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Condum Usage in Young Adults

This is an excerpt from the paper...

This study examines whether parental income, age, formal sexual education on the transmission of STDs, current choice to be sexually active, and/or gender contribute to differences in condom usage in a sample of young adults. So that the conducted research may be understood within the context of the existing literature, this section of the report presents a review of the literature on condom usage and demographic characteristics.

What factors contribute to the variance in young people's use of condoms? According to Turner, Garrison, Korpita and Waller (1994), one strong factor is sex-education focusing on the transmission of sexually transmitted diseases. In their study, the authors examined the effectiveness of a sexual-health program in changing sexuality-related knowledge, attitudes, and behavior among 582 college freshmen (aged 17+ years).

Comparison were made between 295 students in the program and 285 students not in the program. Findings indicated that mean knowledge, attitude, and behavior scores were significantly higher for those enrolled in the freshman seminar than for those not enrolled.

Further, abstinence among males in the program increased. However, it was found that white males in the seminar were more likely to be abstinent or to use a condom than nonwhites. Females participating in the intervention reported increased frequency of condom use at last intercourse and increased contraceptive use overall.

Another factor than can affect frequency

. . .
ple x1, x2...xn, this is defined by _ _ _ S.D. = ( (x1 - x )2 + (x2 - x )2 + (xn - x)2 /n - 1 n _ = ( e (xi - x )2 / n-1 i=1 The mean and standard deviation were selected as best to describe data because according to McGhee (1985), they are the most valid descriptions of the distribution of population scores. The second type of statistical treatment performed on data consisted of inferential statistics. Specifically, the t-test analysis was used to test all of the study's hypotheses. The formula for this test is provided below: X1 - X2 t = ______________________________________________________ ([(SX12 - (SX1)2] + [SX22 - (SX2)2] . (n1 + n2) ____ ____ _______ n1 n2 (n1)(n2) ___________________________________ (n1 + n2 - 2) Where X1 = the mean of Group 1 n1 = the number of subjects in Group 1 X2 = the mean of Group 2 n2 = the number of subjects in Group 2 N = the total number of subjects SX12 = the sum of the squared scores for
. . .

Some common words found in the essay are:
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Approximate Word count = 2510
Approximate Pages = 10 (250 words per page)

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