开放锚定任务数据集:来自96个锚定效应研究的锚定估计

L. Röseler, Lucia Weber, Katharina Helgerth, Elena Stich, Miriam Günther, Paulina Tegethoff, Felix Wagner, M. Antunovic, F. Barrera-Lemarchand, E. Halali, K. Ioannidis, O. Genschow, N. Milstein, D. Molden, F. Papenmeier, Z. Pavlovic, R. Rinn, M. Schreiter, M. F. Zimdahl, Š. Bahník, C. Bermeitinger, F. N. Blower, H. L. Bögler, P. Burgmer, N. Cheek, L. Dorsch, S. Fels, M. Frech, L. Freira, A. Harris, J. Häusser, M. Hedgebeth, M. Henkel, D. Horvath, P. Intelmann, A. Klamar, E. Knappe, L.-M. Köppel, S. M. Krueger, S. Lagator, F. López-Boo, J. Navajas, J. Norem, J. Novak, Y. Onuki, E. Page, T. Rebholz, M. Sartorio, S. Schindler, D. Shanks, Michael Siems, P. Stäglich, M. Starkulla, M. Stitz, T. Straube, K. Thies, E. Thum, K. Ueda, M. Undorf, D. Urlichich, M. Vadillo, H. Wolf, A. Zhou, A. Schütz
{"title":"开放锚定任务数据集:来自96个锚定效应研究的锚定估计","authors":"L. Röseler, Lucia Weber, Katharina Helgerth, Elena Stich, Miriam Günther, Paulina Tegethoff, Felix Wagner, M. Antunovic, F. Barrera-Lemarchand, E. Halali, K. Ioannidis, O. Genschow, N. Milstein, D. Molden, F. Papenmeier, Z. Pavlovic, R. Rinn, M. Schreiter, M. F. Zimdahl, Š. Bahník, C. Bermeitinger, F. N. Blower, H. L. Bögler, P. Burgmer, N. Cheek, L. Dorsch, S. Fels, M. Frech, L. Freira, A. Harris, J. Häusser, M. Hedgebeth, M. Henkel, D. Horvath, P. Intelmann, A. Klamar, E. Knappe, L.-M. Köppel, S. M. Krueger, S. Lagator, F. López-Boo, J. Navajas, J. Norem, J. Novak, Y. Onuki, E. Page, T. Rebholz, M. Sartorio, S. Schindler, D. Shanks, Michael Siems, P. Stäglich, M. Starkulla, M. Stitz, T. Straube, K. Thies, E. Thum, K. Ueda, M. Undorf, D. Urlichich, M. Vadillo, H. Wolf, A. Zhou, A. Schütz","doi":"10.5334/jopd.67","DOIUrl":null,"url":null,"abstract":"People’s estimates are biased toward previously considered numbers (anchoring). We have aggregated all available data from anchoring studies that included at least two anchors into one large dataset. Data were standardized to comprise one estimate per row, coded according to a wide range of variables, and are available for download and analyses online (https://metaanalyses.shinyapps.io/OpAQ/). Because the dataset includes both original and meta-data it allows for fine-grained analyses (e.g., correlations of estimates for different tasks) but also for meta-analyses (e.g., effect sizes for anchoring effects).","PeriodicalId":91028,"journal":{"name":"Journal of open psychology data","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Open Anchoring Quest Dataset: Anchored Estimates from 96 Studies on Anchoring Effects\",\"authors\":\"L. Röseler, Lucia Weber, Katharina Helgerth, Elena Stich, Miriam Günther, Paulina Tegethoff, Felix Wagner, M. Antunovic, F. Barrera-Lemarchand, E. Halali, K. Ioannidis, O. Genschow, N. Milstein, D. Molden, F. Papenmeier, Z. Pavlovic, R. Rinn, M. Schreiter, M. F. Zimdahl, Š. Bahník, C. Bermeitinger, F. N. Blower, H. L. Bögler, P. Burgmer, N. Cheek, L. Dorsch, S. Fels, M. Frech, L. Freira, A. Harris, J. Häusser, M. Hedgebeth, M. Henkel, D. Horvath, P. Intelmann, A. Klamar, E. Knappe, L.-M. Köppel, S. M. Krueger, S. Lagator, F. López-Boo, J. Navajas, J. Norem, J. Novak, Y. Onuki, E. Page, T. Rebholz, M. Sartorio, S. Schindler, D. Shanks, Michael Siems, P. Stäglich, M. Starkulla, M. Stitz, T. Straube, K. Thies, E. Thum, K. Ueda, M. Undorf, D. Urlichich, M. Vadillo, H. Wolf, A. Zhou, A. Schütz\",\"doi\":\"10.5334/jopd.67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"People’s estimates are biased toward previously considered numbers (anchoring). We have aggregated all available data from anchoring studies that included at least two anchors into one large dataset. Data were standardized to comprise one estimate per row, coded according to a wide range of variables, and are available for download and analyses online (https://metaanalyses.shinyapps.io/OpAQ/). Because the dataset includes both original and meta-data it allows for fine-grained analyses (e.g., correlations of estimates for different tasks) but also for meta-analyses (e.g., effect sizes for anchoring effects).\",\"PeriodicalId\":91028,\"journal\":{\"name\":\"Journal of open psychology data\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of open psychology data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5334/jopd.67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open psychology data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5334/jopd.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人们的估计偏向于先前考虑的数字(锚定)。我们将包括至少两个锚点的锚定研究的所有可用数据汇总到一个大数据集中。数据被标准化,每行包含一个估计,根据广泛的变量进行编码,并可在线下载和分析(https://metaanalyses.shinyapps.io/OpAQ/)。因为数据集包括原始数据和元数据,所以它允许进行细粒度分析(例如,不同任务估计的相关性),也允许进行元分析(例如,锚定效应的效应大小)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Open Anchoring Quest Dataset: Anchored Estimates from 96 Studies on Anchoring Effects
People’s estimates are biased toward previously considered numbers (anchoring). We have aggregated all available data from anchoring studies that included at least two anchors into one large dataset. Data were standardized to comprise one estimate per row, coded according to a wide range of variables, and are available for download and analyses online (https://metaanalyses.shinyapps.io/OpAQ/). Because the dataset includes both original and meta-data it allows for fine-grained analyses (e.g., correlations of estimates for different tasks) but also for meta-analyses (e.g., effect sizes for anchoring effects).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
13 weeks
期刊最新文献
Data from “A Registered Report Testing the Effect of Sleep on DRM False Memory: Greater Lure and Veridical Recall but Fewer Intrusions After Sleep” Data from the Paper Entitled “Application of a Bayesian Approach for Exploring the Impact of Syllable Frequency in Handwritten Picture Naming” A New Procedure and Stimulus Set for Examining Cross-Modality Mental Rotation Preliminary Data from the Small World of Singlish Words Project: Examining Responses to Common Singlish Words A Dataset of 108 Novel Noun-Noun Compound Words with Active and Passive Interpretation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1