Abstract
Longitudinal studies allow to access the review of causal hypotheses directly. It means that they make possible causal relation between the order of impacts (i.e. life events, educational effects, etc.) and the consequences that then occur. Long-term data storage has specific requirements for software and methods of data storage and conversion. The paper introduces criteria for evaluating software tools in the context of their application in longitudinal studies in psychology. The study is devoted to the analysis of popular tools of psychological research based on the criteria, which were introduced.
Highlights
A longitudinal study is a type of survey aimed to study the group of people that is monitored for a certain period of time
Longitudinal studies are difficult to conduct, but they provide a number of advantages in comparing with other research methods: 1) Assessment of individual changes; 2) Identification of environmental events initiating certain processes; 3) A prospective identification of environmental impacts; 4) Separation of time effects: cohort, period, age; 5) Cohort effects control
It is no coincidence that large-scale longitudinal studies all over the world occupy an important place in fundamental science, and in educational practice
Summary
A longitudinal study is a type of survey aimed to study the group of people (research sample) that is monitored for a certain period of time. Interdisciplinary research allows to identify a full range of different factors of mental development disorders, and of personality formation, motivation, value orientations and success in learning educational programs These factors may be associated with the characteristics of prenatal and early child development, morphofunctional maturation of the brain and the systemic brain organization of cognitive functions, language environment, genetic profile, lifestyle, etc. The results of longitudinal interdisciplinary research provide huge data sets, that opens for new opportunities to use the intelligent analysis methods for assessing both global and local systemic effects (for example, assessing the impact of various educational technologies on the mental development of children), as well as to understand the characteristics of individual response on these factors. The third one describes the software development based on the analysis of functionality
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