KIT will host the 2026 Data Processing Workshop (Beginner Level). Through presentations and hands-on exercises, this workshop aims to help users become familiar with KIT’s data structures and process data properly to support subsequent analysis.

Location: 4th Floor, Room 403, Education Building, National Taiwan Normal University (Library Campus)

No online sessions will be offered, but the session will be screen-recorded and posted on the KIT official website after editing: https://kit.hdfs.ntnu.edu.tw/CN/KitWavesReleases.aspx 

Date: April 10 (Fri), 1:20 PM–6:00 PM

 

SPSS versions 23 and 29 have already been installed on the desktop computers in the computer classroom.

The room capacity is 40 people; therefore, please register as soon as possible!

Selection will be based on registration order, and successful applicants will be notified via email. 

 

The course content is shown in the figure below (focusing primarily on SPSS syntax):

Time		Course Content
13.30-14.10	40 mins	Unit 1: Data introduction. Data description (how to download, the user guide, understanding the data, working files)
14.10-14.20	10 mins	break
14.20-15.10	50 mins	Unit 2: basic data processing (review data, remove invalid values, verification) for 20 minutes Hands-on exercises for 30 minutes
15.10-15.20	10 mins	break
15.20-16.00	40 mins	Unit 3: Dimensions, counting total scores for dimensions (including reviewing data) for 15 minutes Hands-on exercises for 25 minutes
16.00-16.10	10 mins	break
16.10-17.10	60 mins	Unit 4: Data integration 4.1 User guide for cross-wave platforms, identifying variance names for 10 minutes Hands-on exercises for 10 minutes 4.2 SPSS integration syntax: using data from the workshop as an example for 15 minutes Hands-on exercises for 25 minutes
17.10-17.20	10 mins	break
17.20-17.50	30 mins	Unit 5: other applications (weighting, cross-tables, etc.) for 10 minutes Hands-on exercises for 20 minutes

If you would like to register, please fill out the following Google form:

https://forms.gle/rDX9MWSyjojEjyZ48 

If you have any questions, please call 7749-3142 (Contact: Pei-Yi Lin).