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Home » Social Sciences » Management » Lean Research Skills for Conducting Interviews (Spring 2021) (M-I-T) » Analyzing Interview Data (M-I-T)

Analyzing Interview Data (M-I-T)

Course:Lean Research Skills for Conducting Interviews (Spring 2021) (M-I-T)
Discipline:Social Sciences
Institute:MIT
Instructor(s): Elizabeth Hoffecker and Zoe Dibb
Level:Undergraduate

Lean Research Skills for Conducting Interviews (Spring 2021) (M-I-T)

5 Skills of Effective Interviewers (M-I-T)
A lean informed consent process (M-I-T)
Analyzing Interview Data (M-I-T)
Approaches to processing data (M-I-T)
Assessing Interviews: Exercise #1 (M-I-T)
Instructions for conducting your interview (M-I-T)
Challenges arising from the dynamics of difference (M-I-T)
Introducing Lean Research (M-I-T)
Coding interview data (M-I-T)
Letting the interviewee lead (M-I-T)
Commentary on Interview #1 (M-I-T)
Putting interviewees at ease (M-I-T)
Conducting and documenting interviews (M-I-T)
Qualities of effective interviewers (M-I-T)
Connecting across differences in familiar places (M-I-T)
Recruiting participants and preparing your interview (M-I-T)
Connecting across differences in unfamiliar places (M-I-T)
Selecting an analysis approach (M-I-T)
Course Introduction (M-I-T)
Strategies from the TEGAs for connecting across differences (M-I-T)

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