Elaborating the Differential in Differential Psychology

The methods of differential psychology have contributed importantly to the current state of behavioral science, but their limitations continue to be well - publicized in the "experimental versus correlational" literature. The argument developed here is that the value of these methods has been constrained as much by the phenomena to which they are applied as by underlying flaws that render them inferior to classical experimental methods. Some applications of differential methods to alternative phenomena are examined that promise to broaden significantly the contribution that differential methods can make to our understanding of behavior and behavior change.

[1]  R. Hoyle,et al.  Pooling Lagged Covariance Structures Based on Short, Multivariate Time Series for Dynamic Factor Analysis , 1999 .

[2]  D. Featherman,et al.  Establishing a reference frame against which to chart age-related changes. , 1997 .

[3]  J R Nesselroade,et al.  "SOMETIMES, IT'S OKAY TO FACTOR DIFFERENCE SCORES"-THE SEPARATION OF STATE AND TRAIT ANXIETY. , 1974, Multivariate behavioral research.

[4]  S. Boker,et al.  Assessing constancy and change. , 1994 .

[5]  R. Cattell.  Guest Editorial: Multivariate Behavioral Research and the Integrative Challenge , 1966 .

[6]  P. Baltes,et al.  Psychological perspectives on successful aging: The model of selective optimization with compensation. , 1990 .

[7]  R. Engle,et al.  A One-Factor Multivariate Time Series Model of Metropolitan Wage Rates , 1981 .

[8]  C. R. Rao,et al.  Some statistical methods for comparison of growth curves. , 1958 .

[9]  H. Gulliksen.  Theory of mental tests , 1952 .

[10]  T. Kuhn,et al.  The Structure of Scientific Revolutions. , 1964 .

[11]  John R. Nesselroade,et al.  History and rationale of longitudinal research , 1979 .

[12]  L. Cronbach.  Beyond the Two Disciplines of Scientific Psychology. , 1975 .

[13]  Steven M Boker,et al.  A Method for Modeling the Intrinsic Dynamics of Intraindividual Variability: Recovering the Parameters of Simulated Oscillators in Multi-Wave Panel Data , 2002, Multivariate behavioral research.

[14]  L. Cronbach.  The two disciplines of scientific psychology. , 1957 .

[15]  S. Boker,et al.  A Dynamical Systems Analysis of Adolescent Substance Abuse. , 1998, Multivariate behavioral research.

[16]  Gerhard Arminger,et al.  Linear Stochastic Differential Equation Models for Panel Data with Unobserved Variables , 1986 .

[17]  J. Horn,et al.  Isolating Change And Invariance In Patterns Of Behavior. , 1966, Multivariate Behavioral Research.

[18]  J. Horn,et al.  STATE, TRAIT AND CHANGE DIMENSIONS OF INTELLIGENCE , 1972 .

[19]  B Krause,et al.  On problems in measuring change. , 1982, Zeitschrift fur Psychologie mit Zeitschrift fur angewandte Psychologie.

[20]  Robin R. Vallacher,et al.  Dynamical Systems in Social Psychology , 1994 .

[21]  Peter C. M. Molenaar,et al.  A dynamic factor model for the analysis of multivariate time series , 1985 .

[22]  B. Baltes,et al.  Using Life-Span Models in Industrial-Organizational Psychology: The Theory of Selective Optimization With Compensation , 2001 .

[23]  Ledyard R Tucker,et al.  Determination of parameters of a functional relation by factor analysis , 1958 .

[24]  William Meredith,et al.  Latent curve analysis , 1990 .

[25]  J. Mcardle,et al.  Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data. , 2001 .

[26]  P. Baltes,et al.  Life-span Developmental Psychology: Introduction To Research Methods , 1977 .

[27]  A. Wessman,et al.  Mood and personality. , 1967 .

[28]  J J McArdle,et al.  Latent growth curves within developmental structural equation models. , 1987, Child development.

[29]  R. Cattell,et al.  P-technique demonstrated in determining psychophysiological source traits in a normal individual , 1947, Psychometrika.

[30]  John R. Nesselroade,et al.  Beyond static concepts in modeling behavior , 2000 .

[31]  R. Cattell.  THE INTERACTION OF HEREDITARY AND ENVIRONMENTAL INFLUENCES1 , 1963 .

[32]  John Geweke,et al.  Maximum Likelihood "Confirmatory" Factor Analysis of Economic Time Series , 1981 .

[33]  B. West.  An Essay on the Importance of Being Nonlinear , 1985 .

[34]  K. Newell,et al.  Time scales in motor learning and development. , 2001, Psychological review.

[35]  M. Hannan,et al.  Social Dynamics: Models and Methods. , 1986 .

[36]  D W FISKE,et al.  Intra-individual response variability. , 1955, Psychological bulletin.