Quality & Quantity最新文献

Best practices for studies using digital data donation. 使用数字数据捐赠进行研究的最佳实践。

Quality & Quantity Pub Date : 2025-01-01 Epub Date: 2024-10-08 DOI: 10.1007/s11135-024-01983-x

Thijs C Carrière, Laura Boeschoten, Bella Struminskaya, Heleen L Janssen, Niek C de Schipper, Theo Araujo

{"title":"Best practices for studies using digital data donation.","authors":"Thijs C Carrière, Laura Boeschoten, Bella Struminskaya, Heleen L Janssen, Niek C de Schipper, Theo Araujo","doi":"10.1007/s11135-024-01983-x","DOIUrl":"10.1007/s11135-024-01983-x","url":null,"abstract":"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 the digital trace data a data controller (e.g., large digital social media or video platforms) collected about them. The European Union's General Data Protection Regulation obliges platforms to provide such a copy. Next, the participant can choose to share (part of) this data copy with the researcher. This way, the researcher can obtain the digital trace data of interest with active consent of the participant. Setting up a data donation study involves several steps and considerations. If executed poorly, these steps might threaten a study's quality. In this paper, we introduce a workflow for setting up a robust data donation study. This workflow is based on error sources identified in the Total Error Framework for data donation by Boeschoten et al. (2022a) as well as on experiences in earlier data donation studies by the authors. The workflow is discussed in detail and linked to challenges and considerations for each step. We aim to provide a starting point with guidelines for researchers seeking to set up and conduct a data donation study.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"59 Suppl 1","pages":"389-412"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11971172/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143796904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Is a single model enough? The systematic comparison of computational approaches for detecting populist radical right content. 单一模型就足够了吗？检测民粹主义极右内容的计算方法的系统比较。

Quality & Quantity Pub Date : 2025-01-01 Epub Date: 2025-01-29 DOI: 10.1007/s11135-024-02034-1

Mykola Makhortykh, Ernesto de León, Clara Christner, Maryna Sydorova, Aleksandra Urman, Silke Adam, Michaela Maier, Teresa Gil-Lopez

{"title":"Is a single model enough? The systematic comparison of computational approaches for detecting populist radical right content.","authors":"Mykola Makhortykh, Ernesto de León, Clara Christner, Maryna Sydorova, Aleksandra Urman, Silke Adam, Michaela Maier, Teresa Gil-Lopez","doi":"10.1007/s11135-024-02034-1","DOIUrl":"10.1007/s11135-024-02034-1","url":null,"abstract":"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 place. In this article, we systematically compare computational approaches for detecting PRR content in textual data. Using 66 dictionary, classic supervised machine learning, and deep learning (DL) models, we compare how these distinct approaches perform on the PRR detection task for three Germanophone test datasets and how their performance is affected by different modes of text preprocessing. In addition to individual models, we examine the performance of 330 ensemble models combining the above-mentioned approaches for the dataset with a particularly high volume of noise. Our findings demonstrate that the DL models, in combination with more computationally intense forms of preprocessing, show the best performance among the individual models, but it remains suboptimal in the case of more noisy datasets. While the use of ensemble models shows some improvement for specific modes of preprocessing, overall, it mostly remains on par with individual DL models, thus stressing the challenging nature of computational detection of PRR content.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"59 Suppl 2","pages":"1163-1207"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12055619/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of imputation methods for univariate categorical longitudinal data. 单变量分类纵向数据的归算方法比较。

Quality & Quantity Pub Date : 2025-01-01 Epub Date: 2024-12-26 DOI: 10.1007/s11135-024-02028-z

Kevin Emery, Matthias Studer, André Berchtold

引用次数: 0

Developing the halal-sufficiency scale: a preliminary insight 制定清真食品充足度量表：初步见解

Quality & Quantity Pub Date : 2024-01-06 DOI: 10.1007/s11135-023-01823-4

Muhammad Sholihin

引用次数: 0

Biodegradable electronics: a two-decade bibliometric analysis 生物降解电子学：二十年文献计量分析

Quality & Quantity Pub Date : 2024-01-06 DOI: 10.1007/s11135-023-01812-7

Sachin Himalyan, Vrinda Gupta

引用次数: 0

Measuring income inequality via percentile relativities. 通过百分位数相对性衡量收入不平等。

Quality & Quantity Pub Date : 2024-01-01 Epub Date: 2024-05-07 DOI: 10.1007/s11135-024-01881-2

Vytaras Brazauskas, Francesca Greselin, Ričardas Zitikis

{"title":"Measuring income inequality via percentile relativities.","authors":"Vytaras Brazauskas, Francesca Greselin, Ričardas Zitikis","doi":"10.1007/s11135-024-01881-2","DOIUrl":"10.1007/s11135-024-01881-2","url":null,"abstract":"The adage \"the rich are getting richer\" refers to increasingly skewed and heavily-tailed income distributions. For such distributions, the mean is not the best measure of the center, but the classical indices of income inequality, including the celebrated Gini index, are mean based. In view of this, it has been proposed in the literature to incorporate the median into the definition of the Gini index. In the present paper we make a further step in this direction and, to acknowledge the possibility of differing viewpoints, investigate three median-based indices of inequality. These indices overcome past limitations, such as: (1) they do not rely on the mean as the center of, or a reference point for, income distributions, which are skewed, and are getting even more heavily skewed; (2) they are suitable for populations of any degree of tail heaviness, and income distributions are becoming increasingly such; and (3) they are unchanged by, and even discourage, transfers among the rich persons, but they encourage transfers from the rich to the poor, as well as among the poor to alleviate their hardship. We study these indices analytically and numerically using various income distribution models. Real-world applications are showcased using capital incomes from 2001 and 2018 surveys from fifteen European countries.","PeriodicalId":49649,"journal":{"name":"Quality & Quantity","volume":"58 5","pages":"4859-4896"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11415483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142299564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research design: qualitative, quantitative, and mixed methods approaches / sixth edition 研究设计:定性、定量和混合方法/第六版

Quality & Quantity Pub Date : 2023-11-15 DOI: 10.1007/s11135-023-01798-2

James P. Takona

引用次数: 4

Using biograms to promote life course research. An example of theoretical case configuration relating to paths of social exclusion 利用传记促进生命历程研究。一个关于社会排斥路径的理论案例配置的例子

Quality & Quantity Pub Date : 2023-11-09 DOI: 10.1007/s11135-023-01777-7

Ivana Acocella

引用次数: 0

Does scientific and technological innovation promote regional coordination of socio-economy, environment, and energy? Evidence from quantitative research in China 科技创新是否促进了区域社会经济、环境和能源协调?来自中国定量研究的证据

Quality & Quantity Pub Date : 2023-11-09 DOI: 10.1007/s11135-023-01770-0

Zumeng Zhang, Liping Ding, Yuxuan Zhu, Yin Shi, Qiyao Dai