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We present the amount of bias in structural and compositional network characteristics connected to applying these strategies as well as the potential study time gain for every possible network size (2 to 24 alters) as a proxy for respondent burden reduction. Our results can aid researchers designing a personal network study to balance respondent burden and bias in estimates for a range of compositional and structural network characteristics.\n\nThis folder contains the analysis scripts for the analyses presented in the paper. This includes: \n1) data preparation (R Markdown), \n2) emulations and error calculation for dropping alters completely (R-Markdown), \n3) emulations and error calculations for randomly picking a subsample of all generated alters (R-Scripts), \n4) summarizing errors and plotting them for randomly picking a subsample of all generated alters (R-Markdown), and\n5) the accompanying shiny app (R-Script).\n6) a figure on how the scripts relate to each other"},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2021-01-20"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"personal networks"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"network delineation"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"respondent burden"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"parameter bias"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Stadel, M., & Stulp, G. 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Social Networks, 70, 16-24. https://doi.org/10.1016/j.socnet.2021.10.007"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1016/j.socnet.2021.10.007"}}]},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English"]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Elsenga, Christina"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2020-06-16"}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/JNVWNH"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"1.1"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:6e6abf0a-5ad0-4ee6-b5ad-42ffa331963e"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-cc963b48-bdb3-482b-ab08-930f63121927"}]}},"files":[{"description":"Figure displaying how all scripts relate to each other.","label":"BalancingBias&Burden_Scripts.png","restricted":false,"version":1,"datasetVersionId":10052,"dataFile":{"id":47554,"persistentId":"","filename":"BalancingBias&Burden_Scripts.png","contentType":"image/png","friendlyType":"PNG Image","filesize":29651,"description":"Figure displaying how all scripts relate to each other.","storageIdentifier":"surf://store:1771fbc140b-ebb1b00a5556","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"9941a744b4c7f89737baa45c7a6181b2f98e4ebb"},"tabularData":false,"creationDate":"2021-01-20","publicationDate":"2021-05-26","lastUpdateTime":"2021-12-01T13:48:44Z","fileAccessRequest":false}},{"label":"Data_Preparation.html","restricted":false,"version":1,"datasetVersionId":10052,"dataFile":{"id":47557,"persistentId":"","filename":"Data_Preparation.html","contentType":"text/html","friendlyType":"HTML","filesize":1254713,"storageIdentifier":"surf://store:1771fb93113-bea6091c97b9","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"ca8d37a7ab5ea3cc5ceed6cc02d73e5a8734d97e"},"tabularData":false,"creationDate":"2021-01-20","publicationDate":"2021-05-26","lastUpdateTime":"2021-12-01T13:48:44Z","fileAccessRequest":false}},{"description":"Script to clean data, calculate study time gains and all network measures.","label":"Data_Preparation.Rmd","restricted":false,"version":1,"datasetVersionId":10052,"dataFile":{"id":47556,"persistentId":"","filename":"Data_Preparation.Rmd","contentType":"application/octet-stream","friendlyType":"Unknown","filesize":41902,"description":"Script to clean data, calculate study time gains and all network measures.","storageIdentifier":"surf://store:1771fb92de6-604e0eea91ba","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"0abe17cbe5e9e30729134ea6c041142bcc28e914"},"tabularData":false,"creationDate":"2021-01-20","publicationDate":"2021-05-26","lastUpdateTime":"2021-12-01T13:48:44Z","fileAccessRequest":false}},{"label":"Dropping_Alters.html","restricted":false,"version":1,"datasetVersionId":10052,"dataFile":{"id":47566,"persistentId":"","filename":"Dropping_Alters.html","contentType":"text/html","friendlyType":"HTML","filesize":1344090,"storageIdentifier":"surf://store:1772abc60b6-649cf9583e1e","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"49cd54c8023c1c91121e3aefeb0205f80234d383"},"tabularData":false,"creationDate":"2021-01-22","publicationDate":"2021-05-26","lastUpdateTime":"2021-12-01T13:48:44Z","fileAccessRequest":false}},{"description":"Emulations, error calculations when dropping alters.","label":"Dropping_Alters.Rmd","restricted":false,"version":1,"datasetVersionId":10052,"dataFile":{"id":47567,"persistentId":"","filename":"Dropping_Alters.Rmd","contentType":"application/octet-stream","friendlyType":"Unknown","filesize":63487,"description":"Emulations, error calculations when dropping alters.","storageIdentifier":"surf://store:1772abc61a7-3304d1afb9cb","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"2e54419ad0d7c49e598b0280dc5c53bf09a7fa56"},"tabularData":false,"creationDate":"2021-01-22","publicationDate":"2021-05-26","lastUpdateTime":"2021-12-01T13:48:44Z","fileAccessRequest":false}},{"description":"Error calculations for the MGRI strategy. 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