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First published online April 1, 2009

The New Person-Specific Paradigm in Psychology

Abstract

Most research methodology in the behavioral sciences employs interindividual analyses, which provide information about the state of affairs of the population. However, as shown by classical mathematical-statistical theorems (the ergodic theorems), such analyses do not provide information for, and cannot be applied at, the level of the individual, except on rare occasions when the processes of interest meet certain stringent conditions. When psychological processes violate these conditions, the interindividual analyses that are now standardly applied have to be replaced by analysis of intraindividual variation in order to obtain valid results. Two illustrations involving analysis of intraindividual variation of personality and emotional processes are given.

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Recommended Reading

Borsboom D. (2005). Measuring the mind: Conceptual issues in contemporary psychometrics. Cambridge, UK: Cambridge University Press. Addresses the issue of non-ergodicity in the context of psychometrics.
Hamaker E.J., Dolan C.V., Molenaar P.C.M. (2005). (See References). A thorough, far-reaching theoretical analysis of intraindividual variation.
Molenaar P.C.M. (2004). (See References). The earliest paper addressing the issue of non-ergodicity.
Molenaar P.C.M. (2008). Consequences of the ergodic theorems for classical test theory, factor analysis, and the analysis of developmental processes. In Hofer S.M., Alwin D.F. (Eds.), Handbook of cognitive aging (pp. 90–104). Thousand Oaks, CA: Sage. A highly accessible, comprehensive overview of the issues of non-ergodicity and analysis of intraindividual variation.
Nesselroade J.R., Gerstorf D., Hardy S.A., Ram N. (2007). Idiographic filters for psychological constructs. Measurement, 5, 217–235. Provides a more detailed discussion of non-ergodicity and analysis of intraindividual variation.

REFERENCES

Borkenau P., Ostendorf F. (1998). The Big Five as states: How useful is the five-factor model to describe intra-individual variations over time? Journal of Personality Research, 32, 202–221.
Cattell R.B. (1952). The three basic factor-analytic designs: Their interrelations and derivatives. Psychological Bulletin, 49, 499–520.
Hamaker E.J., Dolan C.V., Molenaar P.C.M. (2005). Statistical modeling of the individual: Rationale and application of multivariate stationary time series analysis. Multivariate Behavioral Research, 40, 207–233.
Molenaar P.C.M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement, 2, 201–218.
Molenaar P.C.M., Huizenga H.M., Nesselroade J.R. (2003). The relationship between the structure of interindividual and intraindividual variability: A theoretical and empirical vindication of Developmental Systems Theory. InStaudinger U.M., Lindenberger U. (Eds.), Understanding human development: Dialogues with life-span psychology (pp. 339–360). Dordrecht, the Netherlands: Kluwer.
Molenaar P.C.M., Sinclair K.O., Rovine M.J., Ram N., Corneal S.E. (2009). Analyzing developmental processes on a individual level using non-stationary time series modeling. Developmental Psychology, 45, 260–271.
Ram N., Nesselroade J.R. (2007). Modeling intraindividual and intracontextual change: Operationalizing developmental contextualism. InLittle T.D., Bovaird J.A., Card N.A. (Eds.), Modeling contextual effects in longitudinal studies (pp. 325–342). Mahwah, NJ: Erlbaum.
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Published In

Article first published online: April 1, 2009
Issue published: April 2009

Keywords

  1. interindividual variation
  2. intraindividual variation
  3. ergodic conditions
  4. R-technique
  5. P-technique
  6. Big Five Personality Factors
  7. emotional experiences

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© 2009 Association for Psychological Science.
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Authors

Affiliations

Peter C.M. Molenaar
1The Pennsylvania State University
Cynthia G. Campbell
1The Pennsylvania State University

Notes

Peter Molenaar, Department of Human Development & Family Studies, The Pennsylvania State University, Henderson 113, University Park, PA 16802; e-mail: [email protected].

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