Literature DB >> 11464964

An evaluation of nonresponse bias in peer, self, and teacher ratings of children's psychosocial adjustment.

M H Gerrits1, E J van den Oord, R Voogt.   

Abstract

The last decades have shown a rapid increase in nonresponse rates. For this reason it is important to study nonresponse and think about it critically. In this article we investigated whether nonresponse affected estimates of the levels of adjustment problems in children and the correlations between these outcomes. The nonresponse was caused by parents who refused permission to interview their children at school, parents who did not return a questionnaire, teachers who did not complete the questionnaire, and parents who refused to participate in an in-depth study, with nonresponse rates of 9%, 69%, 25%, and 46% respectively. The sample consisted of 1282 children aged 4 5 years and the dependent measures were peer-rated sociometric status, self-rated wellbeing at school, and teacher-rated behaviour problems. Despite considerable nonresponse in some conditions our results showed hardly any evidence for bias. This suggested that bias cannot simply be inferred from the amount of nonresponse and that standard rules such as "nonresponse rates higher than 50% are not acceptable" lack a scientific basis. Instead, we argue that to assess nonresponse bias the specific conditions and analyses of the study will need to be considered and special measures may be required.

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Year:  2001        PMID: 11464964

Source DB:  PubMed          Journal:  J Child Psychol Psychiatry        ISSN: 0021-9630            Impact factor:   8.982


  12 in total

1.  Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents.

Authors:  Andrea F de Winter; Albertine J Oldehinkel; René Veenstra; J Agnes Brunnekreef; Frank C Verhulst; Johan Ormel
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

2.  Predicting nonresponse bias from teacher ratings of mental health problems in primary school children.

Authors:  Kjell Morten Stormark; Einar Heiervang; Mikael Heimann; Astri Lundervold; Christopher Gillberg
Journal:  J Abnorm Child Psychol       Date:  2007-12-27

3.  Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies.

Authors:  Rosario Granero Pérez; Lourdes Ezpeleta; José María Domenech
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2007-02-01       Impact factor: 4.328

4.  Online sexual behaviours among Swedish youth: associations to background factors, behaviours and abuse.

Authors:  Linda S Jonsson; Marie Bladh; Gisela Priebe; Carl Göran Svedin
Journal:  Eur Child Adolesc Psychiatry       Date:  2015-01-15       Impact factor: 4.785

5.  The impact of school nonresponse on substance use prevalence estimates - Germany as a case study.

Authors:  Johannes Thrul; Alexander Pabst; Ludwig Kraus
Journal:  Int J Drug Policy       Date:  2015-06-30

6.  Prevalence of DSM-IV disorders in Chinese adolescents and the effects of an impairment criterion: a pilot community study in Hong Kong.

Authors:  Patrick W L Leung; Se-fong Hung; Ting-pong Ho; Chi-chiu Lee; Wai-sum Liu; Chun-pan Tang; Shi-leung Kwong
Journal:  Eur Child Adolesc Psychiatry       Date:  2008-04-21       Impact factor: 4.785

7.  A Danish population-based twin study on autism spectrum disorders.

Authors:  Claudia Nordenbæk; Meta Jørgensen; Kirsten Ohm Kyvik; Niels Bilenberg
Journal:  Eur Child Adolesc Psychiatry       Date:  2013-05-10       Impact factor: 4.785

8.  The prevalence of autism spectrum disorders: impact of diagnostic instrument and non-response bias.

Authors:  M Posserud; Astri J Lundervold; Stein Atle Lie; Christopher Gillberg
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2009-06-24       Impact factor: 4.328

9.  Benefits of extensive recruitment effort persist during follow-ups and are consistent across age group and survey method. The TRAILS study.

Authors:  Esther Nederhof; Frederike Jörg; Dennis Raven; René Veenstra; Frank C Verhulst; Johan Ormel; Albertine J Oldehinkel
Journal:  BMC Med Res Methodol       Date:  2012-07-02       Impact factor: 4.615

10.  Response rates and selection problems, with emphasis on mental health variables and DNA sampling, in large population-based, cross-sectional and longitudinal studies of adolescents in Norway.

Authors:  Espen Bjertness; Ase Sagatun; Kristian Green; Lars Lien; Anne Johanne Søgaard; Randi Selmer
Journal:  BMC Public Health       Date:  2010-10-12       Impact factor: 3.295

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