The openness-fluid-crystallized-intelligence (OFCI) model and the environmental enrichment hypothesis

Abstract The Openness-Fluid-Crystallized-Intelligence (OFCI) model describes how these different constructs interact over time. One fundamental element in the model is the Environmental Enrichment Hypothesis, which states that more Openness leads to more learning opportunities, thereby fostering fluid intelligence (Gf). Indirectly, this positive influence also has a positive effect on crystallized intelligence (Gc). Despite empirical evidence supporting the model as a whole, little is known with regard to the actual mechanisms underlying environmental enrichment. PIAAC (Programme for the International Assessment of Adult Competencies) data (N = 5465) were used to explore possible behavioral differences that lead to enriched environments for more open people. To this end, we utilized different indicators of reading and calculating behavior. The indicator of Openness used was indeed found to be associated with differences in reading and calculating activities at work and during leisure time. These relations were also shown to be related to the indicator of Gf and indirectly to the indicator of Gc. Theoretical implications and limitations of the study are discussed.

[1]  O. Wilhelm,et al.  Modality Specificity of Comprehension Abilities in the Sciences , 2013 .

[2]  R. Curtis,et al.  The relationship between Big-5 personality traits and cognitive ability in older adults – a review , 2015, Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition.

[3]  P. Mussel Intellect: a theoretical framework for personality traits related to intellectual achievements. , 2013, Journal of personality and social psychology.

[4]  J. Gustafsson,et al.  Beyond dichotomies: Competence viewed as a continuum , 2015 .

[5]  Reinhold Nickolaus,et al.  Was grenzt das Kompetenzkonzept von etablierten Kategorien wie Fähigkeit, Fertigkeit oder Intelligenz ab? , 2013 .

[6]  Jing Zhang,et al.  How do the big five influence scholastic performance? A big five-narrow traits model or a double mediation model , 2016 .

[7]  M. Brannick,et al.  How similar are personality scales of the “same” construct? A meta-analytic investigation , 2010 .

[8]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[9]  C. Flores-Mendoza,et al.  Reciprocal effects between fluid and crystallized intelligence and their dependence on parents' socioeconomic status and education , 2010 .

[10]  Moana Monnier Difficulties in Defining Social-Emotional Intelligence, Competences and Skills - a Theoretical Analysis and Structural Suggestion , 2015 .

[11]  Eckhard Klieme,et al.  Current Issues in Competence Modeling and Assessment , 2008 .

[12]  G. Kaiser,et al.  Von der Lehrerausbildung in den Beruf – Fachbezogenes Wissen als Voraussetzung für Wahrnehmung, Interpretation und Handeln im Unterricht , 2014 .

[13]  Markus Bühner,et al.  Working memory, visual–spatial-intelligence and their relationship to problem-solving , 2008 .

[14]  H.L.J. van der Maas,et al.  A dynamical model of general intelligence: the positive manifold of intelligence by mutualism. , 2006, Psychological review.

[15]  R. Cattell Intelligence : its structure, growth and action , 1987 .

[16]  S. Mednick,et al.  Stimulation seeking and intelligence: a prospective longitudinal study. , 2002, Journal of personality and social psychology.

[17]  Heinz-Martin Süß,et al.  Interindividuelle Unterschiede im typischen intellektuellen Engagement , 2003 .

[18]  M. Ziegler,et al.  The Enriching Interplay between Openness and Interest: A Theoretical Elaboration of the OFCI Model and a First Empirical Test , 2018, Journal of Intelligence.

[19]  John L. Holland,et al.  Exploring careers with a typology: What we have learned and some new directions. , 1996 .

[20]  G. Kraaykamp,et al.  Personality, media preferences, and cultural participation , 2005 .

[21]  K. McGrew CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research , 2009 .

[22]  L. R. Goldberg A broad-bandwidth, public domain, personality inventory measuring the lower-level facets of several five-factor models , 1999 .

[23]  Ulrich Schroeders,et al.  On the nature of crystallized intelligence: the relationship between verbal ability and factual knowledge☆ , 2014 .

[24]  A. Beauducel,et al.  NEO-Persönlichkeitsinventar nach Costa und McCrae, revidierte Fassung (NEO-PI-R) , 2008 .

[25]  P. Costa,et al.  Personality and vocational interests in an adult sample , 1984 .

[26]  Peter B. Jones,et al.  Mutualistic Coupling Between Vocabulary and Reasoning Supports Cognitive Development During Late Adolescence and Early Adulthood , 2017, Psychological science.

[27]  R. MacCallum,et al.  Power analysis and determination of sample size for covariance structure modeling. , 1996 .

[28]  P. Ackerman A theory of adult intellectual development: Process, personality, interests, and knowledge , 1996 .

[29]  Myrna Manly,et al.  PIAAC Numeracy: A Conceptual Framework. OECD Education Working Papers, No. 35. , 2009 .

[30]  Moritz Heene,et al.  Openness, fluid intelligence, and crystallized intelligence: Toward an integrative model , 2012 .

[31]  H. Wahl,et al.  The Interplay Between Personality and Cognitive Ability Across 12 Years in Middle and Late Adulthood: Evidence for Reciprocal Associations , 2017, Psychology and aging.

[32]  M. Ziegler,et al.  Openness as a buffer against cognitive decline: The Openness-Fluid-Crystallized-Intelligence (OFCI) model applied to late adulthood. , 2015, Psychology and aging.

[33]  J. Schupp,et al.  Short assessment of the Big Five: robust across survey methods except telephone interviewing , 2011, Behavior research methods.

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

[35]  Martin Brunner,et al.  Analyzing the Reliability of Multidimensional Measures: An Example from Intelligence Research , 2005 .

[36]  Beatrice Rammstedt,et al.  Piaac Germany 2012: Technical Report , 2014 .

[37]  A. Graesser,et al.  Domain-general problem solving skills and education in the 21st century , 2014 .

[38]  Moritz Heene,et al.  Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices. , 2011, Psychological methods.

[39]  P. Ackerman,et al.  Typical intellectual engagement as a byproduct of openness, learning approaches, and self‐assessed intelligence , 2009 .

[40]  Kees-Jan Kan,et al.  Network Models for Cognitive Development and Intelligence , 2017, Journal of Intelligence.

[41]  Jordan B. Peterson,et al.  From madness to genius: The Openness/Intellect trait domain as a paradoxical simplex , 2012 .

[42]  Boris Egloff,et al.  Stability and change of personality across the life course: the impact of age and major life events on mean-level and rank-order stability of the Big Five. , 2011, Journal of personality and social psychology.