This document provides an overview of quantitative research methods. It discusses key concepts like population and sample, probability and the central limit theorem. Common statistical tests are explained briefly, including t-tests, ANOVA, chi-square, correlation, regression, and structural equation modeling. Mistakes to avoid are outlined, such as ignoring assumptions of methods, performing multiple t-tests without correction, and misusing exploratory factor analysis. The importance of reporting quality measures, handling missing data and self-selection bias are also mentioned. Overall, the document serves as a quick review of quantitative research methodology.