Abstract
The integration of Large Language Models (LLMs) into social science research
presents transformative opportunities for advancing scientific inquiry,
particularly in public administration (PA). However, the absence of
standardized methodologies for using LLMs poses significant challenges for
ensuring transparency, reproducibility, and replicability. This manuscript
introduces the TaMPER framework-a structured methodology organized around five
critical decision points: Task, Model, Prompt, Evaluation, and Reporting. The
TaMPER framework provides scholars with a systematic approach to leveraging
LLMs effectively while addressing key challenges such as model variability,
prompt design, evaluation protocols, and transparent reporting practices.