Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters

Database
Country/Region as subject
Language
Affiliation country
Publication year range
1.
J Relig Health ; 51(4): 1325-36, 2012 Dec.
Article in English | MEDLINE | ID: mdl-21210223

ABSTRACT

The majority of Americans identify themselves as belonging to some religious group. There is a mixed body of literature on whether or not religious affiliation has an influence on engaging in risky behaviors among young adults attending college. This study examined associations between religious affiliation, risky sexual practices, substance use, and family structure among a sample of predominantly white college females attending a southeastern university. Given the high risk of acquiring genital human papillomavirus infection as a result of high risk sexual practices, gaining a better understanding of how religious affiliation can be used to promote healthy sexual behaviors is warranted.


Subject(s)
Family Characteristics , Papillomavirus Infections/prevention & control , Spirituality , Substance-Related Disorders/prevention & control , Unsafe Sex/prevention & control , Female , Health Behavior , Humans , South Carolina , Universities , Young Adult
2.
J Appl Meas ; 12(2): 96-105, 2011.
Article in English | MEDLINE | ID: mdl-22089507

ABSTRACT

There are at least two procedures to assess item difficulty stability in the Rasch model: robust z procedure and ".3 Logit Difference" procedure. The robust z procedure is a variation of the z statistic that reduces dependency on outliers. The ".3 Logit Difference" procedure is based on experiences in Rasch linking for tests developed by Harcourt. Both methods were applied to archival data from two large-scale South Carolina assessment programs: HSEE 1986/1987 and PACT 2004/2005.The results of the analysis showed the ".3 Logit Difference" procedure identifies slightly more stable items (2.6%) for all items under study. In addition, approximately 93% of all items under consideration were identically classified as stable or unstable for both procedures. This very high level of agreement between the two methods indicates that either procedure can be safely used to identify stable items for use in a common-item linking design. The advantage of the robust z procedure lies in its foundation of robust statistical inference. The procedure takes into account well-accepted models for identifying outliers and permits critical values set at a specified Type I error.


Subject(s)
Educational Measurement/statistics & numerical data , Models, Statistical , Reproducibility of Results
SELECTION OF CITATIONS
SEARCH DETAIL