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| STAT0162-1 | Statistical analysis of qualitative and quantitative data in social sciences
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| Duration : | 30h Th, 15h Pr |
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| Credits/ECTS : |
| Master in Sociology, in-depth approach, 1st year | | First semester | | 6 |
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| Master in Sociology, didactic approach, 1st year | | First semester | | 6 |
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| Master in Human Resources Management, Professional Focus, 1st year | | First semester | | 6 |
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| Master in Human Resources Management, Professional Focus, 2nd year | | First semester | | 6 |
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| Master in Sociology, Professional focus in applied sociology, 1st year | | First semester | | 6 |
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| Holder(s) : | Philippe Lambert |
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| Language : | French language |
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| Course contents : | This course consists of about ten theoretical lectures related to the analysis of qualitative data in social sciences. Most of the treated data are extracted from surveys. The studied statistical techniques are logistic regression, log-linear models and their extensions to deal with ordinal variables. These tools will mainly be used to analyse contingency tables : the goal will be to put the focus on relevant associations between the involved concepts and to understand their meaning. Examples of increasing difficulty will be proposed. Practicals will be organised to enable students to apply these techniques with the Statistica software. A project requiring the analysis of some aspects of the themes tackled by a national or an international survey (with an available database) will extend and complete the training. |
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| Course objective : | To understand and to apply the basic statistical tools required by the analysis of qualitative data from surveys in social sciences ; to learn how to communicate the results of such analyses. |
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| Prerequisites : | It is assumed that students have a basic training in probability theory, in statistical inference and in the use of Statistica. |
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| Workshops : | Practicals aim at performing the statistical analyses studied during the theoretical lectures with the Statistica software. Other examples will also be proposed to consolidate the understanding of the studied techniques. |
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| Organization : | The course is organized during the 1st semester. The written report associated to the project required by the oral exam (see below) must be finished by the end of the 2nd semester. |
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| Written notes : | The slides used during the course will be made available with the associated list of references. |
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| Assessment : | The assessement is made during an oral exam. The starting point will be a written report describing the analyses undertaken by the student with Statistica to get insight in some of the themes tackled by a national or an international survey (with an available database). The report is expected by the end of the 2nd semester. The different techniques studied during the course should be used and so illustrated. A student won't be allowed to take the exam if he/she did not transmit the above mentioned written report at the prescribed time and in the required format. |
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| Contacts : | Philippe LAMBERT, Institut des sciences humaines et sociales, Bât B31, local R.54, tél: 04/366.59.90, email: p.lambert@ulg.ac.be |
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