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A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions

Behavioural coding is time-intensive and laborious. Thin slice sampling provides an alternative approach, aiming to alleviate the coding burden. However, little is understood about whether different behaviours coded over thin slices are comparable to those same behaviours over entire interactions. T...

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Autores principales: Burgess, Romana, Costantini, Ilaria, Bornstein, Marc H., Campbell, Amy, Cordero Vega, Miguel A., Culpin, Iryna, Dingsdale, Hayley, John, Rosalind M., Kennedy, Mari-Rose, Tyson, Hannah R., Pearson, Rebecca M., Nabney, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163135/
https://www.ncbi.nlm.nih.gov/pubmed/37162792
http://dx.doi.org/10.1007/s10919-022-00420-7
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author Burgess, Romana
Costantini, Ilaria
Bornstein, Marc H.
Campbell, Amy
Cordero Vega, Miguel A.
Culpin, Iryna
Dingsdale, Hayley
John, Rosalind M.
Kennedy, Mari-Rose
Tyson, Hannah R.
Pearson, Rebecca M.
Nabney, Ian
author_facet Burgess, Romana
Costantini, Ilaria
Bornstein, Marc H.
Campbell, Amy
Cordero Vega, Miguel A.
Culpin, Iryna
Dingsdale, Hayley
John, Rosalind M.
Kennedy, Mari-Rose
Tyson, Hannah R.
Pearson, Rebecca M.
Nabney, Ian
author_sort Burgess, Romana
collection PubMed
description Behavioural coding is time-intensive and laborious. Thin slice sampling provides an alternative approach, aiming to alleviate the coding burden. However, little is understood about whether different behaviours coded over thin slices are comparable to those same behaviours over entire interactions. To provide quantitative evidence for the value of thin slice sampling for a variety of behaviours. We used data from three populations of parent-infant interactions: mother-infant dyads from the Grown in Wales (GiW) cohort (n = 31), mother-infant dyads from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (n = 14), and father-infant dyads from the ALSPAC cohort (n = 11). Mean infant ages were 13.8, 6.8, and 7.1 months, respectively. Interactions were coded using a comprehensive coding scheme comprised of 11–14 behavioural groups, with each group comprised of 3–13 mutually exclusive behaviours. We calculated frequencies of verbal and non-verbal behaviours, transition matrices (probability of transitioning between behaviours, e.g., from looking at the infant to looking at a distraction) and stationary distributions (long-term proportion of time spent within behavioural states) for 15 thin slices of full, 5-min interactions. Measures drawn from the full sessions were compared to those from 1-, 2-, 3- and 4-min slices. We identified many instances where thin slice sampling (i.e., < 5 min) was an appropriate coding method, although we observed significant variation across different behaviours. We thereby used this information to provide detailed guidance to researchers regarding how long to code for each behaviour depending on their objectives.
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spelling pubmed-101631352023-05-07 A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions Burgess, Romana Costantini, Ilaria Bornstein, Marc H. Campbell, Amy Cordero Vega, Miguel A. Culpin, Iryna Dingsdale, Hayley John, Rosalind M. Kennedy, Mari-Rose Tyson, Hannah R. Pearson, Rebecca M. Nabney, Ian J Nonverbal Behav Original Paper Behavioural coding is time-intensive and laborious. Thin slice sampling provides an alternative approach, aiming to alleviate the coding burden. However, little is understood about whether different behaviours coded over thin slices are comparable to those same behaviours over entire interactions. To provide quantitative evidence for the value of thin slice sampling for a variety of behaviours. We used data from three populations of parent-infant interactions: mother-infant dyads from the Grown in Wales (GiW) cohort (n = 31), mother-infant dyads from the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (n = 14), and father-infant dyads from the ALSPAC cohort (n = 11). Mean infant ages were 13.8, 6.8, and 7.1 months, respectively. Interactions were coded using a comprehensive coding scheme comprised of 11–14 behavioural groups, with each group comprised of 3–13 mutually exclusive behaviours. We calculated frequencies of verbal and non-verbal behaviours, transition matrices (probability of transitioning between behaviours, e.g., from looking at the infant to looking at a distraction) and stationary distributions (long-term proportion of time spent within behavioural states) for 15 thin slices of full, 5-min interactions. Measures drawn from the full sessions were compared to those from 1-, 2-, 3- and 4-min slices. We identified many instances where thin slice sampling (i.e., < 5 min) was an appropriate coding method, although we observed significant variation across different behaviours. We thereby used this information to provide detailed guidance to researchers regarding how long to code for each behaviour depending on their objectives. Springer US 2023-01-19 2023 /pmc/articles/PMC10163135/ /pubmed/37162792 http://dx.doi.org/10.1007/s10919-022-00420-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Burgess, Romana
Costantini, Ilaria
Bornstein, Marc H.
Campbell, Amy
Cordero Vega, Miguel A.
Culpin, Iryna
Dingsdale, Hayley
John, Rosalind M.
Kennedy, Mari-Rose
Tyson, Hannah R.
Pearson, Rebecca M.
Nabney, Ian
A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions
title A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions
title_full A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions
title_fullStr A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions
title_full_unstemmed A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions
title_short A Quantitative Evaluation of Thin Slice Sampling for Parent–Infant Interactions
title_sort quantitative evaluation of thin slice sampling for parent–infant interactions
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163135/
https://www.ncbi.nlm.nih.gov/pubmed/37162792
http://dx.doi.org/10.1007/s10919-022-00420-7
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