本研究計畫經通過收案單位人體試驗委員會審核後，邀請個案進行訪談。完成6

本研究計畫經通過收案單位人體試驗委員會審核後，邀請個案進行訪談。完成60 份訪談錄音後，將錄音檔進行逐字稿製作。再將60 份文本進行資料處理，刪除研究員提問問句、空白、標點符號、英文、數字、場景描述、語氣、表情描述詞彙等。使用軟體SPSS 20.0 版的兩階段群集分析法（Two Step cluster analysis），將60 個文本自動分群，將分群結果依序命名為高症狀組及低症狀組

結果 (英文) 1:

This research project was to close the case by the IRB audit unit, invited the case interview.
After completion of the 60 parts of the interview recording, the recording is issued verbatim file produced. Then 60 parts of text data processing,
delete the questions researchers ask questions, blank, punctuation, English, numbers, scene description, tone, expression described
above vocabulary. Two stage using SPSS version 20.0 software Cluster Analysis (Two Step cluster analysis),
the automatic text clustering 60, the clustering results named sequentially high and low symptomatic symptomatic

結果 (英文) 2:

After the examination of the human body testing committee of the receiving unit, the study plan invites the case to conduct an interview.
After completing 60 interview recordings, the recordings will be produced verbatim. 60 more texts for data processing,
Delete the researcher's questions, blanks, punctuation, English, numbers, scene descriptions, tone, emoticons
vocabulary, etc. Using the two-phase cluster analysis method (Two Step cluster analysis) for software SPSS version 20.0,
Automatic grouping of 60 texts, named the group results sequentially as the high symptom group and the low symptom group

結果 (英文) 3:

This study plans to invite the case for interview after the approval of the human trial committee of the unit receiving the case.
After the completion of 60 interview recordings, the recording files will be made verbatim, and then 60 texts will be processed,
Delete questions, blanks, punctuation marks, English, numbers, scene description, mood and emoticon
Using the two step cluster analysis of SPSS 20.0,
60 texts were automatically grouped, and the results were named high symptom group and low symptom group