Participants were surveyed from August to October 2006. In total, 313 surveys were completed during this period. Of these, 83% (261=313) were considered eligible for inclusion in the final analytic sample. Fifty-two TABLE 1 Demographic Characteristics of Project Straight Street Participants (N ¼ 261) N % Sex Female 157 60.2 Male 104 39.8 Race Black=African American 11 4.2 Asian=Pacific Islander 39 15.0 Hispanic=Latino 16 6.2 White=Caucasian 162 62.3 Mixed Ethnicity 23 8.8 Other 9 3.5 Missing 1 0.4 Educational Attainment High school or less 28 10.7 Some college 116 44.4 Bachelor’s degree 85 32.6 Graduate degree 32 12.3 College=University Enrollment Not currently enrolled 72 27.6 Currently enrolled full time 172 65.9 Currently enrolled part time 17 6.5 Employment Status Unemployed 99 37.9 Employed full time 69 26.4 Employed part time 93 35.6 Age 18 24 9.2 19 33 12.6 20 53 20.3 21 32 12.3 22 28 10.7 23 27 10.3 24 32 12.3 25 32 12.3 Drug Use in Heterosexual Emerging Adults 303 participants were excluded either because they did not fit the targeted demographic of the analysis (18 to 25 years old and heterosexually identified), or in a few cases, because their surveys were mostly incomplete (i.e., unfinished or partially filled out) or the answer choices were illegible. Study Participant Characteristics Slightly more than half of the sample (60.2%; N ¼ 157) were female, while 39.8% (N ¼ 104) were male. All participants ranged in age from 18 to 25 years due to the restriction of the sample with a mean age of 21.44 years (SD ¼ 2.22; Median ¼ 20). The majority of the sample was White=Caucasian (62.3%; 162=260), with 15.0% (39=260) identifying as Asian=Pacific Islander (API), 8.8% (23=260) as Mixed Ethnicity, 6.2% (16=260) as Latino=a, 4.2% (11=260) as African American, and 3.5% (9=260) as Other. With regard to educational attainment, the majority of participants had completed either some college (44.4%; 116=261) or had acquired a bachelor’s degree (32.6%; 85=261); 10.7% (N ¼ 28) had acquired a high school diploma or less; and 12.3% (N ¼ 32) had acquired a graduate or professional degree. Of those who participated, 72.4% (N ¼ 189) were currently enrolled in a college or university, with 91.0% of those (N ¼ 172) enrolled full time and 9.0% (N ¼ 17) enrolled part time. The participants in school were slightly younger than those not enrolled (M ¼ 20.88, SD ¼ 2.04 versus M ¼ 22.92, SD ¼ 2.03, t(259) ¼ 7.24, p < .001). In addition, being enrolled in school was related to race (v2 (5) ¼ 14.09, p ¼ .02). Specifically, only 54.5% of the Black participants were enrolled in school as compared to 89.7% of the Asian=Pacific Islander (API) sample, 68.8% of the Latinos, 67.3% of the Whites, 91.3% of mixed-race participants, and 66.7% of those who identified as ‘‘other.’’ However, being enrolled in school was unrelated to gender.Overall, 62% (N ¼ 162) reported being employed. Of the 72 people in our study who were not currently enrolled in school, 59 (82%) were employed and 13 (18%) were not employed. Of those who were not in school and were employed, 14% worked part time and 68% worked full time. A total of 189 participants were enrolled in school. Of those who were in school, 103 (54.5%) were employed with 83 (80.6%) of those reporting part-time work and 20 (19.4%) reporting full-time employment. Almost 46% of those who were in school reported not being employed. Drug Use Table 2 provides lifetime and recent use of illicit substances. As can be noted, the most frequently reported drugs were marijuana (N ¼ 161, 61.7%), hallucinogens (N ¼ 48, 18.4%), powder cocaine (N ¼ 47, 18.0%), and ecstasy (N ¼ 47, 18.1%). in relation to gender, race=ethnicity, and active enrollment in school. Lifetime use in relation to gender is summarized in Table 3. With regard to gender, significant differences in use were noted for acid=LSD (13.7% for males versus 3.8% for females, p < .01), ketamine, methamphetamine (6.9% for males versus 1.3% for females, p < .05), and heroin (3.9% for males versus 0% for females, p < .05), with men more likely to use than women in all cases. Higher percentages of men relative to women reported using marijuana (65.7% versus 59.9%), hallucinogens (22.5% versus 15.9%), powder cocaine (23.5% versus 14.6%), Ecstasy (23.5% versus 14.6%), crack cocaine (3.9% versus 1.3%), and GHB (3.9% versus <1%), though these differences were not significant at the .05 level. We found no significant differences in lifetime use by race, except for marijuana; 71.0% of Whites, 63.6% of Blacks, 56.3% of Latinos, and 26.3% of Asian=Pacific Islanders reported lifetime use of marijuana (v(5)2 ¼ 27.87, p < .001). ). In all cases, lifetime use of these substances was more likely among those not currently enrolled in school.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
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Need help with the description of the statistical analysis reported in results

Participants were surveyed from August to October 2006. In total, 313 surveys were completed during this period. Of these, 83% (261=313) were considered eligible for inclusion in the final analytic sample. Fifty-two TABLE 1 Demographic Characteristics of Project Straight Street Participants (N ¼ 261) N % Sex Female 157 60.2 Male 104 39.8 Race Black=African American 11 4.2 Asian=Pacific Islander 39 15.0 Hispanic=Latino 16 6.2 White=Caucasian 162 62.3 Mixed Ethnicity 23 8.8 Other 9 3.5 Missing 1 0.4 Educational Attainment High school or less 28 10.7 Some college 116 44.4 Bachelor’s degree 85 32.6 Graduate degree 32 12.3 College=University Enrollment Not currently enrolled 72 27.6 Currently enrolled full time 172 65.9 Currently enrolled part time 17 6.5 Employment Status Unemployed 99 37.9 Employed full time 69 26.4 Employed part time 93 35.6 Age 18 24 9.2 19 33 12.6 20 53 20.3 21 32 12.3 22 28 10.7 23 27 10.3 24 32 12.3 25 32 12.3 Drug Use in Heterosexual Emerging Adults 303 participants were excluded either because they did not fit the targeted demographic of the analysis (18 to 25 years old and heterosexually identified), or in a few cases, because their surveys were mostly incomplete (i.e., unfinished or partially filled out) or the answer choices were illegible.

Study Participant Characteristics

Slightly more than half of the sample (60.2%; N ¼ 157) were female, while 39.8% (N ¼ 104) were male. All participants ranged in age from 18 to 25 years due to the restriction of the sample with a mean age of 21.44 years (SD ¼ 2.22; Median ¼ 20). The majority of the sample was White=Caucasian (62.3%; 162=260), with 15.0% (39=260) identifying as Asian=Pacific Islander (API), 8.8% (23=260) as Mixed Ethnicity, 6.2% (16=260) as Latino=a, 4.2% (11=260) as African American, and 3.5% (9=260) as Other. With regard to educational attainment, the majority of participants had completed either some college (44.4%; 116=261) or had acquired a bachelor’s degree (32.6%; 85=261); 10.7% (N ¼ 28) had acquired a high school diploma or less; and 12.3% (N ¼ 32) had acquired a graduate or professional degree. Of those who participated, 72.4% (N ¼ 189) were currently enrolled in a college or university, with 91.0% of those (N ¼ 172) enrolled full time and 9.0% (N ¼ 17) enrolled part time. The participants in school were slightly younger than those not enrolled (M ¼ 20.88, SD ¼ 2.04 versus M ¼ 22.92, SD ¼ 2.03, t(259) ¼ 7.24, p < .001). In addition, being enrolled in school was related to race (v2 (5) ¼ 14.09, p ¼ .02). Specifically, only 54.5% of the Black participants were enrolled in school as compared to 89.7% of the Asian=Pacific Islander (API) sample, 68.8% of the Latinos, 67.3% of the Whites, 91.3% of mixed-race participants, and 66.7% of those who identified as ‘‘other.’’ However, being enrolled in school was unrelated to gender.Overall, 62% (N ¼ 162) reported being employed. Of the 72 people in our study who were not currently enrolled in school, 59 (82%) were employed and 13 (18%) were not employed. Of those who were not in school and were employed, 14% worked part time and 68% worked full time. A total of 189 participants were enrolled in school. Of those who were in school, 103 (54.5%) were employed with 83 (80.6%) of those reporting part-time work and 20 (19.4%) reporting full-time employment. Almost 46% of those who were in school reported not being employed.

Drug Use

Table 2 provides lifetime and recent use of illicit substances. As can be noted, the most frequently reported drugs were marijuana (N ¼ 161, 61.7%), hallucinogens (N ¼ 48, 18.4%), powder cocaine (N ¼ 47, 18.0%), and ecstasy (N ¼ 47, 18.1%). in relation to gender, race=ethnicity, and active enrollment in school. Lifetime use in relation to gender is summarized in Table 3. With regard to gender, significant differences in use were noted for acid=LSD (13.7% for males versus 3.8% for females, p < .01), ketamine, methamphetamine (6.9% for males versus 1.3% for females, p < .05), and heroin (3.9% for males versus 0% for females, p < .05), with men more likely to use than women in all cases. Higher percentages of men relative to women reported using marijuana (65.7% versus 59.9%), hallucinogens (22.5% versus 15.9%), powder cocaine (23.5% versus 14.6%), Ecstasy (23.5% versus 14.6%), crack cocaine (3.9% versus 1.3%), and GHB (3.9% versus <1%), though these differences were not significant at the .05 level. We found no significant differences in lifetime use by race, except for marijuana; 71.0% of Whites, 63.6% of Blacks, 56.3% of Latinos, and 26.3% of Asian=Pacific Islanders reported lifetime use of marijuana (v(5)2 ¼ 27.87, p < .001). ). In all cases, lifetime use of these substances was more likely among those not currently enrolled in school. 

TABLE 3 Lifetime Illicit Drug Use in Relation to Gender
Male
(N=104) (%)
Marijuana
Hallucinogens
Power Cocaine
Ecstasy
Acid/LSD**
Ketamine***
Methamphetamine*
Crack Cocaine
GHB
Heroin*
*p<.05; **p<.01; ***p<.001.
65.7
22.5
23.5
23.5
13.7
9.8
6.9
3.9
3.9
3.9
Female
(N=157) (%)
59.9
15.9
14.6
14.6
3.8
<1
1.3
1.3
<1
0
Transcribed Image Text:TABLE 3 Lifetime Illicit Drug Use in Relation to Gender Male (N=104) (%) Marijuana Hallucinogens Power Cocaine Ecstasy Acid/LSD** Ketamine*** Methamphetamine* Crack Cocaine GHB Heroin* *p<.05; **p<.01; ***p<.001. 65.7 22.5 23.5 23.5 13.7 9.8 6.9 3.9 3.9 3.9 Female (N=157) (%) 59.9 15.9 14.6 14.6 3.8 <1 1.3 1.3 <1 0
TABLE 2 Lifetime and Recent Illicit Drug Use
Lifetime use
Drug mean (SD)
Marijuana
Hallucinogens
Powder Cocaine
Ecstasy
Acid/LSD
Ketamine
Methamphetamine
Crack Cocaine
GHB
Heroin
N
M8772019654
11
%
61.7
18.4
18.0
18.0
7.7
4.2
3.4
2.3
1.9
1.5
N
61
6
15
5
1
3
2
2
1
0
Recent use (past 30 days)
%
23.3
2.3
5.8
1.9
<1.0
1.2
<1.0
<1.0
<1.0
0
# of days used
9.92 (10.77)
1.67 (1.21)
2.13 (2.39)
1.40 (0.55)
2.00 (N/A)
1.67 (1.16)
4.50 (3.54)
11.00 (11.31)
1.0 (N/A)
N/A
Transcribed Image Text:TABLE 2 Lifetime and Recent Illicit Drug Use Lifetime use Drug mean (SD) Marijuana Hallucinogens Powder Cocaine Ecstasy Acid/LSD Ketamine Methamphetamine Crack Cocaine GHB Heroin N M8772019654 11 % 61.7 18.4 18.0 18.0 7.7 4.2 3.4 2.3 1.9 1.5 N 61 6 15 5 1 3 2 2 1 0 Recent use (past 30 days) % 23.3 2.3 5.8 1.9 <1.0 1.2 <1.0 <1.0 <1.0 0 # of days used 9.92 (10.77) 1.67 (1.21) 2.13 (2.39) 1.40 (0.55) 2.00 (N/A) 1.67 (1.16) 4.50 (3.54) 11.00 (11.31) 1.0 (N/A) N/A
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