구조방정식 모형 연구의 실전

머리말 / 3

일러두기 / 9

제1장 모형지정 ············································································11
1.1 구조방정식의 기본 개념 ·····················································12
1.2 모형의 유형 ···································································26
1.3 모형지정 ·······································································43

제2장 재미있는 기초 통계 ······························································53
2.1 변량, 공변량, 피어슨 적률상관계수, 회귀계수 ····························55
2.2 공변량 특성 ···································································68
2.3 피어슨 적률 상관계수, 편상관계수, 부분상관계수 ························76
2.4 상관계수에 영향을 미치는 요인 ············································87
2.5 상관과 인과의 차이 ··························································90
2.6 기타 상관계수의 유형 ························································91

제3장 즐거운 연구의 기초 개념 ·······················································93
3.1 모집단과 표본 ·································································94
3.2 측정의 척도 ··································································106
3.3 측정의 신뢰도와 타당도 ····················································112

제4장 모형식별 ··········································································137
4.1 모형식별 ······································································138
4.2 모수들의 유형과 표기 ·······················································142
4.3 자유 모수와 고정 모수 ·····················································150
4.4 잠재변인의 측정 단위 ·······················································152
4.5 연구모형을 리즈렐식 모형으로 표기해 보기 ·····························154
4.6 모형식별의 지침 ·····························································159

제5장 자료의 점검과 준비 ····························································187
5.1 자료 입력의 정확성 ·························································188
5.2 결측 자료 ·····································································189
5.3 극단값(outliers) ·····························································205
5.4 정상성(normality), 선형성(linearity), 동분산성(Homoscedacity) ···214
5.5 모형 분석을 위한 자료의 준비 ············································226

제6장 모형 추정 ·········································································237
6.1 모형 추정의 기본 원리 ·····················································238
6.2 표본 변량-공변량 행렬(S)을 사용한 모형 추정 ··························244
6.3 표본 변량-공변량 행렬(S)을 사용한 과잉식별 모형 추정 ··············255
6.4 모형 합치 함수 ······························································259

제7장 모형 평가 ·········································································261
7.1 모형 ?? 통계 ································································263
7.2 상대적 적합도 지수(CFI ) ···················································264
7.3 RMSEA ·······································································267
7.4 Tucker Lewis index(TLI ) 또는 non-normed fit index(NNFI ) ···268
7.5 모형 비교 ·····································································269

제8장 jamovi와 친해지기 ·····························································271
8.1 jamovi 소개와 설치 ························································271
8.2 jamovi 프로그램 기초 ······················································274
8.3 분석자료 입력 및 편집 ·····················································288
8.4 자료 입력하기 ································································292
8.5 jamovi에서 엑셀파일 불러오기 ···········································294
8.6 저장 및 출력하기 ····························································294
8.7 자료 처리의 실제 ····························································296
8.8 자료 연산하기 ································································301
8.9 자료 변환하기 ································································312
8.10 결측치가 있는 경우 합산 ·················································316
8.11 jamovi library를 활용한 모듈 설치 ····································319

제9장 중다회귀분석과 결과 기술 ····················································327
9.1 통계 프로그램 활용하기 ····················································327
9.2 통계 결과 작성하기 ·························································335
9.3 통계 결과 해석하기 ·························································339
9.4 학술연구 원고작성의 예 ····················································343

제10장 중다매개모형의 분석과 결과 기술 ··········································347
10.1 통계 프로그램 활용하기 ···················································348
10.2 통계 결과 작성하기 ························································373
10.3 통계 결과 해석하기 ························································376
10.4 학술연구 원고작성의 예 ···················································381

제11장 측정모형의 분석과 결과 기술 ················································387
11.1 분석 절차 ···································································388
11.2 확인적 요인분석을 활용한 측정모형 검증 ······························414
11.3 학술연구 원고작성의 예 ···················································420

제12장 구조모형의 분석과 결과 기술 ················································425
12.1 SEM 모듈 설치와 SEM 분석 ·············································426
12.2 구조모형의 통계결과 작성 및 해석하기 ·································466
12.3 학술연구 원고작성의 예 ···················································473

참고문헌 ···········································································475
찾아보기 ···········································································481

최희철 (HeeCheol Choi)
대구교육대학교를 졸업하고, 단국대학교 대학원 교육학과에서 상담심리전공으로 석사학위와 박사학위를 취득하였다. 현재 광주여자대학교 상담심리학과 교수로 재직 중이다. 평소 구조방정식 모형을 활용하여 상담심리학 관련 횡단연구 및 종단연구 결과를 다양한 학회지에 출판하고 있다. 상담이론, 심리통계, 연구방법론을 지속해서 학부와 대학원에서 강의해 왔다.