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

Thesis (Ph.D.)--University of Tulsa, 1993. / Includes bibliographical references (leaves 83-89).

Thesis (Ph. D.)--University of California, San Diego, 2000. / Vita. Includes bibliographical references (leaves 154-163).

Thesis (Ph. D.)--Illinois State University, 2001. / Title from title page screen, viewed March 14, 2006. Dissertation Committee: Mark E. Swerdlik (chair), David L. Wodrich (co-chair), Valeri Farmer-Dougan, Alvin House. Includes bibliographical references (leaves [106]-117) and abstract. Also available in print.

Thesis (M.Soc.Sc. Psychology)--University of Waikato, 2006. / Includes bibliographical references (leaves 58-69)

This study identified a sample of children with specific learning disabilities according to Public Law 94-142 criteria. The primary purpose of the study was to examine whether sample member's intravariability of WISC-R subtest scaled scores was related to their reading achievement gain. A second purpose was to determine if any relationship existed between intelligence and reading achievement gain. Eighty-four Resource placed elementary students composed the study sample. They ranged from six to eleven years of age, and were primarily male caucasian. Since 1989, each sample member had been administered the WISC-R once; and , each sample member had been administered the WJTEA-R twice, with at least 12 months separating the two administrations . Results identified no relationship between WSIC-R subtest scaled score scatter and reading achievment gain on the WJTEA-R. A positive correlation was identified be tween intelligence level and academic gains in reading. Important ancillary correlations of significance identified for all subjects included a negative relationship be tween the variable Age and the variables Intelligence , Academic gain, and the WISC-R FD factor . When intelligence was held to within average parameters significant correlations were identified between the variable Achievement and the variables Age and Time (negative), and with the WISC-R FD and VC factors (positive) . Multiple regression analyses indicated the FD factor best able to predict academic gain for this group. It is probable, that in the identification of learning disabled students, that the identification of processing disorders (as with previously sought patterns) is not viable. It may be that the only key characteristics are intellectual level and severe discrepancy.

The ceiling and basal rules of the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV; Wechsler, 2008) only function as intended if subtest items proceed in order of difficulty. While many aspects of the WAIS-IV have been researched, there is no literature about subtest item difficulty and precise item difficulty values are not available. The WAIS-IV was developed within the framework of Classical Test Theory (CTT) and item difficulty was most often determined using p-values. One limitation of this method is that item difficulty values are sample dependent. Both standard error of measurement, an important indicator of reliability, and p-values change when the sample changes. A different framework within which psychological tests can be created, analyzed and refined is called Item Response Theory (IRT). IRT places items and person ability onto the same scale using linear transformations and links item difficulty level to person ability. As a result, IRT is said to be produce sample-independent statistics. Rasch modeling, a form of IRT, is one parameter logistic model that is appropriate for items with only two response options and assumes that the only factors affecting test performance are characteristics of items, such as their difficulty level or their relationship to the construct being measured by the test, and characteristics of participants, such as their ability levels. The partial credit model is similar to the standard dichotomous Rasch model, except that it is appropriate for items with more than two response options. Proponents of standard dichotomous Rasch model argue that it has distinct advantages above both CTT-based methods as well as other IRT models (Bond & Fox, 2007; Embretson & Reise, 2000; Furr & Bacharach, 2013; Hambleton & Jones, 1993) because of the principle of monotonicity, also referred to as specific objectivity, the principle of additivity or double cancellation, which “establishes that two parameters are additively related to a third variable” (Embretson & Reise, 2000, p. 148). In other words, because of the principle of monotonicity, in Rasch modeling, probability of correctly answering an item is the additive function of individuals’ ability, or trait level, and the item’s degree of difficulty. As ability increases, so does an individual’s probability of answering that item. Because only item difficulty and person ability affect an individual’s chance of correctly answering an item, inter-individual comparisons can be made even if individuals did not receive identical items or items of the same difficulty level. This is why Rasch modeling is referred to as a test-free measurement. The purpose of this study was to apply a standard dichotomous Rasch model or partial credit model to the individual items of seven core perceptual, verbal and working memory subtests of the WAIS-IV: Block Design, Matrix Reasoning, Visual Puzzles, Similarities, Vocabulary, Information, Arithmetic Digits Forward, Digits Backward and Digit Sequencing. Results revealed that WAIS-IV subtests fall into one of three categories: optimally ordered, near optimally ordered and sub-optimally ordered. Optimally ordered subtests, Digits Forward and Digits Backward, had no disordered items. Near optimally ordered subtests were those with one to three disordered items and included Digit Sequencing, Arithmetic, Similarities and Block Design. Sub-optimally ordered subtests consisted of Matrix Reasoning, Visual Puzzles, Information and Vocabulary, with the number of disordered items ranging from six to 16. Two major implications of the result of this study were considered: the impact on individuals’ scores and the impact on overall test administration time. While the number of disordered items ranged from 0 to 16, the overall impact on raw scores was deemed minimal. Because of where the disordered items occur in the subtest, most individuals are administered all the items that they would be expected to answer correctly. A one-point reduction in any one subtest is unlikely to significantly affect overall index scores, which are the scores most commonly interpreted in the WAIS-IV. However, if an individual received a one-point reduction across all subtests, this may have a more noticeable impact on index scores. In cases where individuals discontinue before having a chance to answer items that were easier, clinicians may consider testing the limits. While this would have no impact on raw scores, it may provide clinicians with a better understanding of individuals’ true abilities. Based on the findings of this study, clinicians may consider administering only certain items in order to test the limits, based on the items’ difficulty value. This study found that the start point for most subtests is too easy for most individuals. For some subtests, most individuals may be administered more than 10 items that are too easy for them. Other than increasing overall administration time, it is not clear what impact, of any, this has. However, it does suggest the need to reevaluate current start items so that they are the true basal for most people. Future studies should break standard test administration by ignoring basal and ceiling rules to collect data on more items. In order to help clarify why some items are more or less difficult than would be expected given their ordinal rank, future studies should include a qualitative aspect, where, after each subtest, individuals are asked describe what they found easy and difficult about each item. Finally, future research should examine the effects of item ordering on participant performance. While this study revealed that only minimal reductions in index scores likely result from the prematurely stopping test administration, it is not known if disordering has other impacts on performance, perhaps by increasing or decreasing an individual’s confidence.

No description available.

The purpose of this research was to investigate the possibility that there are sex differences between ADD-H boys and girls. ADD-H boys and girls were compared on the four variables of presenting problem, referral source, intelligence test performance on the Wechsler Intelligence Scale for Children-Revised (WISC-R) and WISC-R subtest configuration. General demographics of the ADD-H boys and girls families were also examined. The subjects participating in this study were 39 girls and 41 boys from a large child outpatient facility in the Dallas/Fort Worth metroplex diagnosed as ADD-H between February 1984 and February 1986. No differences were found when comparing ADD-H boys and girls on all four variables. These results may suggest that there are no real differences in regards to presenting problem, referral source, IQ scores and subtest configuration between boys and girls diagnosed ADD-H.