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Teaching GuideTerm Faculty of Sociology |
| Grao en Socioloxia |
 Subjects |
| Multivariate Analysis of Social Data |
| Learning aims |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Multivariate Analysis of Social Data | Code | 615G01206 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Upon successful completion of this course, students will be able to select the multivariate analysis technique appropriate to the research question | A5 A7 A26 |
B21 |
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| Upon successful completion of this course, students will be able to handle the SPSS statistical package for the analysis of social data | A7 A14 A16 |
B4 B7 B21 |
C3 |
| Upon successful completion of this course, students will be able to differentiate the phases and tasks involved in the systematic application of each of the multivariate analysis techniques exposed | A7 |
B21 |
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| Upon successful completion of this course, students will be able to analyze social data of different types by applying multivariate analysis techniques | A5 A7 A16 |
B3 B27 |
C1 |
| Upon successful completion of this course, students will be able to interpret the results of research involving the use of multivariate analysis techniques | A5 A7 A16 |
B3 B27 |
C1 |
| Upon successful completion of this course, students will be able to extract the relevant information from large sets of social data | A15 A16 |
B3 B5 B12 B27 |
C1 |
| Upon successful completion of this course, students will be able to exhibit in public a scientific article in which the studied techniques of multivariate analysis are applied | B3 B6 |
C1 |
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| Upon successful completion of this course, students will be able to apply the techniques studied to real research situations | A7 A14 A15 A16 A26 |
B3 B4 B12 |
C1 |
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