Literature DB >> 11818298

Classroom-based surveys of adolescent risk-taking behaviors: reducing the bias of absenteeism.

Sally Guttmacher1, Beth C Weitzman, Farzana Kapadia, Sharon L Weinberg.   

Abstract

OBJECTIVES: This investigation examined the effectiveness of intensive efforts to include frequently absent students in order to reduce bias in classroom-based studies.
METHODS: Grade 10 students in 13 New York City high schools (n = 2049) completed self-administered confidential surveys in 4 different phases: a 1-day classroom capture, a 1-day follow-up, and 2 separate 1-week follow-ups. Financial incentives were offered, along with opportunities for out-of-classroom participation.
RESULTS: Findings showed that frequently absent students engaged in more risk behaviors than those who were rarely absent. Intensive efforts to locate and survey chronically absent students did not, however, significantly alter estimates of risk behavior. Weighting the data for individual absences marginally improved the estimates.
CONCLUSIONS: This study showed that intensive efforts to capture absent students in classroom-based investigations are not warranted by the small improvements produced in regard to risk behavior estimates.

Entities:  

Mesh:

Year:  2002        PMID: 11818298      PMCID: PMC1447049          DOI: 10.2105/ajph.92.2.235

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  7 in total

1.  Low response rate schools in surveys of adolescent risk taking behaviours: possible biases, possible solutions.

Authors:  B C Weitzman; S Guttmacher; S Weinberg; F Kapadia
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

2.  Precision across race, age and gender of a HIV risk screen for adolescents and young adults.

Authors:  Michiel A van Zyl; Christina Studts; Kathryn Pahl
Journal:  Soc Work Public Health       Date:  2015-03-09

3.  Surveying adolescents enrolled in a regional health care delivery organization: mail and phone follow-up--what works at what cost?

Authors:  Julie Richards; Cheryl Wiese; Wayne Katon; Carol Rockhill; Carolyn McCarty; David Grossman; Elizabeth McCauley; Laura P Richardson
Journal:  J Am Board Fam Med       Date:  2010 Jul-Aug       Impact factor: 2.657

4.  Ethnic discrimination prevalence and associations with health outcomes: data from a nationally representative cross-sectional survey of secondary school students in New Zealand.

Authors:  Sue Crengle; Elizabeth Robinson; Shanthi Ameratunga; Terryann Clark; Deborah Raphael
Journal:  BMC Public Health       Date:  2012-01-18       Impact factor: 3.295

Review 5.  Sources of Error in Substance Use Prevalence Surveys.

Authors:  Timothy P Johnson
Journal:  Int Sch Res Notices       Date:  2014-11-05

6.  Adolescent school absenteeism and service use in a population-based study.

Authors:  Kristin Gärtner Askeland; Siren Haugland; Kjell Morten Stormark; Tormod Bøe; Mari Hysing
Journal:  BMC Public Health       Date:  2015-07-09       Impact factor: 3.295

7.  Factors influencing school re-entry among adolescents in Kenya.

Authors:  Hanae Henzan; Rie Takeuchi; Sammy M Njenga; Ernesto R Gregorio; Yoshio Ichinose; Daisuke Nonaka; Jun Kobayashi
Journal:  Pediatr Int       Date:  2021-12-04       Impact factor: 1.617

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.