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Personality assessments are frequently used to make decisions and predictions, creating a demand for assessments that are non-discriminatory. South African legislation requires psychological tests to be scientifically proven to be valid, reliable, fair and non-biased. In response to the necessity for a measure sensitive to indigenous differences, South African and Dutch researchers developed the South African Personality Inventory (SAPI). The SAPI represents a theoretical model of personality that uses an indigenous (emic) and universal (etic) approach to capture South Africa's rich multicultural and multilingual view of personhood. The development of SAPI items and its simultaneous translation from English into all official languages necessitated the investigation of all the translated language versions' psychometric properties. This study used Exploratory Structural Equation Modelling to examine the factor structure and model fit of two indigenous language versions of the SAPI, targeting the Tshivenda and the Southern Sotho languages. To accomplish this objective, Study 1 (N = 290) was done in South Africa among the Tshivenda ethnic group, while Study 2 (N = 293) was conducted in South Africa among the Sesotho ethnic group. An acquiescence response pattern was noticed in both studies, possibly to adhere to group consensus and emphasizing harmony within relationships. The ESEM solutions generated an excellent fit for both language versions, and most facets loaded acceptably on their expected factors. The Neuroticism factor proved to be problematic in both language versions. Within the Tshivenda version, the Emotional Stability facet did not generate adequate loadings on any SAPI factors. In contrast, neither Emotional Stability nor Negative Emotionality loaded sufficiently on the Neuroticism factor for the Southern Sotho version. While the overall fit of the six-factor model was excellent, the language in which a person completes a personality questionnaire seems to influence such an assessment's factor ...

ORIENTATION : Most psychological measuring instruments developed in Western, educated, industrial, rich, democratic (W.E.I.R.D.) countries have been found to inadequately capture and represent personality outside the borders of these countries. Consequently, culturally informed or indigenous measuring instruments need to be developed. RESEARCH PURPOSE : This study aimed to inspect whether an overlap exists between the empirical data obtained and the theoretical six-factor SAPI framework, providing evidence for an indigenous personality structure in a multi-cultural context. MOTIVATION FOR THE STUDY : Psychological professionals in South Africa have been criticised for using culturally biased instruments that do not display an accurate representation of the 11 official cultural groups. The South African Personality Inventory (SAPI) aims to address these criticisms, highlighting the importance of establishing the cultural applicability of the model through model-fit analyses. RESEARCH APPROACH/DESIGN AND METHOD : A quantitative, cross-sectional design was used to administer the SAPI-English version to a sample of employed, unemployed and employmentseeking South Africans (N = 3912). Exploratory Structural Equation Modelling (ESEM) was used to model the data. MAIN FINDINGS : The results revealed that the model was a good fit to the data and that the SAPI factors accurately represent personality in a multi-cultural context. PRACTICAL/MANAGERIAL IMPLICATION : Using a well-researched indigenous personality assessment like the SAPI can assist South African organisations to fairly and reliably assess people across the 11 official cultural groups. CONTRIBUTION/VALUE-ADD : This study advances the processes surrounding indigenous test development through the establishment of a personality model and measure that encapsulates personality traits exhibited in a multi-cultural context. ; The National Research Foundation (NRF), Grant No. (111764). ; http://www.sajip.co.za ; am2020 ; Human Resource Management

This study forms part of the South African Personality Inventory project that aims to develop: (a) an indigenous theoretical model of personality; and (b) a unique personality measure that is in line with South African legislation and that can be used fairly to assess personality across different South African language and cultural groups. In line with this mandate, the objectives in this study were twofold: first, to validate the Relationship Harmony and Soft-Heartedness Scales of the South African Personality Inventory and to determine whether these constructs are unique and distinct from the Big Five personality factors, and second, to determine whether Relationship Harmony and Soft-Heartedness are predictive of an external criterion, prosocial behaviour. A quantitative, cross-sectional research design with convenience sampling was used. Data were gathered from students (N = 431) at two tertiary institutions in South Africa, using preliminary Relationship Harmony and Soft-Heartedness Scales, the Basic Traits Inventory (Short form: Research Version), and the Prosocialness Scale. Results indicated that the Relationship Harmony and Soft-Heartedness Scales yielded five and six reliable factors, respectively, and presented good content, convergent, discriminant, and predictive validity, adding substantial predictive value for prosocial behaviour over and above the Big Five Model ; National Research Foundation (NRF; SUR2009062300001496) and SANPAD (09_42)

ORIENTATION: A multicultural country like South Africa needs fair cross-cultural psychometric instruments. RESEARCH PURPOSE: This article reports on the process of identifying items for, and provides a quantitative evaluation of, the South African Personality Inventory (SAPI) items. MOTIVATION FOR THE STUDY: The study intended to develop an indigenous and psychometrically sound personality instrument that adheres to the requirements of South African legislation and excludes cultural bias. RESEARCH DESIGN, APPROACH AND METHOD: The authors used a cross-sectional design. They measured the nine SAPI clusters identified in the qualitative stage of the SAPI project in 11 separate quantitative studies. Convenience sampling yielded 6735 participants. Statistical analysis focused on the construct validity and reliability of items. The authors eliminated items that showed poor performance, based on common psychometric criteria, and selected the best performing items to form part of the final version of the SAPI. MAIN FINDINGS: The authors developed 2573 items from the nine SAPI clusters. Of these, 2268 items were valid and reliable representations of the SAPI facets. PRACTICAL/MANAGERIAL IMPLICATIONS: The authors developed a large item pool. It measures personality in South Africa. Researchers can refine it for the SAPI. Furthermore, the project illustrates an approach that researchers can use in projects that aim to develop culturallyinformed psychological measures. CONTRIBUTION/VALUE-ADD: Personality assessment is important for recruiting, selecting and developing employees. This study contributes to the current knowledge about the early processes researchers follow when they develop a personality instrument that measures personality fairly in different cultural groups, as the SAPI does. ; The National Research Foundation (NRF; SUR2009062300001496) and SANPAD (09_42) ; http://www.sajip.co.za ; am2013

Orientation: A multicultural country like South Africa needs fair cross-cultural psychometric instruments. Research purpose: This article reports on the process of identifying items for, and provides a quantitative evaluation of, the South African Personality Inventory (SAPI) items. Motivation for the study: The study intended to develop an indigenous and psychometrically sound personality instrument that adheres to the requirements of South African legislation and excludes cultural bias. Research design, approach and method: The authors used a cross-sectional design. They measured the nine SAPI clusters identified in the qualitative stage of the SAPI project in 11 separate quantitative studies. Convenience sampling yielded 6735 participants. Statistical analysis focused on the construct validity and reliability of items. The authors eliminated items that showed poor performance, based on common psychometric criteria, and selected the best performing items to form part of the final version of the SAPI. Main findings: The authors developed 2573 items from the nine SAPI clusters. Of these, 2268 items were valid and reliable representations of the SAPI facets. Practical/managerial implications: The authors developed a large item pool. It measures personality in South Africa. Researchers can refine it for the SAPI. Furthermore, the project illustrates an approach that researchers can use in projects that aim to develop culturallyinformed psychological measures. Contribution/value-add: Personality assessment is important for recruiting, selecting and developing employees. This study contributes to the current knowledge about the early processes researchers follow when they develop a personality instrument that measures personality fairly in different cultural groups, as the SAPI does ; http://www.sajip.co.za/index.php/sajip ; http://www.sajip.co.za/index.php/sajip/article/view/1122/1482 ; http://dx.doi.org/10.4102/sajip.v39i1.1122