Адаптация и валидация двух шкал оценки вычислительного мышления на российской популяции: психометрическое исследование

Journal of Modern Foreign Psychology. 2026. Vol. 15. No. 3. P. 98–113.

Nikiforova K., Kulikova S., Platonova T., Demareva V.

The increasing prevalence of technology in daily life has led to a rising demand for IT specialists. In response, educational curricula have been adapted to incorporate coding lessons as early as primary school. However, the cognitive processes underlying computational thinking (CT) — the ability to apply a systematic problem-solving approach akin to computer logic — remain inadequately understood. While several scales for measuring CT have been proposed and adapted for various languages, research on this concept in Russia has been limited.

Objective.

The present study aims to adapt two previously validated CT scales for a population of Russian programmers and conduct a comparative psychometric analysis to identify their suitability and differences in measuring self-assessed CT. Hypotheses. Both scales will be applicable within the context of Russian programmers; the scales will operationalize distinct constructs within CT. Methods. Two CT scales (Tsai, Liang, Hsu, 2021, 19 items; Korkmaz, Çakir, Özden, 2017, 29 items) were translated into Russian using back-translation. After filtering for at least 6 months of programming experience, the final analytic sample comprised 148 programmers of diverse ages and programming experience (N = 148, M = 20.7, SD = 5.7). Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to assess factor structure; Cronbach’s α assessed internal consistency.

Results.

Neither original factor structure fully replicated in the Russian sample (Scale 1 collapsed to one factor; Scale 2 to three factors). A combined four-factor solution demonstrated acceptable to good internal consistency (Cronbach’s α = 0.77—0.89) and superior CFA fit (RMSEA = 0.058, CFI = 0.895) compared with one- and two-factor alternatives.

Conclusions.

Although the original factor structures of both scales did not fully replicate, a combined four-factor solution captures meaningful CT-related constructs in this population, supporting a refined 39-item instrument for assessing self-perceptions of CT among Russian-speaking programmers.

Keywords: факторный анализ, психометрика, psychometrics, computational thinking, exploratory factor analysis, вычислительное мышление, confirmatory factor analysis