A Case of Mistaken Identity? Latent Profiles in Vocational Interests

Vocational interest surveys have traditionally employed a typology (i.e., the Realistic, Investigative, Artistic, Social, Enterprising, and Conventional [RIASEC] model) to distinguish individuals. Within this framework, respondents are identified as representing various types of people based on their interests in work-related activities. However, much of the existing literature on vocational interest testing has focused almost exclusively on traditional variable-centered approaches to understanding the nomological network around vocational interest variables. Therefore, the focus of the current article is an application of a person-centered approach, latent profile analysis (LPA). Using LPA, we found evidence of eight qualitatively and quantitatively distinct subgroups or types of individuals differentiated on the basis of interests in the RIASEC variables. Further, across the five-factor model and Dark Triad personality variables, minor, yet theoretically sound, differences across the eight vocational interest subgroups were found. Theoretical and practical implications are discussed.

[1]  Arnold R. Spokane A review of research on person-environment congruence in Holland's theory of careers , 1985 .

[2]  J. L. Holland,et al.  Making vocational choices : a theory of vocational personalities and work environments , 1984 .

[3]  Daniel J Bauer,et al.  The integration of continuous and discrete latent variable models: potential problems and promising opportunities. , 2004, Psychological methods.

[4]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[5]  B. Everitt,et al.  Cluster Analysis: Low Temperatures and Voting in Congress , 2001 .

[6]  D N Jackson,et al.  What is beyond the big five? Plenty! , 2000, Journal of personality.

[7]  P. Deb Finite Mixture Models , 2008 .

[8]  G. McClelland,et al.  Negative Consequences of Dichotomizing Continuous Predictor Variables , 2003 .

[9]  J. Schermer,et al.  The Jackson Career Explorer in Relation to the Career Directions Inventory , 2011 .

[10]  Paul Babiak,et al.  Snakes in Suits: When Psychopaths Go to Work , 2015 .

[11]  F. Drasgow,et al.  Fitting measurement models to vocational interest data: are dominance models ideal? , 2009, The Journal of applied psychology.

[12]  N. Fouad,et al.  Work and vocational psychology: theory, research, and applications. , 2007, Annual review of psychology.

[13]  Lisa M. Larson,et al.  Meta-analyses of Big Six Interests and Big Five Personality Factors , 2002 .

[14]  P. Hanges,et al.  Latent Class Procedures: Applications to Organizational Research , 2011 .

[15]  John A. Johnson,et al.  The international personality item pool and the future of public-domain personality measures ☆ , 2006 .

[16]  Jacob Cohen The Cost of Dichotomization , 1983 .

[17]  W. Johnson,et al.  Linking Abilities, Interests, and Sex via Latent Class Analysis , 2009 .

[18]  D. M. Tokar,et al.  The HEXACO and Five-Factor Models of Personality in Relation to RIASEC Vocational Interests. , 2012 .

[19]  Dale J. Prediger Dimensions Underlying Holland's Hexagon: Missing Link between Interests and Occupations?. , 1982 .

[20]  Dena A. Pastor,et al.  A latent profile analysis of college students’ achievement goal orientation , 2007 .

[21]  S. E. Woo A study of Ghiselli's hobo syndrome☆ , 2011 .

[22]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[23]  Murray R. Barrick,et al.  META‐ANALYSIS OF THE RELATIONSHIP BETWEEN THE FIVE‐FACTOR MODEL OF PERSONALITY AND HOLLAND'S OCCUPATIONAL TYPES , 2003 .

[24]  Alexandre J. S. Morin,et al.  A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis , 2011 .

[25]  Margaret M. Nauta The development, evolution, and status of Holland's theory of vocational personalities: Reflections and future directions for counseling psychology. , 2010, Journal of counseling psychology.

[26]  Ulrich Trautwein,et al.  Please Scroll down for Article Structural Equation Modeling: a Multidisciplinary Journal Classical Latent Profile Analysis of Academic Self-concept Dimensions: Synergy of Person-and Variable-centered Approaches to Theoretical Models of Self-concept , 2022 .

[27]  Gary D. Gottfredson,et al.  John L. Holland's Contributions to Vocational Psychology: A Review and Evaluation☆☆☆ , 1999 .

[28]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[29]  B. Muthén,et al.  Investigating population heterogeneity with factor mixture models. , 2005, Psychological methods.

[30]  Filip De Fruyt,et al.  Vocational interests and Big Five traits as predictors of job instability , 2010 .

[31]  Murray R. Barrick,et al.  HIGHER‐ORDER DIMENSIONS OF THE BIG FIVE PERSONALITY TRAITS AND THE BIG SIX VOCATIONAL INTEREST TYPES , 2005 .

[32]  P. Vernon,et al.  A behavior genetic analysis of vocational interests using a modified version of the Jackson Vocational Interest Survey , 2008 .

[33]  D. Paulhus,et al.  The Dark Triad of personality: Narcissism, Machiavellianism, and psychopathy , 2002 .

[34]  Daniel A. Newman,et al.  Narcissism and Leadership: A Meta-Analytic Review of Linear and Nonlinear Relationships , 2015 .

[35]  David Kaplan,et al.  The Sage handbook of quantitative methodology for the social sciences , 2004 .

[36]  P. Armstrong,et al.  Personality facets and RIASEC interests: An integrated model , 2009 .

[37]  D. G. Zytowski,et al.  Thirty-Year Stability and Predictive Validity of Vocational Interests , 2007 .

[38]  R. Lippa Gender Differences in Personality and Interests: When, Where, and Why? , 2010 .

[39]  J. Rounds,et al.  Holland's RIASEC Model as an Integrative Framework for Individual Differences , 2008 .

[40]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[41]  J. Vermunt Latent Class Models , 2004 .

[42]  R. Strahan,et al.  Dealing with ties in Holland-type consistency measures , 1992 .

[43]  T. Asparouhov,et al.  Using Bayesian Priors for More Flexible Latent Class Analysis , 2011 .

[44]  Manfred F. R. Kets de Vries,et al.  The Anatomy of the Entrepreneur: Clinical Observations , 1996 .

[45]  Daniel J Bauer,et al.  Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. , 2003, Psychological methods.

[46]  Dan J. Putka,et al.  Reconsidering vocational interests for personnel selection: the validity of an interest-based selection test in relation to job knowledge, job performance, and continuance intentions. , 2011, The Journal of applied psychology.

[47]  Patrick Ian Armstrong,et al.  Men and things, women and people: a meta-analysis of sex differences in interests. , 2009, Psychological bulletin.

[48]  J. Rounds Vocational interests: Evaluating structural hypotheses. , 1995 .

[49]  Joyce Hogan,et al.  Assessing Leadership: A View from the Dark Side , 2001 .

[50]  B. Muthén,et al.  Auxiliary Variables in Mixture Modeling : 3-Step Approaches Using Mplus , 2012 .

[51]  Brian J. Taber Time Perspective and Career Decision-Making Difficulties in Adults , 2013 .

[52]  R. Hare,et al.  A dark side of leadership: Corporate psychopathy and its influence on employee well-being and job satisfaction , 2014 .

[53]  L. Tay,et al.  People--things and data--ideas: bipolar dimensions? , 2011, Journal of counseling psychology.

[54]  Michael A. McDaniel,et al.  A meta-analysis of the Dark Triad and work behavior: a social exchange perspective. , 2012, The Journal of applied psychology.

[55]  B. Muthén,et al.  Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .

[56]  W. Keith Campbell,et al.  The narcissistic self: Background, an extended agency model, and ongoing controversies. , 2007 .

[57]  L. R. Goldberg,et al.  What is beyond the big five? , 1998, Journal of personality.

[58]  Kristopher J Preacher,et al.  On the practice of dichotomization of quantitative variables. , 2002, Psychological methods.

[59]  J. L. Holland,et al.  A theory of vocational choice. , 1959 .

[60]  Robert Hogan,et al.  What we know about Leadership , 2005 .

[61]  John P. Meyer,et al.  Employee commitment in context: The nature and implication of commitment profiles , 2012 .