Title: What do Quantitative Researchers Want from Qualitative Research? (or at least what does one quantitative researcher want)
1What do Quantitative Researchers Want from
Qualitative Research?(or at least what does one
quantitative researcher want)
- Robert M. Groves
- University of Michigan and
- Joint Program in Survey Methodology USA
2Inside the Quantitative-side of the Heads of
Researchers
- An inferential population
- A target process of inquiry
- A sampling process
- A fixed measurement process
3Notions of Quality from the Quantitative Side
- Variance
- Conceptual realizations of the measurement
process - Includes
- Sample
- Interviewers
- Items used
- Bias
- Systematic features of the measurement
4Representation
Measurement
Inferential Population
Construct
Target Population
Validity
Coverage Error
Measurement
Sampling Frame
Measurement Error
Sampling Error
Response
Sample
Nonresponse Error
Processing Error
Respondents
Edited Data
Survey Statistic
5Given this, Whats Missing that the Quantitative
Side of the Brain Wants?
- Flexibility of observation surprises
measurement of the unexpected - The pre-structured nature of most quantitative
data suppresses chances of observing the
unexpected - The open question has gradually withered away
from practice - Interviewer observations are standardized
6Given this, Whats Missing that the Quantitative
Side of the Brain Wants? (contd)
- Contextual sensitivity interpersonal behaviors
- Quantitative measures often fail to capture among
person interaction - Ethnographies, especially, add cross-time
observation to the interpersonal
7Given this, Whats Missing that the Quantitative
Side of the Brain Wants? (contd)
- Trust-based measurement Possibility of
measurement of the unintended the
normally-hidden the subconscious - When the researcher becomes a trusted group
member - Respondent-centered measurement of what is
central to them, in their own terms - Avoiding the imposition of the researchers
framework
8What This Could Give the Quantitative
Measurement/Analysis?
- Agreement/disagreement with findings
- Alternative explanations for empirical findings
- Interaction hypotheses
- Multilevel hypotheses context impacts
- Reaction to structured measurement