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Simulation Theory Applied to Direct Systematic Observation

Observational studies entail making several decisions before data collection, such as the observational design to use, the sampling of sessions within the observational period, the need for time sampling within the observation sessions, as well as the observation recording procedures to use. The foc...

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Detalles Bibliográficos
Autores principales: Manolov, Rumen, Losada, José L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462976/
https://www.ncbi.nlm.nih.gov/pubmed/28642721
http://dx.doi.org/10.3389/fpsyg.2017.00905
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author Manolov, Rumen
Losada, José L.
author_facet Manolov, Rumen
Losada, José L.
author_sort Manolov, Rumen
collection PubMed
description Observational studies entail making several decisions before data collection, such as the observational design to use, the sampling of sessions within the observational period, the need for time sampling within the observation sessions, as well as the observation recording procedures to use. The focus of the present article is on observational recording procedures different from continuous recording (i.e., momentary time sampling, partial and whole interval recording). The main aim is to develop an online software application, constructed using R and the Shiny package, on the basis of simulations using the alternating renewal process (a model implemented in the ARPobservation package). The application offers graphical representations that can be useful to both university students constructing knowledge on Observational Methodology and to applied researchers planning to use discontinuous recording in their studies, because it helps identifying the conditions (e.g., interval length, average duration of the behavior of interest) in which the prevalence of the target behavior is expected to be estimated with less bias or no bias and with more efficiency. The estimation of frequency is another topic covered.
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spelling pubmed-54629762017-06-22 Simulation Theory Applied to Direct Systematic Observation Manolov, Rumen Losada, José L. Front Psychol Psychology Observational studies entail making several decisions before data collection, such as the observational design to use, the sampling of sessions within the observational period, the need for time sampling within the observation sessions, as well as the observation recording procedures to use. The focus of the present article is on observational recording procedures different from continuous recording (i.e., momentary time sampling, partial and whole interval recording). The main aim is to develop an online software application, constructed using R and the Shiny package, on the basis of simulations using the alternating renewal process (a model implemented in the ARPobservation package). The application offers graphical representations that can be useful to both university students constructing knowledge on Observational Methodology and to applied researchers planning to use discontinuous recording in their studies, because it helps identifying the conditions (e.g., interval length, average duration of the behavior of interest) in which the prevalence of the target behavior is expected to be estimated with less bias or no bias and with more efficiency. The estimation of frequency is another topic covered. Frontiers Media S.A. 2017-06-08 /pmc/articles/PMC5462976/ /pubmed/28642721 http://dx.doi.org/10.3389/fpsyg.2017.00905 Text en Copyright © 2017 Manolov and Losada. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Manolov, Rumen
Losada, José L.
Simulation Theory Applied to Direct Systematic Observation
title Simulation Theory Applied to Direct Systematic Observation
title_full Simulation Theory Applied to Direct Systematic Observation
title_fullStr Simulation Theory Applied to Direct Systematic Observation
title_full_unstemmed Simulation Theory Applied to Direct Systematic Observation
title_short Simulation Theory Applied to Direct Systematic Observation
title_sort simulation theory applied to direct systematic observation
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5462976/
https://www.ncbi.nlm.nih.gov/pubmed/28642721
http://dx.doi.org/10.3389/fpsyg.2017.00905
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