Abstract
More than ten years have passed since the term "data archive" came to be heard among sociologists. Although data archives have been used relatively frequently for research studies, they have so far been little used for education. This report shows the necessary requirements of data archives for education. The four requirements are as follows: 1) a data archive should be usable not only in undergraduate education but also in liberal arts and even high school education; 2) data should be accessible on the Web without downloading and distributing it to students; 3) data archives should contain large-scale, random sampling survey data and come with data transformation functions such as recoding of values, and have analysis functions such as triple cross tabulation and multiple regression on the Web, to enable the study of how to use control variables; and 4) students should be able to study at any time using a data archive. Next, this report introduces the SRDQ data archive which fulfills these requirements, and also a textbook that makes use of the SRDQ archive. After reading an article which features an excellent example of data analysis and gaining a thorough understanding of its academic significance via the description in the textbook, a student can then easily trace the data analysis performed in that article on SRDQ while referring to the textbook. Students need to be given enough time to go through a process of trial and error in learning about data transformation and analysis. As a result, the student's interest in social research data analysis increases after the student becomes capable of performing analysis as only he/she can perform it. Finally, this report points out that it is our responsibility to increase the amount of teaching material that can be used for this kind of education through researchers' data deposit.
