[R] logit model interpretation 
Hello everyone

I appologize for my lack of experience in statistical methods. I am an R
user begginer and I am running a logit model using "zelig"  and "pcse"
packages. I will go to the point and is that Im having problems with
interpreting the results of my models.. It is really simple (I guess for the
most advanced scholars) however I really dont understand how to interpret
the coefficients.

here is my output

Call:
zelig(formula = newtrst ~ stfdem + stfgov + clsprty, model = "logit", 
    data = spadat)

Deviance Residuals: 
   Min      1Q  Median      3Q     Max  
-2.784   0.318   0.410   0.540   1.460  

Coefficients:
            Estimate Std. Error z value Pr(>|z|)    
(Intercept)  -0.6434     0.2427   -2.65    0.008 ** 
stfdem        0.2447     0.0441    5.55  2.8e-08 ***
stfgov        0.2050     0.0468    4.38  1.2e-05 ***
clsprty       0.4173     0.1649    2.53    0.011 *  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 1112.46  on 1427  degrees of freedom
Residual deviance:  996.02  on 1424  degrees of freedom
AIC: 1004

Number of Fisher Scoring iterations: 5


Thanks

violeta


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