Method

Overview

This doctoral project adopts a sequential mixed-method design (QUAN → QUAL), combining quantitative modelling with qualitative follow-up to interpret patterns in context.

Quantitative phase

What is modelled

• Measurement quality and construct validity (e.g., CFA)
• Person-centred patterns (e.g., latent profile analysis)
• Conditional effects (e.g., moderation / interaction models)

What is reported

• Psychometric evidence (reliability and validity)
• Profile solutions and interpretability
• Robustness checks and model transparency

Qualitative phase

The qualitative component explores how organizational members interpret strategic decisions, make sense of uncertainty, and evaluate whether “alignment” is genuine or merely apparent.

Ethics and data protection

• Participation is voluntary.
• Data are handled confidentially and analysed at aggregated levels.
• No individual or organization is identifiable in public outputs.