QUANTITATIVE METHODS

Quantitative Methods in Politics

Quantitative Methods in Politics

Introduction

The data set has been extracted from British Crime Survey 'Young Adult Booster' 2007-2008; it consists of 19 variables with 5700 observations. The variables in the data set are scale and categorical. Descriptive statistics for the data set which will provide us the overall picture of the given data. Once you have collected the values ??taken by variables in our study (data), proceed to the descriptive analysis of them. For categorical variables such as sex or ethnicity, you want to know the number of cases in each of the categories, usually reflecting their percentage of the total, and expressed in a frequency table (See Appendix: Table 1).

The table shows the frequency distribution for the variable of Gender which we have represented as “Sex”, the results show that our data set consists of approximately 53% of the female respondents while, 47% male have been surveyed in the data. The table represents the frequency distribution for the variable of age as it is a scale variable. It can be seen through the table that the majority of the respondents belong to teen age group, as approximately 49% of the respondents cumulatively representing the teen age group (See Appendix: Table 2).

The table represents the frequency distribution for the variable of Ethnic Origin. It is very clear from the table that the survey covers the majority of White British respondents. Approximately 85% of the total respondents in the data set representing White British Ethnic Origin, while only 0.2% are the representatives of Mixed- White and Black African (See Appendix: Table 3). To find out the income level of the respondents we would consider the table, the results show that about 35% of the total respondents either don't know or have refused to declare their household income. Whereas, it has been clarified from the table that the annual household income of approximately13 per cent of the respondents are under £10000. However, 2.4 per cent of the respondents have no income or paid through special schemes (See Appendix: Table 4).

Results

Creation of a variable showing each respondent's total violence victimization (common assault and wounding)

According to the analysis of the data it can be interpreted that while combining the two variables (common assault and wounding) a new variable was generated. This variable comprises the statistics of the people victimized from common assault and wounding. According to the analysis of the data, a total of 5700 people were victimized. In addition, the mean of the data is 0.0711, median is 0.000 and mode is 0.00. The frequency distribution of the people, victimized from common assault, and wounding as illustrated in the table (See Appendix: Table 5, 6 and the histogram).



Is there a significant gender difference in violent victimization risk?

In order to find out the significant gender difference in violent victimization risk we have applied the Chi-Square test through Crosstabs function, in this test the study assesses the distribution of categorical characteristics relative to other categorical characteristics of ...