Quantitative Data Analysis [ LPOLS1221 ]
5.0 crédits ECTS
30.0 h + 20.0 h
2q
| Teacher(s) |
Marquet Jacques ;
|
| Language |
French
|
Place
of the course |
Louvain-la-Neuve
|
| Main themes |
The course comprises:
1. Introduction to research logic
2. Cross table analysis
3. Index construction
4. Introduction to classification analysis
5. Introduction to principal component factorial analysis.
|
| Aims |
The course and practical work are intended to help students acquire basic data analysis skills in the Social Sciences and constitute an introduction to multivariate analysis.
By the end of this course, students should be able to:
1°/ specify the different types of problems-questions for which the methods studied in the course are relevant; 2°/ interpret the statistical analyses for which these methods apply; 3°/ make deliberate use of the principal instruments of descriptive statistics and statistical inferencing introduced during the Statistics and Elements of Probability course and which will be reviewed when the related SPSS commands are taught.
|
| Content |
The course will be based on secondary analysis, using existing data. Initially, the course will introduce students to research logic, demonstrating the inherently constructed character of any type of data. The introduction will cover the following topics: the primacy of the initial research question, the hypothesis-concepts-indicators sequence, measuring levels and elements of sampling theory.
The second part of the course concentrates, through problem-question solving activities, on variable construction and description and the interpretation of contingency tables used as a means of testing simple hypotheses.
The third part of the course examines multivariate data analysis. This firstly involves showing the postulates underlying the methods under scrutiny, the limitations of their use, the questions that they make it possible to solve, and correct interpretation of the analyses. The course will emphasise dimensional and classificational analysis methods.
The software used throughout the course and for the exercises is SPSS.
The course alternates between lectures and sessions dealing with concrete examples (problem-question solving); these are carried out during the practical exercise sessions (computer-based).
|
| Other information |
Course entry requirements: This course expands on the Statistics and Elements of Probability course and the Study Skills Seminar , both of which students must have attended before taking this course.
Evaluation:
Students will be evaluated according to pre-defined objectives by means of a written examination. This exam will test students' ability to correctly apply the methods introduced in the course and interpret the results of analyses.
Ongoing (auto-)evaluation: While they are taking the course, students will be given a wide range of problems to solve, and will thus be able to evaluate their performance on an ongoing basis.
Course materials: Lecture notes written by the teachers; a copy of the OHP transparencies used on the course; a reading portfolio containing articles presenting or discussing the methods studied in the course; a computerised data file (and the accompanying code-book) on which the examples are based and which students can practise on.
Supervision: An assistant gives the practical exercise classes.
|
Cycle et année
d'étude |
> Bachelor in Sociology and Anthropology
> Bachelor in Law
> Bachelor in Ancient and Modern Languages and Literatures
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> Bachelor in Philosophy
> Bachelor in Engineering : Architecture
> Bachelor in Ancient languages and Literatures : Classics
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> Bachelor in Psychology and Education: General
> Bachelor in Economics and Management
> Bachelor in French and Romance Languages and Literatures : General
> Bachelor in Human and Social Sciences
> Bachelor in Motor skills : General
> Bachelor in Modern Languages and Literatures : General
> Bachelor in Political Sciences: General
> Bachelor in History of Art and Archaeology : General
> Bachelor in Ancient Languages and Literatures: Oriental Studies
> Bachelor in Mathematics
> Bachelor in History
> Bachelor in Biomedicine
> Bachelor in Pharmacy
> Bachelor in Religious Studies
> Preparatory year for Master in Political Sciences (all orientations) and for Master in Public Administration
> Preparatory year for Master in Sociology
> Preparatory year for Master in Anthropology
> Bachelor in Computer Science
> Bachelor in Engineering
> Preparatory year for Master in Human Resources Management
> Preparatory Year for Master in Population and Development Studies
> Preparatory year for Master in Family and Sexuality Studies
|
Faculty or entity
in charge |
> ESPO
|
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