The objective of this study was to investigate the construct validity of the Emotional Intelligence Scale (EIS) from a wellness perspective. The conceptualisation and measurement of emotional intelligence has recently received much attention due to its applicability to various workplace variables. The theoretical component of this study covers the definition and measurement of emotional intelligence, and integrates this with the concepts of salutogenesis and psychological well-being. The empirical study investigates the relationship between emotional intelligence and three wellness-related constructs. Measures of these constructs were administered to a non-random sample of 118 employees at a South African software development organisation. Statistical analysis confirmed the relationship between emotional intelligence and sense of coherence, locus of control and three of the five emotion-focused coping strategies measured. / Industtrial and Organisation Psychology / M.Comm. (Industrial and Organisational Psychology)

The objective of this study was to investigate the construct validity of the Emotional Intelligence Scale (EIS) from a wellness perspective. The conceptualisation and measurement of emotional intelligence has recently received much attention due to its applicability to various workplace variables. The theoretical component of this study covers the definition and measurement of emotional intelligence, and integrates this with the concepts of salutogenesis and psychological well-being. The empirical study investigates the relationship between emotional intelligence and three wellness-related constructs. Measures of these constructs were administered to a non-random sample of 118 employees at a South African software development organisation. Statistical analysis confirmed the relationship between emotional intelligence and sense of coherence, locus of control and three of the five emotion-focused coping strategies measured. / Industtrial and Organisation Psychology / M.Comm. (Industrial and Organisational Psychology)

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

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