SPSS regression models 12.0

✍ Scribed by SPSS Inc

• Publisher: SPSS Inc
• Year: 2003
• Tongue: English
• Leaves: 71
• Category: Library

✦ Synopsis

This manual provides a guide to the various statistical techniques available with SPSS Regression Models and explains how to obtain the appropriate statistical analyses with the dialog box interface. Statistical procedures in this module include: multinomial logistic regression, binary logistic regression, nonlinear regression, two-stage least squares, probit, and weighted least squares

✦ Table of Contents

Table of Contents......Page 7
1. Choosing a Procedure for Binary Logistic Regression Models......Page 11
2. Logistic Regression......Page 13
Obtaining a Logistic Regression Analysis......Page 14
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
Multinomial Logistic Regression Data Considerations......Page 23
Obtaining a Multinomial Logistic Regression......Page 24
Multinomial Logistic Regression Models......Page 25
Multinomial Logistic Regression Reference Category......Page 27
Multinomial Logistic Regression Statistics......Page 28
Multinomial Logistic Regression Criteria......Page 29
Multinomial Logistic Regression Options......Page 31
Multinomial Logistic Regression Save......Page 32
NOMREG Command Additional Features......Page 33
Probit Analysis Data Considerations......Page 35
Obtaining a Probit Analysis......Page 36
Probit Analysis Options......Page 38
PROBIT Command Additional Features......Page 39
5. Nonlinear Regression......Page 41
Obtaining a Nonlinear Regression Analysis......Page 42
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 Save New Variables......Page 48
Nonlinear Regression Options......Page 49
NLR Command Additional Features......Page 50
Weight Estimation Data Considerations......Page 53
Obtaining a Weight Estimation Analysis......Page 54
WLS Command Additional Features......Page 56
7. Two-Stage Least-Squares Regression......Page 57
Obtaining a Two-Stage Least-Squares Regression Analysis......Page 58
2SLS Command Additional Features......Page 60
Deviation......Page 61
Simple......Page 62
Helmert......Page 63
Polynomial......Page 64
Repeated......Page 65
Special......Page 66
Indicator......Page 67
Index......Page 69