Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Psychology

• Self-Report 100%
• Individual Differences 100%
• Health and Well-Being 16%
• Negative Affect 16%
• Life Satisfaction 16%
• Romantic Relationship 16%
• Attachment Anxiety 16%
• Attachment Avoidance 16%

Computer Science

• Relationship Quality 100%
• Science Relationship 12%
• Negative Affect 12%

Keyphrases

• Collective Effort 12%
• Partner Conflict 12%
• Perceived Partner Commitment 12%
• Quality Changes 12%
• Specific Experience 12%
• Relationship Science 12%
• Individual Difference Variables 12%
• Predictive Effect 12%