This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates from a high dimensional set of psychological measurements. (authors' abstract)

Researchers are often interested in comparing brain activity between experimental contexts. Event-related potentials (ERPs) are a common electrophysiological measure of brain activity that is time-locked to an event (e.g., a stimulus presented to the participant). A variety of decomposition methods has been used for ERP data among them temporal exploratory factor analysis (EFA). Essentially, temporal EFA decomposes the ERP waveform into a set of latent factors where the factor loadings reflect the time courses of the latent factors, and the amplitudes are represented by the factor scores. An important methodological concern is to ensure the estimates of the condition effects are unbiased and the term variance misallocation has been introduced in reference to the case of biased estimates. The aim of the present thesis was to explore how exploratory factor analytic methods can be made less prone to variance misallocation. These efforts resulted in a series of three publications in which variance misallocation in EFA was described as a consequence of the properties of ERP data, ESEM was proposed as an extension of EFA that acknowledges the structure of ERP data sets, and regularized estimation was suggested as an alternative to simple structure rotation with desirable properties. The presence of multiple sources of (co-)variance, the factor scoring step, and high temporal overlap of the factors were identified as major causes of variance misallocation in EFA for ERP data. It was shown that ESEM is capable of separating the (co-)variance sources and that it avoids biases due to factor scoring. Further, regularized estimation was shown to be a suitable alternative for factor rotation that is able to recover factor loading patterns in which only a subset of the variables follow a simple structure. Based on these results, regSEMs and ESEMs with ERP-specific rotation have been proposed as promising extensions of the EFA approach that might be less prone to variance misallocation. Future research should provide a direct comparison of regSEM and ESEM, and conduct simulation studies with more physiologically motivated data generation algorithms.

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Orientation: South Africa’s cultural and linguistic diversity requires special measures to ensure that the assessments used in employment settings are scrupulously fair. To this end, Section 8 of The Employment Equity Act requires that psychometric tests are scientifically proved to be valid and reliable and not to discriminate unfairly against any individual or group. The South African Personality Inventory (SAPI) sets out to meet these criteria by incorporating culture-specific elements and by providing versions in each of South Africa’s 11 official languages. o Research purpose: The key determination of this study was to investigate the psychometric properties of the Afrikaans version of the South African Personality Inventory (SAPI). The aforementioned properties include item analysis, exploratory factor analysis (EFA), reliability analysis, product-moment correlation and multivariate analysis of variance (MANOVA). o Motivation for the study: To contribute to the fair, valid and reliable use of the SAPI questionnaire in all language versions of the instrument by examining the psychometric properties of the Afrikaans version and comparing it with the validated English version. Once this has been done for each of the 11 official South African languages versions, a culturally neutral instrument will be available for the full diversity of employment settings in South Africa. o Research design, approach and method: This study used a quantitative cross-sectional research design with an emic approach, objectivist ontology and a post-positivist research paradigm. Primary data was collected by administering the Afrikaans version of the SAPI questionnaire to a non-probability sample of 201 purposively selected white Afrikaans-speaking South Africans who are economically and non-economically active and have a minimum qualification of Grade 12. An online Afrikaans version of the SAPI along with a biographical questionnaire was used to collect data. Item analysis was investigated by means of a descriptive statistical analysis. An initial principle component analysis followed with exploratory factor analysis was performed to determine the instrument’s factor structure. A reliability analysis was conducted in order to measure the internal consistency of the instrument. Product-moment correlations explored the relationships between variables. Further analysis was done to detect the relationships of the variables and to detect differences. Main findings: The White Afrikaners attach immense importance to the social-relational factors. From the six factors, only three factors were extracted, namely the Social-relational Positive, combined Social-relational Negative/Conscientiousness, and Intellect/Openness factors. These factors showed adequate validity and reliability. The item functionality needs to be re-evaluated in order to measure all the six factors of the SAPI and different analytical techniques should be applied. The relationships between the remaining three factors were sufficient, and only age differences were detected in the experience of Social Relational Negative/Conscientiousness o Practical/managerial implications: The results of this study provide a firm foundation for the further investigation of the validity of the Afrikaans version of the questionnaire. Furthermore, insight is given to researchers and practitioners on the need to develop, adapt or translate psychometric instruments, especially for use in an environment which is multicultural and multilingual. o Contribution/value-add: This study contributes to cultural-specific research on the assessment of personality in South Africa. Its thorough investigation and attempt to validate the Afrikaans version of the SAPI is supported by an extensive body of literature relevant to standardizing the SAPI. Practitioners and organisations will now be able to administer a culturally informed personality assessment where the home language of the employees is Afrikaans. / Dissertation (MCom)--University of Pretoria, 2019. / Human Resource Management / MCom / Unrestricted

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The purpose of this study is to explore the concept of customer vulnerability across varying service industries. While the concept of customer vulnerability has been debated in business, marketing, sociology, and psychology scholarly literature, there has been little research conducted that specifically investigates consumers’ perceptions of vulnerability during the service exchange. Specific to this research, customer vulnerability is defined as experiences in which consumers participate in a service exchange with a firm during a time of individual or shared medical, physical, emotional, or spiritual necessity, whether the vulnerability is experienced during the course of the transaction or whether consumers arrive to the firm already immersed in that state. Customer vulnerability is an important concept for research, as the exchanges between service providers and consumers during a time of vulnerability are heightened in emotion and memory. As a result, these exchanges lend themselves to be more likely to become transformative experiences, in that the provider and recipient may be left emotionally, intellectually, and spiritually changed as a result. Therefore, additional focus is needed in this area to understand transformative experiences in service as a result of exchanges between service providers and customers. The explorative study first conducts a critical literature review across disciplines regarding scales that have been used and are considered by the researcher to be important constructs of analysis when exploring vulnerable service encounters. Next, a qualitative investigation of consumer forums is conducted in the air travel, banking, and assisted living industries, which resulted in the finding that similar behavioral attributes within industry, but iv different behavioral attributes between industries, were needed to cater to consumers experiencing vulnerability. The study is followed by a quantitative investigation of vulnerable service experiences through an application of the identified scales combined with the results of the qualitative investigation across the same three industries. Exploratory factor analysis revealed that two industries’ results loaded onto two factors; however, each industry’s factors differed due to the nature of that industry. The air travel factors were entitled task humanism and task functionality. The banking factors were entitled maintenance functionality and maintenance humanism. A third factor was revealed within the assisted living facility segment entitled hospitable humanism, along with factors of personal humanism and personal functionality. The study concludes by presenting a discussion of the findings and practical implications for service industry managers, a presentation of the study limitations, and suggestions for future research.

Throughout the scientific literature, researchers have referred to self-respect and self-esteem as being the same construct. However, the present study advocated that they exist as two distinct constructs. In this quantitative study, an instrument was developed to measure self-respect as a construct, and subsequently distinguish that self-respect is distinct from the construct of self-esteem. Exploratory factor analyses (EFA) indicated 32.60% of the variance was accounted for by the 11-item Jefferson Self-Respect instrument (JSR), which measured self-respect as a unidimensional construct. The reliability estimate of the scores from the JSR reached an acceptable α = .82. Fit indices (RMSEA = .031, SRMR = .037, CFI = .982, and TLI = .977) from the confirmatory factor analyses (CFA) signified a well-fitted hypothesized model of self-respect that existed as a unidimensional construct. Additionally, the CFA revealed that the construct of self-respect, and self-esteem was generally distinct, and the strength of the correlation between the two constructs was moderately positive (r = .62).

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For decades, globalization has introduced both opportunities and pressures for companies around the world by introducing freer trade, increasing foreign direct investment and the international use of intellectual property that boosted the diffusion of knowledge and technology. As a result, the international competition has become more intense for many firms. Hence, putting a good or service into the market has never been as demanding as now and the demand to be early mover and have a low time-to-market is increasingly important for first be successful. This research will focus on determining whether a low time-to-market will contribute to a higher firm performance and what relation the time to market has with a firm’s business model framework and business model openness, preference for external funding and type of innovation. A theoretical framework was created based on relevant literature to be able to reach the objective of this thesis. The conceptual model was created from the literature which consisted of the hypotheses and variables that the study aimed to investigate. From the theoretical framework using a confirmatory approach, a survey was designed that was shared online to available network that the authors had. In summary, 43% of respondents had some sort of managing positions (upper management, manager and project management), 83% were mainly based in Sweden but also in Denmark, Germany, USA etc. and the work experience of the respondents was fairly distributed. Overall, 50% of the firms were between 0 to 30 years (1% did not respond) and more than 50% were considered to be a large firm depending if the classification was based on turnover with 51% as large firms (17% did not respond) or based on the number of employees with 58% as large firms. Data with 200 applicable responses (eight were removed i.e., 3.8%) was collected over four weeks of time. With the use of structural equation modeling and exploratory factor analysis, the collected data could be analyzed, and the hypotheses relevance could be answered. The final model was concluded to be adequate, as GOF indices and standardized factor loadings were on a sufficient level. As a result, the research showed that a fast time-to-market had a positive impact on firm performance measured in monetary measures (sales, profit, and market share) and that marketing innovation had a positive mediating effect on time to market and thus financial performance. The hypotheses regarding business model framework and capital structure correlating positive time to market were removed since the model was reworked. However, the study showed that technological innovation (product and process innovation) had a positive correlation to preference for external funding such as debt or issuance of equity. Since the construct validity of open business model and technological innovation was proved to be non-convergent, any deeper conclusion of this must be carefully reviewed. The results reinforced what other studies had shown, which is that open innovation or a more open business model contributes to both technological and marketing innovation. In summary, this demonstrated that a positive mediating effect existed for an open business model and marketing innovation which will speed up the time-to-market and hence increase the financial performance. Suggestion of future work could be to conduct similar studies in specific industry sectors to observe whether there is a difference in time-to-market depending on industry and what effect innovation and business model framework has.