Ayyukan

  • mataki na wahala: sauki sauƙi , matsakaici matsakaici , wuya wuya , mai wuya sosai wuya
  • yana buƙatar matsa ( yana buƙatar matsa )
  • yana buƙatar coding ( yana buƙatar coding )
  • tattara bayanai ( tattara bayanai )
  • my favorites ( na fi so )

  1. [ wuya , yana buƙatar matsa ] A cikin babi na, na kasance mai matukar tabbacin game da bayanan. Duk da haka, wannan ba koyaushe yana inganta ingancin kimantawa ba. Shirya halin da ake ciki lokacin da post-stratification zai iya rage yawan ma'aunan ƙididdiga. (Domin wata alama, duba Thomsen (1973) .)

  2. [ wuya , tattara bayanai , yana buƙatar coding ] Zane da kuma gudanar da bincike akan rashin yiwuwar a kan Microsoft Mechanical Turk don tambaya game da mallakar bindiga da halaye game da gun bindiga. Don haka za ku iya kwatanta kimantawarku ga waɗanda aka samo daga samfurin samfurin, don Allah a kwafa da rubutun tambayoyi da zaɓuɓɓukan amsawa ta hanyar kai tsaye daga binciken mai zurfi irin su wadanda ke gudanar da Cibiyar Nazarin Pew.

    1. Yaya tsawon lokacin binciken ku? Nawa ne kudin? Ta yaya samfurori na samfurinka ya kwatanta da halayen mutanen Amurka?
    2. Mene ne ƙayyadaddun ƙididdigar mallakar mallakar bindiga ta amfani da samfurin?
    3. Daidaita don rashin bayanin da aka samo daga samfurin ta hanyar amfani da bayanan bayanan ko wata hanya. Yanzu menene kiyasta mallakar mallakar gungun?
    4. Yaya kimanin ku ya kwatanta da ƙayyadadden ƙari daga samfurin samfurin yiwuwa? Mene ne kake tunanin yin bayani game da rikice-rikice, idan akwai wani?
    5. Yi maimaita tambayoyi (b) - (d) don halaye game da sarrafa gun. Ta yaya bincikenku ya bambanta?

  3. [ sosai wuya , tattara bayanai , yana buƙatar coding ] Goel da abokan aiki (2016) gudanar da wasu tambayoyi masu mahimmanci da suka samo asali daga General Social Survey (GSS) kuma zaɓi binciken da Cibiyar Nazarin Pew ta kasance zuwa samfurin ba da yiwuwar samfurin masu sauraro daga Amazon Mechanical Turk. Sai suka gyara ga wadanda ba wakiltar bayanai ta hanyar amfani da samfurin gyaran samfurin ba idan aka kwatanta da ƙayyadaddun da aka tsara tare da waɗanda daga GSS da kuma binciken binciken Pew. Ka gudanar da wannan binciken a kan Amazon Mechanical Turk kuma ka yi kokarin sake kwatanta siffar 2a da siffar 2b ta hanyar kwatanta ƙayyadaddun ku da ƙididdiga daga ƙididdigar GSS da Pew. (Dubi shafi na A2 na lissafin tambayoyin 49).

    1. Yi kwatankwacin sakamakonka tare da waɗanda daga Pew da GSS.
    2. Yi kwatankwacin sakamakonka tare da waɗanda daga cikin binciken Mechanical Turk akan Goel, Obeng, and Rothschild (2016) .

  4. [ matsakaici , tattara bayanai , yana buƙatar coding ] Yawancin nazarin suna amfani da matakan da aka yi amfani da su akan wayar salula. Wannan wuri ne mai ban sha'awa inda masu bincike zasu iya kwatanta halin da aka ruwaito kansu da halayyar shiga (duba misali, Boase and Ling (2013) ). Abubuwa biyu na al'ada da zasu tambayi game da suna kira da aikawa, kuma lokuttan lokaci biyu suna "jiya" da kuma "a cikin makon da suka gabata."

    1. Kafin tattara duk wani bayanan, wane rahoto na kai rahoton kai kake tsammanin ya fi daidai? Me ya sa?
    2. Tada biyar daga abokanka don zama a cikin bincikenka. Don Allah a taƙaice taƙaita yadda aka samo waɗannan abokai guda biyar. Shin wannan samfurin samfurin zai haifar da wasu ƙin yarda a cikin ƙididdigarku?
    3. Tambaye su tambayoyin microsurvey masu zuwa:
    • "Sau nawa ka yi amfani da wayarka ta hannu don kiran wasu a jiya?"
    • "Nawa saƙonnin rubutu nawa ne?"
    • "Sau nawa ka yi amfani da wayarka ta hannu don kiran wasu a cikin kwanaki bakwai na ƙarshe?"
    • "Sau nawa kuka yi amfani da wayoyinku don aikawa ko karɓar saƙonnin rubutu / SMS a cikin kwanaki bakwai na ƙarshe?"
    1. Da zarar an kammala wannan microsurvey, tambayi don duba bayanan amfanin su kamar yadda aka sanya su ta waya ko mai bada sabis. Yaya rahoton yin amfani da kai yayi amfani da shi don yin amfani da bayanai? Wanne ne mafi daidai, wanda shine mafi kuskure?
    2. Yanzu hada bayanai da kuka tattara tare da bayanan daga wasu mutane a cikin kundin ku (idan kuna yin wannan aikin a ɗalibai). Da wannan dataset mai girma, maimaita sashi (d).

  5. [ matsakaici , tattara bayanai ] Schuman da Presser (1996) sun yi jayayya cewa tambayoyin tambayoyin zasu shafi abubuwa biyu: tambayoyin bangarori inda tambayoyin biyu suna daidai da matakan (misali, ra'ayoyin 'yan takarar shugaban kasa biyu); da kuma tambayoyin bangarori daban-daban inda tambaya ta gaba ta biyo bayan tambaya mafi mahimmanci (misali, tambayar "Yaya kayi murna da aikinka?" ya biyo baya "Yaya kayi murna da rayuwarka?").

    Sun kara halayyar nau'o'in tambayoyi iri biyu: sakamako na daidaito yana faruwa a lokacin da aka mayar da martani zuwa tambaya ta gaba (fiye da yadda za su kasance) ga waɗanda aka ba su tambaya ta farko; Akwai bambanci da ke faruwa a yayin da akwai bambancin da ke tsakanin martani ga tambayoyi biyu.

    1. Ƙirƙirar wasu tambayoyi na ɓangaren da kake tsammani zasu sami sakamako mai girma; wani bangare guda biyu na tambayoyin da kake tsammanin za su sami tasiri mai yawa; da kuma tambayoyin tambayoyin da ka yi la'akari ba zai da mahimmanci. Gudanar da gwajin binciken kan Amazon Mechanical Turk don gwada tambayoyinku.
    2. Mene ne babban sakamako na ɓangare na ka iya ƙirƙirar? Shin daidaito ne ko tasiri?
    3. Yaya girman ɓangaren ɓangaren da kuka iya haifarwa? Shin daidaito ne ko tasiri?
    4. Shin, akwai wata tambaya da za a yi a cikin ɗayanku inda ba ku tsammanin umarni zai zama ba?

  6. [ matsakaici , tattara bayanai ] Gina a kan aikin Schuman da Presser, Moore (2002) kwatanta wani nau'i mai mahimmanci game da batun tambaya: ƙari da ƙananan sakamako. Duk da yake bambanci da daidaitattun abubuwan da aka samo su ne sakamakon sakamakon binciken masu sauraron abubuwa biyu dangane da juna, an samar da mahimmanci da magungunan subtractive lokacin da ake amsa tambayoyin da ya fi dacewa da girman tsarin da aka tsara tambayoyin. Karanta Moore (2002) , sa'an nan kuma tsara da gudanar da gwaje-gwajen binciken a kan MTurk don nuna ƙari ko ƙananan sakamako.

  7. [ wuya , tattara bayanai ] Christopher Antoun da abokan aiki (2015) gudanar da binciken da aka kwatanta da samfurorin samfurori da aka samo daga samfurori daban-daban daban daban na intanet: MTurk, Craigslist, Google AdWords da Facebook. Yi bincike mai sauƙi kuma tattara masu halartar ta hanyar akalla sau biyu masu amfani da layi na kan layi (waɗannan tushe zasu iya bambanta da asalin da aka yi amfani da ita a Antoun et al. (2015) ).

    1. Yi la'akari da kudin da mai tarawa-dangane da kudi da lokaci-tsakanin kafofin daban-daban.
    2. Yi kwatanta abin da aka samo daga samfurori daban-daban.
    3. Yi la'akari da ingancin bayanai tsakanin samfurori. Don ra'ayoyi game da yadda za'a auna ma'auni daga masu amsawa, duba Schober et al. (2015) .
    4. Mene ne tushen da kake so? Me ya sa?

  8. [ matsakaici ] A kokarin ganin hangen nesa na 2016 EU Referendum (watau Brexit), kamfanin yanar gizo na yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizon yanar-gizo.

    Za'a iya samun cikakken bayani game da tsarin lissafi na YouGov a https://yougov.co.uk/news/2016/06/21/yougov-referendum-model/. Da kyau magana, YouGov ya raba masu jefa kuri'a a cikin nau'o'in da za a zabi zaben za ~ en 2015, shekaru, cancanta, jinsi, da kwanan wata hira, da kuma yankunan da suka zauna. Na farko, sun yi amfani da bayanan da aka tattara daga masu kula da kafofin na YouGov don kimantawa, tsakanin waɗanda suka zabe, yawan mutanen da kowane mai jefa kuri'a ya yi niyyar zabe. Sun kiyasta jerin nau'o'in kowane mai jefa kuri'a ta amfani da Bincike na Za ~ e na Birnin Birnin Birnin Birnin Birnin Birnin Bana (BES), na Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birnin Birtaniya (BES). A ƙarshe, sun ƙaddara yawan mutane da yawa na kowane nau'i na masu jefa kuri'a a cikin zaɓen zaɓe, bisa ga ƙidayar ƙidaya da kididdigar yawan jama'a (tare da wasu bayanan bayani daga wasu bayanan bayanan).

    Kwana uku kafin zaben, YouGov ya nuna maki biyu don barin. A ranar da za a gudanar da zabe, zabe ya nuna cewa sakamakon ya kasance kusa da kira (49/51 Dama). Karshen karatun ranar da aka yi annabci 48/52 yana son kasancewa (https://yougov.co.uk/news/2016/06/23/yougov-day-poll/). A gaskiya ma, wannan ƙididdiga ta rasa ƙarshen sakamakon (52/48 Hagu) ta maki hudu.

    1. Yi amfani da tsarin ɓangaren binciken da aka tattauna a cikin wannan babi don tantance abin da zai yi kuskure.
    2. Amsarka na YouGov bayan zaben (https://yougov.co.uk/news/2016/06/24/brexit-follows-close-run-campaign/) ya bayyana: "Wannan alama a cikin babban ɓangare saboda juyawa-wani abu da mun ce duk gaba ɗaya zai zama muhimmiyar mahimmanci ga sakamakon wannan tseren daidaitacce. Yawan tsarin mu na tushen, a wani ɓangare, kan ko masu amsa sun zabe a zaben da aka yi na karshe kuma matakin da ya fi kowa ya yi nasara a kan babban zaben da aka yi a cikin Arewa. "Shin wannan ya canza amsarku ga sashi (a)?

  9. [ matsakaici , yana buƙatar coding ] Rubuta wani kwaikwayo don kwatanta kowane ɓangare na kuskure a cikin siffar 3.2.

    1. Ƙirƙirar yanayi inda wadannan kurakurai suka soke.
    2. Ƙirƙirar yanayi inda kuskuren suka haɗa juna.

  10. [ sosai wuya , yana buƙatar coding ] Bincike na Blumenstock da abokan aiki (2015) hada da gina tsarin ƙirar na'ura wanda zai iya amfani da bayanan layi don gano hangen nesa. Yanzu, za ku gwada irin wannan abu tare da dataset daban daban. Kosinski, Stillwell, and Graepel (2013) gano cewa Facebook likes na iya hango hasashen mutum da halaye. Abin mamaki ne, waɗannan tsinkaya za su iya zama mafi daidai fiye da na abokai da abokan aiki (Youyou, Kosinski, and Stillwell 2015) .

    1. Karanta Kosinski, Stillwell, and Graepel (2013) , da kuma adadi na 2. Abun da suke samuwa a http://mypersonality.org/
    2. Yanzu, sabon adadi 3.
    3. A ƙarshe, gwada samfurin su akan bayanan Facebook naka: http://applymagicsauce.com/. Yaya yadda yake aiki a gare ku?

  11. [ matsakaici ] Toole et al. (2015) sunyi amfani da bayanan rikodin kira (CDRs) daga wayoyin hannu don hango hasashen ƙaddara rashin aikin yi.

    1. Kwatanta da bambanta nazarin nazarin Toole et al. (2015) tare da na Blumenstock, Cadamuro, and On (2015) .
    2. Kuna tsammanin CDRs ya maye gurbin binciken binciken gargajiya, ya dace da su ko ba za a yi amfani dashi ba don masu gudanar da manufofin gwamnati don biye da rashin aiki? Me ya sa?
    3. Wane shaidu zai tabbatar da ku cewa CDR zai iya maye gurbin matakan gargajiya na rashin aikin yi?

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