You can assign these five scores these response, higher score means better.

create a variable 'response': 1=很不好, 2=不好, 3=一般, 4=好, 5=很好

(a、很好；b，好；c，一般；d，不好；e，很不好。)

And then you use t-test to calculate the p value by gender group (male/female), if p < .05, you say the boys and girls are different. (One group is higher). If your response variable is not normally distributed, you can use nonparametric test, Wilcoxon test is the most common one.

SAS code:

proc means data=yourdata;

class gender;

var response;

run;

Proc npar1way data=yourdata wilcoxon;

class gender;

var response;

run;

***Any other way is to compare the percentage of each level, and use 卡方 chi-sqare test for 2 by 5 table (response is 5 levels) or 2 by 2 table (2 levels: one for good, one for not good). And use proc freq in SAS program.

proc freq data=yourdata;

tables gender*response/chisq;

run;

非常感谢，高手啊。

不过，用spss应该怎么做？