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Ken Frank

Biographic Data

ID4270807
NAMEKen Frank
GIVEN NAMESKen
FAMILY NAMEFrank
SIGNATUREFRANK K
AFFILIATIONSMichigan State University, East Lansing, MI, USA
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS10
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2022
H-INDEX1
  • The probability of a robust inference for internal validity

    Open Access•Tenglong Li, K A Frank et al.•ARTICLE•Sociological Methods & Research•2022•References: 40

    The internal validity of observational study is often subject to debate. In this study, we define the counterfactuals as the unobserved sample and intend to quantify its relationship with the null hypothesis statistical testing (NHST). We propose the probability of a robust inference for internal validity, that is, the PIV, as a robustness index of causal inference. Formally, the PIV is the probability of rejecting the null hypothesis again based…

  • Network Location and Policy‐Oriented Behavior

    Open Access•K A Frank, Ken Frank et al.•ARTICLE•Policy Studies Journal•2012•Cited by: 10•References: 44

    This study explores how a scientist's location in science‐based policy networks can affect her policy‐oriented behaviors. In particular, we hypothesize that those scientists who fill structural holes in their networks will be more likely than others to engage in policy‐oriented behaviors. The network data are defined by scientists' coauthorship on policy documents regarding climate change in the Great Lakes. We employ a two‐mode network analysis …

  • Network Location and Policy‐Oriented Behavior

    Open Access•K A Frank, Ken Frank et al.•ARTICLE•Policy Studies Journal•2012•Cited by: 10•References: 44

    This study explores how a scientist's location in science‐based policy networks can affect her policy‐oriented behaviors. In particular, we hypothesize that those scientists who fill structural holes in their networks will be more likely than others to engage in policy‐oriented behaviors. The network data are defined by scientists' coauthorship on policy documents regarding climate change in the Great Lakes. We employ a two‐mode network analysis …

  • Network Location and Policy‐Oriented Behavior

    Open Access•K A Frank, Ken Frank et al.•ARTICLE•Policy Studies Journal•2012•Cited by: 10•References: 44

    This study explores how a scientist's location in science‐based policy networks can affect her policy‐oriented behaviors. In particular, we hypothesize that those scientists who fill structural holes in their networks will be more likely than others to engage in policy‐oriented behaviors. The network data are defined by scientists' coauthorship on policy documents regarding climate change in the Great Lakes. We employ a two‐mode network analysis …

  • The probability of a robust inference for internal validity

    Open Access•Tenglong Li, K A Frank et al.•ARTICLE•Sociological Methods & Research•2022•References: 40

    The internal validity of observational study is often subject to debate. In this study, we define the counterfactuals as the unobserved sample and intend to quantify its relationship with the null hypothesis statistical testing (NHST). We propose the probability of a robust inference for internal validity, that is, the PIV, as a robustness index of causal inference. Formally, the PIV is the probability of rejecting the null hypothesis again based…

Computer Science (2 works) · Advanced Causal Inference Techniques (1 work) · Agency (philosophy (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Bridging (networking (1 work) · Causal inference (1 work) · Climate Change Communication and Perception (1 work)

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