The quantitative method of research is often considered the “most” scientific as it is more empirically oriented than a qualitative research design. Many researchers associate it with “number crunching” and the use of sophisticated software to analyze the data. Quantitative research involves the collection of existing data or acquiring new data such as from surveys involving hundreds if not hundreds of thousands of participants. Health research can include research in the areas of epidemiology, longitudinal cohort studies, and randomized control trials. An example of a quantitative study is the Health-related Behaviors and Technology Usage among College Students survey, which surveyed 591 students to determine if there is an association between their amount of technology usage and their health. The hypothesis was supported that lower technology usage was associated with better health related-behaviors or outcomes. The 28-item questionnaire explored areas such as body mass index (BMI), sleep, physical activity, and nutritional behaviors. The study utilized descriptive statistical analyses such as means, standard deviations, frequencies, and percentiles for health behaviors and demographics. Inferential statistics were used to determine the statistical significance between technology usage and health behaviors. One-way analysis of variance (ANOVA) was the statistical analysis of the variance test used to determine the result independent variables have on the dependent variable. The scientific method was carefully followed and the results indicate the more technology college students use, the less advantageous it is for their health, specifically in relation to BMI, sleep patterns, and healthy eating. This is an example of how health research can be instructive and potentially impact the health of college students if the research is made available in easily accessible and readable formats.