Jamie Griffin
Biographic Data
| ID | 5099019 |
|---|---|
| NAME | Jamie Griffin |
| GIVEN NAMES | Jamie |
| FAMILY NAME | Griffin |
| SIGNATURE | GRIFFIN J |
| AFFILIATIONS | University of Michigan |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 0 |
Understanding Participant Representativeness in Deliberative Events
Deliberative event participants often differ in meaningful ways from the population they are intended to represent; however, less is known about whether various recruitment methods influence participant representativeness. Furthermore, a better understanding of where in the recruitment process lack of representation occurs is needed. We present a framework for understanding why event attendees might not represent the target population and then co…
On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers
The purpose of this study is to explore whether latent variable models may be used to detect individual variability in the interpretation of vague quantifiers of behavioral frequency. Specifically, differential interpretation is modeled as a continuous latent interpretation factor (via a random intercept item factor model) and categorical latent interpretation classes (via a factor mixture model). Using data from an experiment embedded in the 200…
No prominent works on this page.
On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers
The purpose of this study is to explore whether latent variable models may be used to detect individual variability in the interpretation of vague quantifiers of behavioral frequency. Specifically, differential interpretation is modeled as a continuous latent interpretation factor (via a random intercept item factor model) and categorical latent interpretation classes (via a factor mixture model). Using data from an experiment embedded in the 200…
Understanding Participant Representativeness in Deliberative Events
Deliberative event participants often differ in meaningful ways from the population they are intended to represent; however, less is known about whether various recruitment methods influence participant representativeness. Furthermore, a better understanding of where in the recruitment process lack of representation occurs is needed. We present a framework for understanding why event attendees might not represent the target population and then co…
Computer Science (2 works) · Mathematics (2 works) · Psychology (2 works) · Statistics (2 works) · Advanced Statistical Methods and Models (1 work) · Applied Psychology (1 work) · Artifact (error (1 work) · Artificial Intelligence (1 work) · Categorical variable (1 work) · Differential (mechanical device (1 work)