DTEF [indiv]: Predict individual answers for Japan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for India (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Bangladesh (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Australia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 46-55 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 36-45 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Other religious group (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Male (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Poland (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Male (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Vietnam (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for South Africa (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Morocco (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Malaysia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Chile (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 26-35 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Suburban (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Judaism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Male (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Female (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Philippines (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Mexico (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Kenya (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)