{"id":30176,"date":"2014-07-14T13:47:44","date_gmt":"2014-07-14T18:47:44","guid":{"rendered":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/2014\/07\/14\/methods-in-detail-9\/"},"modified":"2024-04-14T00:11:40","modified_gmt":"2024-04-14T05:11:40","slug":"methods-in-detail-9","status":"publish","type":"post","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/global\/2014\/07\/14\/methods-in-detail-9\/","title":{"rendered":"Methods in Detail"},"content":{"rendered":"

About the 2014 Spring Pew Global Attitudes Survey<\/strong><\/p>\n\n

Results for the survey are based on telephone and face-to-face interviews conducted under the direction of Princeton Survey Research Associates International. Survey results are based on national samples. For further details on sample designs, see below.<\/p>\n\n

The descriptions below show the margin of sampling error based on all interviews conducted in that country. For results based on the full sample in a given country, one can say with 95% confidence that the error attributable to sampling and other random effects is plus or minus the margin of error. In addition to sampling error, one should bear in mind that question wording and practical difficulties in conducting surveys can introduce error or bias into the findings of opinion polls.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Country:<\/td>\nArgentina<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by locality size<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 17 \u2013 May 11, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.9 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding dispersed rural population, or 6.5% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nBangladesh<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by administrative division and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nBengali<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 14 \u2013 May 11, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.8 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nBrazil<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and size of municipality<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nPortuguese<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 10 \u2013 April 30, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,003<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.8 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nChile<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 25 \u2013 May 5, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.8 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding Chiloe and other islands, or about 3% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nChina<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nChinese (Mandarin, Fuping, Renshou, Suining, Xichuan, Hua, Shanghai, Chenzhou, Anlong, Chengdu, Yingkou, Guang\u2019an, Zibo, Jinxi, Yantai, Feicheng, Leiyang, Yuanjiang, Daye, Beijing, Yangchun, Nanjing, Shucheng, Linxia, Yongxin, Chun\u2019an, Xinyang, Shangyu, Baiyin, Ruichang, Xinghua and Yizhou dialects)<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 May 15, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n3,190<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding Tibet, Xinjiang, Hong Kong and Macau, or about 2% of the population). Disproportionately urban. The data were weighted to reflect the actual urbanity distribution in China.<\/td>\n<\/tr>\n
Note:<\/td>\nThe results cited are from Horizonkey\u2019s self-sponsored survey.<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nColombia<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 12 \u2013 May 8, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,002<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding region formerly called the National Territories and the islands of San Andres and Providencia, or about 4% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nEgypt<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by governorate and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nArabic<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 10 \u2013 April 29, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.3 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding frontier governorates, or about 2% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nEl Salvador<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by department and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 28 \u2013 May 9, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,010<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nFrance<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RDD) sample of landline and cell phone households with quotas for gender, age and occupation and stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nFrench<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 17 \u2013 April 1, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,003<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.1 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nTelephone households (roughly 99% of all French households)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nGermany<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RL(2)D) probability sample of landline households, stratified by administrative district and community size, and cell phone households<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nGerman<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 17 \u2013 April 2, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nTelephone households (roughly 99% of all German households)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nGhana<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and settlement size<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nAkan (Twi), English, Dagbani, Ewe<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMay 5 \u2013 May 31, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.8 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nGreece<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nGreek<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 22 \u2013 April 9, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.7 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding the islands in the Aegean and Ionian Seas, or roughly 6% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nIndia<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nHindi, Bengali, Tamil, Telugu, Marathi, Kannada, Gujarati, Odia<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 14 \u2013 May 1, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n2,464<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.1 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population in 15 of the 17 most populous states (Kerala and Assam were excluded) and the Union Territory of Delhi (roughly 91% of the population). Disproportionately urban. The data were weighted to reflect the actual urbanity distribution in India.<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nIndonesia<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by province and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nBahasa Indonesian<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 17 \u2013 May 23, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding Papua and remote areas or provinces with small populations, or 12% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nIsrael<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by district, urbanity and socioeconomic status, with an oversample of Arabs<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nHebrew, Arabic<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 24 \u2013 May 11, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000 (597 Jews, 388 Arabs, 15 others)<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.3 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (The data were weighted to reflect the actual distribution of Jews, Arabs and others in Israel.)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nItaly<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nItalian<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 18 \u2013 April 7, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.3 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nJapan<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RDD) probability sample of landline households stratified by region and population size<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nJapanese<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 10 \u2013 April 27, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.2 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nLandline households (roughly 86% of all Japanese households)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nJordan<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by governorate and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nArabic<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 April 29, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nKenya<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by province and settlement size<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nKiswahili, English<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 18 \u2013 April 28, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,015<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nLebanon<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nArabic<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 May 2, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.1 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding a small area in Beirut controlled by a militia group and a few villages in the south of Lebanon, which border Israel and are inaccessible to outsiders, or about 2% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nMalaysia<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by state and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nBahasa Malaysia, Mandarin Chinese, English<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 10 \u2013 May 23, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,010<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.8 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding difficult to access areas in Sabah and Sarawak, or about 7% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nMexico<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 21 \u2013 May 2, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nNicaragua<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by department and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 23 \u2013 May 11, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,008<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding residents of gated communities and multi-story residential buildings, or less than 1% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nNigeria<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nEnglish, Hausa, Yoruba, Igbo<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 May 25, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,014<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.3 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding Adamawa, Borno, Cross River, Jigawa, Yobe, and some areas in Taraba, or roughly 12% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nPakistan<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by province and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nUrdu, Pashto, Punjabi, Saraiki, Sindhi<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 15 \u2013 May 7, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,203<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.2 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding the Federally Administered Tribal Areas, Gilgit-Baltistan, Azad Jammu and Kashmir for security reasons, areas of instability in Khyber Pakhtunkhwa [formerly the North-West Frontier Province] and Baluchistan, military restricted areas and villages with less than 100 inhabitants \u2013 together, roughly 18% of the population). Disproportionately urban. The data were weighted to reflect the actual urbanity distribution in Pakistan.<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nPalestinian territories<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urban\/rural\/refugee camp population<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nArabic<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 15 \u2013 April 22, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.4 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding Bedouins who regularly change residence and some communities near Israeli settlements where military restrictions make access difficult, or roughly 5% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nPeru<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 May 2, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nPhilippines<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nTagalog, Cebuano, Ilonggo, Ilocano, Bicolano<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMay 1 \u2013 May 21, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,008<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nPoland<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by province and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nPolish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 17 \u2013 April 8, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,010<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.6 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nRussia<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by Russia\u2019s eight geographic regions, plus the cities of Moscow and St. Petersburg, and by urban-rural status<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nRussian<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 4 \u2013 April 20, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.6 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excludes Chechen Republic, Ingush Republic and remote territories in the Far North \u2013 together, roughly 3% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nSenegal<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nWolof, French<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 17 \u2013 May 2, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.7 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nSouth Africa<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by metropolitan area, province and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nEnglish, Zulu, Xhosa, South Sotho, Afrikaans, North Sotho<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMay 18 \u2013 June 5, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nSouth Korea<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RDD) probability sample of adults who own a cell phone<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nKorean<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 17 \u2013 April 30, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,009<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.2 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdults who own a cell phone (roughly 96% of adults age 18 and older)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nSpain<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RDD) probability sample of landline and cell phone-only households stratified by region<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish\/Castilian<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 17 \u2013 March 31, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,009<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.2 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nTelephone households (roughly 97% of Spanish households)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nTanzania<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nKiswahili<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 18 \u2013 May 7, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,016<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding Zanzibar, or about 3% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nThailand<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nThai<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 23 \u2013 May 24, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.9 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding the provinces of Narathiwat, Pattani, and Yala, or about 3% of the population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nTunisia<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by governorate and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nTunisian Arabic<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 19 \u2013 May 9, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.0 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nTurkey<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region, urbanity and settlement size<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nTurkish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 May 16, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,001<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nUganda<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nLuganda, English, Runyankole\/Rukiga, Luo, Runyoro\/Rutoro, Ateso, Lugbara<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 25 \u2013 May 9, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,007<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.9 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nUkraine<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by Ukraine\u2019s six regions plus ten of the largest cities \u2013 Kyiv (Kiev), Kharkiv, Dnipropetrovsk, Odessa, Donetsk, Zaporizhia, Lviv, Kryvyi Rih, Lugansk, and Mikolayev \u2013 as well as three cities on the Crimean peninsula \u2013 Simferopol, Sevastopol, and Kerch<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nRussian, Ukrainian<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 5 \u2013 April 23, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,659<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.3 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (Survey includes oversamples of Crimea and of the South, East and Southeast regions. The data were weighted to reflect the actual regional distribution in Ukraine.)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nUnited Kingdom<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RDD) probability sample of landline households, stratified by government office region, and cell phone-only households<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nEnglish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nMarch 17 \u2013 April 8, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.4 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nTelephone households (roughly 98% of all households in the United Kingdom)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nUnited States<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nRandom Digit Dial (RDD) probability sample of landline and cell phone households<\/td>\n<\/tr>\n
Mode:<\/td>\nTelephone adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nEnglish, Spanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 22 \u2013 May 11, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,002<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nTelephone households with English or Spanish speakers (roughly 96% of U.S. households)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nVenezuela<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and parish size<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nSpanish<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 11 \u2013 May 10, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-3.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population (excluding remote areas, or about 4% of population)<\/td>\n<\/tr>\n
<\/td>\n<\/tr>\n
Country:<\/td>\nVietnam<\/strong><\/td>\n<\/tr>\n
Sample design:<\/td>\nMulti-stage cluster sample stratified by region and urbanity<\/td>\n<\/tr>\n
Mode:<\/td>\nFace-to-face adults 18 plus<\/td>\n<\/tr>\n
Languages:<\/td>\nVietnamese<\/td>\n<\/tr>\n
Fieldwork dates:<\/td>\nApril 16 \u2013 May 8, 2014<\/td>\n<\/tr>\n
Sample size:<\/td>\n1,000<\/td>\n<\/tr>\n
Margin of error:<\/td>\n+\/-4.5 percentage points<\/td>\n<\/tr>\n
Representative:<\/td>\nAdult population<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"

About the 2014 Spring Pew Global Attitudes Survey Results for the survey are based on telephone and face-to-face interviews conducted under the direction of Princeton Survey Research Associates International. Survey results are based on national samples. For further details on sample designs, see below. The descriptions below show the margin of sampling error based on 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Opposition to U.S. Surveillance and Drones, but Limited Harm to America\u2019s Image","slug":"global-opposition-to-u-s-surveillance-and-drones-but-limited-harm-to-americas-image","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/global\/2014\/07\/14\/global-opposition-to-u-s-surveillance-and-drones-but-limited-harm-to-americas-image\/","is_active":false},{"id":30136,"title":"Chapter 1: The American Brand","slug":"chapter-1-the-american-brand","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/global\/2014\/07\/14\/chapter-1-the-american-brand\/","is_active":false},{"id":30144,"title":"Chapter 2: China\u2019s Image","slug":"chapter-2-chinas-image","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/global\/2014\/07\/14\/chapter-2-chinas-image\/","is_active":false},{"id":30152,"title":"Chapter 3: Balance of Power: U.S. vs. 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