Analysis of software tools for longitudinal studies in psychology

被引：0

作者：

Kolyasnikov P. ^{[1
]}

Nikulchev E. ^{[2
]}

Belov V. ^{[2
]}

Silaeva A. ^{[2
]}

Kosenkov A. ^{[3
]}

Malykh A. ^{[4
]}

Takhirova Z. ^{[5
]}

Malykh S. ^{[6
]}

机构：

[1] Russian Academy of Education, Moscow

[2] MIREA-Russian Technological, University, Moscow

[3] Sechenov First Moscow State, Medical University, Moscow

[4] National Research Nuclear, University MEPhI, Moscow

[5] Saint-Petersburg State University, Saint-Petersburg

[6] Lomonosov Moscow State, University, Moscow

来源：

International Journal of Advanced Computer Science and Applications | 2019年 / 10卷 / 08期

基金：

俄罗斯科学基金会;

关键词：

Choice of the tools for psychological research; Criteria for software evaluation; Longitudinal studies; Software tools for psychological research;

D O I：

10.14569/ijacsa.2019.0100804

中图分类号：

学科分类号：

摘要：

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. © 2018 The Science and Information (SAI) Organization Limited.

引用

页码：21 / 33

页数：12

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