Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses. / Czycholl, Irena; Klingbeil, Philipp; Krieter, Joachim.

In: Journal of Equine Veterinary Science, Vol. 75, 04.2019, p. 112-121.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Czycholl, I, Klingbeil, P & Krieter, J 2019, 'Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses', Journal of Equine Veterinary Science, vol. 75, pp. 112-121. https://doi.org/10.1016/j.jevs.2019.02.005

APA

Czycholl, I., Klingbeil, P., & Krieter, J. (2019). Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses. Journal of Equine Veterinary Science, 75, 112-121. https://doi.org/10.1016/j.jevs.2019.02.005

Vancouver

Czycholl I, Klingbeil P, Krieter J. Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses. Journal of Equine Veterinary Science. 2019 Apr;75:112-121. https://doi.org/10.1016/j.jevs.2019.02.005

Author

Czycholl, Irena ; Klingbeil, Philipp ; Krieter, Joachim. / Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses. In: Journal of Equine Veterinary Science. 2019 ; Vol. 75. pp. 112-121.

Bibtex

@article{a828ef1072704ff3bd5540e6618959be,
title = "Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses",
abstract = "Objective tools for the assessment of animal welfare are needed. The present study analyzed the interobserver reliability of the Animal Welfare Indicators (AWIN) welfare assessment protocol for horses to further enhance knowledge concerning reliability. Therefore, two trained observers conducted 18 assessments on farm at the same time and on the same animals. The results were compared at individual level by calculation of Cohen's kappa (kappa), weighted kappa (kappa(w)), and prevalence-adjusted, bias-adjusted kappa (PABAK). Spearman rank correlation coefficient (RS), intraclass correlation coefficient (ICC), limits of agreement (LoA), and smallest detectable change (SDC) were used at farm level. The Qualitative Behaviour Assessment was further analyzed by means of principal component analysis. At the individual level, most of the indicators demonstrated acceptable (kappa, kappa(w), PABAK >= 0.4) to good (kappa kappa(w), PABAK >= 0.6) interobserver reliability. Also, at farm level, most of the indicators demonstrated acceptable (RS >= 0.4; ICC >= 0.4; SDC: = 0.7; ICC: >= 0.7; SDC:",
keywords = "Animal-based, Animal welfare, AWIN, Horses, Observer, Reliability, TEST-RETEST RELIABILITY, QUALITATIVE ASSESSMENT, AGREEMENT, KAPPA, PREVALENCE, BIAS, REPEATABILITY, COEFFICIENT, VALIDATION, SYSTEM",
author = "Irena Czycholl and Philipp Klingbeil and Joachim Krieter",
year = "2019",
month = apr,
doi = "10.1016/j.jevs.2019.02.005",
language = "English",
volume = "75",
pages = "112--121",
journal = "Journal of Equine Veterinary Science",
issn = "0737-0806",
publisher = "W.B.Saunders Co.",

}

RIS

TY - JOUR

T1 - Interobserver Reliability of the Animal Welfare Indicators Welfare Assessment Protocol for Horses

AU - Czycholl, Irena

AU - Klingbeil, Philipp

AU - Krieter, Joachim

PY - 2019/4

Y1 - 2019/4

N2 - Objective tools for the assessment of animal welfare are needed. The present study analyzed the interobserver reliability of the Animal Welfare Indicators (AWIN) welfare assessment protocol for horses to further enhance knowledge concerning reliability. Therefore, two trained observers conducted 18 assessments on farm at the same time and on the same animals. The results were compared at individual level by calculation of Cohen's kappa (kappa), weighted kappa (kappa(w)), and prevalence-adjusted, bias-adjusted kappa (PABAK). Spearman rank correlation coefficient (RS), intraclass correlation coefficient (ICC), limits of agreement (LoA), and smallest detectable change (SDC) were used at farm level. The Qualitative Behaviour Assessment was further analyzed by means of principal component analysis. At the individual level, most of the indicators demonstrated acceptable (kappa, kappa(w), PABAK >= 0.4) to good (kappa kappa(w), PABAK >= 0.6) interobserver reliability. Also, at farm level, most of the indicators demonstrated acceptable (RS >= 0.4; ICC >= 0.4; SDC: = 0.7; ICC: >= 0.7; SDC:

AB - Objective tools for the assessment of animal welfare are needed. The present study analyzed the interobserver reliability of the Animal Welfare Indicators (AWIN) welfare assessment protocol for horses to further enhance knowledge concerning reliability. Therefore, two trained observers conducted 18 assessments on farm at the same time and on the same animals. The results were compared at individual level by calculation of Cohen's kappa (kappa), weighted kappa (kappa(w)), and prevalence-adjusted, bias-adjusted kappa (PABAK). Spearman rank correlation coefficient (RS), intraclass correlation coefficient (ICC), limits of agreement (LoA), and smallest detectable change (SDC) were used at farm level. The Qualitative Behaviour Assessment was further analyzed by means of principal component analysis. At the individual level, most of the indicators demonstrated acceptable (kappa, kappa(w), PABAK >= 0.4) to good (kappa kappa(w), PABAK >= 0.6) interobserver reliability. Also, at farm level, most of the indicators demonstrated acceptable (RS >= 0.4; ICC >= 0.4; SDC: = 0.7; ICC: >= 0.7; SDC:

KW - Animal-based

KW - Animal welfare

KW - AWIN

KW - Horses

KW - Observer

KW - Reliability

KW - TEST-RETEST RELIABILITY

KW - QUALITATIVE ASSESSMENT

KW - AGREEMENT

KW - KAPPA

KW - PREVALENCE

KW - BIAS

KW - REPEATABILITY

KW - COEFFICIENT

KW - VALIDATION

KW - SYSTEM

U2 - 10.1016/j.jevs.2019.02.005

DO - 10.1016/j.jevs.2019.02.005

M3 - Journal article

VL - 75

SP - 112

EP - 121

JO - Journal of Equine Veterinary Science

JF - Journal of Equine Veterinary Science

SN - 0737-0806

ER -

ID: 328016941