This doctoral-level course focuses on the conceptualization, design, and execution of quantitative investigations aimed at advancing nursing knowledge and ultimately improving the health of individuals, populations, and/or the planet. The integral interconnections among research, theory, and practice will be emphasized as well as how the philosophical perspectives that inform nursing science have evolved over time. This course is intended to advance students’ ability to not only critically engage with quantitative methods, understand their application, and integrate them meaningfully into research, but also their ability to communicate and assist with the appropriate translation of quantitative research findings (i.e., quantitative literacy). Topics addressed include measurement and instrumentation, intervention development and testing, sampling and statistical power, data management and analysis, testing of explanatory models, statistical versus clinical significance, as well as the ethical conduct of research and the mobilization of research findings. Descriptive, correlational, comparative, quasi-experimental, experimental, survey, and mixed methods designs will be examined. Issues pertaining to the use of primary versus existing data will be explored. Threats to construct, internal, external, and statistical conclusion validity will be discussed as well as strategies to mitigate their effect.