" Various measures of dispersion are also reviewed, with an explanation of whether the research supports or disproves the hypotheses explored. Variables - Independent and Dependent

The data collected reflects the independent and dependent variables explored for purposes of this study. The independent variables explored include: sex and gender of study participants, ethnicity of participants, socioeconomic status and religious or moral practices. The dependent variables explored include: participants age, the type of justice used (restorative model or correctional models).

Statistical Analysis/Means/Mode/Median

The statistical analysis measures the frequency distribution for "numeric" discrete variables and "categorical variables" labeled (e.g. A_AGE) (USFR, 2001:3). All variables are un-weighted for purposes of this study. Table 1.1 below provides the statistical...

ATYPE represents the type of justice system reviewed among all participants, R-restorative, C-correctional and RH-rehabilitative.
Table 1.1 - Frequency Distributions for Independent and Dependent Variables - Rehabilitative or Criminal Justice Type Utilized and Explored

TYPE

Frequency

Percent

Cumulative F

RH

Missing: 23

Using the information above, Cumulative F. represents the cumulative frequency given the population count of 200 participants of the 223 requested in the study. Thus the frequency of data missing (data that does not provide conclusive evidence regarding the source of rehabilitation used and outcome) include 23 representing approximately 10.4% of the population surveyed. Central tendency figures suggest a majority (i.e.