Publications by authors named "Kevin A Hoff"

Article Synopsis
  • Measuring person-occupation fit is crucial for helping individuals, especially young people and jobseekers, find suitable majors and jobs, but current tools often focus on single areas, ignoring how fit varies across different domains.
  • This research introduces an integrative set of assessments that evaluate 88 fit dimensions across five domains related to occupational success, enhancing the accuracy of career predictions.
  • The findings emphasize that integrating multiple fit dimensions leads to better outcomes in career choice and success, while highlighting that certain measures, like interests and knowledge, are more impactful than others, underscoring the need for further research and practical use of these assessments.
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Life goals play a major role in shaping people's lives and careers. Although life goals have prior documented associations with occupational and other life outcomes, no prior studies have investigated associations between life goal and occupational outcomes. Using two representative samples of Icelandic youth (Sample 1: = 485, Sample 2: = 1,339), followed across 12 years from adolescence to young adulthood, we examined life goal development and associations with educational attainment and a wide range of occupational outcomes.

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Objective: Investigate short-term personality development during the post-graduation transition.

Background: Prior research indicates that long-term personality development matters for employment outcomes. However, this evidence is primarily limited to multi-year longitudinal studies.

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Objective: Personality changes are related to successfully performing adult occupational roles which require teamwork, duty, and managing stress. However, it is unclear how personality development relates to specific job characteristics that vary across occupations.

Method: We investigated whether 151 objective job characteristics, derived from the Occupational Information Network (O*NET), were associated with personality levels and changes in a 12-year longitudinal sample followed over the school to work transition.

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Cognitive abilities and interests both play an important role in guiding knowledge acquisition, but most previous studies have examined them separately. The current study used a large and representative dataset to integrate interests and abilities using a person-centered approach that examines how distinct profiles of interests and abilities relate to individual strengths and weaknesses in knowledge. Two key findings emerged.

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In this research, we examined whether personality changes from adolescence to young adulthood predicted five early career outcomes: degree attainment, income, occupational prestige, career satisfaction, and job satisfaction. The study used two representative samples of Icelandic youth (Sample 1: = 485, Sample 2: = 1,290) and measured personality traits over 12 years (ages ~17 to 29 years). Results revealed that certain patterns of personality growth predicted career outcomes over and above adolescent trait levels and crystallized ability.

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Personality traits and vocational interests capture different aspects of human individuality that intersect in certain ways. In this longitudinal study, we examined developmental relations between the Big 5 traits and RIASEC vocational interests over 4 timepoints from late adolescence to young adulthood (age 16-24) in a sample of Icelandic youth (N = 485) well-representative of the total student population. Results showed that interests and personality traits were similarly stable over time, but showed different patterns of mean-level change.

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Vocational interests predict a variety of important outcomes and are among the most widely applied individual difference constructs in psychology and education. Despite over 90 years of research, little is known about the longitudinal development of interests. In this meta-analysis, the authors investigate normative changes in interests through adolescence and young adulthood.

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Objective: We systematically review recent empirical research on factors that influence trust in automation to present a three-layered trust model that synthesizes existing knowledge.

Background: Much of the existing research on factors that guide human-automation interaction is centered around trust, a variable that often determines the willingness of human operators to rely on automation. Studies have utilized a variety of different automated systems in diverse experimental paradigms to identify factors that impact operators' trust.

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