Registration of Statistical Hypotheses

Kinship and Prosocial Behaviour Preregistration

• DeBruine, Lisa M.
  • roles: Conceptualization, Data curation, Software, Writing - original draft, Writing - review & editing
  • email: lisa.debruine@glasgow.ac.uk
• Lakens, Daniël
  • roles: Conceptualization, Formal analysis, Writing - original draft, Writing - review & editing

Abstract

A reanalysis of data from DeBruine (2002) Facial Resemblance Enhances Trust, PRSLB.

Hypotheses

Hypothesis 1: self_pref

Cues of kinship will increase prosocial behaviour. Cues of kinship will be manipulated by morphed facial self-resemblance. Prosocial behaviour will be measured by responses in the trust game. The prediction is that the number of trusting AND/OR reciprocating moves will be greater to self morphs than to other morphs.

Criteria

• trust_lowbound is confirmed if analysis trust yields conf.int[1]>0
  
• trust_highbound is confirmed if analysis trust yields conf.int[2]>0.2
  
• recip_lowbound is confirmed if analysis recip yields conf.int[1]>0
  
• recip_highbound is confirmed if analysis recip yields conf.int[2]>0.2

Evaluation

Corroboration

The hypothesis is corroborated if the 97.5% CI lower bound is greater than 0 and the 97.5% CI upper bound is greater than 0.2 (the SESOI) for either the trust or reciprocation moves.

(trust_lowbound & trust_highbound) | (recip_lowbound & recip_highbound)

Falsification

The hypothesis is falsified if the 97.5% CI upper bound is smaller than 0.2 (the SESOI) for both trust and reciprocation.

!trust_highbound & !recip_highbound

All other patterns of results are inconclusive.

Analyses

Analysis 1: trust

    t.test(kin$trust_self, kin$trust_other, paired = TRUE, conf.level = 0.975)

Analysis 2: recip

    t.test(kin$recip_self, kin$recip_other, paired = TRUE, conf.level = 0.975)