Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Ethnic status is one of the most protected demographic groups in terms of test bias and discrimination in personnel selection, as such bias breaches many laws, morals, and ethical procedures. To date there has only been two published studies that have used New Zealand relevant ethnic groups when analysing whether personality measures used in pre-employment settings exhibit different mean scores. The present thesis performed a systematic evaluation on the impact of ethnicity on personality traits. The study examined the impact of ethnicity on NZ Army Officer applicant personality assessment scores measured by the EPQ-R and GPP-I. Four ethnic groups (NZ Europeans, Mâori, Pasifika, and Asian) were analysed for mean trait score differences among ethnic groups, the stability of these differences across different personality inventories and models, the variance of personality traits, the impact of ethnicity on age and gender relationships with personality traits, and how these differences were related to employment selection outcomes. The analyses revealed that ethnicity did have some impact on mean personality assessment scores used in the study. However, these were mostly small differences among ethnic groups. In addition, most of these differences found on the EPQ-R and the GPP-I were not consistent across inventories and models. There were no significant variance differences found on personality traits among ethnic groups. While initial analysis suggested that ethnicity did not influence the relationship between age and gender on personality assessment, further examination suggested that the relationship between gender and personality was impacted on by ethnicity. There were reassuring results found for New Zealand psychologists and HR specialists, as only two of the twelve traits analysed showed moderate differences on traits that were related to selection outcomes. However, for the NZ Army OSB selection process the findings in the present study indicate that the Lie scale on the EPQ-R and the Vigor trait on the GPP-I may need to be interpreted with caution for Asian and Pasifika groups. These results are discussed in terms of implications for personality theory, measurement, and the direction of future research.

Magister Psychologiae - MPsych / The aim of the present study was to determine whether it was possible to identify changes in levels of postpartum depression and maternal adjustment and attitude in primiparae before and after birth. It aimed, furthermore, at assessing certain risk factors that could provide an understanding of the etiological factors (causes, determinants) influencing postpartum levels of depression and maternal adjustment and attitude. The study focused on risk factors among married and unmarried primiparae (first time mothers), with a view to establishing vulnerability profiles of the respective groups. The specific risk factors that formed part of the investigation were social support, personality (neuroticism) and life events. All the subjects investigated were recruited from the Mitchells Plain Maternity and Obstetrics Unit. A sample of 70 subjects, in the third trimester of pregnancy, voluntarily participated in the first part of this study. Of these, 26 belonged to the married group and 44 belonged to the unmarried group. As a result of the attrition factor, 57 subjects constituted the final sample for analysis. The final sample comprised 20 married and 37 unmarried subjects. Subjects were followed up four to eight weeks postpartum. Results revealed that there were no significant changes in levels of depression between the married and unmarried groups, either before or after delivery. Of significance was that with the event of birth, the depression scores amongst women rated high in neuroticism decreased significantly. Married women with high social support satisfaction scores were found to have low depression scores. Similarly, married women who experienced fewer negative life events had lower levels of depression than did the unmarried women who experienced fewer negative life events. The maternal adjustment and attitude scores did not change before or after birth, except in the married group. The married group showed a significant increase in scores on the maternal adjustment and attitude scores after the birth of the child. Regarding personality (neuroticism), the high neuroticism scorers had significantly lower maternal adjustment and attitude than did the low neuroticism scorers. As was the case with social support and depression, married women with high social support had a higher maternal adjustment and attitude. A significant effect of negative life events on maternal adjustment and attitude was only found for the married women (after delivery) who experienced a low number of life events. A stepwise multiple regression analysis was performed, in order to yield a model in which the depression and maternal adjustment and attitude scores would be predicted by risk factors. The finding of this analysis for both depression and maternal attitude and adjustment was not significant. Social Identity theory was suggested as a possible interpretation of these results. Future research which views social identity as a factor in understanding postpartum depression and maternal adjustment and attitude has been proposed .