Survey Data on Virtual Goods Purchase Behavior in Free-to-Play Games

239 survey responses from esports gamers on Reddit with prior purchase experience of virtual non-functional products. The data was collected to test a multi-relational model (motivation-cognition-intention-behavior) and analyzed using structural equation modeling. The dataset was authored by Kun Chang and last updated on 2026-05-04.

Use Cases

• Testing structural equation models based on the described motivation-cognition-intention-behavior framework.
• Analyzing generational differences in purchase decision-making processes for virtual goods.
• Modeling the relationship between self-presentation motivation and purchase intention based on survey constructs.
• Investigating the roles of attitude, subjective norm, and perceived behavioral control on purchase behavior in free-to-play games.

Strengths

• All constructs were measured using established multi-item Likert scales, suggesting methodological rigor.
• Dataset includes results from multi-group analysis, indicating examination of subgroup differences.
• The 5.5 KB file size suggests a focused, manageable dataset for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment for certain modeling tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The sample of 239 esports gamers from Reddit may not be representative of the broader gaming population.

Provenance

Source

Online survey distributed on Reddit to esports gamers.

Collection Method

Data collected via survey measuring constructs with multi-item Likert scales.

Freshness

Last updated 2026-05-04 17:26:09; freshness should be verified.