1. Chapter 3: Types of Data Analysis (in three parts)

2. (1) Historical overview (see Fig. 1) (see Fig. 1)(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 1

3. (b) error taxonomy (b) error taxonomy (c) mistake vs. error (c) mistake vs. error (d) interlanguage (see Fig. 2, 3, 4) Fig. 234Fig. 234 (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 2

4. (c) developmental sequences (c) developmental sequences (d) learner strategies (d) learner strategies (e) acquisition of forms and functions (see Fig. 5, 6) Fig. 56Fig. 56 (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 Part 3

5. Fig. 1 Development of types of data analysis CA EA PA DA CA EA PA DA

6. Fig. 2 Interlanguage continuum as progression from L1 to L2 ● ● ● ● L1 L2 L1 L2

7. Fig. 3 Interlanguage continuum as progression from zero L2 proficiency to high L2 proficiency ● ● zero L2 high L2 competence proficiency

8. Fig. 4 Interlanguage continuum as progress and regress ● ● zero L2 high L2 competence proficiency

9. Fig. 5 One-to-one mapping function △ ○ form x y z

10. Fig. 6 Multiple mapping function form x x y many-to-one one-to-many many-to-one one-to-many