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Jamie Griffin

Biographic Data

ID5099019
NAMEJamie Griffin
GIVEN NAMESJamie
FAMILY NAMEGriffin
SIGNATUREGRIFFIN J
AFFILIATIONSUniversity of Michigan
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2015
H-INDEX0
  • Understanding Participant Representativeness in Deliberative Events

    Open Access•Jamie Griffin, Tarik Abdel‐Monem et al.•ARTICLE•Journal of Deliberative Democracy•2015

    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

    Jamie Griffin•ARTICLE•Public Opinion Quarterly•2013•References: 6

    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

    Jamie Griffin•ARTICLE•Public Opinion Quarterly•2013•References: 6

    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

    Open Access•Jamie Griffin, Tarik Abdel‐Monem et al.•ARTICLE•Journal of Deliberative Democracy•2015

    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)

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