Factor Correlations: Survey Data on Virtual Product Purchases by Esports Gamers

Survey data from 239 esports gamers with prior purchase experience of virtual non-functional products in free-to-play games. The dataset was collected via an online survey on Reddit and includes Likert-scale measurements for constructs like self-presentation motivation, attitude, and purchase intention. It was authored by Kun Chang and last updated on 2026-05-04.

Use Cases

• Testing structural equation models based on the motivation-cognition-intention-behavior framework described.
• Analyzing generational differences in consumer decision-making processes for virtual goods.
• Studying the relationship between self-presentation motivation and purchase behavior in gaming contexts.

Strengths

• Dataset size is 5.5 KB, indicating a focused and manageable scope for analysis.
• All constructs were measured using established multi-item Likert scales, suggesting methodological rigor.
• The analysis includes specific statistical results (e.g., β coefficients and p-values) for model paths.

Limitations

• Row count is unknown, which may limit suitability assessment for certain statistical methods.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample of 239 gamers from Reddit may reflect platform-specific bias.

Provenance

Source

Kun Chang

Collection Method

Online survey distributed on Reddit to esports gamers.

Time Range

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Freshness

Last updated 2026-05-04 17:26:07; freshness should be verified.

Geography

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