Module 4 Overview | DATASPHERES AI - Dataspheres AI

What to Expect This module covers qualitative coding: the three-level coding structure (families, codes, applications), codebook design, and the conditions...

What to Expect This module covers qualitative coding: the three-level coding structure (families, codes, applications), codebook design, and the conditions under which AI-assisted coding is methodologically defensible. Module Learning Objectives By the end of this module, you will be able to: Construct a codebook with deductive families and document inductive additions (CLO 4) Apply codes anchored to exact quotes with memos and confidence values (CLO 4) Integrate AI-assisted coding under intercoder review with source-quality caps (CLO 4) To-Do List Read: Codebooks - deductive backbone, inductive growth Read: AI as second coder Complete: Module 4 quiz Your learning in this module is evaluated by the module quiz (pass mark 60%). Quizzes are untimed and autograded. In the sample study This module's whole arc is played out publicly: a codebook with include/exclude criteria, 53 verbatim segments coded with timestamps, then two blind coders recoding everything - agreement κ = 0.885 on theme, 0.909 on stance - and an adjudication that caught the original coder drifting and amended the codebook (v1.1). Your assignment: run the third pass.