A multilevel framework for understanding relationships among traits, states, situations and behaviours

A conceptual and analytic framework for understanding relationships among traits, states, situations, and behaviours is presented. The framework assumes that such relationships can be understood in terms of four questions. (1) What are the relationships between trait and state level constructs, which include psychological states, the situations people experience and behaviour? (2) What are the relationships between psychological states, between states and situations and between states and behaviours? (3) How do such state level relationships vary as a function of trait level individual differences? (4) How do the relationships that are the focus of questions 1, 2, and 3 change across time? This article describes how to use multilevel random coefficient modelling (MRCM) to examine such relationships. The framework can accommodate different definitions of traits and dispositions (Allportian, processing styles, profiles, etc.) and different ways of conceptualising relationships between states and traits (aggregationist, interactionist, etc.). Copyright © 2007 John Wiley & Sons, Ltd.

[1]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[2]  N. Bolger,et al.  A framework for studying personality in the stress process. , 1995, Journal of personality and social psychology.

[3]  I. Mechelen,et al.  Editorial: Personality and Situations , 1999 .

[4]  Jürgen Baumert,et al.  Modeling longitudinal and multilevel data: Practical issues, applied approaches, and specific examples. , 2000 .

[5]  Walter Mischel,et al.  Toward an integrative science of the person. , 2004, Annual review of psychology.

[6]  S. Armeli,et al.  Multilevel daily process designs for consulting and clinical psychology: a preface for the perplexed. , 1999, Journal of consulting and clinical psychology.

[7]  W. Fleeson Toward a structure- and process-integrated view of personality: traits as density distribution of states. , 2001, Journal of personality and social psychology.

[8]  S. West,et al.  Statistical issues in the study of temporal data: daily experiences. , 1991, Journal of personality.

[9]  J. Nezlek Reactions to daily events as a function of familiarity with an environment , 2007 .

[10]  Shelly L. Gable,et al.  Journal of Personality and Social Psychology Behavioral Activation and Inhibition in Everyday Life , 2022 .

[11]  D. Funder Global Traits: A Neo-Allportian Approach to Personality , 1991 .

[12]  D. Magnusson,et al.  Personality at the crossroads : current issues in interactional psychology , 1977 .

[13]  D. R. Lehman,et al.  Self-Concept Clarity : Measurement , Personality Correlates , and Cultural Boundaries , 2001 .

[14]  Todd D. Little,et al.  A Two-Stage Approach to Multilevel Structural Equation Models: Application to Longitudinal Data , 2000 .

[15]  J. Block Recognizing the Coherence of Personality. , 1975 .

[16]  John B. Nezlek,et al.  PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN Nezlek, Gable / DAILY EVENTS AND DAILY ADJUSTMENT Depression as a Moderator of Relationships Between Positive Daily Events and Day-to-Day Psychological Adjustment , 2001 .

[17]  J. Nezlek,et al.  Day-to-Day Relationships among Self-Concept Clarity, Self-Esteem, Daily Events, and Mood , 2001 .

[18]  G. Verbeke,et al.  A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population , 1996 .

[19]  J. Nezlek,et al.  Social Identity in Daily Social Interaction , 2005 .

[20]  L. Wheeler,et al.  Self‐Recording of Everyday Life Events: Origins, Types, and Uses , 1991 .

[21]  Glenn Affleck,et al.  Daily processes in coping with chronic pain: Methods and analytic strategies. , 1996 .

[22]  Seymour Epstein,et al.  The stability of behavior: I. On predicting most of the people much of the time. , 1979 .

[23]  L. Kirkpatrick Effects of Multiple Determinacy and Measurement Error on Trait-Behavior and Behavior-Behavior Relations: An Integrated Conceptual Model , 1997 .

[24]  Judith D. Singer,et al.  Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models , 1998 .

[25]  J. Gill Hierarchical Linear Models , 2005 .

[26]  John R. Nesselroade,et al.  Beyond autoregressive models: some implications of the trait-state distinction for the structural modeling of developmental change. , 1987, Child development.

[27]  S. Srivastava,et al.  The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. , 1999 .

[28]  John B. Nezlek,et al.  Personality and Social Psychology Bulletin Nezlek / Multilevel Random Coefficient Analyses Multilevel Random Coefficient Analyses of Event-and Interval-contingent Data in Social and Personality Psychology Research , 2022 .

[29]  R. Steyer,et al.  States and traits in psychological assessment. , 1992 .

[30]  Jan de Leeuw,et al.  Introducing Multilevel Modeling , 1998 .

[31]  D. Funder,et al.  Profiting from controversy. Lessons from the person-situation debate. , 1988, The American psychologist.

[32]  Walter Mischel,et al.  Integrating dispositions and processing dynamics within a unified theory of personality: The cognitive–affective personality system. , 1999 .

[33]  J. Nezlek,et al.  Affect- and Self-Based Models of Relationships between Daily Events and Daily Well-Being , 2003, Personality & social psychology bulletin.

[34]  Jürgen Baumert,et al.  Modeling longitudinal and multilevel data , 2000 .

[35]  D. Magnusson Personality development from an interactional perspective. , 1990 .

[36]  C. Hertzog,et al.  Beyond autoregressive models: some implications of the trait-state distinction for the structural modeling of developmental change. , 1987, Child development.

[37]  A Zautra,et al.  The trait-state-error model for multiwave data. , 1995, Journal of consulting and clinical psychology.

[38]  D. A. Kenny,et al.  Data analysis in social psychology. , 1998 .

[39]  W. Mischel Personality and Assessment , 1996 .

[40]  John B. Nezlek,et al.  Using Multilevel Random Coefficient Modeling to Analyze Social Interaction Diary Data , 2003 .

[41]  J. Nezlek Day-to-day relationships between self-awareness, daily events, and anxiety. , 2002, Journal of personality.

[42]  Daniel Cervone,et al.  Personality architecture: within-person structures and processes. , 2005, Annual review of psychology.

[43]  Charles D. Spielberger,et al.  Anxiety as an Emotional State , 1972 .

[44]  R. Steyer,et al.  A latent state-trait model (not only) for social desirability. , 1993 .