MIPPE: Inter-item Correlation Matrix for Early Parent-Child Interaction Scale

228 parent-child interaction videos from 123 dyads at 4 and 24 months form the validation basis for the MIPPE scale. Emmanuelle Dufait developed this 9-item psychometric tool within the PERL program in Eastern France. The dataset includes an inter-item correlation matrix showing correlations ranging from 0.34 to 0.67.

Use Cases

• Validate the internal consistency of a clinical assessment scale based on Cronbach's α and McDonald's ω metrics
• Perform factor analysis to confirm the unidimensional structure of a psychometric tool based on CFI, TLI, and RMSEA values
• Establish clinical thresholds for screening interactional difficulties based on sensitivity analysis
• Analyze dyadic interaction quality across intervention and control groups based on video analysis data

Strengths

• Psychometric validation includes high internal consistency (Cronbach's α = 0.92, McDonald's ω = 0.93)
• Validation sample includes 228 videos from 123 dyads, split between intervention (N=62) and control (N=61) groups
• Factor analysis confirms a unidimensional structure explaining 66% of the variance with strong fit indices (CFI=1.000, TLI=1.002, RMSEA=0.000)

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect geographic bias inherent to its collection in Eastern France

Provenance

Source

Emmanuelle Dufait via figshare

Collection Method

Developed and validated within the PERL program, based on analysis of parent-child interaction videos.

Freshness

Last updated 2026-04-24 17:37:00; freshness should be verified

Geography

Eastern France