在这些部分中,教科书提供了一种方法来分析定性数据的通用性和具体的,即归纳过程。在开始阅读的人把它定义为:常规数据的概括,这是一个解决传统数据模型的一些缺点的方法。归纳的方法是根据观察或有力的证据得出结论,这是作为对手的演绎推理。所以根据我在网上查到的东西,我想一般的和具体的只是两个对手的分析数据的方法,和一般的方法和演绎推理的区别是什么?
。In these parts, the textbook provides two approaches to analysis qualitative data-generic and specific, namely inductive procedure. Before started reading, the wikipeida defines it as: generalizations of conventional data, which is an approach to solve some shortcomings of conventional data models. Inductive way is based on observation or strong evidence to draw the conclusion, which is as opponent of deductive reasoning. So based on what I’ve checked online, shall I guess generic and specific are just two opponent ways of analyzing data, and what is the difference between generic approaches and deductive reasoning?
Chapter 13.7 discussed specific approaches-inductive procedures by mainly 5 ways. Firstly, grounded theory method-a systematic methodology, unlike providing a hypothesis in the first place, this method collects and analyzes data first and widely used in social science as well. Ground theory (short for GT) developed into 2 main edition: Strauss and Carbin (1988) and Charmaz (2006). But both versions involve in choosing initial sample. In Charmaz version (which is believed a more flexible approach), there are mainly 2 stages-initial coding and focused coding; in Strauss and Carbin’s version, there are 3 stages to go-open coding, axial coding, and selective coding. However, both of the 2 versions of the ground theory is time-consuming, and even with little significance emerged in the end. Then, the textbook gives template analysis, which is a combination of deductive and inductive approach. Finally, we come to analytic induction, this is an inductive version of reasoning, and is composed of repeated steps to find a valid explanation. The last 2 parts are kind of hard for me.