Data Analysis

Cross Tabulation

We have carried out cross-tabulation for several variables of our questionnaires to interpret our finding that we gathered from our respondents. There are two cross-tabulation is carried out to identify the influence of western culture on teenagers. Firstly, we have cross tabulated types of food with age range (Appendix 1). The types of food include burger, chicken chop, bread, noodles and porridge. Based on the cross tabulation’s results, it shows that 1.0% of the respondents between the age of 13 to 18 choose porridge as their most preferred food, 5.0% of them choose noodles, 5.0% of them choose bread, 26.0% of them choose chicken chop and 40.0% of them choose burger. Besides that, 2.0% of them with the age of 19 and above choose porridge, 2.0 % of them choose noodles, 10.0% of them choose chicken chop and there are 9.0% of them choose burger as their most preferred food. However, none of them choose bread as their most preferred food.

Besides that, we have also carried out another cross tabulation between types of beverage with gender and age range to determine the influence of western culture (Appendix 3). As referred to the results, it reveals that 3.0% of the respondents between the ages of 13 to 18 choose mineral water as their preferred celebration beverage, 14.0% choose soft drinks, .23.0% of then choose juice. Besides that, there are 29.0% of respondents between the ages of 13 to 18 choose beer and 8.0% of them choose liquor as their preferred celebration beverage. In addition, for the respondents with the age of 19 and above, 1.0% of them choose mineral water, 2.0% choose soft drink, 6.0% of them choose juice, 10.0% of them choose beer and 4.0% of them choose liquor.

Moreover, in order to know the level of consumption of pornography among the teenagers between the age ranges of 13 to 18, another cross tabulation is carried out between the sum of question 6 and 8 and the age range (Appendix 7). As referred to the results, there are 7.0% of them scored for 1 point. Besides that, there is no respondent scored for 2 points. In addition, there are 1.0% of them scored for 3 points, 1.0% scored for 4 points, 9.0% scored for 5 points, 6.0% of them scored for 6 points. However, there are none of the respondents scored for 7 points. Furthermore, there are 3.0% of respondents scored for 8 points, 5.0% of them scored for 9 points, 15.0% of them scored for 10 points, 3.0% of them scored for 11 points. Additionally, there are 3.0% of the respondents scored for 12 points, 5.0% of them scored for 13 points, 2.0% of them scored for 14 points and there are 17.0% of them scored for full points which are 15 points. 

Lastly, we have also carried out another cross-tabulation with age range against the types of contraceptive items in order to identify the knowledge of contraceptive items of the respondents. As referred to the cross-tabulation result (Appendix 5), it shows that there are 1.0% of the respondents between the ages of 13 to 18 are totally not familiar with the contraceptive items. In addition, there are 25.0% of the them are familiar with 1 item, 34.0% of are familiar with 2 items, 14.0% of them are familiar with 3 items, 3.0% of them familiar with 4 items and there are only 4.0% of the respondents are familiar with all of the 5 contraceptive items stated in the questionnaire. 

On the other hand, for the respondents with the age of 19 and above there are 4.0% of them familiar with 1 contraceptive item, 11.0% of them familiar with 2 items, and 7.0% of them familiar with 3 items. Besides that, there are none of them are familiar with 4 contraceptive items and 1.0% of them familiar with all of the 5 contraceptive items provided in the questionnaire. 

Linear regression 

On the other hand, we have also conducted linear regression for types of food and beverage (IV1) and knowledge of contraceptive items (DV). Based on the ANOVA table (Appendix 9), the value of F statistic which is 5.190 is the regression mean square divided by the residual mean square which is 5.268/1.015. The significant value of the F statistic is 0.025, which is smaller than the standard value, 0.05. Therefore, we can conclude that the independent variable, which is types of beverage and food do explain the variation in the dependent variable which is knowledge of contraceptive items.

The value of R is 0.224. Besides that, the value of R2 which is 0.050 represents how much of the dependent variable can be explained by the independent variable. By referring to the table in (Appendix 9), only 5% of the dependent variable can be explained by independent variable. As referred to the coefficients table, it provides the information on each predictor variable. Both of the constant and types of beverage and food variables are significant to the model as their significant value is less than 0.05. Therefore, we are able to make an equation as follow: 

Risk of Teenage Pregnancy = 1.038 + (0.146 x Types of beverage and food) 

Moreover, we have also conducted linear regression for pornography movie (IV2) and knowledge of contraceptive items (DV). Based on the ANOVA table (Appendix 11), the value of F statistic which is 11.027 is the regression mean square divided by the residual mean square which is 10.594/0.961. The significant value of the F statistic is 0.001, which is smaller than the standard value, 0.05. Therefore, we can conclude that the independent variable, which is pornography movie do explain the variation in the dependent variable which is the knowledge of contraceptive items. 

The value of R is 0.318. Besides that, the value of R2 which is 0.101 represents how much of the dependent variable can be explained by the independent variable. By referring to the table in (Appendix 11), only 10.1% of the dependent variable can be explained by independent variable. As referred to the coefficients table, it provides the information on each predictor variable. Both of the constant and pornography movie variables are significant to the model as their significant value is less than 0.05. Therefore, we are able to generate an equation as follow: 

Risk of Teenage Pregnancy= 1.340+ (0.090 x Pornography Movie)