Life satisfaction is the result of comparing one's expectations with the actual situation. The life satisfaction scale developed by Ed Diener and his colleagues is one of the most preferred life satisfaction scales in research. In this study, it was aimed to obtain an approximate estimate of the generalized reliability of the measurement tool through meta-analytic reliability generalization and to determine which sample characteristics of the studies may affect the variability of reliability coefficients. For 24 studies, the generalized reliability coefficient was .84 [.81-.87]. No visual or statistical evidence of publication bias was encountered in the meta-analysis. As a result of the moderator analysis, it was concluded that the year of publication, sample type and the percentage of women in the sample can be shown as sources related to the change in the reliability value. It is thought that it would be useful to report reliability coefficients in accordance with the research conditions and assumptions in future studies.