Author(s): Inc. SPSS
Edition: 1
Publisher: Prentice Hall
Year: 2004
Language: English
Pages: 60
Title page......Page 1
Table of Contents......Page 7
1. Choosing a Procedure for Binary Logistic Regression Models......Page 11
2. Logistic Regression......Page 13
Logistic Regression Variable Selection Methods......Page 16
Logistic Regression Define Categorical Variables......Page 17
Logistic Regression Save New Variables......Page 19
Logistic Regression Options......Page 20
LOGISTIC REGRESSION Command Additional Features......Page 21
3. Multinomial Logistic Regression......Page 23
Multinomial Logistic Regression Models......Page 25
Multinomial Logistic Regression Reference Category......Page 27
Multinomial Logistic Regression Statistics......Page 28
Multinomial Logistic Regression Criteria......Page 30
Multinomial Logistic Regression Options......Page 31
Multinomial Logistic Regression Save......Page 33
NOMREG Command Additional Features......Page 34
4. Probit Analysis......Page 35
Probit Analysis Define Range......Page 37
Probit Analysis Options......Page 38
PROBIT Command Additional Features......Page 39
5. Nonlinear Regression......Page 41
Conditional Logic (Nonlinear Regression)......Page 43
Nonlinear Regression Parameters......Page 44
Nonlinear Regression Common Models......Page 45
Nonlinear Regression Loss Function......Page 46
Nonlinear Regression Parameter Constraints......Page 47
Nonlinear Regression Options......Page 48
Interpreting Nonlinear Regression Results......Page 49
NLR Command Additional Features......Page 50
6. Weight Estimation......Page 51
WLS Command Additional Features......Page 54
7. Two-Stage Least-Squares Regression......Page 55
2SLS Command Additional Features......Page 57
Deviation......Page 59
Simple......Page 60
Helmert......Page 61
Polynomial......Page 62
Repeated......Page 63
Special......Page 64
Indicator......Page 65
Index......Page 67
