The New Procedure to Code and analyze the Open-ended Questions' Data in Social Research

社会研究中开放式问题数据编码和分析的新程序

• 批准号: 08551003
• 负责人: KAWABATA Akira
• 金额: $ 4.22万
• 依托单位: Osaka University (1998)Kyoto Koka Women's University (1996-1997)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (A)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08551003/
• 关键词: code; textual data; content analysis; AUTOCODE; KTCoder; open-ended question; 社会調査法

The purpose of this research is to show the new computer-aided techniques for the analysis of textual data. Only few attempts have so far been made at content analysis with personal computer in Japan. The main reason is that Japanese have a difficult problem to solve. Japanese have no explicit break to classify words according to a part of speech. Then, our concern is to make new computer programs to classify words.There are three steps in this research. The first is how large amounts of text are converted to machine-readable format. The second is how to code textual data. The third is the methods of analyzing it.The point is to make the software for coding textual materials in Japanese on personal computers. We have completed two programs : AUTOCODE program and KTCoder.AUTOCODE program was originally developed to support the coding of open-ended questions in survey questionnaires. Its basic function is 'cut-and paste' for Windows. It aids to collect similar text segments from the raw textual data and AUTOCODE makes a coding-rule-file. This file can be used to confirm the precision of coding. AUTOCODE program codes textual data in accordance with the coding-rule-file and outputs the file that can be analyzed with statistical package soft such as SPSS. This program has graphical user interface and a mouse can be used.KTCoder divides the raw textual data into separate segments and outputs the files that include the locations of each code. All files used and created by the program that contain code with information of location data are stored in standard database format. This offers users extensive possibilities for using other software tools, for instance, Access. This program has also graphical user interface and a mouse can be used.

这项研究的目的是展示用于分析文本数据的新计算机辅助技术。到目前为止，在日本使用个人计算机的内容分析中，只有很少的尝试。主要原因是日本人很难解决。日本人没有明确的断裂来根据语音的一部分进行分类。然后，我们关注的是制作新的计算机程序来对单词进行分类。这项研究中有三个步骤。首先是将大量文本转换为机器可读格式。第二个是如何编码文本数据。第三个是分析它的方法。重点是制造用于个人计算机上日语编码文本材料的软件。我们已经完成了两个程序：Autocode程序和KTCODER.AUTOCODE程序最初是为了支持调查问卷中开放式问题的编码。它的基本功能是Windows的“切割和粘贴”。它有助于从原始文本数据中收集类似的文本段，而Autocode则可以制造一个编码规则文件。该文件可用于确认编码的精度。 Autocode程序根据编码规则文件代码文本数据，并输出可以使用统计软件包软件（例如SPS）分析的文件。该程序具有图形用户界面，可以使用鼠标。KTCODER将原始文本数据分为单独的段，并输出包含每个代码位置的文件。该程序包含代码和位置数据信息的所有文件都存储在标准数据库格式中。这为用户提供了使用其他软件工具的广泛可能性，例如访问。该程序还具有图形用户界面，并且可以使用鼠标。