The Effectiveness of the R.E.A.D.Y and Crossroads Tour Program (Essay Sample)

The Effectiveness of the R.E.A.D.Y and Crossroads Tour Program
Submitted to the
Faculty of Argosy University Campus in Partial Fulfillment of the Requirements for the Degree of
Doctor of Education
Doctor of Counseling Psychology
Timeka Rabb-Afflick
Argosy University Online (Phoenix Campus)
June 2012
Dissertation Committee Approval:
Dissertation Chair: Dr. Kate Andrews, PhD
Committee Member:
Committee Member:
Program Chair:
Chapter Four
Introduction
This research was carried out in a bid to determine the efficacy of the R.E.A.D.Y. and Crossroads Tour Programs in rehabilitating Juvenile delinquents guilty of petty and serious offenses. The study aimed at comparing these programs in terms of their efficiency and psychological effects on the Juveniles. In addition, the study purposed to identify the weaknesses of the R.E.A.D.Y. and Crossroads Tour Programs and hence recommend for improvement. Upon completion of the study, there was collection and analysis of the data collected for answering all the research questions.
This proposed quantitative comparative study attempted to evaluate and determine the most effective juvenile intervention program that is being implemented in adjacent communities. This study aims to resolve the stipulated problems:
What are the effects of the R.E.A.D.Y and Crossroads Tour intervention programs on the local juvenile delinquency rates?
Which of the intervention programs is the most effective?
To determine the significant differences between the outcomes of the R.E.A.D.Y and Crossroads Tour programs, this study aims to test the following hypotheses:
Hypothesis 1:
After either program is completed, local juvenile delinquency rates will be significantly different in areas where the R.E.A.D.Y. program or Crossroads Tour interventions have taken place compared to the delinquency rates before the programs were implemented.
Hypothesis 2:
Juvenile delinquency rates in the area where R.E.A.D.Y program is instituted will be different from the juvenile delinquency rates in areas where Crossroads Tour program is implemented.
The organized data will be encoded into the statistical package for the social sciences (SPSS) program and t-tests will be used in comparing the groups of independent variables. However, the data on the number of juveniles who participated in the two programs will be analyzed by use of excel. The t-tests will be essential in comparing the differences between the groups of the independent variables. This is because the samples being compared were collected independently. A paired t-test will help to establish a direct relationship between each data. This will be appropriate because one point of data will point to the second set .A significance level of .05 will be used as the critical mark in assessing a significant statistical difference. The paired t-test will assume that the population is normally distributed and a statistical difference between groups would mean that it is accounted for by the difference in the independent variables.
Demographics
The population of the study included 1,033 juvenile delinquents who participated in the Richland County Sheriff’s Department R.E.A.D.Y and Crossroads Tour programs from 2008 to 2010.
Table 1
No. of juveniles who participated in the R.E.A.D.Y. Juvenile Program
GENDERYEARMALEFEMALETOTAL2008935614920091631052682010145118263
Table 2
No. of juveniles arrested after undergoing the R.E.A.D.Y. Juvenile Program
GENDERYEARMALEFEMALETOTAL200811415200914418201029433
Table 3
Percentage of Juveniles corrected by the R.E.A.D.Y. Program
GENDERYEARMALE (%)FEMALE (%)200888932009919620109998Table 4
Percentage of Juveniles corrected under the R.E.A.D.Y. Program over the years
YEARTOTAL (%)200890200993201099Figurative analysis of the data observed during the survey on R.E.A.D.Y juvenile program.
 EMBED Excel.Chart.8 \s 

Figure 1: No. of juveniles who participated in the R.E.A.D.Y Juvenile Program


Figure 2: Percentage of Male and Female Juveniles corrected under the R.E.A.D.Y. program


Figure 3: Efficacy of the R.E.A.D.Y program as a function of time


Figure 4: Percentage of Male and Female Juveniles arrested after the R.E.A.D.Y. Program
Table 5
No. of juveniles who participated in the Crossroads Program
GENDERYEARMALEFEMALETOTAL20083822602009623395201014949198
Table 6
No. of Juveniles arrested after undergoing the Crossroads Program
GENDERYEARMALEFEMALETOTAL2008628200912416201029433
Table 7
Percentage of Juveniles corrected by the Crossroads Program
GENDERYEARMALE (%)FEMALE (%)200884912009818820108191
Table 8
Efficacy of the Crossroads Juvenile Program over the years
YEARTOTAL (%)200887200983201083
Table 9
Juvenile Delinquency Rates and corresponding years
YEARJUVENILE DELINQUENCY RATE200636200735200831200933201033
Figurative analysis of the data observed during the survey on crossroad juvenile program.
 EMBED Excel.Chart.8 \s 

Figure 5: No. of juveniles who participated in the Crossroads Program


Figure 6: Percentage of Male and Female Juveniles corrected under the Crossroads program


Figure 7: Efficacy of the Crossroads program as a function of time


Figure 7: Percentage of Male and Female Juveniles arrested after the Crossroad Program


Figure 8: Juvenile Delinquency Rates per 1, 000 Juveniles with corresponding years
R.E.A.D.Y. Juvenile Intervention Program T-Test Results
T-TEST GROUPS=Year (2010) /MISSING=ANALYSIS /VARIABLES=Female Male /CRITERIA=CI (.95).
NotesOutput Created01-Jun-2012 21:58:11CommentsInputActive DatasetDataSet0FilterWeightSplit FileNumber of Rows in Working Data File3Missing Value HandlingDefinition of MissingUser defined missing values are treated as missing.Cases UsedStatistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.SyntaxT-TEST GROUPS=Year(2010)
/MISSING=ANALYSIS
/VARIABLES=Female Male
/CRITERIA=CI (.95).
ResourcesProcessor Time0:00:00.015Elapsed Time0:00:00.014
[DataSet0]
Results adopted from SPSS output 1.70
Group StatisticsYearsNMeanStd. DeviationStd. Error MeanNumber of Female Juveniles>= 20101116.00..< 2010276.5034.64824.500Number of Male Juveniles>= 20101144.00..< 20102115.5047.37633.500Results adopted from SPSS output 1.70
Independent Samples TestLevene's Test for Equality of Variancest-test for Equality of MeansFSig.TNumber of Female JuvenilesEqual variances assumed...931Equal variances not assumed.Number of Male JuvenilesEqual variances assumed...491Equal variances not assumed.
Results adopted from SPSS output 1.70
Independent Samples Testt-test for Equality of MeansdfSig. (2-tailed)Mean DifferenceNumber of Female JuvenilesEqual variances assumed1.52339.500Equal variances not assumed..39.500Number of Male JuvenilesEqual variances assumed1.70928.500Equal variances not assumed..28.500Results adopted from SPSS output 1.70
Independent Samples Testt-test for Equality of Means95% Confidence Interval of the DifferenceStd. Error DifferenceLowerUpperNumber of Female JuvenilesEqual variances assumed42.435-499.691578.691Equal variances not assumed...Number of Male JuvenilesEqual variances assumed58.024-708.761765.761Equal variances not assumed...Results adopted from SPSS output 1.70
Crossroads Juvenile Intervention Program T- Test Results
T-TEST GROUPS=Year (2010) /MISSING=ANALYSIS /VARIABLES=Female Male /CRITERIA=CI (.95).
NotesOutput Created01-Jun-2012 22:02:40CommentsInputActive DatasetDataSet0FilterWeightSplit FileNumber of Rows in Working Data File3Missing Value HandlingDefinition of MissingUser defined missing values are treated as missing.Cases UsedStatistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.SyntaxT-TEST GROUPS=Year(2010)
/MISSING=ANALYSIS
/VARIABLES=Female Male
/CRITERIA=CI (.95).
ResourcesProcessor Time0:00:00.015Elapsed Time0:00:00.017
Results adopted from SPSS output 1.70
Group StatisticsYearsNMeanStd. DeviationStd. Error MeanNumber of Female Juveniles>= 2010145.00..< 2010224.506.3644.500Number of Male Juveniles
>= 20101120.00..< 2010241.0012.7289.000
Independent Samples TestLevene's Test for Equality of Variancest-test for Equality of MeansFSig.tNumber of Female JuvenilesEqual variances assumed..2.630Equal variances not assumed.Number of Male JuvenilesEqual variances assumed..5.068Equal variances not assumed.
Results adopted from SPSS output 1.70
Independent Samples Test
t-test for Equality of MeansdfSig. (2-tailed)Mean DifferenceNumber of Female JuvenilesEqual variances assumed1.23120.500Equal variances not assumed..20.500Number of Male JuvenilesEqual variances assumed1.12479.000Equal variances not assumed..79.000Results adopted from SPSS output 1.70
Independent Samples Testt-test for Equality of Means95% Confidence Interval of the DifferenceStd. Error DifferenceLowerUpperNumber of Female JuvenilesEqual variances assumed7.794-78.535119.535Equal variances not assumed...Number of Male JuvenilesEqual vari...