설문조사 보고서

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설문조사 보고서에 대한 보고서 자료입니다.

목차

목차

Ⅰ 요약 ------------------------------------------ 1

Ⅱ 서론
1. 조사배경 --------------------------------------- 2
2. 의사 결정 문제
3. 조사 목적
4. 모집단
5. 가설
6. 조사의 범위
7. 설문 조사의 계획 --------------------------------- 3
8. 설문 조사 참여자
9. 용어 정의

Ⅲ 본론
1. 표본 설계 -------------------------------------- 4
2. 조사 방법
3. 표본 특성
4. 조사 분석 방법
5. 조사 분석 및 해석 -------------------------------- 5

Ⅳ 결론
1. 요약 ----------------------------------------- 25
2. 제안
3. 한계점

Ⅴ 부록 --------------------------------- 26

본문내용

Limits
F2 4 0.779 0.206 2.946
F2 3 1.281 0.883 1.860
F2 2 1.225 0.969 1.548
로지스틱 분석 sas output (일주일 등교일수와 전공과목)
Model Information
Data Set WORK.A
Response Variable F7 F7
Number of Response Levels 5
Model generalized logit
Optimization Technique Fisher's scoring
Number of Observations Read 65535
Number of Observations Used 595
Response Profile
Ordered Total
Value F7 Frequency
1 5 114
2 4 198
3 3 149
4 2 95
5 1 39
Logits modeled use F7=1 as the reference category.
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Intercept
Intercept and
Criterion Only Covariates
AIC 1794.211 1770.212
SC 1811.765 1805.320
-2 Log L 1786.211 1754.212
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio 31.9991 4 <.0001
Score 31.0984 4 <.0001
Wald 29.6830 4 <.0001
Type 3 Analysis of Effects
Wald
Effect DF Chi-Square Pr > ChiSq
F2 4 29.6830 <.0001
The LOGISTIC Procedure
Analysis of Maximum Likelihood Estimates
Standard Wald
Parameter F7 DF Estimate Error Chi-Square Pr > ChiSq
Intercept 5 1 2.7130 0.5514 24.2074 <.0001
Intercept 4 1 2.8506 0.5339 28.5052 <.0001
Intercept 3 1 2.2411 0.5472 16.7736 <.0001
Intercept 2 1 0.7666 0.5990 1.6382 0.2006
F2 5 1 -0.6280 0.1855 11.4656 0.0007
F2 4 1 -0.4524 0.1751 6.6763 0.0098
F2 3 1 -0.3240 0.1790 3.2752 0.0703
F2 2 1 0.0417 0.1918 0.0472 0.8281
Odds Ratio Estimates
Point 95% Wald
Effect F7 Estimate Confidence Limits
F2 5 0.534 0.371 0.768
F2 4 0.636 0.451 0.897
F2 3 0.723 0.509 1.027
F2 2 1.043 0.716 1.518
The LOGISTIC Procedure
로지스틱 분석 sas output (일주일 등교일수와 교양과목)
Model Information
Data Set WORK.A
Response Variable F22 F22
Number of Response Levels 5
Model generalized logit
Optimization Technique Fisher's scoring
Number of Observations Read 65535
Number of Observations Used 595
Response Profile
Ordered Total
Value F22 Frequency
1 5 121
2 4 190
3 3 161
4 2 85
5 1 38
Logits modeled use F22=1 as the reference category.
Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.
Model Fit Statistics
Intercept
Intercept and
Criterion Only Covariates
AIC 1788.018 1772.558
SC 1805.572 1807.666
-2 Log L 1780.018 1756.558
Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio 23.4602 4 0.0001
Score 22.9345 4 0.0001
Wald 22.0921 4 0.0002
Type 3 Analysis of Effects
Wald
Effect DF Chi-Square Pr > ChiSq
F2 4 22.0921 0.0002
The LOGISTIC Procedure
Analysis of Maximum Likelihood Estimates
Standard Wald
Parameter F22 DF Estimate Error Chi-Square Pr > ChiSq
Intercept 5 1 2.4511 0.5271 21.6220 <.0001
Intercept 4 1 2.3328 0.5147 20.5441 <.0001
Intercept 3 1 2.1409 0.5211 16.8760 <.0001
Intercept 2 1 0.4559 0.5877 0.6017 0.4379
F2 5 1 -0.5042 0.1812 7.7447 0.0054
F2 4 1 -0.2682 0.1727 2.4139 0.1203
F2 3 1 -0.2579 0.1751 2.1712 0.1406
F2 2 1 0.1202 0.1923 0.3908 0.5319
Odds Ratio Estimates
Point 95% Wald
Effect F22 Estimate Confidence Limits
F2 5 0.604 0.423 0.861
F2 4 0.765 0.545 1.073
F2 3 0.773 0.548 1.089
F2 2 1.128 0.774 1.644

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