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

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 Chile (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

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

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

DTEF [indiv]: Predict individual answers for More excited than concerned (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 Equally concerned and excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Buddhism. Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kenya. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Male. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Female. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Equally concerned and excited. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Christianity. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Female. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for United Kingdom. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for More concerned than excited. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 56-65. Source: Global Dialogues GD6UK (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Philippines. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Other religious group. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Judaism. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Hinduism. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Male. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for United Kingdom. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Philippines. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Pakistan. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kazakhstan. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Israel. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Indonesia. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for India. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for China. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 26-35. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Judaism. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Urban. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Suburban. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Spain. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Poland. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Italy. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Egypt. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Brazil. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Bangladesh. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Egypt. Source: Global Dialogues GD5 (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 Judaism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

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

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

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

DTEF [indiv]: Predict individual answers for Singapore (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 Pakistan (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 Morocco (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 Malaysia (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)

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

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

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

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

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

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

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

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

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

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

DTEF [indiv]: Predict individual answers for More concerned than excited (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 56-65 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

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

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

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

DTEF [indiv]: Predict individual answers for United States (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)

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

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

DTEF: Predict response distributions for Israel. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Bangladesh. Source: Global Dialogues GD6 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Brazil. Source: Global Dialogues GD5 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Turkey. Source: Global Dialogues GD3 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for Kenya. Source: Global Dialogues GD2 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for More excited than concerned. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)

DTEF: Predict response distributions for 36-45. Source: Global Dialogues GD7 (https://github.com/collect-intel/global-dialogues)