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Published on: February 8, 2019
Comparing two attachment classification methods applied to preschool strange situations
Susan Spieker1, Patricia McKinsey Crittenden
1Center on Infant Mental Health & Development University of Washington, Box 357920 Seattle, WA 98195-7920, USA. spieker@u.washington.edu
This study found that two attachment classification methods, MacArthur (MAC) and Preschool Assessment of Attachment (PAA), showed only 50% agreement. The PAA method was more sensitive to demographic and child predictors than the MAC method.
Area of Science:
- Developmental Psychology
- Attachment Theory
- Child Behavior Assessment
Background:
- Attachment theory is crucial for understanding child development.
- The Strange Situation procedure is a key method for assessing attachment.
- Different classification systems exist, potentially leading to varied interpretations.
Purpose of the Study:
- To compare the MacArthur (MAC) and Preschool Assessment of Attachment (PAA) methods.
- To determine if MAC and PAA operationalize converging or diverging approaches to attachment.
- To examine the relationship between these classifications and child/family predictors and later outcomes.
Main Methods:
- Classified 306 preschool-aged children's Strange Situation behaviors using MAC and PAA.
- Analyzed agreement between the two classification methods.
- Examined associations with demographic, child, and family predictors.
- Investigated links between classifications and child outcomes in early elementary grades.
Main Results:
- MAC and PAA methods showed 50% agreement.
- Demographic, child, and family predictors explained 19% of PAA variance but none for MAC.
- Both methods associated with child outcomes, with PAA showing stronger links (12% vs. 5% variance).
- Some MAC associations contradicted hypotheses.
Conclusions:
- The MAC and PAA methods are sufficiently different, reflecting distinct theoretical understandings of attachment.
- PAA appears more sensitive to contextual factors than MAC.
- Findings have implications for clinical practice and highlight limitations in current attachment assessment measures.
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Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as: