Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses

Geiser, Christian; Keller, Brian T.; Lockhart, Ginger; Eid, Michael; Cole, David A.; Koch, Tobias

doi:10.3758/s13428-014-0457-z

Cited by 67 publications

(67 citation statements)

References 52 publications

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“…The finding of strong measurement invariance across time in conjunction with stable mean levels (i.e., no overall trait change) indicated that an LST analysis was appropriate for the present data (see Geiser et al, 2015). …”

Section: Resultsmentioning

confidence: 87%

Trait and state variance in oppositional defiant disorder symptoms: A multi-source investigation with Spanish children.

Preszler¹,

Burns²,

Litson³

et al. 2017

Psychological Assessment

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The objective was to determine and compare the trait and state components of oppositional defiant disorder (ODD) symptom reports across multiple informants. Mothers, fathers, primary teachers, and secondary teachers rated the occurrence of the ODD symptoms in 810 Spanish children (55% boys) on two occasions (end first and second grades). Single source latent state-trait (LST) analyses revealed that ODD symptom ratings from all four sources showed more trait (M = 63%) than state residual (M = 37%) variance. A multiple source LST analysis revealed substantial convergent validity of mothers’ and fathers’ trait variance components (M = 68%) and modest convergent validity of state residual variance components (M = 35%). In contrast, primary and secondary teachers showed low convergent validity relative to mothers for trait variance (Ms = 31%, 32%, respectively) and essentially zero convergent validity relative to mothers for state residual variance (Ms = 1%, 3%, respectively). Although ODD symptom ratings reflected slightly more trait- than state-like constructs within each of the four sources separately across occasions, strong convergent validity for the trait variance only occurred within settings (i.e., mothers with fathers; primary with secondary teachers) with the convergent validity of the trait and state residual variance components being low to non-existent across settings. These results suggest that ODD symptom reports are trait-like across time for individual sources with this trait variance, however, only having convergent validity within settings. Implications for assessment of ODD are discussed.

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Section: Resultsmentioning

confidence: 87%

Trait and state variance in oppositional defiant disorder symptoms: A multi-source investigation with Spanish children.

Preszler¹,

Burns²,

Litson³

et al. 2017

Psychological Assessment

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“…Third, we estimated GSGMs to model the function of mean-level change and, in addition, to separate the rather stable variance from the time-point-specific variance (Bishop et al, 2015). The GSGM is a combination of a latent-state-trait (LST) model and a latent growth curve (LGC) model (Geiser et al, 2015) and is diagrammed in Figure S1 in the SI Appendix A3.…”

Section: Statistical Analysesmentioning

confidence: 99%

Social Cognitive Constructs Are Just as Stable as the Big Five Between Grades 5 and 8

et al. 2017

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Personality traits and social cognitive variables are central constructs in psychological research. It is often assumed that personality traits are less changeable than social cognitive variables, and thus interventions usually tend to focus on the latter. However, these assumptions about the mutability of personality and social cognitive variables have never been tested side-by-side in a longitudinal study. Using a large longitudinal study with four time points and N = 3,876 students in 136 classes (99 schools), we compared the mutability of the Big Five personality traits and social cognitive constructs more often described as socioemotional skills or motivational variables (individual interest, self-concept, and academic effort in the school subjects math, English, and German). The results indicated that there are no marked differences between personality traits and social cognitive constructs across multiple indicators of stability or changeability.

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“…Measurement invariance (MI) plays an important role in longitudinal analysis (Meredith, 1993; Widaman and Reise, 1997; Geiser et al, 2014). According to Widaman and Reise (1997) four different degrees of MI can be distinguished: (1) configural MI, (2) weak MI, (3) strong MI, and (4) strict MI.…”

Section: Permissible Correlationsmentioning

confidence: 99%

A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods

et al. 2014

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One of the key interests in the social sciences is the investigation of change and stability of a given attribute. Although numerous models have been proposed in the past for analyzing longitudinal data including multilevel and/or latent variable modeling approaches, only few modeling approaches have been developed for studying the construct validity in longitudinal multitrait-multimethod (MTMM) measurement designs. The aim of the present study was to extend the spectrum of current longitudinal modeling approaches for MTMM analysis. Specifically, a new longitudinal multilevel CFA-MTMM model for measurement designs with structurally different and interchangeable methods (called Latent-State-Combination-Of-Methods model, LS-COM) is presented. Interchangeable methods are methods that are randomly sampled from a set of equivalent methods (e.g., multiple student ratings for teaching quality), whereas structurally different methods are methods that cannot be easily replaced by one another (e.g., teacher, self-ratings, principle ratings). Results of a simulation study indicate that the parameters and standard errors in the LS-COM model are well recovered even in conditions with only five observations per estimated model parameter. The advantages and limitations of the LS-COM model relative to other longitudinal MTMM modeling approaches are discussed.

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Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses

Cited by 67 publications

References 52 publications

Trait and state variance in oppositional defiant disorder symptoms: A multi-source investigation with Spanish children.

Trait and state variance in oppositional defiant disorder symptoms: A multi-source investigation with Spanish children.

Social Cognitive Constructs Are Just as Stable as the Big Five Between Grades 5 and 8

A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods

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