• formulate a limited and precise quantitative research problem,
• operationalise a research problem, including developing models and hypotheses,
• be familiar with the basics of survey research and be able to produce their own data by carrying out a simple survey
• plan a basic statistic analysis,
• analyse data and present the relevant findings in tables and figures,
• account for which impact the level of measurement has on the analyses,
• discuss strengths and weaknesses in a data set in relation to a given problem, and
• analyse data using a statistical software package
• be able to report results in accordance with academic standards

This course is the first in our multi-course research methods sequence for undergraduate students. The aim of the course is to introduce students to research design, survey data and quantitative methods with a focus constructing and analyzing survey data. Students will be introduced to the research process and the process of analyzing quantitative data through reading and practical exercises. The first part of the course focuses on the beginning of the research process – the choice of research design and the production of survey data, enabling students to construct their own survey. The second part of the course moves from production of data to analysis of data. Here, students will (1) get an understanding of some of the key concepts behind statistical analysis, (2) obtain knowledge of basic statistical methods, (3) learn/review some rudimentary math skills that are frequently employed in the social sciences and (4) develop their ability to apply quantitative methods to do their own quantitative analysis. While this part will to a large extent use micro (individual) level data, students will also be introduced to the use of macro level data (e.g. at the country level). 
The topics that we will cover in this course include selecting research questions and appropriate designs for analysing particular question, sampling and survey construction, operationalization of concepts, probability distributions, basic descriptive statistics, sampling distributions, point and interval estimation, hypothesis testing, and regression analysis for continuous and limited dependent variables. We will also introduce you to STATA, the computer program we will be using for exercises and assignments. Finally, the course will also provide students with guidance on how to report results from quantitative analysis in an accessible and transparent manner.


The course is planned to support the other courses in the 2^nd semester (Introduction to Organisational Sociology and Philosphy of Science) in order that the students may be equipped to write the 1^st year project using insights from all three courses. Students are expected to be able to draw upon the theories and methods they learn in the other courses in order to formulate research questions etc. in this course. Students will be encouraged to begin writing early about their work early in the semester.

The following material is required readings which you are expected to obtain:
David de Vaus (2013): Surveys in Social Research, 6^th edition. Routledge.
Agresti, Alan and Barbara Finlay.  2008.  Statistical Methods for the Social Sciences.  Pearson Education International
Kellstedt & Whitten (2013). Fundamentals of Political Science Research, 2^nd edition. Cambridge University Press.You also use this book in Quantitative Methods I. The books are available @ Academic Books.
The other prescribed readings will be available on Learn.