묵시지 요인추출을 위한 2단계 방식: 고등학생 자료에 응용

목차

I. 서론

II. 이론적 배경
1. 묵시지는 두가지인가?
2. 묵시지에 대한 선행연구
3. 묵시지의 구조

III. 연구방법
1. 연구절차 개요
·1단계
·2단계
모형수정1
모형수정2
2. 예비조사
3. 묵시지 측정용 시나리오 개발
4. 본조사
1) 1단계 분석: 잔차화된 문항점수들에 탐색적 요인분석
2) 2단계 분석: 원자료에서의 확인적 요인분석

IV. 결과
1. 묵시지요인구조의 탐색
2. 묵시지구조의 확인적 요인분석

IV. 요약 및 토론
참고문헌
Abstract

본문내용

.30 -0.21 -0.02 0.35 1.00
tk92 -0.05 0.04 0.13 0.07 -0.02 0.01 0.15 0.15 0.03 0.26 -0.01 0.17 0.03 -0.03 0.24 0.11 0.04 1.00
tk94 -0.09 0.27 0.10 0.30 0.00 0.28 0.11 0.24 0.11 0.12 -0.12 0.02 0.29 -0.13 0.08 0.32 0.34 0.07
1.00
tk95 -0.11 0.11 0.22 0.09 -0.04 0.02 0.22 0.08 0.03 0.27 -0.03 0.22 0.10 0.00 0.33 0.10 -0.02 0.50
0.00 1.00
tk101 -0.16 0.18 0.16 0.24 -0.01 0.20 0.21 0.23 0.11 0.24 -0.13 0.10 0.16 -0.10 0.20 0.23 0.21 0.30
0.22 0.21 1.00
tk114 -0.15 0.25 0.19 0.22 -0.15 0.20 0.21 0.22 0.06 0.26 -0.27 0.06 0.25 -0.14 0.26 0.25 0.16 0.16
0.28 0.22 0.23 1.00
tk115 -0.07 0.15 0.16 0.28 -0.09 0.21 0.10 0.29 0.10 0.15 -0.18 -0.02 0.23 -0.08 0.14 0.25 0.27 0.04
0.42 0.03 0.19 0.32 1.00
tk122 0.15 -0.10 0.03 -0.10 0.14 -0.19 -0.04 -0.18 -0.07 0.02 0.22 0.07 -0.10 0.26 0.06 -0.14 -0.14 0.10
-0.11 0.04 -0.05 -0.12 -0.19 1.00
tk125 0.01 0.06 0.21 0.04 0.04 0.05 0.20 0.06 0.15 0.24 -0.04 0.14 0.07 -0.01 0.31 0.12 0.07 0.32
0.11 0.27 0.26 0.16 0.06 0.08 1.00
tk134 0.23 -0.02 0.07 -0.08 0.13 0.03 0.01 -0.15 0.06 0.01 0.17 0.15 -0.04 0.19 0.10 -0.07 -0.06 0.00
-0.09 0.04 -0.04 -0.12 -0.10 0.25 0.12 1.00
tk135 -0.02 0.14 0.21 0.13 -0.04 0.16 0.24 0.19 0.10 0.21 -0.08 0.12 0.11 -0.12 0.15 0.16 0.14 0.20
0.17 0.18 0.25 0.20 0.09 -0.02 0.22 0.14 1.00
tk141 0.03 0.24 0.03 0.33 0.00 0.25 0.02 0.31 0.14 0.02 -0.05 -0.07 0.19 -0.12 0.01 0.31 0.15 0.01
0.33 0.00 0.17 0.20 0.23 -0.18 -0.03 -0.14 0.08 1.00
tk142 -0.09 0.24 0.19 0.22 -0.11 0.23 0.30 0.19 0.15 0.23 -0.09 0.05 0.12 -0.11 0.23 0.17 0.09 0.21
0.16 0.27 0.25 0.27 0.16 -0.05 0.24 0.03 0.27 0.17 1.00
tk143 -0.10 0.25 0.07 0.32 0.00 0.43 0.21 0.36 0.23 0.08 -0.19 -0.01 0.21 -0.27 0.09 0.43 0.33 0.06
0.43 0.01 0.28 0.24 0.32 -0.18 0.11 -0.03 0.27 0.30 0.36 1.00
tk151 -0.10 0.26 0.06 0.42 -0.03 0.35 0.16 0.36 0.07 0.06 -0.18 -0.08 0.28 -0.17 0.03 0.37 0.33 0.15
0.39 0.08 0.21 0.23 0.35 -0.16 0.12 -0.10 0.22 0.34 0.19 0.44 1.00
tk155 -0.12 0.29 0.20 0.28 -0.01 0.25 0.34 0.21 0.23 0.30 -0.15 0.15 0.22 -0.14 0.32 0.29 0.15 0.22
0.29 0.29 0.26 0.36 0.24 -0.04 0.27 -0.09 0.26 0.18 0.43 0.29 0.28 1.00
Abstract
Recently there has been much interest in the research of tacit knowledge. For the field of education, tacit knowledge has implications for training students. For industrial area, tacit knowledge(TK) has a lot of implications for selection, performance, and training as well as organizational development. Although the categories of TK have been presented in many forms, there has never been an attempt of extracting TK factors from the empirical data. That is partially because TK inventories are usually tests constructed of multiple testlets. If a test is constructed of testlets, one must take into account the within-testlet effect before doing statistical operations using the data. We propose a two-step approach for factor-analyzing the data of a test constructed from multiple testlets. We demonstrate 5 TK factors and 1 scenario factor by the application of the approach to high school boys' data.

키워드

묵시지요인,   신아리오개발,   초의식