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 Seeking Data for Meta-Analysis on Sacrifice
Posted by: Francesca Righetti
Title/Position: Assistant Professor
School/Organization: VU Amsterdam
Sent to listserv of: SESP
Date posted: November 18th, 2017

Dear SESP Colleagues,

We are conducting a meta-analytic review on the association between sacrifice and personal and relationship well-being in close relationships.

Specifically, we're interested in how willingness to sacrifice or actual sacrifice (e.g., which is defined as either giving up something pleasant or of value for the partner/relationship - including giving up personal goals, hobbies etc.- or doing something unpleasant for the partner/relationship) is related to any index of personal well-being (i.e., any measure on Positive and Negative emotions - including Stress, Subjective well-being, Happiness, Life Satisfaction, Depression and Anxiety) and relationship well-being (e.g., any measure of relationship satisfaction or relationship quality – such as the Couples Satisfaction Index, the Quality of Marriage Index, the Relationships Assessment Scale, the relationship satisfaction item of the Dyadic Adjustment Scale; and the relationship satisfaction subscale of the PRQC). Importantly, other constructs such as commitment, closeness, and intimacy are NOT considered.

If You Have Collected Data that Can Be Used to Calculate Unpublished Correlations between Sacrifice and Personal or Relationship Well-Being, please contact us ( and we will correspond with you to determine the eligibility of your data, and to devise a method that works for you to share these raw data—or the correlations—with us, in such a way that your personal inconvenience can be minimized. This process is absolutely crucial in order to ensure that our meta-analytic estimates are as representative as possible. In order to acknowledge the contributions of your data to our meta-analysis, we are happy to either: (1) cite an associated paper of yours reporting on other variables of the same sample(s); or (2) list you, by name, in our acknowledgements for aiding the meta-analysis.


Francesca Righetti, Emily Impett, John Sakaluk, & Ruddy Faure

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