Searching for Meaning of Life, Broad and Deep : The Dual Forms of Existential Search and Their Relationship With Maximization
- 주제어 (키워드) maximization , meaning in life , dual forms of existential search , breadth and depth searches
- 발행기관 서강대학교 일반대학원
- 지도교수 김진형
- 발행년도 2024
- 학위수여년월 2024. 2
- 학위명 석사
- 학과 및 전공 일반대학원 심리학과
- 실제URI http://www.dcollection.net/handler/sogang/000000077086
- UCI I804:11029-000000077086
- 본문언어 영어
- 저작권 서강대학교 논문은 저작권 보호를 받습니다.
초록
Research has examined who is likely to search for meaning and when they are likely to search for meaning. But how would people search for meaning? The present research aimed to address this question by focusing on the relationship between maximization and existential search. The overarching hypothesis was that maximization would be positively associated with search for meaning through the dual forms of existential search: breadth and depth search for meaning. Specifically, the maximizing tendency to seek various alternatives would predict existential search through a breadth search, while the maximizing tendency to seek the best option would predict existential search through a depth search. Three studies (N = 1,159) were conducted to test this hypothesis. In Study 1, I first developed the dual forms of meaning search scale and provided evidence for its psychometric validity. In Study 2, I found correlational evidence for the hypothesis, such that the alternative and best search components of maximization predicted breadth and depth searches for meaning, respectively. Finally, Study 3 experimentally manipulated the two components of maximization and found subsequent effects on the dual forms of existential search as predicted. Overall, these findings offer new insight into understanding how people search for existential meaning.
more목차
1 Introduction 1
2 Minimum Spanning Tree algorithm 4
2.1 Introduction to MST 4
2.2 Modeling of manufactured problem and parameter set 6
3 Analysis of turbulence phenomena using MST 8
3.1 Description of physical problem and database of channel flow . 8
3.2 MST results of turbulent budget terms at different regions of the channel 10
3.3 Description of physical problem and database of duct flow 11
3.4 MST results of turbulent budget terms in duct flow . 11
4 Data-driven modeling of turbulent flow applications using MST 15
4.1 Data-driven modeling of Prt in turbulent duct flow using MST . 15
4.1.1 Description of the physical problem and database . 15
4.1.2 Optimization of ANN hyper-parameters and preprocessing of the database 16
4.1.3 Past empirical models of Prt 18
4.1.4 Selection of input parameters and reduced modeling of Prt using MST . 19
4.1.5 Comparison of MST results with existing parameter selection methods . 24
4.2 Data-driven modeling of directional Prt in turbulent duct flow using MST . 25
4.2.1 Motivation of modeling directional Prt 25
4.2.2 Reduced modeling results of directional Prt at duct quadrant 28
References 38
