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<h1>WEekly Learn Open Science Team</h1> <p>This project is for documenting of the the WE LOST.</p> <p>WE LOST(Weekly Learning Open Science Team)是OpenScience举办的一系列周末开放科学活动,分享主题涵盖效应量与统计功效、数据分析与管理、开放科学(预注册、重复性危机)及相关统计测量内容。</p> <p>本项目详细分类与存储文件如下(前几期部分材料有缺失):</p> <p><strong>一、数据分析与管理</strong></p> <p><em>WE LOST #2</em></p> <p>题目:R入门介绍及数据整理</p> <p>报告人:纪学君(University of British Columbia) <strong>(缺失)</strong></p> <p><em>WE LOST #4</em></p> <p>题目:数据分析与项目管理</p> <p>报告人:夏骁凯(华南师范大学)<strong>(缺失)</strong></p> <p><em>WE LOST #12</em></p> <p>题目:心理科学中的数据管理:DFG数据管理指南</p> <p>报告人:哈斯巴根(华南师范大学)(<a href="https://osf.io/u2v8q/)" rel="nofollow">https://osf.io/u2v8q/)</a></p> <p><strong>二、效应量与统计功效</strong></p> <p><em>WE LOST #5</em></p> <p>题目:When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias</p> <p>报告人:张雅文(北京大学)(<a href="https://osf.io/m9ng5/)" rel="nofollow">https://osf.io/m9ng5/)</a></p> <p><em>WE LOST #7</em></p> <p>题目:The New Statistics: Why and How</p> <p>报告人:贾彬彬(上海体育学院)(<a href="https://osf.io/yxcse/)" rel="nofollow">https://osf.io/yxcse/)</a></p> <p><em>WE LOST #8</em></p> <p>题目:神经科学的低统计功效危机</p> <p>报告人:姜啸威(河南大学)(<a href="https://osf.io/stnw8/)" rel="nofollow">https://osf.io/stnw8/)</a></p> <p><em>WE LOST #11</em></p> <p>题目:基于贝叶斯因子的样本量分析</p> <p>报告人:胡传鹏(University Medical Center Mainz)(<a href="https://osf.io/saqen/)" rel="nofollow">https://osf.io/saqen/)</a></p> <p><em>WE LOST #13</em></p> <p>题目:A Practical Primer to Power Analysis for Simple Experimental Designs</p> <p>报告人:范妍(莱布尼茨工作与人因学研究所)(<a href="https://osf.io/cmak9/)" rel="nofollow">https://osf.io/cmak9/)</a></p> <p><em>WE LOST #14</em> (<a href="https://osf.io/ck2u5/)" rel="nofollow">https://osf.io/ck2u5/)</a></p> <p>题目:Psychosocial experiments and its power</p> <p>报告人:Sherry Cheng (St. John’s University)</p> <p><em>WE LOST #15(Podcast #1)</em></p> <p>题目:拨开Statistical Power与P值的迷雾</p> <p>主持人:陈绍庆(慈济大学)</p> <p>嘉宾一:赵礼(Ohio University)</p> <p>嘉宾二:纪学君(University of British Columbia)(<a href="https://osf.io/szwem/)" rel="nofollow">https://osf.io/szwem/)</a></p> <p><em>WE LOST #19</em></p> <p>题目:PANGEA: Power analysis for general ANOVA designs</p> <p>报告人:谢怡萍(中国科学院大学)(<a href="https://osf.io/td3em/)" rel="nofollow">https://osf.io/td3em/)</a></p> <p><strong>三、开放科学</strong> </p> <p><em>WE LOST #3</em></p> <p>题目:心理学研究中的可重复性问题:从危机到契机</p> <p>报告人:郑同京(上海师范大学)<strong>(缺失)</strong></p> <p><em>WE LOST #6</em></p> <p>题目:A collaborative approach to infant research: Promoting reproducibility, best practices, and theory-building</p> <p>报告人:李晶晶(武汉体育学院)(<a href="https://osf.io/r2zq7/)" rel="nofollow">https://osf.io/r2zq7/)</a></p> <p><em>WE LOST #9</em></p> <p>题目:体育与运动心理学领域的可重复性研究</p> <p>报告人:陈力天(西南交通大学)(<a href="https://osf.io/hc87x/)" rel="nofollow">https://osf.io/hc87x/)</a></p> <p><em>WE LOST #16</em></p> <p>题目:预注册在心理学研究中的意义、挑战与注意事项——以EEG与fMRI研究为例</p> <p>报告人:夏涛(香港大学)(<a href="https://osf.io/92tju/)" rel="nofollow">https://osf.io/92tju/)</a></p> <p><em>WE LOST #17</em></p> <p>题目:最大化研究可重复性——研究全过程中的策略</p> <p>报告人:刘拓(奥尔登堡大学)(<a href="https://osf.io/n2yas/)" rel="nofollow">https://osf.io/n2yas/)</a></p> <p><em>WE LOST #18</em></p> <p>题目:Paul Meehl: Making of Failed Theories</p> <p>报告人:陈绍庆(慈济大学)(<a href="https://osf.io/84aur/)" rel="nofollow">https://osf.io/84aur/)</a> <em>WE LOST#21</em></p> <p>题目:Publication bias in the social sciences</p> <p>报告人:林景(南京财经大学)(<a href="https://osf.io/p2fj5/" rel="nofollow">https://osf.io/p2fj5/</a>)</p> <p><strong>四、统计测量</strong></p> <p><em>WE LOST #1</em></p> <p>题目:Contemporary Validity Theory: A Primer</p> <p>报告人:纪学君(University of British Columbia)(<a href="https://osf.io/c2z56/)" rel="nofollow">https://osf.io/c2z56/)</a></p> <p><em>WE LOST #10</em></p> <p>题目:多层线性模型(HLM)及其自由度问题</p> <p>报告人:包寒吴霜(中国科学院心理研究所)(<a href="https://osf.io/7whmz/)" rel="nofollow">https://osf.io/7whmz/)</a></p> <p><em>WE LOST #20</em></p> <p>题目:p值与贝叶斯因子的比较</p> <p>报告人:殷继兴(西北师范大学)(<a href="https://osf.io/8cbdj/)" rel="nofollow">https://osf.io/8cbdj/)</a></p> <p>本项目旨在交流和探讨科学研究的可重复性以及透明性,共同提高大家对研究方法的理解。</p> <p>如果你也想加入并且分享你的资料,请联系赵加伟:psyzhao@163.com .</p>
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