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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Dataset for pretest posttest serious game evaluation through Structural Equation Model

Authors: Gómez García, Luis Demetrio;

Dataset for pretest posttest serious game evaluation through Structural Equation Model

Abstract

This dataset contains a curated pre–post dataset from a workshop with informal small vendors (bodegueros) in San Juan de Lurigancho, Lima (Peru), conducted in November 2023 using the serious game Bodegus as an ethics-oriented intervention. The dataset captures two constructs—Perceived Usefulness of Formal Business Practices (TAM-inspired) and Intention to Formalize (TPB-inspired)—modeled as second-order formative composites across three domains: governance/leadership, legal/tax, and accounting/finance. Materials include: (i) item-level pre/post responses and descriptive summaries; (ii) an Excel workbook mirroring the analysis workflow; (iii) SmartPLS 4 artifacts for PLS-SEM (formative) with bootstrapping, MICOM invariance inputs, multigroup tests (permutation, Henseler’s MGA), and PLSpredict outputs; (iv) the English questionnaire and a codebook detailing variables, levels, and coding rules; and (v) a brief sensitivity note (G*Power) regarding small-sample constraints. The sample (n = 38) consists of hard-to-reach informal entrepreneurs; the HR domain is retained in the instrument but not analyzed due to limited valid cases. Files are organized for replication, classroom use, and aggregation with future cohorts, and can be adapted to other serious-game or active-learning interventions.

Keywords

PLS-SEM, Serious games, MICOM, multigroup analysis, Moral sensitivity, design science, informality, predictive validation, Informal business practices, Entrepreneurial formalization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average