A Novice's Response Letter to AAVI: Staring at an Image

Hannah Weytjens
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Abstract

Students are often taught that quantitative analysis is about numbers while qualitative research is about language. Other types of content from these two alternatives, such as visual images, makes research analysis difficult, confusing, or even disorienting. Consequently, an initiate to learning qualitative research may be both eager and confident, but at the same time hesitant to work with images as they remain an undefined terrain. Choosing the unknown implies discomfort (Skukauskaite, Noske & Gonzales, 2018). Opting for a research method that deviates from more conventional analytical approaches can be scary. Consequently, it feels safer to use visual material when they adhere to the linguistic conventions of qualitative research and constrain the use of images solely to support narrative findings. Visual images can easily support traditional qualitative concepts of research. Afterall, as the adage goes, a picture – and visual material more broadly is worth a thousand words. There is an increasing interest from researchers in a variety of different disciplines to use images as data. They have certain advantages, especially for participatory types of research where participants are asked to create their own the images, as these images can assist both researchers and participants in “structuring, assessing or explaining their thoughts” (Clark, 2017, p.197). Hence, it would make sense that visual analysis is most suited to certain research questions that use visual materials as a prompt for interviewing or a method to document concrete artifacts that can be immediately discovered and seen. However, in addition to the functions of linguistic elaboration and notation, visual material holds an intrinsic meaning that goes beyond what can be immediately verbally expressed. As depicted in Figure 1, it is often difficult to know how to get started on this next level of visual research for the novice social science researcher, especially without an extensive training in art on how to read visual images. Where does one begin? The Analytical Apparatus for Visual Imagery (AAVI) proposed here by Hannes & Siegesmund encourages us to think about how to best grasp the meaning of visual material that is not immediately linguistically obvious. This necessitates understanding
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一个新手对AAVI的回应信:盯着一张图片看
学生们经常被教导定量分析是关于数字的,而定性研究是关于语言的。来自这两种选择的其他类型的内容,如视觉图像,使研究分析变得困难,令人困惑,甚至迷失方向。因此,一个开始学习定性研究的人可能既渴望又自信,但同时又对使用图像犹豫不决,因为它们仍然是一个未定义的领域。选择未知意味着不适(Skukauskaite, Noske & Gonzales, 2018)。选择一种偏离传统分析方法的研究方法可能会让人感到害怕。因此,当他们坚持定性研究的语言惯例并限制图像的使用仅用于支持叙事发现时,使用视觉材料感觉更安全。视觉图像可以很容易地支持传统的定性研究概念。毕竟,正如谚语所说,一张图片和更广泛的视觉材料胜过千言万语。各种不同学科的研究人员对使用图像作为数据的兴趣越来越大。它们具有一定的优势,特别是参与式研究,参与者被要求创建自己的图像,因为这些图像可以帮助研究人员和参与者“构建,评估或解释他们的想法”(克拉克,2017年,第197页)。因此,视觉分析最适合于某些研究问题,这些问题使用视觉材料作为采访的提示或记录可以立即发现和看到的具体工件的方法,这是有意义的。然而,除了语言阐述和符号的功能外,视觉材料还具有一种超越直接口头表达的内在意义。如图1所示,对于社会科学研究新手来说,通常很难知道如何开始下一阶段的视觉研究,尤其是在没有接受过如何阅读视觉图像的艺术培训的情况下。从哪里开始呢?汉内斯和西格斯蒙德在这里提出的视觉意象分析仪器(AAVI)鼓励我们思考如何最好地掌握视觉材料的意义,而这些视觉材料在语言上并不明显。这需要理解
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