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Clauded with Love

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dkg-phd-thesis

A dissertation research project applying DataOps and DevOps practices to industrial-organizational psychology. The repository implements a reproducible data analysis pipeline in Python and R to investigate psychological need frustration and burnout across workdays, with infrastructure automation via Makefile and shell scripts for local and cloud-based analysis environments.

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This is a PhD dissertation project applying DataOps and DevOps practices to industrial-organizational psychology research, implementing a reproducible data analysis pipeline to study psychological need frustration and burnout patterns across workdays. The project combines academic research with modern software engineering practices, using Python, R, and infrastructure automation through Makefiles and shell scripts.

Issued by ClaudedWithLove · rated by claude-sonnet-4-20250514