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Subject
News
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.

 

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Validity evidence of the internal structure of the DAACS Self-Regulated Learning Survey.

Future Review: International Journal of Transition, College, and Career Success. 2018. Vol. 1. No. 1. P. 1–18.
Lui A., Franklin D., Akhmedjanova D., Gorgun G., Bryer J., Andrade H., Cleary T.

The Diagnostic Assessment and Achievement of College Skills (DAACS) online system assesses newly
enrolled college students’ skills in reading, writing, mathematics, and self-regulated learning, and
provides individualized feedback and links to resources. The purpose of this study is to examine validity
evidence regarding the internal structure of the DAACS Self-Regulated Learning (SRL) self-report
survey. Factor structure was initially examined using maximum-likelihood exploratory factor analysis
with varimax rotation on a pilot sample (n = 682). Based on the results, as well as the intended uses of the
survey and expert opinion, two confirmatory factor analysis models were tested: the measurement model,
and the instructional model. Validity evidence regarding the survey’s internal structure were gathered
using a new sample of 6,644 adult learners at an online university. The confirmatory factor analysis
results, correlations, and internal consistency reliability estimates suggested acceptable model fit for both
the measurement and instructional models. Both models were retained to serve different purposes.

Research target: Education Psychology
Language: English
Keywords: reliabilitymotivationconfirmatory factor analysisconstruct validitymetacognitionself-regulated learningexploratory factor analysis
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