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Estimates of Intraclass Correlation Coefficients from Longitudinal Group-Randomized Trials of Adolescent HIV/STI/Pregnancy Prevention Programs

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Title: Estimates of Intraclass Correlation Coefficients from Longitudinal Group-Randomized Trials of Adolescent HIV/STI/Pregnancy Prevention Programs
Language: English
Authors: Glassman, Jill R., Potter, Susan C., Baumler, Elizabeth R., Coyle, Karin K.
Source: Health Education & Behavior. Aug 2015 42(4):545-553.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 9
Publication Date: 2015
Sponsoring Agency: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH)
Contract Number: 068173
Document Type: Journal Articles
Reports - Research
Education Level: High Schools
Secondary Education
Middle Schools
Junior High Schools
Descriptors: Health Education, Longitudinal Studies, Correlation, Comparative Analysis, Control Groups, Experimental Groups, Acquired Immunodeficiency Syndrome (AIDS), Pregnancy, Prevention, Health Promotion, Program Evaluation, Program Effectiveness, Adolescents, Health Behavior, Risk, Regression (Statistics), Surveys, Service Learning, Sexuality, High School Students, Nontraditional Education, Intervention, Urban Schools, Middle School Students, Gender Differences, Student Characteristics
Geographic Terms: California, Texas
DOI: 10.1177/1090198114568308
ISSN: 1090-1981
Abstract: Introduction: Group-randomized trials (GRTs) are one of the most rigorous methods for evaluating the effectiveness of group-based health risk prevention programs. Efficiently designing GRTs with a sample size that is sufficient for meeting the trial's power and precision goals while not wasting resources exceeding them requires estimates of the intraclass correlation coefficient (ICC)--the degree to which outcomes of individuals clustered within groups (e.g., schools) are correlated. ICC estimates vary widely depending on outcome, population, and setting, and small changes in ICCs can have large effects on the sample size needed to estimate intervention effects. This study addresses a gap in the literature by providing estimates of ICCs for adolescent sexual risk-taking outcomes under a range of study conditions. Method: Multilevel regression analyses were applied to existing data from four federally funded GRTs of school-based HIV/STI/pregnancy prevention programs to obtain a variety of ICC estimates. Results: ICCs ranged from 0 to 0.15, with adjustment for covariates and repeated measurements reducing the ICC in the majority of cases. Minimum detectable effect sizes with 80% power and 0.05 significance levels ranged from small to medium Cohen's d (0.13 to 0.53) assuming 20 schools of 100 students each. Conclusions: This study provides the first known set of ICC estimates for investigators to use when planning studies of school-based programs to prevent sexual risk behaviors in youth. The results provide further evidence of the importance of using the appropriate adjusted ICC estimate at the design stage to maximize resources in costly GRTs.
Abstractor: As Provided
Number of References: 33
Entry Date: 2015
Accession Number: EJ1071107
Database: ERIC
FullText Text:
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  Data: Estimates of Intraclass Correlation Coefficients from Longitudinal Group-Randomized Trials of Adolescent HIV/STI/Pregnancy Prevention Programs
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  Data: <searchLink fieldCode="AR" term="%22Glassman%2C+Jill+R%2E%22">Glassman, Jill R.</searchLink><br /><searchLink fieldCode="AR" term="%22Potter%2C+Susan+C%2E%22">Potter, Susan C.</searchLink><br /><searchLink fieldCode="AR" term="%22Baumler%2C+Elizabeth+R%2E%22">Baumler, Elizabeth R.</searchLink><br /><searchLink fieldCode="AR" term="%22Coyle%2C+Karin+K%2E%22">Coyle, Karin K.</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Health+Education+%26+Behavior%22"><i>Health Education & Behavior</i></searchLink>. Aug 2015 42(4):545-553.
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
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  Data: 9
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  Data: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH)
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  Data: 068173
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Middle+Schools%22">Middle Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Junior+High+Schools%22">Junior High Schools</searchLink>
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– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink><br /><searchLink fieldCode="DE" term="%22Texas%22">Texas</searchLink>
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  Group: ID
  Data: 10.1177/1090198114568308
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1090-1981
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Introduction: Group-randomized trials (GRTs) are one of the most rigorous methods for evaluating the effectiveness of group-based health risk prevention programs. Efficiently designing GRTs with a sample size that is sufficient for meeting the trial's power and precision goals while not wasting resources exceeding them requires estimates of the intraclass correlation coefficient (ICC)--the degree to which outcomes of individuals clustered within groups (e.g., schools) are correlated. ICC estimates vary widely depending on outcome, population, and setting, and small changes in ICCs can have large effects on the sample size needed to estimate intervention effects. This study addresses a gap in the literature by providing estimates of ICCs for adolescent sexual risk-taking outcomes under a range of study conditions. Method: Multilevel regression analyses were applied to existing data from four federally funded GRTs of school-based HIV/STI/pregnancy prevention programs to obtain a variety of ICC estimates. Results: ICCs ranged from 0 to 0.15, with adjustment for covariates and repeated measurements reducing the ICC in the majority of cases. Minimum detectable effect sizes with 80% power and 0.05 significance levels ranged from small to medium Cohen's d (0.13 to 0.53) assuming 20 schools of 100 students each. Conclusions: This study provides the first known set of ICC estimates for investigators to use when planning studies of school-based programs to prevent sexual risk behaviors in youth. The results provide further evidence of the importance of using the appropriate adjusted ICC estimate at the design stage to maximize resources in costly GRTs.
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  Data: 2015
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  Data: EJ1071107
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        Value: 10.1177/1090198114568308
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      – Text: English
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        PageCount: 9
        StartPage: 545
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      – SubjectFull: Health Education
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      – SubjectFull: Longitudinal Studies
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      – SubjectFull: Correlation
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