Chapter 3 Types of Data Analysis in three
- Slides: 10
Chapter 3: Types of Data Analysis (in three parts)
Part 1 (1) Historical overview (see Fig. 1) (2) Contrastive analysis (a) explanation (b) hierarchy of difficulty (c) problems (3) Error analysis (a) explanation (b) error taxonomy (also in Part 2)
Part 2 (b) error taxonomy (c) mistake vs. error (d) interlanguage (see Fig. 2, 3, 4) (e) fossilization (f) CA vs. EA perspectives on the learner (g) problems (4) Performance analysis (a) definition (b) morpheme studies (c) developmental sequences (also in Part 3)
Part 3 (c) developmental sequences (d) learner strategies (e) acquisition of forms and functions (see Fig. 5, 6) (f) formulaic utterances (g) limitations of PA (5) Discourse analysis (a) definition (b) conversational analysis (c) other applications (d) new areas of investigation (6) Conclusion (a) each type of analysis subsumed the one (s) before it (b) influence of linguistics 1. language acquisition as rule formation 2. emphasis on morphosyntax (c) other possibilities
CA Fig. 1 EA PA DA Development of types of data analysis
● L 1 ● L 2 Fig. 2 Interlanguage continuum as progression from L 1 to L 2
● zero L 2 competence ● high L 2 proficiency Fig. 3 Interlanguage continuum as progression from zero L 2 proficiency to high L 2 proficiency
● zero L 2 competence ● high L 2 proficiency Fig. 4 Interlanguage continuum as progress and regress
function form △ ○ x y Fig. 5 One-to-one mapping z
function form x many-to-one x y one-to-many Fig. 6 Multiple mapping
- Three rules of data analysis
- 3 types of data analysis
- Descriptive mining of complex data objects
- Data types in data representation
- Eck
- Complex data types in data mining
- Content analysis is a type of secondary data analysis
- Data collection procedures
- Data preparation and basic data analysis
- Data acquisition and data analysis
- Hobbits and orcs problem solution