International Journal of Innovation and Scientific Research
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Gratitude as a predictor of Depressive Attributions

Volume 38, Issue 2, September 2018, Pages 238–243

 Gratitude as a predictor of Depressive Attributions

Amena Zehra Ali and Sheeza Rizwan

Original language: English

Received 14 November 2017

Copyright © 2018 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The present study was conducted to determine whether gratitude can work as a protective factor against depressive (pessimistic) attributions that people make about their lives. The study had two hypotheses; one expecting a negative correlation between the two variables and second expecting gratitude to predict lesser depressive attributions. For this purpose a sample of 328 participants (161 men and 167 women), with ages ranging from 17 – 40 years (x ̅=22.88, SD=4.244) was taken from various universities of Karachi city. Depressive Attributions Questionnaire (DAQ) and Gratitude Questionnaire-Six Item Form (GQ-6) along with a demographic information questionnaire were administered. Findings, using IBM SPSS 21, showed that the two variables have significant moderate negative relationship (r (328) = -.293, p<.001) and Gratitude was found to be a significant predictor of reduced Depressive attributions (β= -.45, t = -5.533, p < .001). Gratitude also explained a significant proportion of variance in depressive attribution scores (R2 = .086, F (1, 326) = 30.614, p < .001). It is therefore concluded that the attitude of gratitude or thankfulness does reduce the pessimistic view people develop about their lives.

Author Keywords: gratitude, pessimistic attribution style, pessimism, thankfulness.

How to Cite this Article

Amena Zehra Ali and Sheeza Rizwan, “Gratitude as a predictor of Depressive Attributions,” International Journal of Innovation and Scientific Research, vol. 38, no. 2, pp. 238–243, September 2018.