A subscription to JoVE is required to view this content. Sign in or start your free trial.

Method Article

A Structured Workflow for Screening, Scoring, and Visualizing Undergraduate Student Well-Being Questionnaire Data

147 views

⸱

DOI:

10.3791/72304

⸱

September 3rd, 2026

 ,  ,  ,  , 

In This Article

Summary

This protocol demonstrates a structured and auditable workflow for processing anonymized undergraduate well-being questionnaire data, from raw export and response screening to scale scoring, reliability checking, regression diagnostics, figure-source verification, and visualization-ready analytic outputs.

Abstract

Questionnaire-based studies are widely used to examine student well-being, but the procedural route from raw responses to analyzable variables, statistical tables, and visual outputs is often insufficiently documented. This protocol demonstrates a structured and auditable workflow for processing anonymized undergraduate well-being questionnaire data collected with multiple Likert-type scale sections. The workflow begins with ethics approval, consent documentation, questionnaire configuration, and raw-data export, and then proceeds through response screening, duplicate-response review, missing-data handling, item coding, reverse scoring, reliability assessment, descriptive analysis, correlation analysis, contrastive group comparison, regression modeling, diagnostic checking, and visualization-source preparation. The example questionnaire uses source-documented and study-adapted scale sections informed by the Depression Anxiety Stress Scales-21, Tuckman Procrastination Scale, Psychological Sense of School Membership Scale, higher-order thinking measurement literature, and subjective well-being scale documentation. Negative emotion, academic procrastination, school belongingness, higher-order thinking, and subjective well-being are used as example scale-level variables to show how item-level responses can be converted into traceable analytic outputs. Representative outputs include a screening-flow table, demographic summary, descriptive and range-verification statistics, internal-consistency estimates, a correlation matrix, contrastive comparison results, regression coefficients, residual and influence diagnostics, and figure-source files. The protocol emphasizes prespecified decision rules, a linked scale map, a pre-analysis screening log, reverse-scoring verification, and numerical-source verification for figures. Rather than proposing a new psychometric scale, validating a measurement model, or establishing causal relationships, this method provides a practical and auditable procedure for researchers who need to screen, score, analyze, and visualize questionnaire-based undergraduate well-being data. The workflow may be adapted to related questionnaire-based studies when the scale map, ethics approval, scoring rules, response-screening thresholds, and visualization-source files are defined before analysis.

Introduction

Subjective well-being is an important outcome in student research because it reflects how students evaluate their lives, emotional experiences, social relationships, and daily functioning within learning environments. In higher education, student well-being is multidimensional rather than limited to life satisfaction or psychological distress alone1. Questionnaire data, therefore, remain useful when researchers need to examine emotional, behavioral, social, cognitive, and well-being-related experiences within the same analytic framework.

The value of questionnaire data depends not only on the constructs selected but ....

Access restricted. Please log in or start a trial to view this content.

Protocol

This study involving human participants was reviewed and approved by the Ethics Committee of the College of Aeronautics, Guizhou Open University (Approval No. GZOU-EDU-2024-015). The committee determined that the study qualified for ethical exemption because it used anonymous, voluntary questionnaire procedures and posed no more than minimal risk to participants. All participants provided electronic informed consent before completing the questionnaire and could stop answering at any time without penalty. Because several items addressed negative emotions, stress, loneliness, helplessness, dissatisfaction, or related well-being experiences, the consent page and final qu....

Access restricted. Please log in or start a trial to view this content.

Results

Analytic dataset generated after response screening
The response-screening workflow generated an analytic dataset of 420 anonymized student records from 448 submitted questionnaires. The screening log recorded each decision point. Six records were removed because consent or eligibility requirements were not met, five duplicate submissions were removed, four records were excluded because more than 20% of all scale items were missing, and 13 records were excluded because they met two or more response-q.......

Access restricted. Please log in or start a trial to view this content.

Discussion

This protocol standardizes a common but often underreported process in questionnaire-based well-being studies: the movement from raw response records to screened data, scored scale variables, statistical outputs, and visualization-ready files. Its contribution is not the development of a new subjective well-being theory or the proposal of a causal model. Instead, the workflow provides an auditable route for questionnaire configuration, response screening, scale scoring, reliability checking, descriptive analysis, associa.......

Access restricted. Please log in or start a trial to view this content.

Disclosures

The authors have no conflicts of interest to declare.

Acknowledgements

The authors thank the college students who participated in the questionnaire survey for their support during data collection. The authors also thank the relevant instructors and research assistants for their assistance with questionnaire distribution, data organization, verification of results, and the preparation of tables and figures. This work received no specific funding.

....

Access restricted. Please log in or start a trial to view this content.

Materials

List of materials used in this article
NameCompanyCatalog NumberComments
broom R packageCRANR packageUsed to convert regression outputs into structured coefficient and model-summary tables.
car R packageCRANR packageUsed for variance inflation factor verification and regression diagnostic support.
Depression Anxiety Stress Scales-21 source documentationPsychology Foundation of AustraliaLovibond and Lovibond, 1995Source documentation for the negative emotion section. The workflow used study-adapted wording aligned with recent negative emotional-state assessment.
dplyr R packageCRANR packageUsed for data filtering, recoding, grouping, screening-flow summaries, and analytic table preparation.
ggplot2 R packageCRANR packageUsed to generate the correlation heatmap, subjective well-being correlation plot, regression coefficient plot, and diagnostic display.
Higher-order thinking measurement source documentationSpringer NatureDOI: 10.1038/s41598-024-70908-3Source documentation for the higher-order thinking section. The workflow used a study-adapted item set aligned with analytical, evaluative, reflective, integrative, and evidence-based thinking.
IBM SPSS StatisticsIBM Corp.Version 29.0.2.0Used for descriptive statistics, Cronbach’s alpha, Pearson correlation, independent-samples and Welch’s t-tests, multiple linear regression, Durbin-Watson statistic, standardized residuals, leverage values, Cook’s distance, and variance inflation factors.
psych R packageCRANR packageUsed for psychometric summaries, Cronbach’s alpha verification, and McDonald’s omega.
Psychological Sense of School Membership Scale source documentationWileyPsychol Sch. 1993;30(1):79-90Source documentation for the school belongingness section. The workflow used study-adapted wording aligned with perceived acceptance, connection, support, and belonging in the school environment.
R statistical environmentR Foundation for Statistical ComputingVersion 4.4.2Used for secondary analytic verification, McDonald’s omega, Spearman sensitivity checks, regression-output preparation, diagnostic-output preparation, and visualization-source preparation.
readxl R packageCRANR packageUsed to import spreadsheet questionnaire exports into the R verification workflow.
Subjective Well-being Scale for Chinese Citizens source documentationScientific & Academic PublishingDOI: 10.5923/j.ijap.20190905.01Source documentation for the subjective well-being section. The workflow used study-adapted wording and reverse-scored items aligned with life satisfaction, meaning, support, progress, dissatisfaction, helplessness, and stress-related well-being experiences.
Supplementary File 1: Questionnaire structure and scale documentationAuthorsSupplementary File 1Provides the administered questionnaire structure, construct order, scale provenance, item codes, response anchors, scoring direction, reverse-scoring rules, scale-level score construction, and documentation-status information.
Tuckman Procrastination Scale source documentationSAGE PublicationsEduc Psychol Meas. 1991;51(2):473-480Source documentation for the academic procrastination section. The workflow used study-adapted wording aligned with academic delay and task-postponement behavior.
Wenjuanxing online questionnaire platformChangsha Ranxing Information Technology Co., Ltd.Web-based platformUsed for electronic consent, questionnaire programming, item response collection, timestamp capture, completion-duration recording, duplicate-submission review, and raw-response export.

References

  1. 1. Khatri P et al. Student well-being in higher education: scale development and validation with implications for management education. Int J Manag Educ. 2024;22(1):100933.
  2. Mirzaei A, Carter SR, Patanwala AE, Schneider CR. Missing data in surveys: key concepts, approaches, and applications. Res Social Adm Pharm. 2022;18(2):2308-16.
  3. Gummer T, Roßmann J, Silber H. Using instructed response items as attention checks in web surveys: properties and implementation. Sociol Methods Res. 2021;50(1):238-64.
  4. Johansson F et al. Associations between procrastination and subsequent hea....

Access restricted. Please log in or start a trial to view this content.

Reprints and Permissions

Explore More Articles

Likert ScaleResponse ScreeningReverse ScoringReliability AssessmentDescriptive AnalysisCorrelation AnalysisRegression ModelingData Visualization