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    2์ฐจ์› ํ˜ผ์„ฑ๋ณตํ•ฉ์ฒด ๋‚˜๋…ธํ”Œ๋ ˆ์ดํŠธ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€,2020. 2. ๊น€์šฉํ˜‘.Various two-dimensional(2D) materials attract a lot of attention due to their structural characteristic and applicability. Crystalline 2D materials are being developed, and research on their application in various fields has been reported. Among those materials, graphene having a honeycomb lattice with six carbon atoms is one of the most popular materials due to its excellent physical and chemical properties. However, other carbonaceous materials are in the shadow of interest due to the prosperity of graphene's superior properties. Due to the richness of information for organic chemistry, various forms of organic materials still have enormous opportunity to be developed. Based on the knowledge of organic chemistry, this thesis proposes a new concept of two-dimensional material. By combining the advantages of the materials involved in the reaction process, this new concept two-dimensional materials with the desired material properties can be synthesized. There may be two or more starting materials participating in the reaction. In this thesis, two kinds of organic materials were used as starting materials to synthesize two-dimensional carbonaceous nanoplates with more sp2 bonds than previously reported carbonaceous materials. The new class of carbonaceous compounds using organic (glucose) and other organic materials (1,2-dihydroxybenzene), which are organic-organic co-compounds are suggested here. We successfully synthesized two-dimensional carbonaceous material that can be synthesized in one-pot process without any by-products. The material characteristics of our synthesized co-compounded nanoplate (Co-CANP) were analyzed and its efficacy was confirmed by using it as a filler of various type of composite materials.ํƒ„์†Œ ๋™์†Œ์ฒด ์ค‘ ํ•˜๋‚˜์ธ ๊ทธ๋ž˜ํ•€์˜ ๋ฐœ๊ฒฌ์€ 2์ฐจ์› ์žฌ๋ฃŒ์— ๋Œ€ํ•œ ๋ง‰๋Œ€ํ•œ ๊ด€์‹ฌ์„ ๋ถˆ๋Ÿฌ์ผ์œผ์ผฐ๋‹ค. 2์ฐจ์› ์žฌ๋ฃŒ๋Š” ๋†’์€ ์ข…ํšก๋น„๋ฅผ ๊ฐ–๋Š” ๋น„ํ‘œ๋ฉด์ ์ด ๋งค์šฐ ํฐ ๋ฌผ์งˆ๋กœ์จ, ๊ทธ ์‘์šฉ์„ฑ์ด ๋ฌด๊ถ๋ฌด์ง„ํ•˜๋‹ค. ๋‹ค์–‘ํ•œ ์›์†Œ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ 2์ฐจ์› ์žฌ๋ฃŒ๋“ค์ด ๋ณด๊ณ ๋˜๊ณ  ์žˆ์ง€๋งŒ, ๊ฑฐ์˜ ๋Œ€๋ถ€๋ถ„ ์‹œ์ž‘ ๋ฌผ์งˆ์˜ ํŠน์„ฑ์„ ๋ฒ—์–ด๋‚˜์ง€ ๋ชปํ•œ ์ฑ„ top-down ๋ฐฉ์‹์œผ๋กœ 2์ฐจ์› ์žฌ๋ฃŒ๋ฅผ ์–ป๊ณ  ์žˆ๋Š” ์‹ค์ •์ด๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ๋‘๊ฐ€์ง€ ์ด์ƒ์˜ ํ™”ํ•ฉ๋ฌผ์„ ๋ฐ˜์‘ ๋ฌผ์งˆ๋กœ ์‚ฌ์šฉํ•˜์—ฌ, ๋ฌผ์งˆ ํŠน์„ฑ์ด ์กฐ์ ˆ ๊ฐ€๋Šฅํ•œ 2์ฐจ์› ์žฌ๋ฃŒ๋ฅผ ํ•ฉ์„ฑํ•˜๋Š” ๋ฐฉ์‹์— ๋Œ€ํ•ด ์†Œ๊ฐœํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋Š” Bottom-up ๋ฐฉ์‹์˜ ์ƒˆ๋กœ์šด 2์ฐจ์› ๋ฌผ์งˆ ํ•ฉ์„ฑ ํ”Œ๋žซํผ์ด๋ฉฐ, ๋ฐ˜์‘์— ์ฐธ๊ฐ€ํ•˜๋Š” ํ™”ํ•ฉ๋ฌผ์˜ ์ข…๋ฅ˜์— ๋”ฐ๋ผ ํ•ฉ์„ฑ๋˜์–ด์ง€๋Š” ํ˜ผ์„ฑ๋ณตํ•ฉ์งˆ ๋‚˜๋…ธํ”Œ๋ ˆ์ดํŠธ์˜ ํŠน์„ฑ์ด ์กฐ์ ˆ๋œ๋‹ค๋Š” ํฐ ์žฅ์ ์ด ์žˆ๋‹ค. ๊ธฐ๋Šฅ๊ธฐ๋ฅผ ๊ฐ–๋Š” ํ™”ํ•ฉ๋ฌผ์€ ๋ชจ๋‘ ๋ฐ˜์‘๋ฌผ์งˆ์˜ ํ›„๋ณด๊ฐ€ ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํฌ๋„๋‹น๋งŒ์„ ์‚ฌ์šฉํ•˜์—ฌ 2์ฐจ์› ๋ฌผ์งˆ์„ ํ•ฉ์„ฑํ–ˆ์„ ๋•Œ๋ณด๋‹ค ๋” ๋งŽ์€ ์ˆ˜์˜ spยฒ ๊ฒฐํ•ฉ์„ ๊ฐ–๋Š” 2์ฐจ์› ๋ฌผ์งˆ์„ ํ•ฉ์„ฑํ•˜์˜€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ํฌ๋„๋‹น(glucose)์„ ํ•ต ์ƒ์„ฑ(nucleation) ๋ฌผ์งˆ๋กœ ์‚ฌ์šฉํ•˜๊ณ  ์นดํ…Œ์ฝœ(dihydroxy benzene)์„ ์ถ”๊ฐ€์ ์ธ ๋ฐ˜์‘ ๋ฌผ์งˆ๋กœ ์‚ฌ์šฉํ•˜์—ฌ ํ˜ผ์„ฑ๋ณตํ•ฉ์งˆ ํƒ„์†Œ์งˆ ๋‚˜๋…ธํ”Œ๋ ˆ์ดํŠธ๋ฅผ ํ•ฉ์„ฑํ•˜์˜€๋‹ค. ๋‹ค์–‘ํ•œ ๋ถ„์„ ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ๋ฌผ์งˆ ํŠน์„ฑ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ์—ฌ๋Ÿฌ ์‘์šฉ์„ฑ ์žฌ๋ฃŒ์— ์ฒจ๊ฐ€๋ฌผ์งˆ๋กœ ์‚ฌ์šฉํ•˜์—ฌ ๊ทธ ํšจ๋Šฅ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค.Chapter 1. Introduction 1 1.1 Carbonaceous materials 1 1.2 Motivation and research objectives 9 Chapter 2. Co-Compounded nanoplates 11 2.1 Synthesis of two-dimensional co-compounded nanoplates 12 2.1.1 Source materials 12 2.1.2 Vapor-filled hydrothermal synthesis 14 2.1.3 Mechanism of material synthesis 24 2.2 Characterization of Co-Compounded nanoplates 28 2.2.1 Microscopy 29 2.2.1.1 Scanning electron microscope (SEM) 29 2.2.1.2 Transmission electron microscope (TEM) 31 2.2.1.3 Atomic Force microscope (AFM) 33 2.2.2 Spectroscopy 37 2.2.2.1 Nuclear magnetic resonance (NMR) 37 2.2.2.2 Fourier-transform infrared spectroscopy (FT-IR) 48 2.2.2.3 Raman spectroscopy 53 2.2.2.4 X-ray photoelectron spectroscopy (XPS) 55 2.2.2.5 X-ray diffraction (XRD) 57 2.2.3 Thermal Gravimetry Analysis (TGA) 59 Chapter 3. Applications 61 3.1 Rubber composite for tire 61 3.1.1 Mechanical tensile test 65 3.1.2 Dynamic mechanical analysis 68 3.2 Sound absorption material 73 3.2.1 Co-CANP/Melamine hybrid foam 77 3.2.2 Sound absorption coefficient 81 3.3 Heat dissipation material 90 3.3.1 Co-CANP/Epoxy composite 98 3.3.2 Heat dissipation performance 100 Chapter 4. Conclusions 108 Bibliography 109 ์ดˆ ๋ก 120Docto

    ์ •์ „๋ ฅ์„ ์ด์šฉํ•œ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ ๊ธฐ๋ฐ˜ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์†Œ์ž

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2014. 2. ๊น€์šฉํ˜‘.์—๋„ˆ์ง€ ์ˆ˜์ง‘์ด๋ž€ ํƒœ์–‘์—ด, ํ’๋ ฅ, ์—ด ์—๋„ˆ์ง€, ์šด๋™ ์—๋„ˆ์ง€ ๋“ฑ ์™ธ๋ถ€ ์—๋„ˆ์ง€์›์œผ๋กœ๋ถ€ํ„ฐ ์—๋„ˆ์ง€๋ฅผ ํฌํšํ•˜๋Š” ๊ณผ์ •์„ ๋งํ•œ๋‹ค. ์™ธ๋ถ€์—์„œ ์ธ๊ฐ€๋˜๋Š” ์—๋„ˆ์ง€๋ฅผ ์ „๊ธฐ์  ์—๋„ˆ์ง€๋กœ ํšจ๊ณผ์ ์œผ๋กœ ๋ณ€ํ™˜์‹œํ‚ค๋Š” ๊ฒƒ์ด ์—๋„ˆ์ง€์ˆ˜์ง‘์†Œ์ž ๊ด€๋ จ ์—ฐ๊ตฌ์˜ ์ฃผ๋œ ๊ด€์‹ฌ์ด๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ๋ฅผ ํ™œ์šฉํ•œ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์†Œ์ž์˜ ํŠน์„ฑ๊ณผ, ์„ฑ๋Šฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ์ด๋‹ค. ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ๋Š” ์ง๊ฒฝ์ด ์ˆ˜ ๋‚˜๋…ธ๋ฏธํ„ฐ์ด๋ฉฐ, ์ข…ํšก๋น„๊ฐ€ ๋งค์šฐ ํฐ ํŠœ๋ธŒ ํ˜•ํƒœ์˜ ํƒ„์†Œ ๋™์†Œ์ฒด์ด๋‹ค. ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ๋Š” ๋›ฐ์–ด๋‚œ ์ „๊ธฐ์ , ๊ธฐ๊ณ„์  ๋ฌผ์„ฑ์„ ๊ฐ€์ง„ ์žฌ๋ฃŒ๋กœ์จ, ์ด๋ฅผ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์— ์‘์šฉํ•˜๋ ค๋Š” ์‹œ๋„๊ฐ€ ์ด์–ด์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” 2์ฐจ์› ๊ตฌ์กฐ๋ฌผ์ธ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ๋ฅผ ์ œ์ž‘ํ•˜์—ฌ ์—ฐ๊ตฌ์— ํ™œ์šฉํ•˜๊ณ ์ž ํ•˜์˜€์œผ๋ฉฐ, ์ผ์ถ• ์ •๋ ฌ๋œ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ๋ฅผ ์ˆ˜์‹ญ ฮผm ๋‘๊ป˜์˜ ์–‡์€ ํ•„๋ฆ„ ํ˜•ํƒœ๋กœ ์ œ์ž‘ํ•˜์˜€๋‹ค. ๋Œ€์ „๋œ ๋ฌผ์ฒด๊ฐ€ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ ๊ทผ์ฒ˜์—์„œ ์ผ์ • ๊ฑฐ๋ฆฌ ๊ฐ„๊ฒฉ์„ ๋‘๊ณ  ์ด๋™ํ•จ์œผ๋กœ์จ ๋ฐœ์ƒํ•˜๋Š” ์ „๊ธฐ์  ๋ณ€ํ™”๋ฅผ ์ด์šฉํ•˜์—ฌ, ์ด๋ฅผ ์—๋„ˆ์ง€ ์ˆ˜์ง‘์†Œ์ž๋กœ์จ ํ™œ์šฉํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์•ˆํ•œ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์†Œ์ž๋Š” ์ •์ „๊ธฐ๋ ฅ์„ ์ด์šฉํ•˜์—ฌ ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ํ‘œ๋ฉด์˜ ์ฟจ๋กฑ์žฅ์„ ์š”๋™์‹œํ‚ค๊ณ , ์ž์œ  ์ „ํ•˜ ์šด๋ฐ˜์ž์˜ ์ด๋™์„ ์œ ๋„ํ•จ์œผ๋กœ์จ ์ „๋ฅ˜๋ฅผ ๋ฐœ์ƒ์‹œ์ผฐ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ํšจ๊ณผ์ ์ธ ์—๋„ˆ์ง€ ์ˆ˜์ง‘์ด ๊ฐ€๋Šฅํ•จ์„ ์‹คํ—˜์ ์œผ๋กœ ์ฆ๋ช…ํ•˜์˜€๊ณ , ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ์˜ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์žฌ๋ฃŒ๋กœ์จ ์‘์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜์˜€๋‹ค.๊ตญ๋ฌธ์ดˆ๋ก i ๋ชฉ ์ฐจ iii List of Figures v List of Tables vii 1 ์„œ๋ก  1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2 ๋…ผ๋ฌธ์˜ ๊ตฌ์„ฑ 2 2 ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ 3 2.1 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ (Carbon nanotube, CNT) 3 2.2 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ (Carbon nanotube sheet, CNT sheet) 7 2.2.1 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ์˜ ๋ฌผ์„ฑ 8 2.3 ์ •์ „๊ธฐ (static electricity) 9 2.4 ๋‚˜๋…ธํƒ„์†Œ์žฌ๋ฃŒ๋ฅผ ํ™œ์šฉํ•œ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์†Œ์ž 12 3 ์‹คํ—˜๋ฐฉ๋ฒ• 13 3.1 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ ๊ธฐ๋ฐ˜ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์†Œ์ž ์ œ์ž‘ 13 3.1.1 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ํ•ฉ์„ฑ 13 3.1.2 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ ์ œ์ž‘ 17 3.1.3 ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ์†Œ์ž ์ œ์ž‘ 20 3.2 ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ๊ณผ์ • 20 4 ๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 22 4.1 ์—๋„ˆ์ง€ ์ˆ˜์ง‘์†Œ์ž ํŠน์„ฑ 22 4.1.1 ์œ ๋„ ์ „์•• 22 4.1.1.1 ๊ฑฐ๋ฆฌ์— ๋”ฐ๋ฅธ ์˜ํ–ฅ 24 4.1.1.2 ๋Œ€์ „๋Ÿ‰์— ๋”ฐ๋ฅธ ์˜ํ–ฅ 26 4.1.1.3 ํƒ„์†Œ๋‚˜๋…ธํŠœ๋ธŒ ์‹œํŠธ์˜ ๊ฒน์ˆ˜์— ๋”ฐ๋ฅธ ์˜ํ–ฅ 28 4.1.1.4 ๋“œ๋ž˜๊ทธ ์†๋„์— ๋”ฐ๋ฅธ ์˜ํ–ฅ 31 4.1.2 ์ถœ๋ ฅ ์ „๋ ฅ 34 4.2 ์ด์ข… ์žฌ๋ฃŒ์™€ ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ํŠน์„ฑ ๋น„๊ต 36 4.3 ์—๋„ˆ์ง€ ์ˆ˜์ง‘ ๋ฉ”์ปค๋‹ˆ์ฆ˜ 39 5 ๊ฒฐ๋ก  45 ์ฐธ๊ณ ๋ฌธํ—Œ 46 Abstract 47Maste

    Relationship between anger and resilience of patients with colorectal cancer

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    ๊ฐ„ํ˜ธํ•™๊ณผ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€์žฅ์•” ํ™˜์ž์˜ ๋ถ„๋…ธ์™€ ํšŒ๋ณตํƒ„๋ ฅ์„ฑ ์ •๋„๋ฅผ ํ™•์ธํ•˜๊ณ , ๋ถ„๋…ธ์™€ ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•œ ์„œ์ˆ ์  ์ƒ๊ด€๊ด€๊ณ„ ์—ฐ๊ตฌ์ด๋‹ค. ์—ฐ๊ตฌ ๋„๊ตฌ๋กœ๋Š” ๋ถ„๋…ธ๋ฅผ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ Spielberger(1988)๊ฐ€ ๊ฐœ๋ฐœํ•œ ์ƒํƒœ-ํŠน์„ฑ ๋ถ„๋…ธํ‘œํ˜„ ์ฒ™๋„(State-Trait Anger Expression Inventory, STAXI)๋ฅผ ์ „๊ฒธ๊ตฌ ์™ธ(1997)๊ฐ€ ๋ฒˆ์•ˆ, ํ‘œ์ค€ํ™”ํ•œ ํ•œ๊ตญํŒ STAXI๋ฅผ ์‚ฌ์šฉํ•˜์˜€๊ณ , ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ Connor & Davidson(2003)์— ์˜ํ•ด ๊ฐœ๋ฐœ๋œ Connor-Davidson Resilience scale์„ ๋ฐฑ๊ฒฝ์ˆ™ ๋“ฑ(2010)์ด ๋ฒˆ์•ˆ, ํ‘œ์ค€ํ™”ํ•œ ํ•œ๊ตญํŒ์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์ž๋ฃŒ ์ˆ˜์ง‘์€ ์„œ์šธ ์†Œ์žฌ Y๋Œ€ํ•™๋ณ‘์›์— ๋Œ€์žฅ์•”์„ ์ง„๋‹จ๋ฐ›๊ณ  ์ˆ˜์ˆ ์„ ๋ฐ›๊ธฐ ์œ„ํ•ด ์ž…์›ํ•œ ๋งŒ 19์„ธ ์ด์ƒ์˜ ์„ฑ์ธ ํ™˜์ž 108๋ช…์„ ๋Œ€์ƒ์œผ๋กœ 2017๋…„ 9์›” 29์ผ๋ถ€ํ„ฐ 2017๋…„ 11์›” 30์ผ๊นŒ์ง€ ์ด๋ฃจ์–ด์กŒ๋‹ค. ์ˆ˜์ˆ  ์ „๋‚ ์— ๊ตฌ์กฐํ™”๋œ ์ž๊ฐ€๋ณด๊ณ ์‹ ์„ค๋ฌธ์ง€๋ฅผ ์ด์šฉํ•˜์—ฌ, ๋ฐฐ๋ถ€๋œ ์ด 108๋ถ€์˜ ์„ค๋ฌธ์ง€ ์ค‘ 103๋ถ€์˜ ์„ค๋ฌธ์ง€๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” IBM SPSS statistics program 23.0์„ ์ด์šฉํ•˜์—ฌ ๊ธฐ์ˆ ํ†ต๊ณ„, ํ‰๊ท ๊ฒ€์ •(independent t-test), ๋ถ„์‚ฐ๋ถ„์„(one-way ANOVA), ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„(multiple linear regression) ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. 1) ๋Œ€์ƒ์ž๋Š” ๋‚จ์ž๊ฐ€ 50.5%, ์—ฌ์ž๊ฐ€ 49.5%์ด๊ณ , ํ‰๊ท  ์—ฐ๋ น์€ 58.57์„ธ์˜€๋‹ค. ๋ฌด๊ต๊ฐ€ 38.8%์œผ๋กœ ๊ฐ€์žฅ ๋งŽ์•˜๊ณ , ๋Œ€์ƒ์ž์˜ 75.9%๊ฐ€ ๊ณ ๋“ฑํ•™๊ต ์กธ์—…์ด์ƒ์˜ ํ•™๋ ฅ์ด์—ˆ๊ณ , 59.2%์˜ ๋Œ€์ƒ์ž๊ฐ€ ์ง์—…์ด ์žˆ์—ˆ๋‹ค. ๋Œ€์ƒ์ž์˜ 79.6%๊ฐ€ ๊ธฐํ˜ผ์ƒํƒœ๋กœ, ์ฃผ ๋Œ๋ด„ ์ œ๊ณต์ž๋„ ๋ฐฐ์šฐ์ž์ธ ๊ฒฝ์šฐ๊ฐ€ 74.8%๋กœ ๊ฐ€์žฅ ๋งŽ์•˜๋‹ค. ๋Œ€์ƒ์ž์˜ 53.4%๊ฐ€ ์ง์žฅ์•”, 46.6%๊ฐ€ ๊ฒฐ์žฅ์•”์ด์—ˆ๊ณ , 74.8%๊ฐ€ ๋Œ€์žฅ์•” ์ง„๋‹จ ์ „ ์ฆ์ƒ์„ ๊ฒฝํ—˜ํ•˜์˜€์œผ๋ฉฐ, ๊ทธ์ค‘ 72.8%๊ฐ€ ํ˜ˆ๋ณ€, ๋ณ€๋น„, ๊ฐ€๋Š” ๋ณ€, ์„ค์‚ฌ ๋“ฑ์˜ ๋Œ€๋ณ€์–‘์ƒ์˜ ๋ณ€ํ™”๋ฅผ ๊ฐ€์žฅ ๋งŽ์ด ๊ฒฝํ—˜ํ•˜์˜€๋‹ค. ๋Œ€์ƒ์ž์˜ 76.9%๊ฐ€ ์ž…์›์ผ ๊ธฐ์ค€์œผ๋กœ 3๊ฐœ์›” ๋‚ด์— ์ง„๋‹จ์„ ๋ฐ›์•˜์œผ๋ฉฐ, 85.4%๊ฐ€ ์ „์ด๋˜์ง€ ์•Š์€ ์ƒํƒœ์˜€๋‹ค. 2) ๋Œ€์ƒ์ž์˜ ์ƒํƒœ๋ถ„๋…ธ๋Š” 40์  ๋งŒ์ ์— ํ‰๊ท  13.71ยฑ4.94์ ์ด์—ˆ๊ณ , ํŠน์„ฑ๋ถ„๋…ธ๋Š” 40์  ๋งŒ์ ์— ํ‰๊ท  19.72ยฑ6.48์ , ๋ถ„๋…ธํ‘œํ˜„์€ 96์  ๋งŒ์ ์— ํ‰๊ท  47.38ยฑ8.65์ ์ด์—ˆ๋‹ค. ํŠน์„ฑ๋ถ„๋…ธ์˜ ํ•˜์œ„ ์˜์—ญ๋ณ„๋กœ๋Š” ๋ถ„๋…ธ๊ธฐ์งˆ ํ‰๊ท  10.61ยฑ3.59์ , ๋ถ„๋…ธ๋ฐ˜์‘ ํ‰๊ท  9.11 ยฑ3.26์ ์ด์—ˆ๊ณ , ๋ถ„๋…ธํ‘œํ˜„์˜ ํ•˜์œ„ ์˜์—ญ๋ณ„๋กœ๋Š” ๋ถ„๋…ธ์–ต์ œ ํ‰๊ท  16.57ยฑ3.46์ , ๋ถ„๋…ธํ‘œ์ถœ ํ‰๊ท  15.05ยฑ3.40์ , ๋ถ„๋…ธ์–ต์ œ ํ‰๊ท  15.76ยฑ3.33์ ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€์ƒ์ž์˜ ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์€ 100์  ๋งŒ์ ์— ํ‰๊ท  65.95ยฑ16.51์ ์ด์—ˆ๋‹ค. 3) ๋Œ€์ƒ์ž์˜ ์ƒํƒœ๋ถ„๋…ธ๋Š” ์—ฌ์ž๋ณด๋‹ค ๋‚จ์ž๊ฐ€(t=2.329, p=.022) ๋†’์•˜๊ณ , ๋ฌด๊ต์ธ ๊ฒฝ์šฐ๊ฐ€ ์ข…๊ต๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ๋ณด๋‹ค ๋†’์•˜์œผ๋ฉฐ(t=-2.683, p=.009), ์ฃผ ๋Œ๋ด„ ์ œ๊ณต์ž๊ฐ€ ๊ฐ€์กฑ์ด ์•„๋‹Œ ๊ฒฝ์šฐ๋ณด๋‹ค ๊ฐ€์กฑ์ธ ๊ฒฝ์šฐ๊ฐ€ ๋†’์•˜๋‹ค(t=2.865, p=.013). ์ฒ˜์Œ ์ง„๋‹จ๋ฐ›์•˜์„ ๋‹น์‹œ ๋‚ด์‹œ๊ฒฝ ์‹œ์ˆ ๋งŒ์œผ๋กœ๋„ ์•” ์ œ๊ฑฐ๊ฐ€ ๊ฐ€๋Šฅํ•˜๋‹ค๊ณ  ์ง„๋‹จ๋ฐ›์€ ๊ฒฝ์šฐ๊ฐ€ ๋‹ค๋ฅธ ๊ฒฝ์šฐ๋“ค๋ณด๋‹ค ์ƒํƒœ๋ถ„๋…ธ๊ฐ€ ๋†’์•˜์œผ๋ฉฐ(F=2.967, p=.036), ์žฅ๋ฃจ ํ˜•์„ฑ์— ๋Œ€ํ•œ ๊ฑฑ์ •๊ณผ ๋‘๋ ค์›€์— ๋Œ€ํ•ด ๊ฑฐ์˜ ๊ฑฑ์ •ํ•˜์ง€ ์•Š๋Š” ๋Œ€์ƒ์ž๊ฐ€ ์ „ํ˜€ ๊ฑฑ์ •ํ•˜์ง€ ์•Š๋Š” ๋Œ€์ƒ์ž๋ณด๋‹ค ์ƒํƒœ๋ถ„๋…ธ๊ฐ€ ๋†’์•˜๋‹ค(F=3.213, p=.026). ํŠน์„ฑ๋ถ„๋…ธ๋Š” ์—ฌ์ž๋ณด๋‹ค ๋‚จ์ž๊ฐ€ ๋†’์•˜๊ณ (t=2.317, p=.023), ๋ฌด๊ต์ธ ๊ฒฝ์šฐ๊ฐ€ ์ข…๊ต๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ๋ณด๋‹ค ๋†’์•˜์œผ๋ฉฐ(t=-2.568, p=.013), ์žฅ๋ฃจํ˜•์„ฑ์— ๋Œ€ํ•œ ๊ฑฑ์ •๊ณผ ๋‘๋ ค์›€์— ๋Œ€ํ•ด ๊ฑฐ์˜ ๊ฑฑ์ •ํ•˜์ง€ ์•Š๋Š” ๋Œ€์ƒ์ž๊ฐ€ ๊ฐ€์žฅ ๋†’์•˜๋‹ค(F=4.134, p=.008). ๋ถ„๋…ธํ‘œํ˜„์€ ์ง„๋ฃŒ๋น„๋ฅผ ๋ณธ์ธ์ด๋‚˜ ๋ณดํ—˜์œผ๋กœ ๋ถ€๋‹ดํ•˜๋Š” ๊ฒฝ์šฐ๋ณด๋‹ค ์ž๋…€๋‚˜ ๋ถ€๋ชจ, ์ง์žฅ ๋“ฑ์—์„œ ์ง€์›๋ฐ›์•„ ๋ถ€๋‹ดํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋†’์•˜๋‹ค(F=4.662, p=.012). 4) ๋Œ€์ƒ์ž์˜ ๋ถ„๋…ธ์™€ ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์˜ ๊ด€๊ณ„๋Š” ์ƒํƒœ๋ถ„๋…ธ(ฮฒ=-.392, p=.004)์™€ ๋ถ„๋…ธํ‘œ์ถœ(ฮฒ=-.337, p=.019)์˜ ์ˆ˜์ค€์ด ๋‚ฎ์„์ˆ˜๋ก, ๋ถ„๋…ธ์กฐ์ ˆ(ฮฒ=.374, p=.005)์˜ ์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์ด ๋†’์•„์ง€๋ฉฐ, 13.8%์˜ ์„ค๋ช…๋ ฅ์„ ๋ณด์˜€๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ๋Œ€์žฅ์•” ํ™˜์ž์˜ ๊ฒฝ์šฐ ๋‚จ์ž๊ฐ€ ์—ฌ์ž๋ณด๋‹ค, ์ข…๊ต๊ฐ€ ์—†๋Š” ๋Œ€์ƒ์ž๊ฐ€ ์ข…๊ต๊ฐ€ ์žˆ๋Š” ๋Œ€์ƒ์ž๋ณด๋‹ค ์ƒํƒœ๋ถ„๋…ธ์™€ ํŠน์„ฑ๋ถ„๋…ธ ๋ชจ๋‘ ๋†’์•˜๋‹ค. ๋Œ€์žฅ์•” ํ™˜์ž์˜ ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์€ ์ƒํƒœ๋ถ„๋…ธ, ๋ถ„๋…ธํ‘œ์ถœ์ด ๋‚ฎ์„์ˆ˜๋ก, ๋ถ„๋…ธ์กฐ์ ˆ์ด ๋†’์„์ˆ˜๋ก ๋†’์•˜๋‹ค. ๋”ฐ๋ผ์„œ ํšจ๊ณผ์ ์œผ๋กœ ๋Œ€์žฅ์•” ํ™˜์ž์˜ ๋ถ„๋…ธ๋ฅผ ์กฐ์ ˆํ•˜์—ฌ ํšŒ๋ณตํƒ„๋ ฅ์„ฑ์„ ๋†’์ผ ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•˜๋Š” ๊ฐ„ํ˜ธ ์ค‘์žฌ์˜ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•˜๋‹ค.open์„
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