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1 2 27 ( ) ( ) 59

2 Y n n U i ( ) & smith H 98 Draper N Curran PJ,bauer DJ & Willoughby Kam,Cindy &Robert 23 MT24 Jaccard,J & Rebert T23 Franzese 23 Aiken LS & West SG 99 " Multiple Regression Testing and interpreting Interaction Newbury Park sage Publications" 6

3 2 27 ( ) Y n n U i i Y Stata, Statistica, SPSS, Eviews 6

4 Stepwise Romove Interaction () 2 Y Y Y 2 2, 2 Y 2 i 2 (5 497) 28/29 62

5 ( i j j Y U i 2 3 Y 2 Y 3 Y 2 2 Y Y 2 3 ( ) ( ) http //membersaolcom/imsap/mmrhtm http//wwwchassncsuedu/garson/pa/765/regresshtm

6 64 4 Y Z=2 n (n +) Z n 4 U i Y C ) G E ( S 4 http//wwwtuftsedu/~gdallal/reginterhtm 5

7 2 27 C G C E 2 C S 3 GE 4 C GS 5 C ES 6 C GES 7 C 65

8 6 Y http//wwwrufriceedu/~branton/interaction/faqintprhtm 6 66

9 2 27 Model Model Summary b Adjusted Std Error of R R Square R Square the Estimate 766 a a Predictors (Constant), 234, 3, 2, 3, 34, 4, 24,, 23, 23, 2, 24, 4, 34, 234 b Dependent Variable Y Model Regression Residual Total ANOVA b Sum of Squares df Mean Square F Sig 437E E a 37E E a Predictors (Constant), 234, 3, 2, 3, 34, 4, 24,, 23, 23, 2, 24, 4, 34, 234 b Dependent Variable Y Coefficients a Model (Constant) a Dependent Variable Y Unstandardized Coefficients Standardized Coefficients B Std Error Beta t Sig Y=

10 3 Histogram Dependent Variable 2 Frequency Std Dev = Mean = N = 2879 Regression Standardized Residual () Normal PP Plot of Regression Standardize Dependent Variable 75 Expected Cum Prob Observed Cum Prob (2) 68

11 Partial Regression Plot Dependent Variable (3) 2 Partial Regression Plot Dependent Variable (4) 69

12 2 Partial Regression Plot Dependent Variable (5) 2 Partial Regression Plot Dependent Variable (6) 7

13 Partial Regression Plot Dependent Variable (7) 2 Partial Regression Plot Dependent Variable (8) 7

14 2 Partial Regression Plot Dependent Variable (9) Partial Regression Plot Dependent Variable () 72

15 Partial Regression Plot Dependent Variable () 2 Partial Regression Plot Dependent Variable (2) 73

16 Partial Regression Plot Dependent Variable (3) 2 Partial Regression Plot Dependent Variable (4) 74

17 Partial Regression Plot Dependent Variable (5) 2 Partial Regression Plot Dependent Variable (6) 75

18 2 Partial Regression Plot Dependent Variable (7) (6) (2) Remove Model Summary(e) Model R R Square Adjusted R Square Std Error of the Estimate 766(a) (b) (c) (d)

19 2 27 ANOVA(e) Model Sum of Squares df Mean Square F Sig Regression (a) Residual Total Regression (b) Residual Total Regression (c) Residual Total Regression (d) Residual Model Total Coefficients(a) Standardized Unstandardized Coefficients Coefficients t Sig B Std Error Beta (Constant)

20 2 (Constant) (Constant) (Constant)

21 a Dependent Variable Y Y= Stepwise Model Summary(n) Model R R Square Adjusted R Square Std Error of the Estimate 682(a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) (l) (m)

22 ANOVA(n) Model Sum of Squares df Mean Square F Sig Regression (a) Residual Total Regression (b) Residual Total Regression (c) Residual Total Regression (d) Residual Total Regression (e) Residual Total Regression (f) Residual Total Regression (g) Residual Total Regression (h) Residual Total Regression (i) Residual Total Regression (j) Residual Total

23 2 27 Regression (k) Residual Total Regression (l) Residual Total Regression (m) Residual Total n Dependent Variable Y Model Unstandardized Coefficients Coefficients(a) B Std Error Beta Standardized Coefficients t Sig (Constant) (Constant) (Constant) (Constant) (Constant) (Constant)

24 (Constant) (Constant) (Constant) (Constant) (Constant)

25 (Constant) (Constant) a Dependent Variable Y Y=

26 F t (VIF) Pvalue 7 ( 8 ) 7 Understanding Interaction Models Improving Empirical Analyses Thomas Brambor(New York University, Department of Politics,) William Roberts Clark (University of Michigan, Center for Political Studies), Matt Golder (Florida State University, Department of Political Science,)

27 Pvalue t F (VIF) (52 32)

28 ( ) 5 Y= Y= Y= Stepwise 3 86

29 /28 4 REFERENCES Aiken, L S, and S G West (99) Multiple regression Testing and interpreting interactions Newbury Park Sage Publications 2 Cohen, J (978) Partialed products are interactions; partialed vectors are curve components Psychological Bulletin, 85, Darlington, R B (99) Regression and linear models New York McGrawHill 4 Donald F Burrill Modeling and Interpreting Interactions in Multiple RegressionThe Ontario Institute for Studies in Education Toronto, Ontario Canada 5 Goldberg, A E, & Sayer, A (26) Lesbian couples' relationship quality across the transition to parenthood Journal of Marriage and Family, 68, 87 6 Kennedy, J K, Bolger, N, & Strout, P E (22) Witnessing interparental psychological aggression in childhood Implications for daily conflict in adult intimate relationships Journal of Personality, 7, Paul D Allison Testing for Interaction in Multiple Regression The American Journal of Sociology, Vol 83, No (Jul, 977), pp Story, L B, & Repetti, R (26) Daily occupational stressors and marital behavior Journal of Family Psychology, 2, William Roberts Clark (University of Michigan, Center for Political Studies), Matt Golder (Florida State University, Department of Political Science,) Understanding Interaction Models Improving Empirical Analyses Thomas Brambor(New York University, Department of Politics,),(27) 87

30 http//membersaolcom/imsap/mmrhtm 2http//wwwchassncsuedu/garson/pa/765/regresshtm 3http//wwwtuftsedu/~gdallal/reginterhtm 4http//wwwtuftsedu/~gdallal/reginterhtm 5http//wwwrufriceedu/~branton/interaction/faqintprhtm 29/2/3 88