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Examining Relationships Between Demographics, Psychometric Scores, and Organization Level

Jodie Chen, Angelo Desiderio, Elena Flauto, Chloe Kim, Ruoyu (Cecilia) Liu, Allison Wang, Richard Xu

STATISTICS 141XP

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AGENDA

INTRODUCTION

OUR APPROACH

RESULTS

CONCLUSIONS

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Introduction

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How do personality assessment respondents’ psychometric scores, gender, and country of residence impact their job level in the organization at which they work?

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  • Adjustment
  • Ambition
  • Sociability
  • Interpersonal Sensitivity
  • Prudence
  • Inquisitive
  • Learning Approach
  • Excitable
  • Skeptical
  • Cautious
  • Reserved
  • Leisurely
  • Bold
  • Mischievous
  • Colorful
  • Imaginative
  • Diligent
  • Dutiful
  • Recognition
  • Power
  • Hedonism
  • Altruistic
  • Affiliation
  • Tradition
  • Security
  • Commerce
  • Aesthetics
  • Science

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Our Approach

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Predictors

Response

Predictors:

  • Psychometrics: Adjustment, Ambition, Sociability, Interpersonal Sensitivity, Prudence, Inquisitive, Learning Approach, Excitable, Skeptical, Cautious, Reserved, Leisurely, Bold, Mischievous, Colorful, Imaginative, Diligent, Dutiful, Recognition, Power, Hedonism, Altruistic, Affiliation, Tradition, Security, Commerce, Aesthetic, & Science.
  • Country and Gender as fixed effects

Response: Current Level in Organization (lower is better)

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Missing

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Variables of Interest

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Results

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Key Scores Positively Associated with Upward Mobility

Imaginative

Mischievous

Aesthetic

Psychometric

Score

Effects

Key Scores Negatively

Associated with

Upward Mobility

Sociability

Science

Hedonism

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Psychometric Score

Effects

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Trait/Value

Qualities of Low Scorers

Qualities of High Scorers

Imaginative

Practical

Rely on routine

Often lack new ideas

Innovative, visionary

Creative

Over sensitive

Mischievous

Conservative

Compliant

Unadventurous

Risk-seeking

Impulsive

Not sticking to commitments

Aesthetics

Value substance over style

Care about functionality

Interested in creative self-expression

Concerned about the look and feel of work products

Sociability

Reserved, quiet, prefer working alone

Outgoing, colorful, impulsive, dislike working alone

Science

Make quick decisions based on experience

Trust intuition over data

Prefer rational, data-based decisions

Challenge authority

Hedonism

Be serious and businesslike

Always be working

Seek pleasure and fun

Want to enjoy work

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Factors that may positively contribute to upward mobility

Factors that may negatively contribute to upward mobility

  • Stronger labor markets with high demand for leaders
  • Emphasis on merit-based promotion
  • Fewer hierarchical barriers
  • Prioritized access to education and professional development
  • Emphasis on seniority (or other factors) over performance
  • Varying work-life balance
  • Labor protection laws

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Country Effects

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Gender and Interaction Effects

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Conclusions

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Conclusions

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Psychometric characteristic scores significantly influenced odds of upward mobility within organizations.

  • Increased: valuing Aesthetic, Tradition, and Power; and being Diligent, Mischievous, and Imaginative
  • Decreased: valuing Hedonism, Science, and Recognition; having Interpersonal Sensitivity and Sociability; and being Leisurely, Cautious, Bold, and Inquisitive

Country of residence in reference to the United States played a significant role.

  • Increased: Finland, Norway, and New Zealand
  • Decreased: China, India, and the UAE

Males had significantly increased odds of being in a higher level position overall, but especially in India, Ireland, Mexico, and the UAE in reference to a US Female.

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References

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Hogan Assessments Brochure. Hogan Assessments, https://www.hoganassessments.com/sites/default/files/uploads/Assessment%20Brochure-min.pdf. Accessed 12 Mar. 2025.

Hogan Development Survey. Hogan Assessments, https://www.hoganassessments.com/assessment/hogan-development-survey/. Accessed 12 Mar. 2025.

Hogan Insight MVPI Report Sample. Performance Programs, https://performanceprograms.com/wp-content/uploads/2020/01/Hogan-Insight-MVPI-Report-Sample.pdf. Accessed 12 Mar. 2025.

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Thank You!

STATISTICS 141XP