa u vha swikelela N = 299, i katelaho vhaṱoli na vhathu vha re na ndalukano dza mushumo na vhomakone vha re na tshenzhelo vha vhukale ho fhambanaho, mbeu, tshifhinga tshe vha shuma na tshaka dza mushumo kha vhathu vha Zimbabwe. U wana tshifanyiso tsha vhukuma tsha vhushaka vhukati ha zwithu zwine zwa khou humbulelwa na zwithu zwo ḓisendekaho nga zwiṅwe, ṱhuṱhuwedzo ine ya itea khathihi vhukati ha zwithu zwivhili hune u ṱangana hazwo zwa vha na ndeme khulwane u fhirisa zwipiḓa vhukati ha zwiṱaluli zwa vhathu (vhukale, mbeu, tshifhinga tshe vhashuma, lushaka lwa mushumo) na zwithu zwine zwa khou humbulelwa (vhukoni ha muhumbulo nga u angaredza, vhukoni ha u dzhiela nṱha na u langula vhupfiwa ,vhukoni ha u dzhiela nṱha na u langula vhupfiwa kha zwithu zwine zwa fana, na vhuḓifari) kha u humbulela nḓila dza kushumele mushumoni na dzone dzo ṱoḓuluswa. Muṱoḓisisi o shumisa khoriḽeshinala na siṱatisiṱiki tsha iniferinshiaḽa maḽithivareithi musi a tshi khou saukanya (tshiedza tsha siṱatisisṱika, maitele a siṱatisiṱika a u humbulela vhushaka vhukati ha zwithu, na u linga ndeme ya phambano ya siṱatisiṱika) u linga u vhonela phanḓa kha khonadzeo ya ṱhoḓisiso. Mvelelo u bva kha ngudo dzo sumbedzisa uri vhukoni ha muhumbulo nga u angaredza ho vha tshishumiswa tsha kushumele, ha tevhelwa nga vhukoni ha u dzhiela nṱha na u langula vhupfiwa, ha fhedzisela nga vhuḓifari. Vhukoni ha u dzhiela nṱha na u langula vhupfiwa kha zwithu zwine zwa fana a vhu khwaṱhisedzi phambano kha kushumele mushumoni. Mvelelo dzo sumbedzisa tshanduko ine ya vha hone kha tshithu tshithihi i ḓitika nda ndeme ya tshiṅwe tshithu vhukati ha vhuḓifari na tshifhinga tshe vha shuma (mihumbulo ine ra vha nayo ri tshi sedza zwithu na nḓila ine ra tshilisa ngayo ḓuvha ḽiṅwe na ḽiiṅwe) na tshaka dza mushumo (na tshaka dza vhuḓifari dzo sedzaho nga nnḓa na nga ngomu) kha u humbulela kushumele. Ndeme ya phambano vhukati ha zwigwada zwivhili zwa matshilisano na vhathu kha zwithu zwine zwa khou humbulelwa na zwone zwo dovha zwa topolwa. Zwithu zwo topolwaho zwine zwa khou lavhelelwa, zwithu zwivhili zwo ḓiimisaho nga zwoṱhe zwi tshi ṱangana arali ṱhuṱhuwedzo ya tshithu tshithihi i tshi fhambana yo ḓitika nga vhuimo ha zwiṅwe zwithu vhukati ha zwithu zwa matshilisano na vhathu na zwithu zwine zwa khou humbulelwa, ṱhoḓea dzine dza tea u dzhielwa nṱha kha maitele ane a shumiswa hu tshi tholwa vhashumi u itela u pfesesa lushaka lwa zwithu zwine zwa nga engedza kana u thivhela kushumele. U bva kha mihumbulo ine ya khou ṱoḓisiswa, ṱhoḓisiso yo ṱuṱuwedza thyeori ya maitele ane a shumiswa hu tshi tholwa vhashumi nga u sedza na u topola zwithu zwa ndeme zwa maitele na milayo ya sainthifiki, na u dzinginya tshiedza tsha u thola vhashumi u itela u shumiswa nga vhaḓivhi vha muhumbulo vhane vha shuma na kutshilele na kushumele kha zwiimiswa. / Hierdie navorsing het gepoog om ʼn model vir personeelkeuring te ontwikkel op grond van die invloed van kognitiewe intelligensie, vermoë- emosionele intelligensie; eienskap- emosionele intelligensie en persoonlikheid op werkprestasie. Die navorser het ʼn kwantitatiewe dwarssnitnavorsingsontwerp gebruik, en die onderlinge verbande tussen die toepaslike veranderlikes ondersoek. Die geriefsteekproef van N = 299 het bestaan uit Zimbabwiese toesighoudende, opgeleide en ervare spesialiste van verskillende ouderdomme en uit beide geslagte wat verskillende dienstydperke agter die rug het, en uiteenlopende poste beklee. Om ʼn getroue beeld van die verbande tussen die voorspeller- en kriteriumveranderlikes te kry, is die interaksie- (modererende) effekte tussen die sosiaal-demografiese veranderlikes (ouderdom, geslag, dienstydperk en soort werk) en die voorspellerveranderlikes (kognitiewe intelligensie, vermoë- emosionele intelligensie; eienskap- emosionele intelligensie en persoonlikheid) in die voorspelling van die kriterium van werkprestasie ook ondersoek. Die navorser het ʼn korrelasie- en afgeleide, meerwisselende statistiese ontleding (strukturele vergelykingsmodellering, regressieontledings en toetse vir betekenisvolle gemiddeldeverskille) gedoen om die navorsingshipotese te toets. Die uitslag van die studie toon dat kognitiewe intelligensie die beste voorspeller van werkprestasie is, gevolg deur vermoë- emosionele intelligensie en persoonlikheid. Eienskap- emosionele intelligensie kon geen rekenskap van enige veranderlike in werkprestasie gee nie. Volgens die resultate is daar betekenisvolle interaksie-effekte tussen persoonlikheid en dienstydperk (keurder-waarnemer persoonlikheidstipes) en die soort werk (ekstroversie-introversiepersoonlikheidstipes) in die voorspelling van werkprestasie. Betekenisvolle sosiaal-demografiese gemiddeldeverskille in die vlakke van die voorspellerveranderlikes is ook aangedui. Die voorspellende kragte van die veranderlikes, die interaksie-effekte tussen die sosiaal-demografiese en die voorspellerveranderlikes in die voorspelling van werkprestasie sowel as die beduidende sosiaal-demografiese gemiddeldeverskille in die vlak van voorspellerveranderlikes moet vir personeelkeuringspraktyke in ag geneem word om die aard van veranderlikes wat werkprestasie kan verhoog of inhibeer, te verstaan. Uit ʼn teoretiese oogpunt het die navorsing die persoonkeuringsteorie gevolg deur die kernelemente van personeelkeuring op ʼn empiriese en wetenskaplike wyse aan te toon, en ʼn personeelkeuringsmodel vir bedryfsielkundiges en organisasies aan te bied. / Industrial and Organisational Psychology / D. Phil. (Consulting Psychology)