Understand the technical issues involved in the collection of reliable data
| Cognitive skills Analysis, judgement, attention to detail |
Generic competencies |
| Personal capabilities | Technical ability |
| Business awareness | Practical elements Professional expertise |
Display the basic techniques for the analysis of data, including the use of statistics and corpus-analytic techniques
| Cognitive skills Analysis, judgement, attention to detail |
Generic competencies |
| Personal capabilities | Technical ability |
| Business awareness | Practical elements Professional expertise |
Understand the reasons for, and the criteria for evaluating, alternative analyses of a given set of data
| Cognitive skills Analysis, judgement, attention to detail |
Generic competencies |
| Personal capabilities | Technical ability |
| Business awareness | Practical elements Professional expertise |
Demonstrate the presentation of linguistic data and analyses by means of graphs, tables, matrices and other diagrams
| Cognitive skills Analysis, judgement, attention to detail |
Generic competencies |
| Personal capabilities | Technical ability Technical application |
| Business awareness | Practical elements Professional expertise |
Assess the merits of contrasting theories and explanations, including those of other disciplines
| Cognitive skills Analysis, judgement, attention to detail |
Generic competencies |
| Personal capabilities | Technical ability |
| Business awareness | Practical elements Professional expertise |
Distinguish descriptive systems from the data they describe
| Cognitive skills Analysis, judgement, attention to detail |
Generic competencies |
| Personal capabilities | Technical ability |
| Business awareness | Practical elements Professional expertise |
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