The period centers on statistical confidentiality and the governance of computerized databanks, framing privacy as a function of data sharing, access, and control within growing data systems. Researchers introduced a 56-item Privacy Preference Scale and an interpersonal boundary-control perspective, enabling early empirical work and theory-informed policy discussion. Methodologically, the period blends theoretical analysis with nascent measurement to link privacy to data architectures and governance. Historical Significance: The era's breakthroughs include clarifying statistical confidentiality and inadvertent disclosures, analyzing databanks in a free society, and proposing a boundary-control theory of privacy. It also produced a comprehensive privacy preference measurement instrument that informed later research across demographics and contexts. Together, these contributions created a lasting framework for balancing data accessibility with privacy protections, shaping subsequent data governance and privacy research.