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Prerequisites
Language of instruction
Duration
Identical coursesResearch Methods: Numbers, Data and Networks (B-KUL-F0YV2A)
Cannot be taken as part of an examination contract
De Keyzer Maïka (coordinator) | De Keyzer Maïka | Peeters Jan (substitute) | Depauw Mark Aims
The student is familiar with the basic competences of quantitative research methods.
Previous knowledge
No specific prerequisites.
Identical courses
This course is identical to the following courses:
F0LJ0B : Quantitative Research Methods and Information Studies (No longer offered this academic year)
V0AH3B : Quantitative Research Methods and Information Science (No longer offered this academic year)
V0YV2A : Research Methods: Numbers, Data and Networks
Is included in these courses of study
- Preparatory Programme: Master of Ancient History (Leuven) 27 ects.
- Bachelor of History (Leuven) (Specialisation Ancient History) 180 ects.
- Bachelor of History (Leuven) (Specialisation: Antiquity until Present) 180 ects.
- Bachelor of History (Abridged Programme) (Leuven) (Specialisation Ancient History) 55 ects.
- Bachelor of History (Abridged Programme) (Leuven) (Specialisation Antiquity until Present) 55 ects.
- 43 ects.
Activities
4 ects. Quantitative Research Methods (B-KUL-F0LI8a)
Content
Students will be introduced to the application of a number of quantitative research methods in historical practice. More in particular students will learn to perform complex calculations (powers, radicals, logarithms), to make tables and draw graphs, but also to interpret the properties of a numerical distribution (central tendency and dispersion). Students will also learn to determine the size and nature of relations between quantitative and qualitative phenomena (parametric and non-parametric tests). Furthermore it will be demonstrated which statistical possibilities exist to analyse changes in time and how samples and probability functions can facilitate research.The whole set of quantitative methods is preceded by a general historiographic introduction that puts those techniques in a broader intellectual context. Attention will also be paid to the application of historical critique to numerical data.
Course material
Trend and toeval and the online material
Format: more information
Blended learning
1 ects. Data and Network Analysis (B-KUL-F0YV2a)
Content
In this part of the course, students are introduced to data and network analysis. They acquire knowledge about how to set up a database structure, specifically for historical datasets. The course explains how to structure relationships between different types of data within a database and how to model this database into a relational one. For this purpose, the user-friendly Filemaker Pro application (database software) will be used. This software allows students to familiarise themselves with the various functionalities of setting up a database (structuring, modelling, advanced queries, import and export of data and formats, data cleaning, data manipulation, etc.) in an efficient yet scientific way. The network part explains basic principles such as nodes / edges, centrality measures, one mode of two mode networks, ...
Course material
Digital material (e.g. PowerPoint presentations) is made available on Toledo.
Format: more information
In the lectures, students are given two assignments to put theory into practice (1. setting up a database structure and 2. creating a relational database based on a given dataset). Afterwards, these are also discussed in groups, where feedback is given and the most common mistakes are discussed.