Business leaders are increasingly coming to recognise that there is more to business success than technical and cognitive competence. Personnel leadership is proving to be critical for business bottom-line achievements considering that most business outcomes are achieved through human capital. Emotional intelligence can be used to the advantage of organisations by developing an emotional intelligence audit. The objective of this study was to investigate the psychometric properties of the Emotional Intelligence Scale (SEIS) developed by Schutte, Malouff, Hall, Haggerty, Cooper, Golden and Dornheim (1998) for Economic Science students from a higher education institution in the North-West Province, South Africa. The psychometric soundness of the SEIS was tested. The general objective of the research is to standardise a psychometric instrument of emotional intelligence and determine the validity of The Schutte Emotional Intelligence Questionnaire (SEIS) (Schutte, et al., 1998). Specific objectives include the conceptualisation of the importance of a standardised psychometric instrument of emotional intelligence in South Africa; the conceptualisation of the nature and evolvement of emotional intelligence measurements in general; determining the validity and internal consistency of the SEIS; and establishing whether any possible group differences in terms of biographical data exist in emotional intelligence. A valid and reliable measure of emotional intelligence could be valuable in the organisation to identify specific EI needs that could be developed through the implementation of EI development programmes. In this context a standardised psychometric instrument of EI could be of use in organisations during the training and development of employees. A cross-sectional method with an availability sample (N = 341) from Economical Science students from a higher education institution was used. The results supported a six-factor model of emotional intelligence, consisting of Positive Affect, Emotion-Others, Happy Emotions, Emotions-Own, Non-verbal Emotions and Emotional Management. The multi-analysis of variance (MANOVA) was used to determine differences in terms of biographical data. The results indicated significant differences between gender and language groups. African language groups compared with Afrikaans and English language groups experienced higher levels of positive affect. Females compared with males experienced higher levels of understanding of the emotions of other people. Recommendations for future research were made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

The research on Emotional Intelligence (EI) has advanced considerably over the past 20 years because of the construct’s scientific and practical relevance. However, in South Africa, a measurement instrument of EI that is valid, reliable, standardised, has a consistent factor structure, in a homogeneous working sample and that can be utilised for research and practical purposes is still elusive. EI plays a fundamental role in the quality of service rendered by nurses (Murphy & Janeke, 2009). According to Ogillska-Bulik (2005) the ability to manage one’s own emotions, while having the ability to identify others' emotions, is very important in the nursing environment. The Schutte Emotional Intelligence Scale (SEIS) has been found as a reliable brief scale for measuring trait EI (Schutte & Malouff, 1998). However, there are different results regarding the factor structure of the S. The first objective of this research study was to conceptualise EI and the factor structure of the SEIS through a literature review. Salovey and Mayer (1990) define EI as a mental ability pertaining to the relationship between emotion and cognition. Other researchers’ definition of EI states that EI is the ability to be conscious of one’s emotions, to evaluate and develop one’s emotions to assist thinking, to comprehend emotions and emotional information, and to manage emotions to sustain emotional and intellectual development in oneself (Bar-On, 2000; Goleman, 1998; Salovey & Mayer 1997). Murphy and Janeke (2009) state it is important that reliable and valid measures of EI must be used in the workplace. Numerous research has been done on the most appropriate, valid and reliable approach for the measurement of EI (Petrides & Furnham, 2000; Van Rooy & Viswesvaran, 2005). The SEIS is the leading brief scale for measuring EI (Petrides & Furnham, 2000). However, there are problems with its factor structures. To summarise: a) Schutte et al. (1998) report a unifactorial structure for the SEIS, b) Austin, Saklofske, Huang, and McKenny (2004) report a three-factor structure. c) Petrides and Furnham (2000); Ciarrochi, Chan, and Bajar (2001); Ciarrochi, Chan, Caputi, and Roberts (2001) and Saklofske, Austin, and Minski (2003) report a four-factor structure. d) Jonker and Vosloo (2009) reported a six-factor structure. The second objective of this study was to investigate the factor structure of the 41-item version of the Schutte Emotional Intelligence Scale within a South African nursing environment by means of a confirmatory factor analysis. A quantitative research design was used in this study. A cross-sectional survey design was used for this study. An availability non-probability sample (N = 290) was taken from hospitals in the Gauteng and North-West Provinces of South Africa. The Schutte Emotional Intelligence Scale was applied as measuring scale. An exploratory factor analysis (principal component analysis) was performed on the data. The data did not fit a unifactor, two-factor or three-factor model based on the model of Austin, Saklofske, Huang, and McKenney (2004). The data fitted the original model of Emotional Intelligence of Mayer and Salovey (1990), best explaining 58.52% of the variance. The results supported a five-factor structure of the Schutte Emotional Intelligence Scale. The five factors were named: Emotion Utilisation; Emotion Management; Emotion Awareness; Emotion Perceiving and Emotion Integration. Recommendations were made for future research. / Thesis (MCom (Industrial Psychology))--North-West University, Potchefstroom Campus, 2013

The research on Emotional Intelligence (EI) has advanced considerably over the past 20 years because of the construct’s scientific and practical relevance. However, in South Africa, a measurement instrument of EI that is valid, reliable, standardised, has a consistent factor structure, in a homogeneous working sample and that can be utilised for research and practical purposes is still elusive. EI plays a fundamental role in the quality of service rendered by nurses (Murphy & Janeke, 2009). According to Ogillska-Bulik (2005) the ability to manage one’s own emotions, while having the ability to identify others' emotions, is very important in the nursing environment. The Schutte Emotional Intelligence Scale (SEIS) has been found as a reliable brief scale for measuring trait EI (Schutte & Malouff, 1998). However, there are different results regarding the factor structure of the S. The first objective of this research study was to conceptualise EI and the factor structure of the SEIS through a literature review. Salovey and Mayer (1990) define EI as a mental ability pertaining to the relationship between emotion and cognition. Other researchers’ definition of EI states that EI is the ability to be conscious of one’s emotions, to evaluate and develop one’s emotions to assist thinking, to comprehend emotions and emotional information, and to manage emotions to sustain emotional and intellectual development in oneself (Bar-On, 2000; Goleman, 1998; Salovey & Mayer 1997). Murphy and Janeke (2009) state it is important that reliable and valid measures of EI must be used in the workplace. Numerous research has been done on the most appropriate, valid and reliable approach for the measurement of EI (Petrides & Furnham, 2000; Van Rooy & Viswesvaran, 2005). The SEIS is the leading brief scale for measuring EI (Petrides & Furnham, 2000). However, there are problems with its factor structures. To summarise: a) Schutte et al. (1998) report a unifactorial structure for the SEIS, b) Austin, Saklofske, Huang, and McKenny (2004) report a three-factor structure. c) Petrides and Furnham (2000); Ciarrochi, Chan, and Bajar (2001); Ciarrochi, Chan, Caputi, and Roberts (2001) and Saklofske, Austin, and Minski (2003) report a four-factor structure. d) Jonker and Vosloo (2009) reported a six-factor structure. The second objective of this study was to investigate the factor structure of the 41-item version of the Schutte Emotional Intelligence Scale within a South African nursing environment by means of a confirmatory factor analysis. A quantitative research design was used in this study. A cross-sectional survey design was used for this study. An availability non-probability sample (N = 290) was taken from hospitals in the Gauteng and North-West Provinces of South Africa. The Schutte Emotional Intelligence Scale was applied as measuring scale. An exploratory factor analysis (principal component analysis) was performed on the data. The data did not fit a unifactor, two-factor or three-factor model based on the model of Austin, Saklofske, Huang, and McKenney (2004). The data fitted the original model of Emotional Intelligence of Mayer and Salovey (1990), best explaining 58.52% of the variance. The results supported a five-factor structure of the Schutte Emotional Intelligence Scale. The five factors were named: Emotion Utilisation; Emotion Management; Emotion Awareness; Emotion Perceiving and Emotion Integration. Recommendations were made for future research. / Thesis (MCom (Industrial Psychology))--North-West University, Potchefstroom Campus, 2013

Business leaders are increasingly coming to recognise that there is more to business success than technical and cognitive competence. Personnel leadership is proving to be critical for business bottom-line achievements considering that most business outcomes are achieved through human capital. Emotional intelligence can be used to the advantage of organisations by developing an emotional intelligence audit. The objective of this study was to investigate the psychometric properties of the Emotional Intelligence Scale (SEIS) developed by Schutte, Malouff, Hall, Haggerty, Cooper, Golden and Dornheim (1998) for Economic Science students from a higher education institution in the North-West Province, South Africa. The psychometric soundness of the SEIS was tested. The general objective of the research is to standardise a psychometric instrument of emotional intelligence and determine the validity of The Schutte Emotional Intelligence Questionnaire (SEIS) (Schutte, et al., 1998). Specific objectives include the conceptualisation of the importance of a standardised psychometric instrument of emotional intelligence in South Africa; the conceptualisation of the nature and evolvement of emotional intelligence measurements in general; determining the validity and internal consistency of the SEIS; and establishing whether any possible group differences in terms of biographical data exist in emotional intelligence. A valid and reliable measure of emotional intelligence could be valuable in the organisation to identify specific EI needs that could be developed through the implementation of EI development programmes. In this context a standardised psychometric instrument of EI could be of use in organisations during the training and development of employees. A cross-sectional method with an availability sample (N = 341) from Economical Science students from a higher education institution was used. The results supported a six-factor model of emotional intelligence, consisting of Positive Affect, Emotion-Others, Happy Emotions, Emotions-Own, Non-verbal Emotions and Emotional Management. The multi-analysis of variance (MANOVA) was used to determine differences in terms of biographical data. The results indicated significant differences between gender and language groups. African language groups compared with Afrikaans and English language groups experienced higher levels of positive affect. Females compared with males experienced higher levels of understanding of the emotions of other people. Recommendations for future research were made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

The purpose of this study was to identify characteristics pertaining to emotional intelligence (EI) that parents and Foundation Phase teachers may use when supporting learners with autism spectrum disorder (ASD) in an inclusive classroom setting. Teachers are facing various degrees of challenges due to the demands of a range of diverse needs attributable to the influx of learners with disabilities in the school system. Given the increase in the number of children diagnosed with ASD, research indicates that it is likely that teachers will encounter learners with ASD in their classes. Teachers are generally not trained to identify and cope with such a disability, as many requirements of these learners are beyond the services of a general school system. A multiple case study was conducted where the perspectives of a teacher and two parents were gained, in order to understand experiences with children with ASD from the participants' point of view. The primary aim of this study was therefore to provide both parents and teachers with listed characteristics of EI that they could utilise while supporting learners with ASD in households or the educational sphere. Findings illuminated the collective characteristics of learners with ASD, which include intense obsessions with a narrow range of subjects, repetitive routines, central coherence difficulties and problems with social-emotional functioning, communication and executive functioning. These indicators require specific responses from parents and teachers to effectively provide support to these learners. Qualities identified that relate to EI are patience, empathy, problem solving skills, working collaboratively with parents and being proactive. The main recommendation relates to specific training in EI skills, to prepare student teachers in supporting the growing number of learners with ASD in their classes. / Dissertation (MEd)--University of Pretoria, 2017. / Early Childhood Education / MEd / Unrestricted

No description available.

Emotional intelligence (EI) in organisations has grown immensely over the past two decades. Considerable research regarding this concept and the advantages it poses for the individual as well as the organisation has been conducted; however, one aspect that has not been explored sufficiently is the extent to which EI can be viewed as a culturally relevant concept. The presumption that emotions can be explained in the same way across different culture cannot be made; therefore measuring EI across cultures becomes important and challenging. Language can be viewed as a vehicle of culture, and emotions are shaped by the language spoken in the specific culture. A quantitative research design was used in this study. The sample consisted of mid-level miners from the Gauteng and North West Province (N = 357). Stratified sampling was used to include the West-Germanic (English and Afrikaans; n = 158) and Sotho group (North Sotho, South Sotho, and Setswana; n = 199). Questionnaires were distributed amongst the participants from the different mines, were completed within a set time, and collected immediately afterwards. The first objective of the study was to determine whether the Greek Emotional Intelligence Scale (GEIS) is a reliable test when measuring West-Germanic (English and Afrikaans) and Sotho (Northern Sotho, Southern Sotho, and Setswana) languages. A four-factor model on the combined sample as well as the two language groups was tested. The four factor model of the West-Germanic group showed poor alphas. (Expression and Recognition of Emotions = 0.66; Caring and Empathy = 0.63; Control of Emotions = 0.80 and Use of Emotions to Facilitate Thinking = 0.62.) Several items from the expression and recognition scale cross-loaded on the other three factors, and it was decided to test a three-factor model. The three factor model indicated the best goodness-of-fit indices and showed acceptable alpha coefficients (Use of Emotion to Facilitate Thinking = 0.83; Caring and Empathy = 0.83 and Control of Emotions = 0.77). The second objective was to determine if the Greek Emotional Intelligence Scale is an equivalent measuring instrument when measuring the West-Germanic (English and Afrikaans) and Sotho (Northern Sotho, Southern Sotho, and Setswana) languages. Goodness-of-fit was tested on the total population as well as the two language family groups. The four factors are Expression and Recognition of Emotions, Caring and Empathy, Control of Emotions and Use of Emotions. The model indices (GFI, CFI and RMSEA) were satisfactory on the total population as well as the Sotho groups, but there were problems noted when testing the goodness-of-fit for the West- Germanic language group. It was therefore decided to test a three factor model (Use of Emotions, Caring and Empathy and Control of Emotions). These problems could possibly be explained by the cultural differences between the two language groups. The final research objective was to investigate whether the items of the Greek Emotional Intelligence Scale are unbiased when measuring West-Germanic (English and Afrikaans) and Sotho (Northern Sotho, Southern Sotho, and Setswana) languages. Firstly, ANOVAS were produced to determine the mean differences between the groups. There weren’t many differences, indicating none or little biasness between the groups. Then, the uniform and non-uniform biasness was tested by means of Ordinal Logistic Regression to asses Differential Item Functioning. The majority of the items did not have both uniform and non-uniform biasness. The few that did however, (41, 37, 36, 14 and 18) can be explained by the different ways in which cultures interpret emotions as proven in the literature. Recommendations were made for future research. / Thesis (MCom (Industrial Psychology))--North-West University, Potchefstroom Campus, 2013

Emotional intelligence (EI) in organisations has grown immensely over the past two decades. Considerable research regarding this concept and the advantages it poses for the individual as well as the organisation has been conducted; however, one aspect that has not been explored sufficiently is the extent to which EI can be viewed as a culturally relevant concept. The presumption that emotions can be explained in the same way across different culture cannot be made; therefore measuring EI across cultures becomes important and challenging. Language can be viewed as a vehicle of culture, and emotions are shaped by the language spoken in the specific culture. A quantitative research design was used in this study. The sample consisted of mid-level miners from the Gauteng and North West Province (N = 357). Stratified sampling was used to include the West-Germanic (English and Afrikaans; n = 158) and Sotho group (North Sotho, South Sotho, and Setswana; n = 199). Questionnaires were distributed amongst the participants from the different mines, were completed within a set time, and collected immediately afterwards. The first objective of the study was to determine whether the Greek Emotional Intelligence Scale (GEIS) is a reliable test when measuring West-Germanic (English and Afrikaans) and Sotho (Northern Sotho, Southern Sotho, and Setswana) languages. A four-factor model on the combined sample as well as the two language groups was tested. The four factor model of the West-Germanic group showed poor alphas. (Expression and Recognition of Emotions = 0.66; Caring and Empathy = 0.63; Control of Emotions = 0.80 and Use of Emotions to Facilitate Thinking = 0.62.) Several items from the expression and recognition scale cross-loaded on the other three factors, and it was decided to test a three-factor model. The three factor model indicated the best goodness-of-fit indices and showed acceptable alpha coefficients (Use of Emotion to Facilitate Thinking = 0.83; Caring and Empathy = 0.83 and Control of Emotions = 0.77). The second objective was to determine if the Greek Emotional Intelligence Scale is an equivalent measuring instrument when measuring the West-Germanic (English and Afrikaans) and Sotho (Northern Sotho, Southern Sotho, and Setswana) languages. Goodness-of-fit was tested on the total population as well as the two language family groups. The four factors are Expression and Recognition of Emotions, Caring and Empathy, Control of Emotions and Use of Emotions. The model indices (GFI, CFI and RMSEA) were satisfactory on the total population as well as the Sotho groups, but there were problems noted when testing the goodness-of-fit for the West- Germanic language group. It was therefore decided to test a three factor model (Use of Emotions, Caring and Empathy and Control of Emotions). These problems could possibly be explained by the cultural differences between the two language groups. The final research objective was to investigate whether the items of the Greek Emotional Intelligence Scale are unbiased when measuring West-Germanic (English and Afrikaans) and Sotho (Northern Sotho, Southern Sotho, and Setswana) languages. Firstly, ANOVAS were produced to determine the mean differences between the groups. There weren’t many differences, indicating none or little biasness between the groups. Then, the uniform and non-uniform biasness was tested by means of Ordinal Logistic Regression to asses Differential Item Functioning. The majority of the items did not have both uniform and non-uniform biasness. The few that did however, (41, 37, 36, 14 and 18) can be explained by the different ways in which cultures interpret emotions as proven in the literature. Recommendations were made for future research. / Thesis (MCom (Industrial Psychology))--North-West University, Potchefstroom Campus, 2013

This research aimed to investigate the contributions of emotions and Emotional Intelligence (EI) to social work practice with children and families in Malaysia. A mixture of methods within an ethnographic approach was used. The Assessing Emotions Scale (AES) (Schutte et al., 2007) was completed by 105 child social workers. The levels of EI and differences in EI according to certain demographic characteristics were identified. Individual interviews with 25 child social workers were conducted to explore their perceptions concerning emotions and EI in the workplace. Observations were carried out over a period of three months to investigate how emotions were expressed in terms of behaviour. The quantitative results showed that levels of EI were high (mean=131.69, SD=12.483). The workers were reported to be emotionally intelligent in perceiving emotions, dealing with their own and others’ emotions and utilising emotions in their professional conduct. There were no significant differences by gender (p-value=0.367 > 0.05), marital status (p-value=0.694 > 0.05), age group F (d=3, 101), P > .05=1.468) or length of service F (d=4,100), P > .05=0.331), but there was a difference with regard to educational level F (d=3,101), P < .05=6.878). The qualitative research findings seemed to show that skills in empathising, expressing and regulating one’s and others’ emotional experiences, as well as religious practice factors, contributed to EI. The qualitative research findings also revealed the strength of religious beliefs in Malaysian social workers, which facilitate the qualities of EI. The present study implies that the spiritual and religious dimension of practice should not be ignored in social work education and training.

This research aimed to investigate the contributions of emotions and Emotional Intelligence (EI) to social work practice with children and families in Malaysia. A mixture of methods within an ethnographic approach was used. The Assessing Emotions Scale (AES) (Schutte et al., 2007) was completed by 105 child social workers. The levels of EI and differences in EI according to certain demographic characteristics were identified. Individual interviews with 25 child social workers were conducted to explore their perceptions concerning emotions and EI in the workplace. Observations were carried out over a period of three months to investigate how emotions were expressed in terms of behaviour. The quantitative results showed that levels of EI were high (mean=131.69, SD=12.483). The workers were reported to be emotionally intelligent in perceiving emotions, dealing with their own and others’ emotions and utilising emotions in their professional conduct. There were no significant differences by gender (p-value=0.367>0.05), marital status (p-value=0.694>0.05), age group F (d=3, 101), P>.05=1.468) or length of service F (d=4,100), P>.05=0.331), but there was a difference with regard to educational level F (d=3,101), P<.05=6.878). The qualitative research findings seemed to show that skills in empathising, expressing and regulating one’s and others’ emotional experiences, as well as religious practice factors, contributed to EI. The qualitative research findings also revealed the strength of religious beliefs in Malaysian social workers, which facilitate the qualities of EI. The present study implies that the spiritual and religious dimension of practice should not be ignored in social work education and training.