DieTryin: An R package for data collection, automated data entry, and post-processing of network-structured economic games, social networks, and other roster-based dyadic data.
Automated data entry
Behavioral economics
Economic games
Peer report data
Social networks
Social relations
Journal
Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
accepted:
26
04
2021
pubmed:
4
8
2021
medline:
30
4
2022
entrez:
3
8
2021
Statut:
ppublish
Résumé
Researchers studying social networks and inter-personal sentiments in bounded or small-scale communities face a trade-off between the use of roster-based and free-recall/name-generator-based survey tools. Roster-based methods scale poorly with sample size, and can more easily lead to respondent fatigue; however, they generally yield higher quality data that are less susceptible to recall bias and that require less post-processing. Name-generator-based methods, in contrast, scale well with sample size and are less likely to lead to respondent fatigue. However, they may be more sensitive to recall bias, and they entail a large amount of highly error-prone post-processing after data collection in order to link elicited names to unique identifiers. Here, we introduce an R package, DieTryin, that allows for roster-based dyadic data to be collected and entered as rapidly as name-generator-based data; DieTryin can be used to run network-structured economic games, as well as collect and process standard social network data and round-robin Likert-scale peer ratings. DieTryin automates photograph standardization, survey tool compilation, and data entry. We present a complete methodological workflow using DieTryin to teach end-users its full functionality.
Identifiants
pubmed: 34341963
doi: 10.3758/s13428-021-01606-5
pii: 10.3758/s13428-021-01606-5
pmc: PMC9046375
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
611-631Informations de copyright
© 2021. The Author(s).
Références
Altmann, J (1974). Observational study of behavior: Sampling methods. Behaviour, 49(3–4), 227–266.
pubmed: 4597405
doi: 10.1163/156853974X00534
Amato, K R, Van Belle, S, & Wilkinson, B (2013). A comparison of scan and focal sampling for the description of wild primate activity, diet and intragroup spatial relationships. Folia Primatologica, 84(2), 87–101.
doi: 10.1159/000348305
Bahrick, H P, Bahrick, P O, & Wittlinger, R P (1975). Fifty years of memory for names and faces: A cross-sectional approach. Journal of Experimental Psychology, 104(1), 54.
doi: 10.1037/0096-3445.104.1.54
Barrett, B J, McElreath, R L, & Perry, S E (2017). Pay-off-biased social learning underlies the diffusion of novel extractive foraging traditions in a wild primate. Proceedings of the Royal Society B, 284(1856), 20170358.
pubmed: 28592681
pmcid: 5474070
doi: 10.1098/rspb.2017.0358
Barthelme, S (2019). imager: Image Processing Library Based on ‘CImg’. https://CRAN.R-project.org/package=imager . R package version 0.41.2.
Bell, D C, Belli-McQueen, B, & Haider, A (2007). Partner naming and forgetting: Recall of network members. Social Networks, 29(2), 279–299.
pubmed: 17940583
pmcid: 2031835
doi: 10.1016/j.socnet.2006.12.004
Bernard, H R, Killworth, P, Kronenfeld, D, & Sailer, L (1984). The problem of informant accuracy: The validity of retrospective data. Annual Review of Anthropology, 13(1), 495–517.
doi: 10.1146/annurev.an.13.100184.002431
Bernard, H R, Killworth, P D, & Sailer, L (1982). Informant accuracy in social-network data v. an experimental attempt to predict actual communication from recall data. Social Science Research, 11(1), 30–66.
doi: 10.1016/0049-089X(82)90006-0
Borgatti, S P, Mehra, A, Brass, D J, & Labianca, G (2009). Network analysis in the social sciences. Science, 323(5916), 892–895.
pubmed: 19213908
doi: 10.1126/science.1165821
Borgerhoff, M, Caro, T M, Chrisholm, J S, Dumont, J P, Hall, R L, Hinde, R A, & Ohtsuka, R (1985). The use of quantitative observational techniques in anthropology. Current Anthropology, 26 (3), 323–335.
doi: 10.1086/203277
Brewer, D D (2000). Forgetting in the recall-based elicitation of personal and social networks. Social Networks, 22(1), 29–43.
doi: 10.1016/S0378-8733(99)00017-9
Broesch, T, Crittenden, AN, Beheim, BA, Blackwell, AD, Bunce, JA, Colleran, H, ..., Mulder, MB (2020). Navigating cross-cultural research: Methodological and ethical considerations. Proceedings of the Royal Society B, 287(1935), 20201245. https://doi.org/10.1098/rspb.2020.1245
pubmed: 32962541
pmcid: 7542829
doi: 10.1098/rspb.2020.1245
Bruno, J, Ingo, J, & Frese, D (2020). Pexels: The best free stock photos & videos shared by talented creators https://www.pexels.com
Cassar, A (2007). Coordination and cooperation in local, random and small world networks: Experimental evidence. Games and Economic Behavior, 58(2), 209–230.
doi: 10.1016/j.geb.2006.03.008
Centola, D (2010). The spread of behavior in an online social network experiment. Science, 329 (5996), 1194–1197.
pubmed: 20813952
doi: 10.1126/science.1185231
Charness, G, Feri, F, Meléndez-Jiménez, M A, & Sutter, M (2014). Experimental games on networks: Underpinnings of behavior and equilibrium selection. Econometrica, 82(5), 1615–1670.
doi: 10.3982/ECTA11781
Colman, AM (2016). Game theory and experimental games: The study of strategic interaction. Elsevier.
Crittenden, A N, & Zes, D A (2015). Food sharing among Hadza hunter-gatherer children. PloS One, 10(7), e0131996.
pubmed: 26151637
pmcid: 4494808
doi: 10.1371/journal.pone.0131996
Cutrona, C E (1986). Objective determinants of perceived social support. Journal of Personality and Social Psychology, 50(2), 349.
pubmed: 3701582
doi: 10.1037/0022-3514.50.2.349
Dahl, DB, Scott, D, Roosen, C, Magnusson, A, & Swinton, J (2019). xtable: Export Tables to LaTeX or HTML. https://CRAN.R-project.org/package=xtable . R package version 1.8-4.
Davis, G H, Crofoot, M C, & Farine, D R (2018). Estimating the robustness and uncertainty of animal social networks using different observational methods. Animal Behaviour, 141, 29–44.
doi: 10.1016/j.anbehav.2018.04.012
DeTroy, S E, Ross, C T, Cronin, K A, Van Leeuwen, E J, & Haun, D B (2021). Cofeeding tolerance in chimpanzees depends on group composition: A longitudinal study across four communities. Iscience, 24(3), 102175.
pubmed: 33733060
pmcid: 7940988
doi: 10.1016/j.isci.2021.102175
Dijkstra, J K, Cillessen, A H, & Borch, C (2013). Popularity and adolescent friendship networks: Selection and influence dynamics. Developmental Psychology, 49(7), 1242.
pubmed: 22985296
doi: 10.1037/a0030098
Ferligoj, A, & Hlebec, V (1999). Evaluation of social network measurement instruments. Social Networks, 21(2), 111–130.
doi: 10.1016/S0378-8733(99)00007-6
Frank, O (2005). Network sampling and model fitting. In PJ Carrington, & J Scott (Eds.) Models and methods in social network analysis (pp. 31–56). Cambridge: Cambridge University Press.
Franz, M, & Nunn, C L (2009). Network-based diffusion analysis: A new method for detecting social learning. Proceedings of the Royal Society B: Biological Sciences, 276(1663), 1829–1836. The Royal Society London.
pubmed: 19324789
pmcid: 2674490
doi: 10.1098/rspb.2008.1824
Freeman, L C (1992). Filling in the blanks: A theory of cognitive categories and the structure of social affiliation. Social Psychology Quarterly, 118–127.
Gervais, M M (2017). RICH economic games for networked relationships and communities: Development and preliminary validation in Yasawa, Fiji. Field Methods, 29(2), 113–129.
doi: 10.1177/1525822X16643709
Gervais, M M, & Fessler, D M (2017). On the deep structure of social affect: Attitudes, emotions, sentiments, and the case of “contempt”. Behavioral and Brain Sciences, 40, e225. https://doi.org/10.1017/S0140525X16000352 .
doi: 10.1017/S0140525X16000352
pubmed: 27001168
Granovetter, M (1976). Network sampling: Some first steps. American Journal of Sociology, 81 (6), 1287–1303.
doi: 10.1086/226224
Hagen, E H, & Hammerstein, P (2006). Game theory and human evolution: A critique of some recent interpretations of experimental games. Theoretical Population Biology, 69(3), 339–348.
pubmed: 16458945
doi: 10.1016/j.tpb.2005.09.005
Hammer, M (1984). Explorations into the meaning of social network interview data. Social Networks, 6(4), 341–371.
doi: 10.1016/0378-8733(84)90008-X
Harling, G, Perkins, J M, Gómez-Olivé, F X, Morris, K, Wagner, R G, Montana, L, ..., Berkman, L (2018). Interviewer-driven variability in social network reporting: Results from health and aging in Africa: A longitudinal study of an INDEPTH community (HAALSI) in South Africa. Field Methods, 30 (2), 140–154.
pubmed: 30618492
pmcid: 6320223
doi: 10.1177/1525822X18769498
Henrich, J, Boyd, R, Bowles, S, Camerer, C, Fehr, E, Gintis, H, & McElreath, R (2001). In search of Homo Economicus: Behavioral experiments in 15 small-scale societies. American Economic Review, 91(2), 73–78.
doi: 10.1257/aer.91.2.73
Henrich, J, Boyd, R, Bowles, S, Camerer, C, Fehr, E, Gintis, H, ..., et al. (2005). “Economic man” in cross-cultural perspective: Behavioral experiments in 15 small-scale societies. Behavioral and Brain Sciences, 28(6), 795–815.
doi: 10.1017/S0140525X05000142
pubmed: 16372952
Henrich, J, Heine, S J, & Norenzayan, A (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–83.
doi: 10.1017/S0140525X0999152X
pubmed: 20550733
Hill, K R, Wood, B M, Baggio, J, Hurtado, A M, & Boyd, R T (2014). Hunter-gatherer inter-band interaction rates: Implications for cumulative culture. PloS One, 9(7), e102806.
pubmed: 25047714
pmcid: 4105570
doi: 10.1371/journal.pone.0102806
Hlebec, V (1992). Recall versus recognition: Comparison of the two alternative procedures for collecting social network data. In A Ferligoj, & A Kramberger (Eds.) Developments in statistics and methodology, (Vol. 9 pp. 121–128).
Holt-Lunstad, J, Smith, T B, & Layton, J B (2010). Social relationships and mortality risk: A meta-analytic review. PLoS Medicine, 7(7), e1000316.
pubmed: 20668659
pmcid: 2910600
doi: 10.1371/journal.pmed.1000316
Hooper, P L, DeDeo, S, Caldwell Hooper, A E, Gurven, M, & Kaplan, H S (2013). Dynamical structure of a traditional Amazonian social network. Entropy, 15(11), 4932–4955.
pubmed: 25053880
doi: 10.3390/e15114932
Human Nature Lab (2020a). Breadboard. Yale Institute for Network Science https://breadboard.yale.edu/
Human Nature Lab (2020b). Trellis. Yale Institute for Network Science https://trellis.yale.edu/
Kashy, D A, & Kenny, D A (1990). Do you know whom you were with a week ago Friday? A re-analysis of the Bernard, Killworth, and Sailer studies. Social Psychology Quarterly, 55–61.
Kearns, M, Judd, S, Tan, J, & Wortman, J (2009). Behavioral experiments on biased voting in networks. Proceedings of the National Academy of Sciences, 106(5), 1347–1352.
doi: 10.1073/pnas.0808147106
Koster, J M, Grote, M N, & Winterhalder, B (2013). Effects on household labor of temporary out-migration by male household heads in Nicaragua and Peru: An analysis of spot-check time allocation data using mixed-effects models. Human Ecology, 41(2), 221–237.
doi: 10.1007/s10745-012-9549-5
Koster, J M, & Leckie, G (2014). Food sharing networks in lowland Nicaragua: An application of the social relations model to count data. Social Networks, 38, 100–110.
doi: 10.1016/j.socnet.2014.02.002
Krackhardt, D (1987). Cognitive social structures. Social Networks, 9(2), 109–134.
doi: 10.1016/0378-8733(87)90009-8
Krackhardt, D, & Kilduff, M (1999). Whether close or far: Social distance effects on perceived balance in friendship networks. Journal of Personality and Social Psychology, 76(5), 770.
doi: 10.1037/0022-3514.76.5.770
Laumann, E O, Marsden, P V, & Prensky, D (1989). The boundary specification problem in network analysis. Research Methods in Social Network Analysis, 61, 87.
Lew-Levy, S, Kissler, S M, Boyette, A H, Crittenden, A N, Mabulla, I A, & Hewlett, B S (2020). Who teaches children to forage? Exploring the primacy of child-to-child teaching among Hadza and BaYaka Hunter-Gatherers of Tanzania and Congo. Evolution and Human Behavior, 41(1), 12–22.
doi: 10.1016/j.evolhumbehav.2019.07.003
Marin, A (2004). Are respondents more likely to list alters with certain characteristics?: Implications for name generator data. Social Networks, 26(4), 289–307.
doi: 10.1016/j.socnet.2004.06.001
Marsden, P (1990). Network data and measurement. Annual Review of Sociology, 16, 435–463.
doi: 10.1146/annurev.so.16.080190.002251
Marsden, P V (2005). Recent developments in network measurement. Models and Methods in Social Network Analysis, 8, 30.
Moody, J, et al. (2007). To tell the truth: Measuring concordance in multiply reported network data. Social Networks, 29(1), 44–58.
doi: 10.1016/j.socnet.2005.11.009
Nielsen, M, & Haun, D (2016). Why developmental psychology is incomplete without comparative and cross-cultural perspectives. Philosophical Transactions of the Royal Society B, 371(1686), 20150071.
doi: 10.1098/rstb.2015.0071
Nielsen, M, Haun, D, Kärtner, J, & Legare, C H (2017). The persistent sampling bias in developmental psychology: A call to action. Journal of Experimental Child Psychology, 162, 31–38.
pubmed: 28575664
doi: 10.1016/j.jecp.2017.04.017
ODK Team (2020). Open data kit https://opendatakit.org/
Ohtsuki, H, Hauert, C, Lieberman, E, & Nowak, M A (2006). A simple rule for the evolution of cooperation on graphs and social networks. Nature, 441(7092), 502–505.
pubmed: 16724065
pmcid: 2430087
doi: 10.1038/nature04605
O’Reilly, P (1988). Methodological issues in social support and social network research. Social Science & Medicine, 26(8), 863–873.
doi: 10.1016/0277-9536(88)90179-7
Pisor, A C, Gervais, M M, Purzycki, B G, & Ross, C T (2020). Preferences and constraints: The value of economic games for studying human behaviour. Royal Society Open Science, 7(6), 192090.
pubmed: 32742683
pmcid: 7353969
doi: 10.1098/rsos.192090
Power, E A (2017). Social support networks and religiosity in rural South India. Nature Human Behaviour, 1(3), 1–6.
doi: 10.1038/s41562-017-0057
Purzycki, B G, Apicella, C, Atkinson, Q D, Cohen, E, McNamara, R A, Willard, A K, ..., Henrich, J (2016). Moralistic gods, supernatural punishment and the expansion of human sociality. Nature, 530 (7590), 327.
pubmed: 26863190
doi: 10.1038/nature16980
Pustejovsky, J E, & Spillane, J P (2009). Question-order effects in social network name generators. Social Networks, 31(4), 221–229.
doi: 10.1016/j.socnet.2009.06.001
R Core Team (2019). R: a language and environment for statistical computing, R Foundation for Statistical Computing, Vienna. https://www.R-project.org/
Rand, D G, Arbesman, S, & Christakis, N A (2011). Dynamic social networks promote cooperation in experiments with humans. Proceedings of the National Academy of Sciences, 108(48), 19193–19198.
doi: 10.1073/pnas.1108243108
Rand, D G, Nowak, M A, Fowler, J H, & Christakis, N A (2014). Static network structure can stabilize human cooperation. Proceedings of the National Academy of Sciences, 111(48), 17093–17098.
doi: 10.1073/pnas.1400406111
Read, J M, Eames, K T, & Edmunds, W J (2008). Dynamic social networks and the implications for the spread of infectious disease. Journal of The Royal Society Interface, 5(26), 1001–1007.
pmcid: 2607433
doi: 10.1098/rsif.2008.0013
pubmed: 18319209
Ready, E, Habecker, P, Abadie, R, Dávila-Torres, C A, Rivera-Villegas, A, Khan, B, & Dombrowski, K (2020a). Comparing social network structures generated through sociometric and ethnographic methods. Field Methods, 32(4), 416–432.
doi: 10.1177/1525822X20945499
Ready, E, Habecker, P, Abadie, R, Khan, B, & Dombrowski, K (2020b). Competing forces of withdrawal and disease avoidance in the risk networks of people who inject drugs. PloS One, 15(6), e0235124.
pubmed: 32569332
pmcid: 7307734
doi: 10.1371/journal.pone.0235124
Ready, E, & Power, E A (2018). Why wage earners hunt: Food sharing, social structure, and influence in an Arctic mixed economy. Current Anthropology, 59(1), 74–97.
doi: 10.1086/696018
Romney, A K, & Weller, S C (1984). Predicting informant accuracy from patterns of recall among individuals. Social Networks, 6(1), 59–77.
doi: 10.1016/0378-8733(84)90004-2
Rucas, S L, Gurven, M, Kaplan, H, & Winking, J (2010). The social strategy game. Human Nature, 21(1), 1–18.
pubmed: 20526460
doi: 10.1007/s12110-010-9079-z
Rucas, S L, Gurven, M, Kaplan, H, Winking, J, Gangestad, S, & Crespo, M (2006). Female intrasexual competition and reputational effects on attractiveness among the Tsimane of Bolivia. Evolution and Human Behavior, 27(1), 40–52.
doi: 10.1016/j.evolhumbehav.2005.07.001
Salathé, M, Kazandjieva, M, Lee, J W, Levis, P, Feldman, M W, & Jones, J H (2010). A high-resolution human contact network for infectious disease transmission. Proceedings of the National Academy of Sciences, 107(51), 22020–22025.
doi: 10.1073/pnas.1009094108
Silk, J B, Beehner, J C, Bergman, T J, Crockford, C, Engh, A L, Moscovice, L R, ..., Cheney, D L (2009). The benefits of social capital: Close social bonds among female baboons enhance offspring survival. Proceedings of the Royal Society B, 276(1670), 3099–3104.
pubmed: 19515668
pmcid: 2817129
doi: 10.1098/rspb.2009.0681
Smith, K P, & Christakis, N A (2008). Social networks and health. Annual Review of Sociology, 34, 405–429.
doi: 10.1146/annurev.soc.34.040507.134601
Steorts, RC, Hall, R, & Fienberg, SE (2016). A Bayesian approach to graphical record linkage and deduplication. Journal of the American Statistical Association, 111(516), 1660–1672. https://doi.org/10.1080/01621459.2015.1105807
doi: 10.1080/01621459.2015.1105807
Sudman, S (1985). Experiments in the measurement of the size of social networks. Social Networks, 7(2), 127–151.
doi: 10.1016/0378-8733(85)90002-4
Suri, S, & Watts, D J (2011). Cooperation and contagion in web-based, networked public goods experiments. PloS One, 6(3), e16836.
pubmed: 21412431
pmcid: 3055889
doi: 10.1371/journal.pone.0016836
van Zalk, M H, Nestler, S, Geukes, K, Hutteman, R, & Back, M D (2020). The codevelopment of extraversion and friendships: Bonding and behavioral interaction mechanisms in friendship networks. Journal of Personality and Social Psychology, 118(6), 1269.
pubmed: 31380681
doi: 10.1037/pspp0000253
Venables, W N, & Ripley, B D. (2002) Modern Applied Statistics with S, 4th edn. New York: Springer.
doi: 10.1007/978-0-387-21706-2
von Rueden, C R, Redhead, D, O’Gorman, R, Kaplan, H, & Gurven, M (2019). The dynamics of men’s cooperation and social status in a small-scale society. Proceedings of the Royal Society B, 286(1908), 20191367.
pubmed: 31387506
pmcid: 6710581
doi: 10.1098/rspb.2019.1367
Wood, B M, Harris, J A, Raichlen, D A, & et al. (2021). Gendered movement ecology and landscape use in Hadza hunter-gatherers. Nat Hum Behav, 5, 436–446.
pubmed: 33398143
pmcid: 8060163
doi: 10.1038/s41562-020-01002-7