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Nomic account. Independent Vars. Dependent Vars. Mediating Vars. a 4 ß. W 2 (t 1 ). W 4 (t 2 ). a 5 ß. a 1 ß. W 1 (t 0 ). W 6 (t 3 ). a 2 ∂. a 6 ∂. W 3 (t 1 ). W 5 (t 2 ). a 3 ∂. Narrative account.
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Nomic account Independent Vars Dependent Vars Mediating Vars
a4ß W2(t1) W4(t2) a5ß a1ß W1(t0) W6(t3) a2∂ a6∂ W3(t1) W5(t2) a3∂ Narrative account Narratives are AND-graphs with W, states of the world; t, time; a, actions; and actors ß, ∂. (Abell, 2004)
a4ß W2(t1) W4(t2) a1ß a5ß W1(t0) W6(t3) a6∂ a2∂ W3(t1) W5(t2) a3∂ • (Generative) Structuralism: • Event structure analysis (Heise) • Sequence analysis (Abott) • -Organisational grammars (Pentland) • -Multi-Agent modelling Generalisation:-Analysis of Variance-Time Series Analysis-Stochastic Modelling
a4ß W2(t1) W4(t2) a1ß a5ß W1(t0) W6(t3) a6∂ a2∂ W3(t1) W5(t2) a3∂ What is an acceptable causal link? ‘Action’ causality: Human actions, to the extent that the consequences of these actions are observable, can be treated as causes of changes in the world. ‘Nomic’ causality: Each and every causal link inserted into a chronology must derive from a comparative and general understanding of causality
Narrative account: (Builds on necessary cause) Explanation Nomic account: (Builds on necessary & sufficient cause) Comparison & generalisation Comparison & generalisation Explanation
From ‘tension’ to ‘constructive tension’ • Each ‘side’ ought to see value in the respective ‘other’ type of explanatory account (or at least accept the epistemological differences) • Pragmatically, different analysis can be performed on the same type of data -> look for synergies
Qualitative Methods Quantitative Methods Event- Based Representa- tions Variable- Based Representa- tions General event structure data model Text Speech Graphics Video CSCL Studies