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Bit By Bit
: Social Research in the Digital Age
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Dibaji
1 Utangulizi
1.1 Msamehevu wino
1.2 Karibu umri digital
1.3 kubuni Utafiti
1.4 Mandhari ya kitabu hiki
1.4.1 Readymades na Custommades
1.4.2 Simplicity juu ya utata
1.4.3 Maadili kila mahali
1.5 Outline ya kitabu
2 Kuchunguza tabia
2.1 Kuanzishwa
2.2 data Big
2.3 Common tabia ya data kubwa
2.3.1 Sifa kwamba ni nzuri kwa ujumla kwa ajili ya utafiti
2.3.1.1 Big
2.3.1.2 Kila mara
2.3.1.3 Non-tendaji
2.3.2 Sifa ambayo kwa ujumla mbaya kwa ajili ya utafiti
2.3.2.1 haujakamilika
2.3.2.2 Inaccessible
2.3.2.3 Non-mwakilishi
2.3.2.4 Drifting
2.3.2.5 algorithmically kuhangaika
2.3.2.6 Dirty
2.3.2.7 Sensitive
2.4 mikakati Utafiti
2.4.1 Kuhesabu mambo
2.4.1.1 Teksi katika New York City
2.4.1.2 Urafiki malezi miongoni mwa wanafunzi
2.4.1.3 Udhibiti wa kijamii vyombo vya habari na serikali ya China
2.4.2 Utabiri na nowcasting
2.4.3 approximating majaribio
2.4.3.1 Mtindo majaribio
2.4.3.2 Matching
2.5 Hitimisho
Ufundi appendix
ufafanuzi zaidi
shughuli
3 Kuuliza maswali
3.1 Kuanzishwa
3.2 Kuuliza vs kuchunguza
3.3 jumla makosa utafiti mfumo
3.3.1 Uwakilishi
3.3.2 Vipimo
3.3.3 Gharama
3.4 Nani kuuliza
3.4.1 Uwezekano sampuli: ukusanyaji wa takwimu na uchambuzi wa data
3.4.2 Non-uwezekano sampuli: Viktning
3.4.3 Non-uwezekano sampuli: sampuli vinavyolingana
3.5 Njia mpya ya kuuliza maswali
3.5.1 Ecological tathmini ya muda wa kitambo
3.5.2 Wiki tafiti
3.5.3 Gamification
3.6 Uchunguzi wanaohusishwa na data nyingine
3.6.1 Amplified kuuliza
3.6.2 utajiri kuuliza
3.7 Hitimisho
Ufundi appendix
ufafanuzi zaidi
shughuli
4 majaribio Running
4.1 Kuanzishwa
4.2 Je, ni majaribio?
4.3 Mbili vipimo ya majaribio: maabara-shamba na Analog-digital
4.4 Kusonga zaidi ya majaribio rahisi
4.4.1 Uhalali
4.4.2 Heterogeneity ya madhara ya matibabu
4.4.3 Taratibu
4.5 Maamuzi hivyo kutokea
4.5.1 Tu kufanya hivyo mwenyewe
4.5.1.1 mazingira Matumizi zilizopo
4.5.1.2 Kujenga majaribio yako mwenyewe
4.5.1.3 Kujenga bidhaa yako mwenyewe
4.5.2 Partner kwa nguvu
4.6 ushauri
4.6.1 Kujenga zero data kutofautiana gharama
4.6.2 Nafasi, Refine, na Kupunguza
4.7 Hitimisho
Ufundi appendix
ufafanuzi zaidi
shughuli
5 Misa ushirikiano
5.1 Kuanzishwa
5.2 Human hesabu
5.2.1 Galaxy Zoo
5.2.2 Crowd-coding ya ilani ya kisiasa
5.2.3 Hitimisho
5.3 wito Open
5.3.1 Netflix Tuzo
5.3.2 Foldit
5.3.3 Peer-to-Patent
5.3.4 Hitimisho
5.4 mkusanyiko Kusambazwa data
5.4.1 eBird
5.4.2 PhotoCity
5.4.3 Hitimisho
5.5 Kubuni yako mwenyewe
5.5.1 kuhamasisha washiriki
5.5.2 kujiinua heterogeneity
5.5.3 Focus makini
5.5.4 Kuwezesha mshangao
5.5.5 Kuwa kimaadili
5.5.6 Mwisho kubuni ushauri
5.6 Hitimisho
ufafanuzi zaidi
shughuli
6 Maadili
6.1 Kuanzishwa
6.2 Tatu mifano
6.2.1 Emotional Contagion
6.2.2 Taste, Mahusiano, na wakati
6.2.3 Encore
6.3 Digital ni tofauti
6.4 Nne kanuni
6.4.1 Respect kwa Watu
6.4.2 Rehema
6.4.3 Haki
6.4.4 Kuheshimu Sheria na maslahi ya umma
6.5 Mbili mifumo ya kimaadili
6.6 Maeneo ya ugumu
6.6.1 Ridhaa
6.6.2 Uelewa na kusimamia habari hatari
6.6.3 ya faragha
6.6.4 Maamuzi maamuzi katika uso wa uhakika
6.7 Vitendo vidokezo
6.7.1 IRB ni sakafu, si dari
6.7.2 Kuweka mwenyewe katika viatu kila mtu mwingine
6.7.3 Fikiria maadili ya utafiti kama kuendelea, si Diskret
6.8 Hitimisho
historia appendix
ufafanuzi zaidi
shughuli
7 siku zijazo
7.1 Kuangalia foward
7.2 Mandhari ya baadaye
7.2.1 blending ya Readymades na Custommades
7.2.2 mkusanyiko Mshiriki-unaozingatia data
7.2.3 Maadili katika kubuni utafiti
7.3 Nyuma ya mwanzo
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2.3.2
Sifa ambayo kwa ujumla mbaya kwa ajili ya utafiti
2.3.2.1 haujakamilika
2.3.2.2 Inaccessible
2.3.2.3 Non-mwakilishi
2.3.2.4 Drifting
2.3.2.5 algorithmically kuhangaika
2.3.2.6 Dirty
2.3.2.7 Sensitive
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