2021
DOI: 10.5281/zenodo.4742375
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zhgarfield/content-and-structure-of-reputation-domains: Preprint manuscript of the publication "The content and structure of reputation domains across human societies: a view from the evolutionary social sciences"

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“…Our sample of eHRAF paragraphs varies considerably in relevant information, ranging from lists of objects to detailed descriptions of objects and their contexts of use (see the Supplementary Material for examples). To maximize our sample size while minimizing subjective bias in our coding, we followed other eHRAF studies (e.g., Garfield et al, 2021 ) and best-practice guidelines for working with databases of this kind ( Watts et al, 2022 ) in developing a binary coding scheme using broad and operationalizable definitions from the existing literature on children’s play and use of objects. This process resulted in five coded categories:…”
Section: Methodsmentioning
confidence: 99%
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“…Our sample of eHRAF paragraphs varies considerably in relevant information, ranging from lists of objects to detailed descriptions of objects and their contexts of use (see the Supplementary Material for examples). To maximize our sample size while minimizing subjective bias in our coding, we followed other eHRAF studies (e.g., Garfield et al, 2021 ) and best-practice guidelines for working with databases of this kind ( Watts et al, 2022 ) in developing a binary coding scheme using broad and operationalizable definitions from the existing literature on children’s play and use of objects. This process resulted in five coded categories:…”
Section: Methodsmentioning
confidence: 99%
“…We also included a random effect for continent, which accounts for the over-representation of North American hunter-gatherers (52% of sampled societies) inherent to eHRAF. To estimate the percent of objects per category of interest, we first follow Garfield et al (2021) and Lightner et al (2021) in fitting intercept-only models. To further examine our data, we then fit five additional models using the index variable approach ( McElreath, 2015 ).…”
Section: Methodsmentioning
confidence: 99%