HTMT Matrix Results for IT Graduate Employability Study in Sri Lanka

345 IT undergraduates in Sri Lanka participated in structured surveys for a study on employability determinants. The data was analyzed using partial least squares structural equation modelling (PLS-SEM) to examine the influence of UI/UX, soft, and technical skills. The dataset, authored by Dhamindi Senadheera and last updated in April 2026, contains the Heterotrait-Monotrait (HTMT) matrix results from this analysis.

Use Cases

• Validate discriminant validity in a structural equation model based on the HTMT matrix results.
• Replicate the study's analysis of gender as a moderating factor in skill-employability relationships.
• Investigate the mediating roles of self-efficacy and proficiency levels between skills and employability.
• Compare skill importance for employability in a non-Western, specifically Sri Lankan, IT sector context.

Strengths

• Dataset is based on survey responses from 345 IT undergraduates, providing a specific sample size.
• Analysis employs PLS-SEM, a method suitable for complex model testing with latent variables.
• Explicitly addresses a research gap by integrating UI/UX, soft, and technical skills within a single study.

Limitations

• The dataset is very small at 5.5 KB, indicating limited raw data or containing only model results.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific geographic and temporal context (Sri Lankan IT undergraduates), which may limit generalizability.

Provenance

Source

figshare

Collection Method

Structured surveys administered to IT undergraduates.

Freshness

Last updated 2026-04-10 17:51:55; freshness should be verified.

Geography

Sri Lanka