Literature DB >> 15206684

Computer-assisted survey interviewing of school-age children.

Lynn Rew1, Sharon D Horner, Lou Riesch, Roger Cauvin.   

Abstract

Longitudinal surveys of children in school settings can yield large volumes of data for use in exploring research questions that may influence development of intervention programs. However, traditional methods of data collection such as paper-and-pencil questionnaires or person-to-person interviewing present major threats to validity throughout the process of data collection, data management, and data analysis. The use of computer-assisted survey interviewing is an alternative that has both advantages and disadvantages. Lessons learned in the first wave of a longitudinal study of approximately 1161 children in fourth, fifth, and sixth grades illustrate both the strengths and limitations of this method.

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Year:  2004        PMID: 15206684     DOI: 10.1097/00012272-200404000-00006

Source DB:  PubMed          Journal:  ANS Adv Nurs Sci        ISSN: 0161-9268            Impact factor:   1.824


  8 in total

1.  Factors associated with health behaviors in middle childhood.

Authors:  Lynn Rew; Sharon D Horner; Rachel T Fouladi
Journal:  J Pediatr Nurs       Date:  2009-03-31       Impact factor: 2.145

2.  It's Your Game: Keep It Real: delaying sexual behavior with an effective middle school program.

Authors:  Susan R Tortolero; Christine M Markham; Melissa Fleschler Peskin; Ross Shegog; Robert C Addy; S Liliana Escobar-Chaves; Elizabeth R Baumler
Journal:  J Adolesc Health       Date:  2009-08-18       Impact factor: 5.012

3.  Strengthening families program (10-14): effects on the family environment.

Authors:  Susan K Riesch; Roger L Brown; Lori S Anderson; Kevin Wang; Janie Canty-Mitchell; Deborah L Johnson
Journal:  West J Nurs Res       Date:  2011-03-14       Impact factor: 1.967

4.  Children and young people's experiences of completing mental health and wellbeing measures for research: learning from two school-based pilot projects.

Authors:  Ola Demkowicz; Emma Ashworth; Rosie Mansfield; Emily Stapley; Helena Miles; Daniel Hayes; Kim Burrell; Anna Moore; Jessica Deighton
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2020-09-16       Impact factor: 3.033

5.  Internet-based monitoring of asthma symptoms, peak flow meter readings, and absence data in a school-based clinical trial.

Authors:  Leslie A McClure; Kathy F Harrington; Holli Graham; Lynn B Gerald
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

6.  Health related quality of life in 10-year-old schoolchildren.

Authors:  Camilla Laaksonen; Minna Aromaa; Olli J Heinonen; Leena Koivusilta; Pasi Koski; Sakari Suominen; Tero Vahlberg; Sanna Salanterä
Journal:  Qual Life Res       Date:  2008-09-12       Impact factor: 4.147

7.  Childhood predictors of adolescent competence and self-worth in rural youth.

Authors:  Lynn Rew; Matthew W Grady; Micajah Spoden
Journal:  J Child Adolesc Psychiatr Nurs       Date:  2012-10-11

8.  Validity of self-reported age at menarche in computer-assisted interview among Chinese schoolgirls: a cross-sectional study.

Authors:  Yanyan Mao; Qiguo Lian; Xiayun Zuo; Yan Zhang; Shan Luo; Shucheng Zhang; Xiaowen Tu; Chaohua Lou; Weijin Zhou
Journal:  BMJ Open       Date:  2018-01-23       Impact factor: 2.692

  8 in total

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