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Bit By Bit
: Social Research in the Digital Age
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gabatarwa
1 Gabatarwa
1.1 An tawada shafe
1.2 Barka da zuwa dijital shekaru
1.3 Research zane
1.4 Jigogi na wannan littafin
1.5 Bayani na wannan littafin
Abinda za a karanta a gaba
2 Yin hali
2.1 Gabatarwa
2.2 Big data
2.3 Nau'in halaye goma na babban bayanai
2.3.1 Big
2.3.2 Kullum-kan
2.3.3 Ba da amfani ba
2.3.4 Ba a cika ba
2.3.5 za a iya ba
2.3.6 Bayani mai mahimmanci
2.3.7 Drifting
2.3.8 Algorithmically kunya
2.3.9 Dirty
2.3.10 hankali
2.4 Research dabarun
2.4.1 kirgawa abubuwa
2.4.2 kiyasin da nowcasting
2.4.3 Approximating gwajen
2.5 Kammalawa
Bayanan lissafi
Abinda za a karanta a gaba
Ayyukan
3 tambayoyi
3.1 Gabatarwa
3.2 Neman kusurwa
3.3 A total binciken kuskure tsarin
3.3.1 wakilci
3.3.2 Ji
3.3.3 Cost
3.4 Wanda ya tambayi
3.5 New hanyoyin tambayoyi
3.5.1 Muhalli yanzu-yanzu kimomi
3.5.2 Wiki safiyo
3.5.3 Gamification
3.6 Binciken da aka hade da manyan bayanai
3.6.1
3.6.2
3.7 Kammalawa
Bayanan lissafi
Abinda za a karanta a gaba
Ayyukan
4 Gudun gwajen
4.1 Gabatarwa
4.2 Mene ne gwajen?
4.3 Biyu girma da gwaje-gwajen: Lab-filin da kuma analog-digital
4.4 Motsi bayan sauki gwajen
4.4.1 tushe
4.4.2 Heterogeneity magani effects
4.4.3 Sassan
4.5 Yin ya faru
4.5.1 Yi amfani da yanayin da ake ciki
4.5.2 Gina gwajin ka
4.5.3 Gina samfur naka
4.5.4 Abokin hulɗa tare da mai iko
4.6 Advice
4.6.1 Create sifili m kudin data
4.6.2 Gina zane a cikin zane: maye gurbin, tsaftacewa, da ragewa
4.7 Kammalawa
Bayanan lissafi
Abinda za a karanta a gaba
Ayyukan
5 Samar da haɗin gizon
5.1 Gabatarwa
5.2 Human ƙidãyar
5.2.1 Galaxy Zoo
5.2.2 Taro-coding siyasa manifestos
5.2.3 Kammalawa
5.3 Open kira
5.3.1 Netflix Prize
5.3.2 Foldit
5.3.3 Peer-to-Patent
5.3.4 Kammalawa
5.4 Rarraba data tarin
5.4.1 eBird
5.4.2 PhotoCity
5.4.3 Kammalawa
5.5 Zayyana your own
5.5.1 tilasta mahalarta
5.5.2 yin amfani heterogeneity
5.5.3 Focus hankali
5.5.4 Enable mamaki
5.5.5 kasance mai da'a
5.5.6 Final zane shawara
5.6 Kammalawa
Abinda za a karanta a gaba
Ayyukan
6 Ethics
6.1 Gabatarwa
6.2 Three misalai
6.2.1 Wani tunanin Contagion
6.2.2 Gwajiyoyi, Yanki, da Lokaci
6.2.3 Encore
6.3 Digital ne daban-daban
6.4 Four ka'idodin
6.4.1 Mutunta Mutanen
6.4.2 karimci
6.4.3 Justice
6.4.4 Mutunta Attaura da Public Interest
6.5 Biyu da'a frameworks
6.6 Areas na wahala
6.6.1 sanar yarda
6.6.2 hankali da kuma Manajan bayani hadarin
6.6.3 Privacy
6.6.4 Making yanke shawara a fuskar rashin tabbas
6.7 Practical tips
6.7.1 The IRB ne mai bene, ba rufi
6.7.2 sa kanka a cikin kowa da kowa kuma ta takalma
6.7.3 yi tunanin bincike xa'a kamar yadda ci gaba da, ba hankali
6.8 Kammalawa
Historical appendix
Abinda za a karanta a gaba
Ayyukan
7 A nan gaba
7.1 Bugawa
7.2 Jigogi na nan gaba
7.2.1 Shirye-shirye na shirye-shirye da custommades
7.2.2 mahalarta-tsakiya data tarin
7.2.3 Ethics a gudanar da bincike zane
7.3 Back to farkon
Acknowledgments
References
Wannan translation aka halitta da kwamfuta.
×
2
Yin hali
2.1 Gabatarwa
2.2 Big data
2.3 Nau'in halaye goma na babban bayanai
2.3.1 Big
2.3.2 Kullum-kan
2.3.3 Ba da amfani ba
2.3.4 Ba a cika ba
2.3.5 za a iya ba
2.3.6 Bayani mai mahimmanci
2.3.7 Drifting
2.3.8 Algorithmically kunya
2.3.9 Dirty
2.3.10 hankali
2.4 Research dabarun
2.4.1 kirgawa abubuwa
2.4.2 kiyasin da nowcasting
2.4.3 Approximating gwajen
2.5 Kammalawa
Bayanan lissafi
Abinda za a karanta a gaba
Ayyukan
×
×
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