Previous research has identified nonobvious, cognitive indexes of including other in the self (self-other overlap) that differentiate close from nonclose relationships. These indexes include a reaction time measure and a measure focusing on attributional perspective. This study demonstrated for the first time that these cognitive indices differentiated among romantic relationships of varying degrees of closeness, suggesting that self-other overlap is not an either-or phenomenon. Further, the degree of self-other overlap was associated with subjective feelings of closeness, but little if at all with amount and diversity of interaction, suggesting that cognitive self-other overlap is not a direct product of behavioral interaction. Finally, these indexes predicted relationship maintenance and other variables over 3 months and correlated with self-reports of love, suggesting a broad linkage of cognitive self-other overlap to other aspects of relational experience.
Social Cognition – Guilford Press
Published: Jun 1, 1999
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera