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
    • 1.5 Kutoka kwa kitabu hiki
    • Nini kusoma ijayo
  • 2 Kuchunguza tabia
    • 2.1 Kuanzishwa
    • 2.2 data Big
    • 2.3 Kumi sifa za kawaida za data kubwa
      • 2.3.1 Kubwa
      • 2.3.2 Daima
      • 2.3.3
      • 2.3.4 haijakamilika
      • 2.3.5 haipatikani
      • 2.3.6 Wasiokuwa wawakilishi
      • 2.3.7 drifting
      • 2.3.8 Algorithmically confounded
      • 2.3.9 chafu
      • 2.3.10 Sensitive
    • 2.4 mikakati Utafiti
      • 2.4.1 Kuhesabu mambo
      • 2.4.2 Utabiri na nowcasting
      • 2.4.3 approximating majaribio
    • 2.5 Hitimisho
    • Maelezo ya hisabati
    • Nini kusoma ijayo
    • shughuli
  • 3 Kuuliza maswali
    • 3.1 Kuanzishwa
    • 3.2 Kuomba dhidi ya kuchunguza
    • 3.3 jumla makosa utafiti mfumo
      • 3.3.1 Uwakilishi
      • 3.3.2 Vipimo
      • 3.3.3 Gharama
    • 3.4 Nani kuuliza
    • 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 unaohusishwa na vyanzo vya data kubwa
      • 3.6.1 Kuboresha kuuliza
      • 3.6.2 kuuliza kwa maneno
    • 3.7 Hitimisho
    • Maelezo ya hisabati
    • Nini kusoma ijayo
    • 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 Matumizi mazingira yaliyopo
      • 4.5.2 Kujenga jaribio lako mwenyewe
      • 4.5.3 Kujenga bidhaa yako mwenyewe
      • 4.5.4 Mshirikishi na wenye nguvu
    • 4.6 ushauri
      • 4.6.1 Kujenga zero data kutofautiana gharama
      • 4.6.2 Kujenga maadili katika kubuni yako: kuchukua nafasi, kusafisha, na kupunguza
    • 4.7 Hitimisho
    • Maelezo ya hisabati
    • Nini kusoma ijayo
    • shughuli
  • 5 Kujenga ushirikiano wa wingi
    • 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
    • Nini kusoma ijayo
    • shughuli
  • 6 Maadili
    • 6.1 Kuanzishwa
    • 6.2 Tatu mifano
      • 6.2.1 Emotional Contagion
      • 6.2.2 Ladha, mahusiano, na muda
      • 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
    • Nini kusoma ijayo
    • shughuli
  • 7 siku zijazo
    • 7.1 Kuangalia mbele
    • 7.2 Mandhari ya siku zijazo
      • 7.2.1 Mchanganyiko wa tayari na mashujaa
      • 7.2.2 mkusanyiko Mshiriki-unaozingatia data
      • 7.2.3 Maadili katika kubuni utafiti
    • 7.3 Nyuma ya mwanzo
  • Shukrani
  • marejeo
tafsiri hii iliundwa na kompyuta. ×

7 siku zijazo

  • 7.1 Kuangalia mbele
  • 7.2 Mandhari ya siku zijazo
    • 7.2.1 Mchanganyiko wa tayari na mashujaa
    • 7.2.2 mkusanyiko Mshiriki-unaozingatia data
    • 7.2.3 Maadili katika kubuni utafiti
  • 7.3 Nyuma ya mwanzo

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