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Predicting Multi-Trait Motivation from Multi-Trait Personality in HR Professionals

<p> The research investigates the intersection of personality and motivation, and specifically, the predictive relationship between factors of the five-factor model of personality and the categories of the Assessment of Individual Motives-Questionnaire motivation model. Although significant research into multi-trait personality models exists, there is significantly less research into multi-trait motivation models and little research into how multi-trait models in these two fields intersect. No research exists within this field for human resource professionals. A canonical correlation analysis was chosen to properly represent all potential between-factor effects of the two variable sets. The resulting data met all assumptions and showed statistical significance. The results showed significance for the overall canonical correlation between the predictor and the outcome variables and showed that there were three statistically significant canonical functions between the two sets of variables. Four personality variables and three motivation variables met the statistical cutoff showing contribution to the canonical correlation. These results showed that the personality factors of Agreeableness and Conscientiousness negatively predicted the motivation category of Competitive. The personality factor of Extraversion predicted the motivation category of Cooperative, and the personality factor of Openness predicted the motivation category of Integrity of Self. These results suggest an opportunity for further investigation into the relationships between Openness and Integrity of Self, and between Conscientiousness and Competitive. Also, more canonical correlation research into this field may help understanding these complex relationships. Finally, extending this research to the public could provide a better understanding of personality and motivation outside the workplace.</p><p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:10977294
Date29 November 2018
CreatorsFrazer, Paul
PublisherCapella University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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