The primary purpose of this study was to determine the kind of neuropsychological information that can be obtained from an investigation of the Wechsler Adult Intelligence Scale (WAIS) subtests. Additionally, there was an examination of the shared variance between the WAIS and the Halstead-Reitan Neuropsychological Battery (HRNB). The archival data collected from the files of '220 females and 188 males from a large midwestern medical center were used. They had been originally diagnosed with objective research criteria.All eleven subtests of the WAIS and the HalsteadReitan Neuropsychological Battery were administered to the subjects in the years between 1981 and 1983. Thirteen scores were obtained from the HRNB measures. Statistical analyses of the results made use of the techniques of multiple regression and canonical correlation.The individual WAIS subtests were examined for the neuropsychological information they provided. Globally, three HRNB measures, APHASIA, RHY, AND CAT-TOT contributed significantly to a majority of the regression equations for the WAIS subtests. Their presence suggested that language skills, an auditory attention factor, and a general intellective factor were being tapped (Dean, 1985a).A canonical correlation was computed. The results yielded one significant correlation between the linear components of the WAIS and the HRNB tests. Only canonical variates with weights of +/- .2 were considered large enough for interpretation. The WAIS subtests meeting the .2 criteria included Block Design, Digit Symbol, and Similarities, while the HRNB measures meeting criteria were APHASIA and CAT-TOT. Therefore, it would appear that the significant variables measured the general (g) factor as in Spearman's research (1927). According to the Stewart and Love formula (cited in Pedhazur, 1982), the variability of the WAIS did overlap with the HRNB, and their relationship was symmetrical.This research demonstrated that the measured tasks from the WAIS were a complex of underlying constructs. The verbal portion of the WAIS was shown to be less highly related to the HRNB variables than the performance portion of the scale. The WAIS and HRNB do offer nonredundant information concerning the impaired and unimpaired adult's cognitive functioning.

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

This study investigated the results of administering two intelligence tests, the Wechsler Intelligence Scale for Children -Third Edition (WISC-111), and the Stanford-Binet Intelligence Scale - Fourth Edition, to each of 33 Australian children with an intellectual disability. The experiment used a counterbalanced design in which the tests, order of presentation of the tests, the gender of the subjects, and the gender of the test administrators were factors. The 33 volunteer subjects, 14 males and 19 females, aged between 6 and 16 years, and known to have an intellectual disability, were allocated randomly for the assessments. The test administrators were students in the Clinical and Organisational Masters Program from the University of South Australia. It was hypothesised that; there would be a difference between the IQs on the two tests; that on average the WISC-111 FSIQ would be lower than the SB-1V TC; and that there would be a positive relationship between the WISC-111 FSIQ and the SB-1 V TC Statistical analysis of the data found the two tests' overall scores to be significantly different, while the counterbalanced factors and their interactions did not reach significance. There was a significant 4 point difference found between the mean WISC-111 FSIQs and SB-1V TCs. The results of a Pearson Product Moment Correlation Coefficient revealed a strong positive correlation (r = .83). between the WISC-111 FSIQ and SB-1V TC. This finding supported the concurrent validity of the tests in this special population sample. It was suggested that while the two tests measured similar theoretical constructs of intelligence, the two tests were not identical and therefore the results were not interchangeable. Variable patterns of results were found among subtest scores from the two tests, and the implications for field work discussed. The differences between raw WISC-111 FSIQ and SB-1V TC scores were calculated, and a z transformation was applied to the difference scores. The resulting difference distribution and cumulative percentages were then suggested as a reference table for practitioners. Studies that examined clerical errors in scoring intelligence test protocols were reviewed. The manually scored test protocols in this study were rescored using a computer scoring programme and 27 errors were found and corrected. From the results of the experiment several suggestions were made; that agencies using large numbers of intelligence tests, or which test the same child over time, should make a decision to use the same test, wherever possible, for comparison; that all intelligence test protocols be computer scored as a checking mechanism; and that all professional staff should be aware of the possible differences which can occur between intelligence scores, resulting from norming and other differences. / thesis (MSocSc)--University of South Australia, 1999.

Thesis (Ed.D.)--Duquesne University, 2006. / Title from document title page. Abstract included in electronic submission form. Includes bibliographical references (p. 184-197) and index.

Thesis (Specialist in School Psychology)--Eastern Illinois University, 2009. / Includes bibliographical references (leaves 39-44).

Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 209-230). Available also in a digital version from Dissertation Abstracts.

Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 113-128). Available also in a digital version from Dissertation Abstracts.

Theses (Ed.S.)--Marshall University, 2006. / Title from document title page. Includes abstract. Document formatted into pages: contains15 p. Bibliography: page 15.

Theses (Ed.S.)--Marshall University, 2006. / Title from document title page. Includes abstract. Document formatted into pages: contains v, 12 pages. Bibliography: page 12.