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Christopher Crawford

Biographic Data

ID4145487
NAMEChristopher Crawford
GIVEN NAMESChristopher
FAMILY NAMECrawford
SIGNATURECRAWFORD C
AFFILIATIONSSenior Planner for Cattaraugus County, New York, USA
ORCID0000-0003-4957-0613
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS4
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Dynamic Fit Index Cutoffs for Time Series Network Models

    Open Access•Siwei Liu, Christopher Crawford et al.•ARTICLE•Multivariate Behavioral Research•2026

    In this study, we extend the dynamic fit index (DFI) developed by McNeish and Wolf to the context of time series analysis. DFI is a simulation-based method for deriving fit index cutoff values tailored to the specific model and data characteristics. Through simulations, we show that DFI cutoffs for detecting an omitted path in time series network models tend to be closer to exact fit than the popular benchmark values developed by Hu and Bentler. …

  • Structured Estimation of Heterogeneous Time Series

    Zachary F Fisher, Young-Hoon Kim et al.•ARTICLE•Multivariate Behavioral Research•2024

    How best to model structurally heterogeneous processes is a foundational question in the social, health and behavioral sciences. Recently, Fisher et al. introduced the multi-VAR approach for simultaneously estimating multiple-subject multivariate time series characterized by common and individualizing features using penalized estimation. This approach differs from many popular modeling approaches for multiple-subject time series in that qualitati…

  • Experiences of university employees of the impact of a mindful self-care and resiliency program on their well-being

    Desley Hegney, Lily Tsai et al.•ARTICLE•Higher Education Research &…•2021

    University employees experience high levels of workplace stress, with the perception that it is increasing, due to less autonomy, increased student numbers, excessive administrative work and role ambiguity. This study is part of a larger evaluation of the effectiveness of a Mindfulness, Self-Care and Resiliency (MSCR) program to improve the well-being of university employees in a regional university in Australia. In this study we report the resul…

  • The role of citizen participation and action research principles in Main Street revitalization

    Open Access•R M Silverman, H L Taylor et al.•ARTICLE•Action Research•2008•Cited by: 4•References: 11

    This article examines the use of citizen participation techniques during the planning process for neighborhood revitalization in the Village of Depew which is an industrial suburb of Buffalo, New York. The article focuses on how action research principles can inform and enhance traditional approaches to citizen participation. In particular, we discuss our role as university-based consultants in the local planning process and how drawing from acti…

  • The role of citizen participation and action research principles in Main Street revitalization

    Open Access•R M Silverman, H L Taylor et al.•ARTICLE•Action Research•2008•Cited by: 4•References: 11

    This article examines the use of citizen participation techniques during the planning process for neighborhood revitalization in the Village of Depew which is an industrial suburb of Buffalo, New York. The article focuses on how action research principles can inform and enhance traditional approaches to citizen participation. In particular, we discuss our role as university-based consultants in the local planning process and how drawing from acti…

  • The role of citizen participation and action research principles in Main Street revitalization

    Open Access•R M Silverman, H L Taylor et al.•ARTICLE•Action Research•2008•Cited by: 4•References: 11

    This article examines the use of citizen participation techniques during the planning process for neighborhood revitalization in the Village of Depew which is an industrial suburb of Buffalo, New York. The article focuses on how action research principles can inform and enhance traditional approaches to citizen participation. In particular, we discuss our role as university-based consultants in the local planning process and how drawing from acti…

  • Experiences of university employees of the impact of a mindful self-care and resiliency program on their well-being

    Desley Hegney, Lily Tsai et al.•ARTICLE•Higher Education Research &…•2021

    University employees experience high levels of workplace stress, with the perception that it is increasing, due to less autonomy, increased student numbers, excessive administrative work and role ambiguity. This study is part of a larger evaluation of the effectiveness of a Mindfulness, Self-Care and Resiliency (MSCR) program to improve the well-being of university employees in a regional university in Australia. In this study we report the resul…

  • Structured Estimation of Heterogeneous Time Series

    Zachary F Fisher, Young-Hoon Kim et al.•ARTICLE•Multivariate Behavioral Research•2024

    How best to model structurally heterogeneous processes is a foundational question in the social, health and behavioral sciences. Recently, Fisher et al. introduced the multi-VAR approach for simultaneously estimating multiple-subject multivariate time series characterized by common and individualizing features using penalized estimation. This approach differs from many popular modeling approaches for multiple-subject time series in that qualitati…

  • Dynamic Fit Index Cutoffs for Time Series Network Models

    Open Access•Siwei Liu, Christopher Crawford et al.•ARTICLE•Multivariate Behavioral Research•2026

    In this study, we extend the dynamic fit index (DFI) developed by McNeish and Wolf to the context of time series analysis. DFI is a simulation-based method for deriving fit index cutoff values tailored to the specific model and data characteristics. Through simulations, we show that DFI cutoffs for detecting an omitted path in time series network models tend to be closer to exact fit than the popular benchmark values developed by Hu and Bentler. …

Complex Systems and Time Series Analysis (2 works) · Computer Science (2 works) · Engineering (2 works) · Mental Health Research Topics (2 works) · Series (stratigraphy) (2 works) · Sociology (2 works) · Action (physics (1 works) · Action plan (1 works) · Action research (1 works) · Algorithm (1 works)

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