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Catherine M Paxton

Biographic Data

ID6562800
NAMECatherine M Paxton
GIVEN NAMESCatherine M
FAMILY NAMEPaxton
SIGNATUREPAXTON C M
AFFILIATIONSVanderbilt University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX1
  • The water sector industry workforce

    Open Access•Catherine M Paxton, Kayla M Anderson et al.•ARTICLE•Utilities Policy•2022•Cited by: 2•References: 2

    There is rising awareness of drinking water workforce challenges in the United States. This study investigated factors associated with workforce capacity in community water systems in Tennessee, USA, using responses from 286 participants collected via the Tennessee Public Water Operator Survey (PWOS). Odds ratios of variables associated with workforce recruitment and retention measures were calculated using multivariate ordinal logistic regressio…

  • The water sector industry workforce

    Open Access•Catherine M Paxton, Kayla M Anderson et al.•ARTICLE•Utilities Policy•2022•Cited by: 2•References: 2

    There is rising awareness of drinking water workforce challenges in the United States. This study investigated factors associated with workforce capacity in community water systems in Tennessee, USA, using responses from 286 participants collected via the Tennessee Public Water Operator Survey (PWOS). Odds ratios of variables associated with workforce recruitment and retention measures were calculated using multivariate ordinal logistic regressio…

  • The water sector industry workforce

    Open Access•Catherine M Paxton, Kayla M Anderson et al.•ARTICLE•Utilities Policy•2022•Cited by: 2•References: 2

    There is rising awareness of drinking water workforce challenges in the United States. This study investigated factors associated with workforce capacity in community water systems in Tennessee, USA, using responses from 286 participants collected via the Tennessee Public Water Operator Survey (PWOS). Odds ratios of variables associated with workforce recruitment and retention measures were calculated using multivariate ordinal logistic regressio…

Business (1 work) · Economic growth (1 work) · Economics (1 work) · Environmental economics (1 work) · Environmental Justice and Health Disparities (1 work) · Global Health Workforce Issues (1 work) · Logistic regression (1 work) · Marketing (1 work) · Mathematics (1 work) · Multivariate statistics (1 work)

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