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Table 5 Predictors of sexual-related behaviors: differences by gender

From: Prevalence and correlates of sexual behaviors among university students: a study in Hefei, China

  

Male

Female

DV

IV

B

SE

β

t

ΔR 2

B

SE

β

t

ΔR 2

Sexual behaviors

Age

.01

.03

.02

.42

.19

.01

.02

.01

.360

.27

Grade

.40

.32

.05

1.07

 

.44

.28

.07

1.60

 

Discipline

.51

.59

.03

.86

 

-.47

.47

-.04

.99

 

Education aspiration

-1.00

.39

-.09

-2.56*

 

-.53

.39

-.05

-1.35

 

Relationship experience

-4.70

.52

-.29

-9.02***

 

-5.91

.49

-.46

-11.98***

 

Sex education experience

-3.06

.79

-.13

-3.88***

 

-.76

.84

-.03

-.90

 

Area

-1.27

.57

-.07

-2.22*

 

-1.13

.48

-.09

-2.34*

 
 

Time spent online

.87

.31

.09

2.81**

 

-.41

.34

-.04

-1.19

 
  1. Age: 18~19 year-old were coded as “1”, 20~21 years old were coded as “2”, and 22~25 years old were coded as “3”.
  2. Grade: Year1 was code as “1”, Year 2 was codes as “2”, Year 3 was coded as “3”, and Year 4 was coded as “4”.
  3. Discipline: Arts was coded as “0” and Science was coded as “1”.
  4. Education aspiration: Bachelor degree was coded as “1”, Master degree was coded as “2”, and PhD degree was coded as “3”.
  5. Relationship experience: Having relationship experience was coded as “0” and no relationship experience was coded as “1”.
  6. Sex education experience: Having sex education experience was coded as “0” and no sex education experience was coded as “1”.
  7. Area: urban area was coded as “0” and rural area was coded as “1”.
  8. Time spent online: Almost no was coded as “1”, ≤ 2hours was coded as “2”, 2~4 hours was coded as “3”, and ≥ 4hours was coded as “4”.