The data collected from Behavioral Treatment Services (BTS) was manually entered to help the researcher analyze the data. The data was organized into columns and described using the following nominal variables as column headings: treatment outcome, trauma cohort, ethnicity, and race. education level, and referral source. The trauma cohort was coded as 0 for no trauma group and 1 for trauma group. Age and education level were entered using the numerical value pulled from BTS archives with U indicating any age or education level which was unspecified. Treatment outcome was coded as either 0 for unsuccessfully completed or 1 for successfully completed treatment. Ethnicity was coded using alphanumerical values: W for White, H for Hispanic, B for
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Five frequency (f) tables will be constructed for univariate analysis. Standard deviation (SD) will be calculated for treatment outcomes. The standard deviation will allow the researcher to examine how much the individual values of the tables differ from the mean and other values (Royse, 2010). Percentage (%) will be calculated for all nominal variables to help visual the data through historgrams. Mean (M) will be calculated for age and education level which will help determine the average of each nominal variable. Mode will be calculated for age, education level, ethnicity and referral source. From the frequency (f) distribution table and data table, bar charts and pie graphs will be generated to help visual the …show more content…
The mode of the participants showed that White was the largest represented race at 65%. The second most represented ethnicity in the study was Hispanic or Latina at 10% and Native American was the third most represented at 5%. The analysis showed that 20% of the participants did not have an ethnicity specified as represented in Figure 2. Figure 3 shows the breakdown of participant characteristics by education level. From Figure 3, we can see that 6 participants, or 30%, of participants had a high school education, 20% had 11th grade education or less, 25% of participants had some college education, and 25% of participants did not specify an education
Five frequency (f) tables will be constructed for univariate analysis. Standard deviation (SD) will be calculated for treatment outcomes. The standard deviation will allow the researcher to examine how much the individual values of the tables differ from the mean and other values (Royse, 2010). Percentage (%) will be calculated for all nominal variables to help visual the data through historgrams. Mean (M) will be calculated for age and education level which will help determine the average of each nominal variable. Mode will be calculated for age, education level, ethnicity and referral source. From the frequency (f) distribution table and data table, bar charts and pie graphs will be generated to help visual the …show more content…
The mode of the participants showed that White was the largest represented race at 65%. The second most represented ethnicity in the study was Hispanic or Latina at 10% and Native American was the third most represented at 5%. The analysis showed that 20% of the participants did not have an ethnicity specified as represented in Figure 2. Figure 3 shows the breakdown of participant characteristics by education level. From Figure 3, we can see that 6 participants, or 30%, of participants had a high school education, 20% had 11th grade education or less, 25% of participants had some college education, and 25% of participants did not specify an education