Consensus, Accuracy, & Consequences of Hearsay Reputations
Cory K Costello & Sanjay Srivastava University of Oregon
Hearsay Reputations Cory K Costello & Sanjay Srivastava - - PowerPoint PPT Presentation
Consensus, Accuracy, & Consequences of Hearsay Reputations Cory K Costello & Sanjay Srivastava University of Oregon Hearsay Reputations Hearsay Reputation Hearsay Interpersonal Perception C A C C Bob Bob Alice Alice Carol A
Cory K Costello & Sanjay Srivastava University of Oregon
Alice Bob Carol Alice Bob
C A B A B
C C C A
Interpersonal Perception Hearsay Hearsay Reputation OSF Project Page: osf.io/65wfu
OSF Project Page: osf.io/65wfu
C
Self-Knowledge
A
Direct Reputations
B
Hearsay Reputations Target First-Degree Perceiver Second-Degree Perceiver
C C C
OSF Project Page: osf.io/65wfu
Self-Knowledge Direct Reputations Hearsay Reputations Target First-Degree Perceiver Second-Degree Perceiver
T P1 P2
Hearsay Consensus Do P1 & P2 Agree about T? Hearsay Accuracy Is P2 accurate about T? [Self-P2 agreement]
Study 1 Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu Study 2 Pre-registration: osf.io/kfcmt Study 1 Addendum: osf.io/eckj7 OSF Project Page: osf.io/65wfu Study 1 Pre-registration: osf.io/hqtfb
Final sample: 260 undergrads, 72 groups.
Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
T P1
Get to know each other Phase 1: Dyadic Interaction ≈ 15 minutes Get to know you game (18 Questions in a fixed Order):
what’s on your mind? And why?
about it?
worry?
be like?
A C H-P N E O Target Big 6 Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
P2
Tell About T Phase 1: Dyadic Interaction Phase 2: Hearsay ≈ 15 minutes ≈10 minutes 3 Person Group Version Told: “It’s important that you give the most informative, objective, and accurate account of what the person you met is like.”
T P1
Get to know each other Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
P2
Tell About T Phase 1: Dyadic Interaction Phase 2: Hearsay ≈ 15 minutes ≈10 minutes
T P1
Get to know each other Phase 3: Ratings
Measures:
1Soto & John (2016) 2Thalmayer, Saucier, Eigenhuis (2011)
Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
OSF Project Page: osf.io/65wfu Pre-registration: osf.io/hqtfb
Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
Self-Knowledge Direct Reputations Hearsay Reputations Target First-Degree Perceiver Second-Degree Perceiver
T P1 P2
Hearsay Consensus P1 & P2 agree a moderate amount. Hearsay Accuracy P2 is not very accurate.
OSF Project Page: osf.io/65wfu
Self-Knowledge Direct Reputations Hearsay Reputations Target First-Degree Perceiver Second-Degree Perceiver
T P1 P2
Pre-registration: osf.io/kfcmt
What affects flow of info from P1 to P2?
Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu
Status One thing we are going to ask is whether [P2] thinks the person you’re describing would make a good leader. which includes forming an impression of that person’s leadership potential. Manipulation: Affiliation One thing we are going to ask is whether [P2] thinks the person you’re describing would make a good friend who they would want to get close to. which includes forming an impression of that person’s potential as a friend. Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu Neutral/Control: *Bolded Parts Removed*
Hearsay Consensus & Accuracy greater for Extraversion in Status Condition Extraversion important for status. Status context should focus hearsay on Extraversion
Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu
Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu χ2
diff (1) = 3.24, p = .072
χ2
diff (1) = 0.02, p = .898
How much do P1 & P2 agree about T? How accurate is P2?
Hearsay Consensus & Accuracy greater for Agreeableness in Affiliation Condition Agreeableness important for Affiliation. Affiliation context should focus gossip conversation on Agreeableness.
Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu
Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu χ2
diff (1) = 0.52, p = .472
χ2
diff (1) = 1.39, p = .239
How much do P1 & P2 agree about T? How accurate is P2?
Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu
Pre-registration: osf.io/kfcmt OSF Project Page: osf.io/65wfu
OSF Project Page: osf.io/65wfu
Study 1 Pre-registration: osf.io/hqtfb OSF Project Page: osf.io/65wfu Study 2 Pre-registration: osf.io/kfcmt Study 1 Addendum: osf.io/eckj7
Study 1 Pre-registration: osf.io/hqtfb OSF Project Page:
Twitter: @CostelloCK Study 2 Pre-registration: osf.io/kfcmt Study 1 Addendum: osf.io/eckj7