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01-04-2008

Predicting Nonresponse Bias from Teacher Ratings of Mental Health Problems in Primary School Children

Auteurs: Kjell Morten Stormark, Einar Heiervang, Mikael Heimann, Astri Lundervold, Christopher Gillberg

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 3/2008

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Abstract

The impact of nonresponse on estimates of mental health problems was examined in a prospective teacher screen in a community survey of 9,155 7–9 year olds. For 6,611 of the children, parents consented to participation in the actual study (Responders), while for 2,544 children parental consent was not obtained (Nonresponders). The teacher screen involved assessment of a broad set of symptoms of mental health problems and functional impairment. Calculations of non-response coefficients, a function of effect sizes and non-response proportion, revealed only ignorable nonresponse bias for both mean scores and correlations. However, the results from binary logistic regressions revealed that children ascribed signs of mental health problems by their teachers were less likely to participate. This was most frequent among children with only moderate symptoms. However, it also involved children with high symptom scores related to inattention, hyperactivity, emotions and peer relationship problems. These findings suggest that measures based on effect size can underestimate the magnitude of non-response bias and that a logistic regression approach may be more appropriate for studies geared at estimating prevalence of mental health problems in children.
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Metagegevens
Titel
Predicting Nonresponse Bias from Teacher Ratings of Mental Health Problems in Primary School Children
Auteurs
Kjell Morten Stormark
Einar Heiervang
Mikael Heimann
Astri Lundervold
Christopher Gillberg
Publicatiedatum
01-04-2008
Uitgeverij
Springer US
Gepubliceerd in
Research on Child and Adolescent Psychopathology / Uitgave 3/2008
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI
https://doi.org/10.1007/s10802-007-9187-3