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Method Article

A Reproducible Survey Workflow for Examining Psychological Resilience, Sense of School Belonging, and Higher-Order Thinking in College Students

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DOI:

10.3791/71359

June 5th, 2026

In This Article

Summary

This protocol presents a reproducible survey workflow for data collection, quality screening, and moderated mediation analysis in college students.

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.

Introduction

New employment patterns shaped by generative artificial intelligence, platform-based work, and cross-domain occupational integration have changed how universities discuss graduate preparedness and student development1. In this article, new employment patterns are treated as a contextual framing condition rather than a measured participant-level exposure. The protocol does not classify students according to their direct participation in platform labor, gig work, or artificial intelligence-mediated employment. Instead, this context explains why higher-order thinking (HOT), psychological resilience (PR), and school-based support are relevant const....

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Protocol

This study was approved by the Ethics Committee of Liuzhou Vocational and Technical College (protocol code: LVTC-2024-02-879; approval date: February 1, 2024). Obtain electronic informed consent before questionnaire access. Remove direct identifiers before data export and analysis. Store raw, cleaned, analysis-ready, scoring, screening, and output files in restricted-access folders.

1. Recruit participants using a prespecified multistage random sampling workflow

  1. Build and lock the institutional sampling frame
    1. Define new employment patterns as the contextual background of the study rather than as a pa....

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Results

Sample characteristics and preliminary variable patterns
The workflow successfully generated a complete sample-flow record before statistical modeling. As shown in Table 1, a total of 860 students were invited during the prespecified data-collection window, and 800 questionnaires were returned, giving an overall response rate of 93.0%. After response-quality screening, 24 invalid responses were excluded, leaving 776 valid cases in the final analysis-ready dataset. The retained sample.......

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Discussion

This method article presents a reproducible survey-to-analysis workflow for examining association-based mediation and moderated mediation patterns among PR, SSB, HOT, and IGD symptoms in college students. The primary contribution of the workflow is methodological rather than causal because the protocol demonstrates how a cross-sectional self-report dataset can be collected, screened, scored, documented, and analyzed through a transparent sequence of prespecified procedures. In this revised protocol, new employment patter.......

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Disclosures

The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This research was supported by Liuzhou Polytechnic University (Grant No. 2023SB16).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Institutions; codes I-01 to I-32Study teamN/ALocked before random selection and used for institution-level randomization.
Institutional screening logStudy teamN/ADocumented institutional eligibility criteria, source documents, eligibility decisions, and institution codes.
Internet Gaming Disorder ScaleLemmens, Valkenburg, and Gentile (2015), The Internet Gaming Disorder Scale, Psychological Assessment, 27(2), 567–582. doi:10.1037/pas0000062N/A9-item scale aligned with DSM-5 criteria and used as a continuous self-reported IGD symptom measure rather than as a clinical diagnosis.
Mediation model outputStudy teamModel 4 outputOutput for the mediation model with PR as X, SSB as M, and HOT as Y.
Moderated mediation model outputStudy teamModel 59 outputOutput for the moderated mediation model with IGD moderating the PR → SSB, PR → HOT, and SSB → HOT paths.
Online questionnaire platformWenjuanxing / Questionnaire StarN/AWeb-based survey platform used for electronic informed consent, online questionnaire administration, forced-response settings, and survey-data export.
Pilot-check recordStudy teamN/A30-student pilot-check record used to assess item clarity, comprehension, completion burden, and platform function. Pilot participants were not included in the final analytic sample.
Psychological Resilience ScaleHu and Gan revision based on the Connor-Davidson frameworkN/A25-item scale used to measure psychological resilience. Responses were scored on a 5-point Likert scale and computed as mean scores.
Psychological Sense of School Membership ScaleChinese revised version based on Goodenow’s school-membership frameworkN/A18-item scale used to measure school belonging. Items 3, 6, 9, 12, and 16 were reverse-scored before mean-score computation.
Randomization procedureStudy teamRandom seed: 20241007Used for institution-level and student-level random selection through a seed-based random-number procedure.
Raw survey datasetStudy teamRaw_Survey_NEP_2024_800returned_locked.xlsxRaw exported dataset containing 800 returned questionnaires before response-quality exclusion.
Response-quality screening logStudy teamN/ADocumented 24 excluded responses, including duplicate responses, eligibility inconsistencies, completion-time exclusions, straight-line responses, and repeated-pattern responses.
Response-quality screening rulesStudy teamN/AExclusion criteria included duplicate submission, eligibility inconsistency, completion time <360 s, same option selected for ≥85% of Likert items, and repeated alternating patterns across ≥15 consecutive Likert items.
Scale reliability outputStudy teamN/AOutput reporting Cronbach’s alpha values for PR, HOT, SSB, and IGD.
Scoring and coding reference fileStudy teamSupplementary Table 2Documents item count, response range, reverse-coded items, score direction, mean-score computation, demographic coding, and reliability values.
Session administration logStudy teamN/ARecorded administration date, institution code, class context, counselor identifier, invitation count, returned count, session duration, and deviations.
Statistical softwareIBM Corp.IBM SPSS Statistics, version 27.0Used for descriptive statistics, correlations, reliability analysis, exploratory factor analysis, regression, mediation, and moderated mediation analyses.
Student randomization logStudy teamRandom seed: 20241007Documented student-level stratified random selection within the three selected institutions.
Supplementary Table 1Study teamTranslation and adaptation recordDocuments item source, original wording, forward translation, back translation, final Chinese wording, expert review, pilot feedback, and revision rationale.
Supplementary Table 2Study teamScoring and coding rulesDocuments scoring rules, reverse coding, demographic coding, variable abbreviations, and reliability values.
Translation and adaptation recordStudy teamSupplementary Table 1Documents forward translation, reconciliation, back translation, expert review, pilot checking, and final Chinese wording.
Windows operating systemMicrosoft Corp.Windows 11 Pro, 64-bitOperating system used for statistical analysis and output generation.

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Tags

Cross-Sectional SurveyInternet Gaming DisorderModerated MediationConditional Process AnalysisSelf-Report Protocol