標(biāo)題: Titlebook: Big Qual; A Guide to Breadth-a Susie Weller,Emma Davidson,Lynn Jamieson Textbook 2023 The Editor(s) (if applicable) and The Author(s), unde [打印本頁] 作者: obesity 時(shí)間: 2025-3-21 18:43
書目名稱Big Qual影響因子(影響力)
書目名稱Big Qual影響因子(影響力)學(xué)科排名
書目名稱Big Qual網(wǎng)絡(luò)公開度
書目名稱Big Qual網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Qual被引頻次
書目名稱Big Qual被引頻次學(xué)科排名
書目名稱Big Qual年度引用
書目名稱Big Qual年度引用學(xué)科排名
書目名稱Big Qual讀者反饋
書目名稱Big Qual讀者反饋學(xué)科排名
作者: BRIDE 時(shí)間: 2025-3-21 23:03 作者: 博識(shí) 時(shí)間: 2025-3-22 04:03
Introduction to Montague Semantics geophysical survey might be used to inform the archaeologists’ next steps of digging test pits to further narrow down where to dig deep, surface mapping is a step towards deeper qualitative analysis.作者: 意見一致 時(shí)間: 2025-3-22 07:42
Sourcing and Searching for Suitable Data Sets multi-site project; or pooling data collected separately but connected by a substantive topic or theme. Overall, we show how archives and alternative sources of data approaches can open new possibilities for qualitative research.作者: Champion 時(shí)間: 2025-3-22 10:34
‘Geophysical Surveying’: Recursive Surface ‘Thematic’ Mapping Using Data Mining Tools geophysical survey might be used to inform the archaeologists’ next steps of digging test pits to further narrow down where to dig deep, surface mapping is a step towards deeper qualitative analysis.作者: 缺乏 時(shí)間: 2025-3-22 16:45 作者: 昆蟲 時(shí)間: 2025-3-22 20:04
https://doi.org/10.1007/978-3-031-36324-5Big Qual; social research methods; digital research methods; Data archiving; Computer-aided scrutiny; qua作者: Offbeat 時(shí)間: 2025-3-22 22:36
978-3-031-36323-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: BILIO 時(shí)間: 2025-3-23 05:04
Susie Weller,Emma Davidson,Lynn JamiesonProvides a guide to the possibilities of big qual and its relationship to qualitative research.Prompts readers to think differently about the relationship between theory and evidence, research questio作者: Surgeon 時(shí)間: 2025-3-23 07:33
http://image.papertrans.cn/b/image/185745.jpg作者: CAND 時(shí)間: 2025-3-23 11:55
https://doi.org/10.1007/978-3-319-25832-4readth-and-depth method. In particular, it outlines the place of big qual analysis in contemporary debates concerning the emergence of ‘big’ data, the digitisation of qualitative data, and the growing impetus for sharing and reusing qualitative data including large-scale analysis. We map the methods作者: 長處 時(shí)間: 2025-3-23 17:02
Noninfectious Noncancer (NINC) Vaccinese relationship that the method has to theory.?To support those seeking to use the method in their own research we provide an illustration of the method in practice, alongside examples of the different types of research questions that can be asked.作者: 加入 時(shí)間: 2025-3-23 18:04 作者: 脫水 時(shí)間: 2025-3-24 01:56
Introduction to Molecular Vaccinologyarchaeological metaphor of the ‘a(chǎn)erial survey’ is used to visualise the step. Within the aerial survey the researcher moves systematically across a vast data landscape with the aim of constructing a corpus that consists of multiple datasets. In this step we describe ways to audit your data and work 作者: 運(yùn)動(dòng)吧 時(shí)間: 2025-3-24 02:59 作者: 別名 時(shí)間: 2025-3-24 07:49 作者: Dorsal 時(shí)間: 2025-3-24 14:25 作者: 存在主義 時(shí)間: 2025-3-24 14:59 作者: 牌帶來 時(shí)間: 2025-3-24 19:00
Sensor Calibration and Measurement Model breadth-and-depth method as an iterative way of working with large volumes of qualitative data, and of bringing together multiple qualitative datasets. We consider the opportunities, challenges, and limitations this way of working can bring. We conclude by outlining the implications of the method, 作者: 慎重 時(shí)間: 2025-3-25 01:02
Introducing the Breadth-and-Depth Methode relationship that the method has to theory.?To support those seeking to use the method in their own research we provide an illustration of the method in practice, alongside examples of the different types of research questions that can be asked.作者: Semblance 時(shí)間: 2025-3-25 06:33 作者: 多產(chǎn)魚 時(shí)間: 2025-3-25 07:46 作者: 鑒賞家 時(shí)間: 2025-3-25 12:53
‘Deep Excavations’: In-Depth Interpretive Analysisn guiding the reader through the process of selecting one or more approaches and encouraging them to consider their epistemological stance, conceptual approach, and substantive concerns, along with the practicalities of the form/s of data.作者: Lumbar-Stenosis 時(shí)間: 2025-3-25 19:39 作者: 拖網(wǎng) 時(shí)間: 2025-3-25 20:46
https://doi.org/10.1007/978-3-319-25832-4 digitisation of qualitative data, and the growing impetus for sharing and reusing qualitative data including large-scale analysis. We map the methods and approaches seeking to integrate big data and qualitative forms of enquiry and consider future challenges for the big qual field and the breadth-and-depth method.作者: 暫時(shí)過來 時(shí)間: 2025-3-26 00:43 作者: anthropologist 時(shí)間: 2025-3-26 04:19 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-26 12:11
Big Qual and the Future of Qualitative Analysiss. We consider the opportunities, challenges, and limitations this way of working can bring. We conclude by outlining the implications of the method, both for qualitative and for quantitative enquiry and big data debates.作者: 協(xié)迫 時(shí)間: 2025-3-26 14:05
Germano Resconi,Xiaolin Xu,Guanglin Xun a clear sense of whether the material is of relevance. By covering issues such as sample size and sampling logic, providing illustrative examples detailing the process, and making links to other resources, the chapter equips readers with an understanding of the process of moving from breadth to depth (and back again). 作者: 炸壞 時(shí)間: 2025-3-26 18:55
‘Test Pit Sampling’: Preliminary Analysisn a clear sense of whether the material is of relevance. By covering issues such as sample size and sampling logic, providing illustrative examples detailing the process, and making links to other resources, the chapter equips readers with an understanding of the process of moving from breadth to depth (and back again). 作者: 構(gòu)想 時(shí)間: 2025-3-26 22:08 作者: 我不明白 時(shí)間: 2025-3-27 04:09
Introduction to Molecular Vaccinologyibed are not prescriptive, and challenges and limitations are also considered. Throughout, we encourage you to employ flexibility depending on the nature and form of your selected projects or datasets.作者: addition 時(shí)間: 2025-3-27 09:05 作者: 愉快嗎 時(shí)間: 2025-3-27 10:02
‘Aerial Surveying’: Overviewing the Data and Constructing a Corpusibed are not prescriptive, and challenges and limitations are also considered. Throughout, we encourage you to employ flexibility depending on the nature and form of your selected projects or datasets.作者: Complement 時(shí)間: 2025-3-27 16:55 作者: slow-wave-sleep 時(shí)間: 2025-3-27 17:56
The Place and Value of Large-Scale Qualitative Data Analysisreadth-and-depth method. In particular, it outlines the place of big qual analysis in contemporary debates concerning the emergence of ‘big’ data, the digitisation of qualitative data, and the growing impetus for sharing and reusing qualitative data including large-scale analysis. We map the methods作者: RENAL 時(shí)間: 2025-3-27 22:27 作者: Diatribe 時(shí)間: 2025-3-28 03:14
Sourcing and Searching for Suitable Data Setshe chapter discusses formalised repositories for data which form a key infrastructure for big qual analysis. We provide information on key research data archives and how to access them. The second part considers the diverse forms of data that exist outside and alongside formal large-scale repositori作者: MOCK 時(shí)間: 2025-3-28 06:21 作者: 無思維能力 時(shí)間: 2025-3-28 10:24 作者: MAIZE 時(shí)間: 2025-3-28 18:18 作者: 啤酒 時(shí)間: 2025-3-28 20:27 作者: Eructation 時(shí)間: 2025-3-29 02:27
Ethics and Practice unique to big qual or to the use of the breadth-and-depth method but are likely to be encountered when employing other approaches to qualitative secondary analysis. That said, big qual analysis can exacerbate some of these concerns. This chapter encourages readers to be mindful of two sets of ethic作者: 盲信者 時(shí)間: 2025-3-29 03:51
Big Qual and the Future of Qualitative Analysis breadth-and-depth method as an iterative way of working with large volumes of qualitative data, and of bringing together multiple qualitative datasets. We consider the opportunities, challenges, and limitations this way of working can bring. We conclude by outlining the implications of the method,
