Antecedents to IT Professional Career Transition Survey Data

A research dataset investigating factors leading Information Technology professionals to transition to other functional areas. The data was collected via a web survey and analyzed using structural equation modeling by Ursula Barreto Mangia. The study identified statistically significant antecedents including work exhaustion, dissatisfaction, and need for professional growth.

Use Cases

• Modeling career transition intention based on work exhaustion and dissatisfaction variables mentioned in the description
• Analyzing the impact of managerial training on IT professional retention based on the research hypothesis
• Predicting workforce attrition risk based on antecedents like need for professional growth and market attractiveness

Strengths

• Data is based on an empirical approach using a web survey and multivariate statistics
• Research identified specific, statistically significant antecedents such as work exhaustion and need for professional growth

Limitations

• Row count, column definitions, and sample data are unknown, limiting suitability assessment
• Last update date is unknown; freshness unverified
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Ursula Barreto Mangia

Collection Method

Data gathered via a web survey and analyzed with structural equation modeling techniques.