Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/107495
Title: Ad hoc procedure for optimising agreement between observational records
Author: Arana, Javier
Lapresa, Daniel
Anguera Argilaga, María Teresa
Garzón, Belén
Keywords: Observació (Mètode científic)
Atzar
Observation (Scientific method)
Chance
Issue Date: Mar-2016
Publisher: Universidad de Murcia
Abstract: Observational studies in the field of sport are complicated by the added difficulty of having to analyse multiple, complex events or behaviours that may last just a fraction of a second. In this study, we analyse three aspects related to the reliability of data collected in such a study. The first aim was to analyse and compare the reliability of data sets assessed quantitatively (calculation of kappa statistic) and qualitatively (consensus agreement method). The second aim was to describe how, by ensuring the alignment of events, we calculated the kappa statistic for the order parameter using SDIS-GSEQ software (version 5.1) for data sets containing different numbers of sequences. The third objective was to describe a new consultative procedure designed to remove the confusion generated by discordant data sets and improve the reliability of the data. The procedure is called "consultative" because it involves the participation of a new observer who is responsible for consulting the existing observations and deciding on the definitive result.
Note: Reproducció del document publicat a: https://doi.org/10.6018/analesps.32.2.213551
It is part of: Anales de Psicología, 2016, vol. 32, num. 2, p. 589-595
Related resource: https://doi.org/10.6018/analesps.32.2.213551
URI: http://hdl.handle.net/2445/107495
ISSN: 0212-9728
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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