Evaluation of Statistical Hypotheses

Kinship and Prosocial Behaviour Postregistration

• 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.

Results

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.

• trust_lowbound is confirmed if analysis trust yields conf.int[1] > 0 The result was conf.int[1] = 0.021 (TRUE)
  
• trust_highbound is confirmed if analysis trust yields conf.int[2] > 0.2 The result was conf.int[2] = 0.979 (TRUE)
  
• recip_lowbound is confirmed if analysis recip yields conf.int[1] > 0 The result was conf.int[1] = -0.509 (FALSE)
  
• recip_highbound is confirmed if analysis recip yields conf.int[2] > 0.2 The result was conf.int[2] = 0.426 (TRUE)

Corroboration (TRUE)

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 (FALSE)

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 criteria were met for corroboration.

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)