https://studiegids.vu.nl/en/courses/2025-2026/E_EBE3_QRMAMAcademic and Research Skills:Student has knowledge of basic and advanced methods (such as factor analysis and multiple regression analysis including methods to analyse moderating and mediating effects) to be able to estimate the statistical models with the use of R and interpret the results.Student knows how to deal with limitations in the data, such as outliers, missing observations and what to do if the data do not meet the assumptions of statistical tests.Student has sufficient knowledge of basic and advanced methods to be able to translate a research question into a formal, testable model.Student has sufficient knowledge of research design to be able to independently set up a research project.This course focuses on conducting research. This includes research design, selecting the appropriate methods, analysis and interpretation of the results. You will learn how to express theories as abstract models and how to correctly interpret the results of estimating these models. In this course we build on your statistical knowledge gained in Quantitative Research Methods II. We cover a wider selection of advanced methods such as factor analysis and multiple regression analysis including methods to analyze moderating and mediating effects. You will learn how to implement these techniques in statistical software (R). The choice of the correct specification and the interpretation of the results will be central. We also discuss how to deal with limitations in the data.Lectures. Practice sessions with R. Tutorials.Assignment – individual assessment. Exam – individual assessment.Bougie, R. and U. Sekaran (2020). Research Methods for Business. Wiley, 8th Edition.It is not possible to retake the assignment (part of the final grade). Students who completed the minor 'Applied Econometrics: A Big Data Experience for All' may choose a different course that is part of the curriculum of one of the SBE Bachelor programs instead of QRM III.Quantitative Research Methods I and Quantitative Research Methods II.