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A Reproducible Survey Workflow for Examining Psychological Resilience, Sense of School Belonging, and Higher-Order
Mengmeng Zhong1, Cemei Li2, Pu Song3
1Vocational Education Research Institute, Liuzhou Polytechnic University.
Abstract:
This method article presents a reproducible cross-sectional self-report survey protocol for examining associations among psychological resilience, sense of school belonging (SSB), higher-order thinking, and internet gaming disorder (IGD) in college students. In this protocol, new employment patterns are treated as a contextual background shaped by generative artificial intelligence, platform-based work, and changing graduate skill expectations rather than as a participant-level exposure variable. The protocol integrates institutional sampling, questionnaire administration, translation documentation, response-quality screening, missing-data handling, scale scoring, common-method-bias screening, variable centering, and conditional process analysis into one standardized workflow. SSB is specified as a statistical mediator, and IGD is specified as a moderator within an association-based moderated mediation framework. Representative outputs include sample-flow records, descriptive statistics, correlation matrices, mediation and moderated mediation estimates, conditional indirect effects, the index of moderated mediation, and interaction plots. Because the representative dataset is cross-sectional and self-reported, the protocol supports transparent estimation of statistical associations rather than causal or longitudinal inference. By standardizing preprocessing decisions and model specifications before analysis, this workflow improves transparency, comparability, and reproducibility in educational and behavioral survey research.
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