Towards a unified approach to formal "risk of bias" assessments for causal and descriptive inference [0.03%]
朝向对因果和描述性推理的正式“偏倚风险”评估的统一方法
O L Pescott,R J Boyd,G D Powney et al.
O L Pescott et al.
Statistics is sometimes described as the science of reasoning under uncertainty. Statistical models provide one view of this uncertainty, but what is frequently neglected is the "invisible" portion of uncertainty: that assumed not to exist ...
Unraveling honest responding: a systematic review on the effectiveness of social desirability bias reduction methods in survey research [0.03%]
揭开真诚回应的面纱：一项关于调查研究中降低社会赞许性偏差方法有效性的系统评价
Emma Zaal,Yfke Ongena,Nina van der Velden et al.
Emma Zaal et al.
Social Desirability Bias (SDB), the tendency of respondents to present themselves in socially acceptable terms, poses serious challenges for the validity of survey research. This study systematically reviewed the effectiveness of methods ai...
Unlocking insights: assessing the quality of conventional and image-based responses on books at home in an online mobile survey [0.03%]
解锁洞察力：在线移动调查中关于家中常规书籍和图像基于书籍的回应的质量评估
Patricia A Iglesias
Patricia A Iglesias
Despite growing interest in collecting photos within online surveys, little is known about the quality of visual data and its comparison with data obtained through conventional requests. To address this gap, a self-administered online mobil...
An Ounce of Prevention: Using Conversational Interviewing and Avoiding Agreement Response Scales to Prevent Acquiescence [0.03%]
防微杜渐：采用交谈式访谈和避免同意型回答量表预防顺从回应
Rachel Davis,Frederick G Conrad,Shaohua Dong et al.
Rachel Davis et al.
Acquiescent response style (ARS), the tendency for survey respondents to agree with survey items, is of particular concern for increasing measurement error in surveys with populations who are more likely to acquiesce, such as Latino respond...
It's a long way to the top (if you wanna biplot): a back-to-basics perspective on the implementation of principal component biplots in R [0.03%]
行远以拓(如欲绘制双图次元图): 从基础出发，解读R语言中主成分分析双图次元图的实现方法
Ettore Settanni,Jagjit Singh Srai
Ettore Settanni
Principal Component Analysis and biplots are so well-established and readily implemented that it is just too tempting to take for granted their internal workings. In this note we compare how PCA and biplots are implemented in the R language...
Gender bias in machine learning: insights from official labour statistics and textual analysis [0.03%]
机器学习中的性别偏见：来自官方劳动力统计数据和文本分析的启示
Orfeas Menis-Mastromichalakis,George Filandrianos,Maria Symeonaki et al.
Orfeas Menis-Mastromichalakis et al.
The interplay between technology and societal norms often reveals a troubling reality: machine learning systems not only reflect existing gender stereotypes but can also amplify and entrench them, making these biases harder to detect and ad...
Jessica A R Logan,Allyson L Hayward,Lexi E Swanz et al.
Jessica A R Logan et al.
Data sharing is increasingly becoming a highly encouraged or required practice for any federally funded research projects. However, the uptake of these practices in education science has been minimal. Research suggests that many researchers...
Comparison of imputation methods for univariate categorical longitudinal data [0.03%]
单变量分类纵向数据分析的插补方法比较
Kevin Emery,Matthias Studer,André Berchtold
Kevin Emery
The life course paradigm emphasizes the need to study not only the situation at a given point in time, but also its evolution over the life course in the medium and long term. These trajectories are often represented by categorical data. Th...
Is a single model enough? The systematic comparison of computational approaches for detecting populist radical right content [0.03%]
足够吗？系统比较用于检测 populism 极端右翼内容的计算方法
Mykola Makhortykh,Ernesto de León,Clara Christner et al.
Mykola Makhortykh et al.
The rise of populist radical right (PRR) ideas stresses the importance of understanding how individuals engage with PRR content online. However, this task is complicated by the variety of channels through which such engagement can take plac...
Thijs C Carrière,Laura Boeschoten,Bella Struminskaya et al.
Thijs C Carrière et al.
Digital trace data form a rich, growing source of data for social sciences and humanities. Data donation offers an innovative and ethical approach to collect these digital trace data. In data donation studies, participants request a copy of...