hogan personality inventory
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Author(s):  
Michael J. Boudreaux ◽  
Brandon T. Ferrell ◽  
Nathan A. Hundley ◽  
Ryne A. Sherman

Abstract. Hogan et al. (2013) proposed a personality-based model of employability that describes individual differences in (1) being rewarding to deal with, (2) being able to learn the job, and (3) being willing to work hard. In this study, we evaluated the model by selecting subscales from the Hogan Personality Inventory (HPI; Hogan & Hogan, 2007 ) that best predicted supervisor ratings of competencies related to these three constructs. The psychometric properties of those scales were examined in independent samples. Results indicated that the scales converged with similar scales from other instruments, covaried in meaningful ways with observer descriptions, and predicted supervisor ratings of job performance. The measure – which is 64% shorter than the full HPI – includes personality characteristics applicable to most jobs across multiple job families that can be used to identify successful candidates.


2021 ◽  
pp. 003329412110021
Author(s):  
Adrian Furnham ◽  
Luke Treglown

This study focused on the idea that there are predictable differences between those individuals who opt for Scientific rather than the Commerce/Practitioner jobs and consulting assignments. A total of 2278 adults from a variety of occupations completed three validated questionnaires: the first assessed the behavioural tendency of an individual when one is exposed to stress and which could derail one’s business career (HDS: Hogan Development Survey); the second the values and preferences that indicate work motivation (MVPI: The Motives, Values and Preferences Inventory), and the third, seven bright-side personality factors (HPI: Hogan Personality Inventory). The MVPI measured interests in scientific and commercial/enterprising activities. Correlations, regressions and SEM indicated both similarities and differences in the relationship between personality traits and values. Bright-side personality traits accounted for more the variance for those interested in Science while dark-side traits accounted for more variance for those interested in the Commerce. The biggest difference occurred in Inquisitiveness (Curiosity, Openness to Experience) which was much higher for those interested in science. Implications for personnel selection, job-fit and promotion were discussed.


2019 ◽  
Vol 14 (4) ◽  
pp. 372-385 ◽  
Author(s):  
Mădălina Bălan ◽  
Silvia Marin ◽  
Andreea Mitan ◽  
Florina Pînzaru ◽  
Elena-Mădălina Vătămănescu ◽  
...  

Abstract The generational differences among leaders have progressively captured the attention of both researchers and practitioners interested in their dynamics within the work environment. Many analyses in this respect have been focused on the differences between Millennials (Generation Y) and Generation X members from a personality-centric perspective, the great majority of the examinations revolving around Western research samples. By acknowledging the current state and assuming the calls for further investigations advanced by various researchers, this conceptual and empirical undertaking aims to provide an exploratory outlook on generational differences among Romanian leaders, by employing worldwide reputed research instruments such as the Hogan Personality Inventory (HPI), Hogan Development Survey (HDS) and Motives, Values, Preferences Inventory (MVPI). A sample of over 700 subjects was considered in the running of the statistical analyses, thus allowing to draw pertinent conclusions apposite to the envisaged population. Even though statistically significant findings were retrieved on few scales pertaining to the three applied instruments, one key insight advanced by the present endeavor resides in the extension of the scope of the existing literature dedicated to the generational differences from a leadership perspective via the integration of an Eastern European landscape which adds to the evidence in the field and opens up new research challenges for complementary scrutiny.


2013 ◽  
Vol 21 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Jesús F. Salgado ◽  
Silvia Moscoso ◽  
Pamela Alonso

2008 ◽  
Vol 102 (2) ◽  
pp. 495-508 ◽  
Author(s):  
Thomas H. Stone ◽  
Jennifer L. Kisamore ◽  
I. M. Jawahar

Interest and research on academic misconduct has become more salient in part due to recent publicized academic and organizational scandals. The current study investigated a possible interaction between perception of the university's academic culture and personality, conceptualized as Reliability, on students' perceptions of academic misconduct. A convenience sample of 217 university business students (91 men, 126 women), whose average age was 22.3 yr. ( SD = 4.4) was tested. Reliability was measured with an occupational scale included in the Hogan Personality Inventory. Two hierarchical regression analyses were conducted using Cheating Intentions and Likelihood of Reporting Cheating as criteria. Age, Reliability, Integrity Culture, and the interaction between scores on Reliability and Integrity Culture were entered as predictors. Only Age and Reliability scores were significant predictors of Cheating Intentions, while all variables were significant predictors for Likelihood of Reporting Cheating. Suggestions for practice and research are provided.


2008 ◽  
Vol 22 (2) ◽  
pp. 151-156 ◽  
Author(s):  
Lewis R. Goldberg ◽  
Kibeom Lee ◽  
Michael C. Ashton

The ‘erratum and addendum’ by Anderson and Ones (2008) does not state unambiguously that participants' Hogan Personality Inventory (HPI) scale scores were incorrectly matched with their scores on the other inventories' scales, nor does it mention the existence of other errors in the scoring of the Occupational Personality Questionnaire (OPQ) and Business Personality Indicator (BPI) scales. We demonstrate these errors and we recommend the retraction of the articles by Anderson and Ones (2003) and Ones and Anderson (2002). Copyright © 2007 John Wiley & Sons, Ltd.


Assessment ◽  
2006 ◽  
Vol 13 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Richard Sheppard ◽  
Kyunghee Han ◽  
Stephen M. Colarelli ◽  
Guangdong Dai ◽  
Daniel W. King

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