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Longitudinal dynamic analyses of cognition in the health and retirement study panel
In: Advances in statistical analysis: AStA, Band 95, Heft 4, S. 453-480
ISSN: 1863-818X
Latent Curve Analyses of Longitudinal Twin Data Using a Mixed-Effects Biometric Approach
In: Twin research and human genetics: the official journal of the International Society for Twin Studies (ISTS) and the Human Genetics Society of Australasia, Band 9, Heft 3, S. 343-359
ISSN: 1839-2628
Contemporary issues in exploratory data mining in the behavioral sciences
In: Quantitative methodology series
Latent Curve Models and Latent Change Score Models Estimated in R
In: Structural equation modeling: a multidisciplinary journal, Band 19, Heft 4, S. 651-682
ISSN: 1532-8007
A Simulation Study Comparison of Bayesian Estimation With Conventional Methods for Estimating Unknown Change Points
In: Structural equation modeling: a multidisciplinary journal, Band 15, Heft 1, S. 52-74
ISSN: 1532-8007
Latent Growth Curve Analyses of the Development of Height
In: Structural equation modeling: a multidisciplinary journal, Band 8, Heft 4, S. 531-555
ISSN: 1532-8007
An Examination of Statistical Power in Multigroup Dynamic Structural Equation Models
In: Structural equation modeling: a multidisciplinary journal, Band 19, Heft 3, S. 351-371
ISSN: 1532-8007
Structured latent growth curves for twin data
In: Twin research, Band 3, Heft 3, S. 165-177
ISSN: 2053-6003
Inferring Longitudinal Relationships Between Variables: Model Selection Between the Latent Change Score and Autoregressive Cross-Lagged Factor Models
In: Structural equation modeling: a multidisciplinary journal, Band 23, Heft 3, S. 331-342
ISSN: 1532-8007
Longitudinal Cognition-Survival Relations in Old and Very Old Age: 13-Year Data from the Berlin Aging Study
In: European psychologist, Band 11, Heft 3, S. 204-223
ISSN: 1878-531X
We use a statistical model that combines longitudinal and survival analyses to estimate the influence of level and change in cognition on age at death in old and very old individuals. Data are from the Berlin Aging Study, in which an initial sample of 516 elderly individuals with an age range of 70 to 103 years was assessed up to 11 times across a period of up to 13 years. Four cognitive ability domains were assessed by two variables each: perceptual speed (Digit Letter and Identical Pictures), episodic memory (Paired Associates and Memory for Text), fluency (Categories and Word Beginnings), and verbal knowledge (Vocabulary and Spot-a-Word). Longitudinal models on cognition controlled for dementia diagnosis and retest effects, while survival models on age at death controlled for age, sex, socioeconomic status, sensory and motor performance, and broad personality characteristics. Results indicate: (1) Individual differences in the level of and in the linear change in performance are present for all cognitive variables; (2) when analyzed independently of cognitive performance, all covariates, except broad personality factors, predict survival; (3) when cognitive performance is accounted for, age, sex, and motor performance do predict survival, while socioeconomic status and broad personality factors do not, and sensory performance does only at times; (4) when cognitive variables are analyzed independently of each other, both level and change in speed and fluency, as well as level in memory and knowledge predict survival; (5) when all cognitive variables are analyzed simultaneously using a two-stage procedure, none of them is significantly associated to survival. In agreement with others, our findings suggest that survival is related to cognitive development in old and very old age in a relatively global, rather than ability-specific, manner.
Longitudinal Cognition-Survival Relations in Old and Very Old Age: 13-Year Data from the Berlin Aging Study
In: European psychologist: official organ of the European Federation of Psychologists' Associations (EFPA), Band 11, Heft 3
ISSN: 1016-9040
Modeling Latent Growth Curves With Incomplete Data Using Different Types of Structural Equation Modeling and Multilevel Software
In: Structural equation modeling: a multidisciplinary journal, Band 11, Heft 3, S. 452-483
ISSN: 1532-8007
A Comparison of Methods for Uncovering Sample Heterogeneity: Structural Equation Model Trees and Finite Mixture Models
In: Structural equation modeling: a multidisciplinary journal, Band 24, Heft 2, S. 270-282
ISSN: 1532-8007
Estimation of Time-Unstructured Nonlinear Mixed-Effects Mixture Models
In: Structural equation modeling: a multidisciplinary journal, Band 23, Heft 6, S. 856-869
ISSN: 1532-8007