2007
DOI: 10.1080/15366360701741807
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Focus Article: Idiographic Filters for Psychological Constructs

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Cited by 127 publications
(165 citation statements)
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“…Nesselroade (2007) and his colleagues (Nesselroade, Gerstorf, Hardy, & Ram, 2007) have recently formalized a method for the idiographic measurement of constructs among which the relations are invariant across individuals. In short, using multiple observations per person (time series or P-technique data), they demonstrated how affective states that fluctuate around fixed points in the short term can be manifest in different ways (i.e., by different factor loadings patterns) for different individuals but that the patterns of interrelations among these states (the latent variable intercorrelations) remain invariant across individuals.…”
Section: Conceptual Approachmentioning
confidence: 99%
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“…Nesselroade (2007) and his colleagues (Nesselroade, Gerstorf, Hardy, & Ram, 2007) have recently formalized a method for the idiographic measurement of constructs among which the relations are invariant across individuals. In short, using multiple observations per person (time series or P-technique data), they demonstrated how affective states that fluctuate around fixed points in the short term can be manifest in different ways (i.e., by different factor loadings patterns) for different individuals but that the patterns of interrelations among these states (the latent variable intercorrelations) remain invariant across individuals.…”
Section: Conceptual Approachmentioning
confidence: 99%
“…Because the factor loadings, which only indicate relative factor representation, are free to differ across groups, we can be sure that we are examining a broad range of the ability space, as it might be idiosyncratically manifest for each given age group (cf. Nesselroade, 1970;Nesselroade et al, 2007). We further constrained the sum of the indicators' intercepts to 0, such that the latent mean retains the observed metric of the indicators and that it is optimally weighted by the factor loadings.…”
Section: Analytical Approachmentioning
confidence: 99%
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“…Because the phenotypic data of only a single DZ twin pair are analyzed, the homogeneity assumption across twin pairs also does not apply. The iFACE model combines the idiographic filter (IF) introduced in Nesselroade et al (2007), and the ACE model that includes additive, common, and specific environmental (latent) factors. The identity/interpretation of factors in the IF is not based on the pattern of factor loadings (as is the general approach in factor analysis), but instead is based on the pattern of intercorrelations among factors.…”
Section: The Modelmentioning
confidence: 99%
“…Nesselroade et al (2007) recently introduced the concept of idiographic filter (IF) in measurement, which allows person-specific factor loadings and residual variances, while defining measurement equivalence at the factor level by constraining their intercorrelations to be invariant across individuals. A hybridized model was later proposed that combines the IF and biometric model together, acronized as iFACE model, to model person-specific genetic and environmental influences on intra-individual variability within twin pairs (Molenaar 2010a(Molenaar , 2014Molenaar et al 2012;Nesselroade and Molenaar 2010).…”
Section: Introductionmentioning
confidence: 99%