SEARCHing for Solutions: applying a novel person-centered analysis to the problem of dropping out of preventive parent education.

Published

Journal Article

Behavioral parent training is an effective intervention for many child behavior problems; however, low parent attendance and premature termination of intervention have been chronic barriers to successful implementation. Socioeconomic factors, demographic characteristics, social support, stressful life events, and parental depression have all been identified in prior research as risk factors for premature termination. The present study tested whether these risk factors were valid predictors in a targeted prevention sample using a novel methodology, a binary segmentation procedure (SEARCH), to identify meaningful subgroups within the sample. The SEARCH procedure, a person-centered approach to analysis, resulted in five mutually exclusive groups. These groups were classified based on social support and stressful life events, and group membership significantly predicted attendance at parent training. Other frequently studied predictors, such as income, were not significant predictors within this sample. The groups which were characterized by higher social support and fewer life events typically attended more sessions; however, the relationship between these risk factors was not linear and would not have been detected by many other methods of analysis. These findings both contribute to the overall literature on parent training preventions, and suggest that binary segmentation procedures, such as SEARCH, may have widespread utility in prevention research because such procedures allow for the detection of non-linear interactions between risk factors.

Full Text

Cited Authors

  • Minney, JA; Lochman, JE; Guadagno, RE

Published Date

  • May 2015

Published In

Volume / Issue

  • 16 / 4

Start / End Page

  • 621 - 632

PubMed ID

  • 25382414

Pubmed Central ID

  • 25382414

Electronic International Standard Serial Number (EISSN)

  • 1573-6695

International Standard Serial Number (ISSN)

  • 1389-4986

Digital Object Identifier (DOI)

  • 10.1007/s11121-014-0526-7

Language

  • eng