Lecture 5: in-depth interviews

Question 1

types of observations

Answer 1

Data set observations: standardized across cases

Causal process observations: unstandardized with-in cases

Question 2

Types of measurement errors

Answer 2

Content validation
Convergent/discriminant validation
Nomological/construct validation

Question 3

Content validation

Answer 3

does a given indicator adequately capture the full content of the systematized concept

Question 4

Convergent/discriminant validitation

Answer 4

are the scores produced by alternative indicators of a given systematized concept empirically associated and thus convergent? Do these indicators have a weaker association with indicators of a second, different systemized concept…?

Question 5

Nomological/construct validation

Answer 5

is an established hypothesis again confirmed when the cases are scored with the proposed indicator for a systematized concept

Question 6

Primary resources of data

Answer 6

Archival data collection

Participant data collection

Question 7

Philosophical perspectives on doing interviews

Answer 7

Miner perspective

Traveler perspective