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--- c:mrm:2026:schedule:finding_hypothesis [2026/03/19 01:02] – hkimscil
+++ c:mrm:2026:schedule:finding_hypothesis [2026/03/19 02:45] (current) – hkimscil
@@ Line 1: / Line 1: @@
-====== 김해원 ======
+====== 김혜인 ======
 저는 게임과 데이터 분야에 관심이 있습니다. 본 과제에서는 게임이 사람에게 어떤 영향을 미치는지에 대해 조사하였습니다.
@@ Line 81: / Line 81: @@
     * 개념화가 정확히 측정의 수준을 말해주지는 않는다. 이를 알아내기 위해서는 위의 개념화와 더불어
     * 3.2 섹션의 Research Instrument를 보면 된다.
-<blockqutoe>To measure personalization, we used five items. The first three questions were selected from the scale developed by Komiak and Benbasat [103], and the last two question were taken from Xu and Luo [102], and were modified and made suitable in the context of news apps. A sample question is, “News apps understand my needs”. To measure continuous use intention, the original three items were adapted from the study of Bhattacherjee [104] and made suitable for measuring news app CUI. A sample item is, “I intend to continue using news apps in future”. Both in personalization and CUI, a seven-point Likert scale ranging from “strongly disagree” to “strongly agree” was used to measure all the items. </blockquote>
+<blockquote>To measure personalization, we used five items. The first three questions were selected from the scale developed by Komiak and Benbasat [103], and the last two question were taken from Xu and Luo [102], and were modified and made suitable in the context of news apps. A sample question is, “News apps understand my needs”. To measure continuous use intention, the original three items were adapted from the study of Bhattacherjee [104] and made suitable for measuring news app CUI. A sample item is, “I intend to continue using news apps in future”. Both in personalization and CUI, a seven-point Likert scale ranging from “strongly disagree” to “strongly agree” was used to measure all the items. </blockquote>
     * 위를 읽어보면 (마지막 문단), IV는 5문제를 물어서 구했고, DV는 한문제를 이용한듯 하다.
     * 모두 7포인트 스케일을 썼다고 하니 숫자로 측정을 한 것이다. 따라서
@@ Line 88: / Line 88: @@
     * 이런 경우 첫번째 문제의 가설의 종류는 연관이 (AH) 가설이 된다.
   * 더 흥미로운 것은 이 연구자의 연구모델을 visualzation한 것을 보면 모든 가설이 어떻게 설계되었는지 요약해서 볼 수 있다. (구두로 설명추가)
-    * {{.:pasted:20260313-112403.png?600}}
+    * {{.:pasted:20260313-112403.png?400}}
-    * {{.:pasted:20260313-104158.png?600}}
+    * {{.:pasted:20260313-104158.png?400}}
 가설 2 (H2). 성과 기대는 뉴스 앱의 지속적 사용 의도에 유의미한 영향을 미친다.