Bit By Bit: Social Research in the Digital Age
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  • Ịzụta akwụkwọ
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  • okwu mmalite
  • 1 Okwu Mmalite
    • 1.1 An ink ihichapụ
    • 1.2 Welcome to dijitalụ afọ
    • 1.3 Research imewe
    • 1.4 Gburugburu nke akwụkwọ a
      • 1.4.1 Readymades na Custommades
      • 1.4.2 Mfe n'elu complexity
      • 1.4.3 Ethics n'ebe nile
    • 1.5 ndepụta nke akwụkwọ
  • 2 Idebe ihe omume
    • 2.1 Okwu Mmalite
    • 2.2 Big data
    • 2.3 Common e ji mara nnukwu data
      • 2.3.1 Njirimara na bụ n'ozuzu mma maka nnyocha
        • 2.3.1.1 Big
        • 2.3.1.2 Always-on
        • 2.3.1.3 Non-reactive
      • 2.3.2 Njirimara na bụ n'ozuzu ọjọọ n'ihi na research
        • 2.3.2.1 -ezughị ezu
        • 2.3.2.2 keerughi
        • 2.3.2.3 Non-anọchite anya
        • 2.3.2.4 ịkpafu
        • 2.3.2.5 Algorithmically ihere
        • 2.3.2.6 unyi
        • 2.3.2.7 Mmetuta
    • 2.4 Research azum
      • 2.4.1 agụta ihe
        • 2.4.1.1 Tagzi na New York City
        • 2.4.1.2 Ịbụ Enyi guzobere n'etiti ụmụ akwụkwọ
        • 2.4.1.3 nnyocha nke mmadụ mgbasa ozi site Chinese ọchịchị
      • 2.4.2 ịkọ na nowcasting
      • 2.4.3 Approximating nwere
        • 2.4.3.1 Natural nwere
        • 2.4.3.2 kenha
    • 2.5 Mmechi
    • Nka na ụzụ odide ntụkwasị
    • Ọzọkwa nkọwa
    • eme
  • 3 Ịjụ ajụjụ
    • 3.1 Okwu Mmalite
    • 3.2 Ịjụ vs. edebe
    • 3.3 Mkpokọta nnyocha e mere njehie kpuchie
      • 3.3.1 onodi
      • 3.3.2 mmesho
      • 3.3.3 Cost
    • 3.4 Ònye ịjụ
      • 3.4.1 gbasara nke puru omume nlele: data collection na data analysis
      • 3.4.2 Non-puru omume samples: weighting
      • 3.4.3 Non-puru omume samples: sample kenha
    • 3.5 New ụzọ nke ịjụ ajụjụ
      • 3.5.1 ebe obibi nwa oge nnwale
      • 3.5.2 Wiki, nnyocha
      • 3.5.3 Gamification
    • 3.6 nnyocha ndị e mere jikọrọ ọzọ data
      • 3.6.1 Amplified arịọ
      • 3.6.2 enriched ajụ
    • 3.7 Mmechi
    • Nka na ụzụ odide ntụkwasị
    • Ọzọkwa nkọwa
    • eme
  • 4 agba nwere
    • 4.1 Okwu Mmalite
    • 4.2 Gịnị bụ nwere?
    • 4.3 abụọ akụkụ nke nnwale: lab-ubi na analọg-digital
    • 4.4 N'ịga n'ofè mfe nwere
      • 4.4.1 Ndaba
      • 4.4.2 Heterogeneity ọgwụgwọ mmetụta
      • 4.4.3 usoro
    • 4.5 Ime ka o mee
      • 4.5.1 Dị nnọọ na-eme ya onwe gị
        • 4.5.1.1 Iji ẹdude gburugburu
        • 4.5.1.2 Mee gị onwe gị na nnwale
        • 4.5.1.3 Mee gị onwe gị na ngwaahịa
      • 4.5.2 Onye Mmekọ ahụ dị ike na
    • 4.6 Ndụmọdụ
      • 4.6.1 Mepụta efu variable eri data
      • 4.6.2 Dochie, nụchaa, na Belata
    • 4.7 Mmechi
    • Nka na ụzụ odide ntụkwasị
    • Ọzọkwa nkọwa
    • eme
  • 5 Mass mmekota
    • 5.1 Okwu Mmalite
    • 5.2 Human mgbakọ
      • 5.2.1 Galaxy Zoo
      • 5.2.2 Otuowo-nzuzo nke ndọrọ ndọrọ ọchịchị manifestos
      • 5.2.3 Mmechi
    • 5.3 Open oku
      • 5.3.1 Netflix Nrite
      • 5.3.2 Foldit
      • 5.3.3 ọgbọ na-Patent
      • 5.3.4 Mmechi
    • 5.4 ekesa data collection
      • 5.4.1 eBird
      • 5.4.2 PhotoCity
      • 5.4.3 Mmechi
    • 5.5 emebe gị onwe gị
      • 5.5.1 ịkpali sonyere
      • 5.5.2 leverage heterogeneity
      • 5.5.3 Focus ntị
      • 5.5.4 Kwado na anya
      • 5.5.5 Nwee usoro ziri ezi
      • 5.5.6 Final imewe ndụmọdụ
    • 5.6 Mmechi
    • Ọzọkwa nkọwa
    • eme
  • 6 Ethics
    • 6.1 Okwu Mmalite
    • 6.2 atụ atọ
      • 6.2.1 mmetụta uche Contagion
      • 6.2.2 Ire, Ties, na Time
      • 6.2.3 encore
    • 6.3 Digital bụ dị iche iche
    • 6.4 anọ ụkpụrụ
      • 6.4.1 Nkwanye Ùgwù maka Persons
      • 6.4.2 Beneficence
      • 6.4.3 Justice
      • 6.4.4 Nkwanye Ùgwù maka Iwu na Public Interest
    • 6.5 abụọ usoro ziri ezi frameworks
    • 6.6 Areas isi ike
      • 6.6.1 ụbụrụ bụ
      • 6.6.2 Understanding na hapụụrụ informational ize ndụ
      • 6.6.3 Nzuzo
      • 6.6.4 na-eme mkpebi na ihu nke ejighị ihe n'aka
    • 6.7 Uru Atụmatụ
      • 6.7.1 The IRB bụ a n'ala, ọ bụghị a n'uko
      • 6.7.2 Tinye onwe gị na onye ọ bụla akpụkpọ ụkwụ
      • 6.7.3 Chee echiche nke nnyocha ụkpụrụ ọma dị ka na-aga n'ihu, ọ bụghị pụrụ iche
    • 6.8 Mmechi
    • Historical odide ntụkwasị
    • Ọzọkwa nkọwa
    • eme
  • 7 The n'ọdịnihu
    • 7.1 N'ileghachi foward
    • 7.2 Gburugburu nke ga-eme n'ọdịnihu
      • 7.2.1 The agakọ nke Readymades na Custommades
      • 7.2.2 soò na-eche nanị data collection
      • 7.2.3 Ethics na research imewe
    • 7.3 Back to mmalite
  • Nkweta
  • References
Nke a translation e kere site na kọmputa. ×
You are reading the Open Review Edition of Bit by Bit. Click here to read the 1st Edition.

3 Ịjụ ajụjụ

  • 3.1 Okwu Mmalite
  • 3.2 Ịjụ vs. edebe
  • 3.3 Mkpokọta nnyocha e mere njehie kpuchie
    • 3.3.1 onodi
    • 3.3.2 mmesho
    • 3.3.3 Cost
  • 3.4 Ònye ịjụ
    • 3.4.1 gbasara nke puru omume nlele: data collection na data analysis
    • 3.4.2 Non-puru omume samples: weighting
    • 3.4.3 Non-puru omume samples: sample kenha
  • 3.5 New ụzọ nke ịjụ ajụjụ
    • 3.5.1 ebe obibi nwa oge nnwale
    • 3.5.2 Wiki, nnyocha
    • 3.5.3 Gamification
  • 3.6 nnyocha ndị e mere jikọrọ ọzọ data
    • 3.6.1 Amplified arịọ
    • 3.6.2 enriched ajụ
  • 3.7 Mmechi
  • Nka na ụzụ odide ntụkwasị
  • Ọzọkwa nkọwa
  • eme

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