Dodonova Y.A., Dodonov Y.S. On choosing a model for estimating individual differences in latent growth trajectories [Full text]

Full text in Russian: Додонова Ю.А., Додонов Ю.С. К вопросу о выборе модели при оценивании индивидуальных различий в траекториях латентного роста
Moscow State University of Psychology and Education, Moscow, Russia
Peoples’ Friendship University of Russia, Moscow, Russia

About authors
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Studies on the speed at which tasks of varying difficulties are processed frequently meet methodological obstacles, such as the difficulty to achieve reliable individual differences in parameters that describe response time growth with increasing task difficulty and the lack of stable correlations between growth parameters and external variables. In this computer simulation study, we demonstrate that instability and the systematic underestimation of correlations between growth parameters and external variables can be due to the choice of an inappropriate model to describe individual growth trajectories. Furthermore, the failure to choose a sufficiently flexible function for modeling can prevent the identification of individual differences in a shape of growth. Although we discuss our results and conclusions within the context of processing speed research, they are true for any studies that involve the modeling of latent change curves.

Keywords: latent growth modeling, computer simulation study, individual differences, speed of information processing, cognitive ability


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Received 24 September 2012. Date of publication: 22 February 2013.
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About authors

Dodonova Yulia A. Ph.D., Research Associate, Moscow State University of Psychology and Education, Sretenka str., 29, 103051, Moscow, Russia; Peoples’ Friendship University of Russia, Miklukho-Maklaya, 6, 117198 Moscow, Russia.
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Dodonov Yury S. Ph.D., Research Associate, Moscow State University of Psychology and Education, Sretenka str., 29, 103051 Moscow, Russia.
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Suggested citation

Dodonova Y.A., Dodonov Y.S. On choosing a model for estimating individual differences in latent growth trajectories. Psikhologicheskie Issledovaniya, 2013, Vol. 6, No. 27, p. 3.

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