hana

Key:

  • degere o ka pilikia; oluolu oluolu , meakino meakino , ikaika paakiki , Nui nui
  • pono makemakika ( pono makemakika )
  • pono coding ( pono coding )
  • ikepili haul ( ikepili ohi )
  • koʻu punahele ( koʻu punahele )

  1. [ paakiki , pono makemakika ] Ma ka mokuna, aole au he nui loa maikaʻi i kia-stratification. Nō naʻe, he 'aʻole mau hoʻoikaika i ka Hawaiʻi o koho. Kapili i kahi kahua kahi e Mail-stratification ke emi i ka Hawaiʻi o koho. (No ka mea, o ka, hoʻomaoe, ike Thomsen (1973) ).

  2. [ paakiki , ikepili ohi , pono coding ] Design, ae hana i nā probability ana on Amazon MTurk e ninau e pili ana i ka pū ona ( "anei ia oukou, a hana i kekahi i loko o koʻoukou mau hale, mau i ka pu, rifle paha panapana? No ia oe ai 'ole kekahi i loko o kou hale?"), A me mau kino i ka pū ke kāohi ( "Heaha hana oukou e manao ua oi aku ka nui, e pale aku i ka pono o Americans ka 'ona pū, ai ole ia, e kū pū ona?").

    1. Pehea lā ka lōʻihi, aole oukou anamanaʻo i? Ehia aha ia mea loaʻa? Pehea la hoi i na HI ana o ko oukou hāpana hoohalike ai i na HI ana o ka US heluna?
    2. He aha ka maka olelo o ka pū, a he ona me ko oukou hāpana?
    3. Pololei no ka mea, o ka ole-representativeness o ko oukou hāpana me kia-stratification ole kekahi i kekahiʻano hana. Ano ka mea, oia no ka olelo o ka pū ona?
    4. Pehea hoi ka oukou poe koho hoohalike i ka hope olelo mai Pew Research Center? He aha kou manaʻo wehewehe i na discrepancies, ina he mea kekahi?
    5. E hana hou i ka hoʻokō '2-5 No ka mea, maikaʻi i ka pū i ka mana hoʻomalu. Pehea la ko oukou hopena oko?

  3. [ nui , ikepili ohi , pono coding ] Goel a me nā hoapili (2016) lawelawe i pili-probability-aʻo ana he 49 mau-koho attitudinal nīnau e holo ana mai ka General Social Survey (GSS) a me ka wae ana ma ka Pew Research Center ma Amazon MTurk. Lakou alaila, hoʻomaʻa no ka mea ole-representativeness o na aeaiiuo ka hoʻohana kükohu-Aʻo kia-stratification (Mr. P), ai ka hoohalike ana i ka hoʻoponopono iho koho me ka poe aayoaeuiinoe hoʻohana probability-Aʻo GSS / Pew ana. Hana i ka ia anamanaʻo ma MTurk, ae hoao e replicate ke Kii 2a, a me ke Kii 2b ma ke kapakai ko oukou hoʻoponopono iho koho i ka poe koho, mai ka mea hala koke puni o GSS / Pew (See i paiiaʻi na papa A2 no ka mea, o ka papa inoa o ka 49 nīnau).

    1. Hoʻohālikelike ae Akä naÿe ko oukou mau hualoaʻa i nā hualoaʻa mai Pew, a me GSS.
    2. Hoʻohālikelike ae Akä naÿe ko oukou mau hualoaʻa i nā hualoaʻa ma ka MTurk anamanaʻo ma Goel, Obeng, and Rothschild (2016) .

  4. [ meakino , ikepili ohi , pono coding ] Nui haʻawina e hoʻohana i ka hoʻoponopono hoike ana o Kelepona Paʻi ha awina aeaiiuo. Keia mea he hoihoi 'okoʻa no ka manawa, kahi noiʻi e hoohalike pakiko-hoike hana me ka ua paʻaʻia hana (e nānā i IAOEIAaO, Boase and Ling (2013) ). Elua na hana kūpono, e noi ana e kahea ana, a me texting, a elua na manawa haalulu iho he "nehinei" a "ma ka hebedoma i ka hala."

    1. Mua o kaʻohi i kekahi 'ike, a no ka hoʻoponopono hoike ana anei ia oukou ke manao ua oi aku ka pololei? No ke aha mai?
    2. Imi 5 o ko oukou mau makamaka, e noho iloko o ko oukou anamanaʻo. Please iki hōʻuluʻulu i keia mau 5 hoaaloha, ua Eia kekahi laʻana. Ke ano o keia mea hōʻikeʻikeʻuʻuku ina hana induce ho'ākāka biases iloko o ko oukou mau koho?
    3. E ninau aku iā lākou, penei anakahi iki-anamanaʻo:
    • "Ehia na manawa he la oe i hoʻohana Kelepona Paʻi, e kahea aku ia hai inehinei?"
    • "Ehia kikokikona memo i oe i hoouna inehinei?"
    • "Ehia na manawa i oe e hoʻohana i kou Kelepona Paʻi, e kahea ae, i ka hope lāʻehiku?"
    • "Ehia nui na manawa a oukou e hoʻohana i kou Mobile kelepona e hoouna mai ae loaa kikokikona memo / SMS i ka hope lāʻehiku?" Noho ka anamanaʻo ana, e noi, e huli i ko lakou oAaEeIeIAaIAeOʻikepili e like me ua paʻaʻia ma ko lākou mau kelepona a hana pūnaewele.
    1. Pehea pakiko-hoike oAaEeIeIAaIAeO hoohalike i ka mōʻaukala ikepili? I ka mea pololei, i ka mea uuku pololei?
    2. Ano, hui pu iho la i ka ikepili ka mea a oukou i ohi i ka ikepili mai kekahi poʻe kānaka i loko o koʻoukou mau papa (ina oe e hana i keia ha awina no ka papa). Me keia nui dataset, hou hapa (d).

  5. [ meakino , ikepili ohi ] Schuman, a me Presser (1996) hoʻopaʻapaʻa ia nīnau kauoha e ia mea no ka mea, elua ano o ka pili aloha ma waena nīnau: hapa-hapa nīnau kahi mau nīnau ma ka ia nui o ka specificity (e like Estate o elua presidential moho); a me ka hapa-pau nīnau kahi he ninau nui ia mahope iho o ka oi aku i ho'ākāka 'nīnau (e like me ka noi "Pehea māʻona poe ia oukou, me ko oukou hana?" ukali ia e "Pehea māʻona hoʻiʻoe i kou ola?").

    Lakou no hoi i emi iho elua ano o ka ninau pono ole: consistency ole ana i ka wa pane i ka ninau hope, ua lawe mai pilina (ma mua o lakou e ole e) i ka poe i haawi mai i ka ninau mua aku; Akä naÿe waiwai i hoʻomaka ai i ka wa malaila, ua oi aku oko ao ma waena o pane i elua ninau.

    1. Ho okumu i kekahi mau o ka hapa-hapa nīnau i ko oukou manao, e loaa he nui nīnau kauoha kanawai, he mau o ka hapa-okoa nīnau i ko oukou manao, e loaa i ka nui o ka papa kanawai, a me kekahi mau o na ninau nona ka mea a oukou manao makemake, aole mea. Hoʻoholo i ke anamanaʻo hoʻokolohua ma MTurk e hoao ai ko oukou mau nīnau.
    2. Pehea nui o ka hapa-mahele hookoia hiki ia ia ke hana i ia oukou? He mea i consistency paha Akä naÿe kanawai?
    3. Pehea nui o ka hapa-pau hookoia hiki ia ia ke hana i ia oukou? He mea i consistency paha Akä naÿe kanawai?
    4. I laila he ninau pololei ia i loko o koʻoukou mau wahi ia oukou i manao i ke kauoha e mea?

  6. [ meakino , ikepili ohi ] Kukulu maluna o ka hana o Schuman, a me Presser, Moore (2002) hōʻike ana i Ana kaawale o ka ninau pono ole: additive a me ka subtractive. Ia Akä naÿe, a me consistency waiwai, ua hua mai la e like me ia i kaʻilihune respondents 'loiloi' ana ma o ka 'ikamu elua ana i kekahi i kekahi, additive, a ua hua mai subtractive' ole i ka wa respondents ua hana hou 'ikepili i ka nui? Aieao i loko i nā nīnau i posed. Heluhelu mai o Moore (2002) , alaila, manao ae holo i ka anamanaʻo hoʻokolohua ma MTurk, e hōʻike aku additive a subtractive loa.

  7. [ paakiki , ikepili ohi ] Manuela Antoun, a me nā hoapili (2015) lawelawe 'ia ka hoʻopaʻa' ana i ke kapakai a ka pono Eia kekahi laʻana loaa mai ehaʻokoʻa online no pūʻali koa kumu: MTurk, Craigslist, Google ka poʻe hoʻolaha, a me Facebook. Mea i manao ai, he mea anamanaʻo ae Imi i komo ma he elua okoa online no pūʻali koa kumu (lakou e hiki ke lilo okoa kumu, mai na kumu eha hoʻohana 'ia i loko o Antoun et al. (2015) ).

    1. Hoohalike i ka lilo o ka 'Imi, ma ka olelo o ke dala a me ka manawa, i waena o okoa kumu.
    2. Hoohalike i ka haku mele o nā Eia kekahi laʻana loaa mai okoa kumu.
    3. Hoohalike i ka mea e like ai o aeaiiuo ma waena o nā Eia kekahi laʻana. No ka mea, manaʻo e pili ana i ka 'ikepili ana ma Hawaiʻi mai respondents, ike Schober et al. (2015) .
    4. He aha kāu mau pahuhopu i kumu? No ke aha mai?

  8. [ meakino ] YouGov, he punaewele ke aʻo kahua makeke noiʻi naue ole, alakaʻi online, mau poo no ka panel o ka puni 800.000 respondents ma ka UK, a hoʻohana Mr. P. ke kilokilo i ka hopena o eu Referendum ( 'o ia hoʻi, Brexit) kahi a ka UK koho balota ma e noho i ole haʻalele i ka 'Eulopa Union.

    A piha ho'ākāka 'ana no YouGov ke ana helu kükohu heʻaneʻi (https://yougov.co.uk/news/2016/06/21/yougov-referendum-model/). Koʻikoʻi olelo ana, YouGov i pohā koho pāloka i ke ano ma muli o 2015 koho o koho maikai loa, makahiki, palapala hōʻoia, ka wahine, la o ko laua halawai, e like me ka constituency a lakou e noho i loko. First, lakou i hoʻohana 'ikepili i ohi ia mai ka YouGov panelists e manaʻo, mawaena o ka poe ka poe koho, ma ka like ana o na kanaka o kela a me keia koho type i manao ai e koho haʻalele. Lakou kiÿeleo turnout o kela a me keia koho 'ano ma ka hoʻohana' ana i ka 2015 Pelekāne Koho Balota Study (BES) kia-koho maka-i-maka ana, i hōʻoiaʻia turnout mai ka electoral palapala. Eia ke oki, lakou i manaʻo ehia na kanaka malaila, ua o kela a me keia koho 'ano i loko o ka electorate nānā' ana i hope helu, a me makahiki Heluna Survey (me kekahi hou ike mai ka BES, YouGov anamanaʻo 'ikepili mai a puni ka poe koho o, a me ka' ike i ka nui o na kanaka i hooholoia no ka mea, kela aoao, ma kela a me keia constituency).

    lāʻekolu i mua o ke koho ana, YouGov hōʻike he elua welau alakai no ka haalele. Ma ke Ewa o ke koho, ke kino hoike nui kokoke ana i kapa aku (49-51 noho). Ka hope i-ka-la hoʻopaʻa wānana 48/52 ma ka aoao o ka noho (https://yougov.co.uk/news/2016/06/23/yougov-day-poll/). I mea, i keia olelo hala ka hope? Acoeueoao (52-48 waiho) ka eha pakeneka o ka papa.

    1. E ho ohana i ka huina anamanaʻo hewa o keia hoopunipuni? Aieao i kūkākūkā i loko o kēia mokuna, e Loiloi i ka mea a hiki i hele hewa.
    2. YouGov ka pane a mahope iho o ke koho (https://yougov.co.uk/news/2016/06/24/brexit-follows-close-run-campaign/) wehewehe: "keia mea ma ka hapa, he nui no ka turnout - i kekahi mea e ua olelo na mea a pau ma kakou e eʻano nui i ka hope o ia he finely 'o ke kaulike heihei. Ko kakou turnout ÷ ua muli, ma ka hapa, ma paha respondents i hooholoia ma ka hope koho, a me ka turnout pae ma luna o ka mea a mau ke koho leʻa hoʻi ke kumu hoʻohālike, pakahi aku la ia iloko o ka Akau. "O keia anei ka hoʻololi i kou pane i ka hapa (a)?

  9. [ meakino , pono coding ] E kakau iho i kekahi kauoha e kahaki kela a me keia o ka hoohalike ai ka wahaheʻe i loko o Kii 3.1.

    1. Ho okumu i kekahi kahua kahi mau hewa nae Hoʻopau aku.
    2. Ho okumu i kekahi kahua kahi o ka hewa i huiʻia aku kekahi i kekahi.

  10. [ nui , pono coding ] Ka noiʻi a Blumenstock, a me nā hoapili (2015) pae'āina ke kūkuluʻana i ka mīkini aʻo ÷ ka mea hiki ke hoʻohana mīkini kumumea kaʻikepili e kilokilo anamanaʻo ai i nā pane. Ano,ʻoukou e hele aku e hoao i ka ia mea, me ka okoa dataset. Kosinski, Stillwell, and Graepel (2013) loaa o Facebook like ke kilokilo kanaka kāna moʻolelo a meʻAno. Surprisingly, i keia mau wānana hiki e e oi aku mamua o ka poe pololei o na hoaaloha a me na nā hoapili (Youyou, Kosinski, and Stillwell 2015) .

    1. Heluhelu mai o Kosinski, Stillwell, and Graepel (2013) , a replicate Kii 2. E ko lakouʻikepili ua loaʻa maʻaneʻi; http://mypersonality.org/
    2. Ano, replicate Kii 3.
    3. Eia ke oki, e ho'āʻo i ko lakou kumu hoʻohālike maluna o ko oukou mau Facebook aeaiiuo: http://applymagicsauce.com/. Pehea pono anei ia hana no oukou?

  11. [ meakino ] Toole et al. (2015) hoʻohana hea au mamuli mooolelo (CDRs) mai Mobile kaul e kilokilo 'Ohi ka nele i ke au.

    1. Hoohalike ae Akä naÿe i ka manao o Toole et al. (2015) me Blumenstock, Cadamuro, and On (2015) .
    2. Anei ia oukou ke manao CDRs e puku kahiko ana, complement lakou, ai ole ia, aole e hoʻohana 'ma na mea a pau no ke aupuni policymakers e Track ka nele? No ke aha mai?
    3. Heaha ka hoike e hoomaopopo ia oukou ka mea e CDRs hiki loa kuapo kuʻuna ana o ka nele ana?

Powered by Open Review Toolkit