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Bit By Bit
: Social Research in the Digital Age
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Àkọsọ
1 Ọrọ Iṣaaju
1.1 An inki abawọn
1.2 Kaabo si oni ori
1.3 Research design
1.4 Awọn akori yi iwe
1.5 Itọsọna ti iwe yii
Kini lati ka nigbamii
2 wíwo ihuwasi
2.1 Iṣaaju
2.2 Big data
2.3 Awọn aami wọpọ mẹwa ti data nla
2.3.1 Ńlá
2.3.2 Nigbagbogbo
2.3.3 ipa
2.3.4 Ko pari
2.3.5 Taaṣeyọ
2.3.6 Nonrepresentative
2.3.7 Drifting
2.3.8 Algorithmically confounded
2.3.9
2.3.10
2.4 Research ogbon
2.4.1 kika ohun
2.4.2 asọtẹlẹ ati nowcasting
2.4.3 Approximating adanwo
2.5 Ipari
Awọn akọsilẹ iwe-iwe
Kini lati ka nigbamii
akitiyan
3 béèrè ibeere
3.1 Iṣaaju
3.2 Beere nipa wiwo
3.3 Awọn lapapọ iwadi aṣiṣe ilana
3.3.1 oniduro
3.3.2 Measurement
3.3.3 Iye
3.4 Tani lati beere
3.5 New ona ti béèrè ìbéèrè
3.5.1 Ecological momentary igbelewọn
3.5.2 Wiki iwadi
3.5.3 Gamification
3.6 Awọn iwadi ti a sopọ mọ awọn orisun data nla
3.6.1 béèrè
3.6.2 beere
3.7 Ipari
Awọn akọsilẹ iwe-iwe
Kini lati ka nigbamii
akitiyan
4 yen adanwo
4.1 Iṣaaju
4.2 Ki ni adanwo?
4.3 meji mefa ti adanwo: lab-oko ati afọwọṣe-oni
4.4 Gbigbe kọja rọrun adanwo
4.4.1 Wiwulo
4.4.2 mu agbara pọ si ti itọju ipa
4.4.3 sise
4.5 Ṣiṣe o ṣẹlẹ
4.5.1 Lo awọn agbegbe ti o wa tẹlẹ
4.5.2 Kọ idaduro ara rẹ
4.5.3 Kọ ọja ti ara rẹ
4.5.4 Ẹnìkejì pẹlu awọn alagbara
4.6 Advice
4.6.1 Ṣẹda odo ayípadà iye owo data
4.6.2 Kọ iwa ẹkọ sinu apẹrẹ rẹ: rọpo, ṣe atunṣe, ati dinku
4.7 Ipari
Awọn akọsilẹ iwe-iwe
Kini lati ka nigbamii
akitiyan
5 Ṣiṣẹda ajọṣepọ
5.1 Iṣaaju
5.2 Human iṣiro
5.2.1 Galaxy Zoo
5.2.2 Crowd-ifaminsi ti oselu manifestos
5.2.3 Ipari
5.3 Open awọn ipe
5.3.1 Netflix Prize
5.3.2 Foldit
5.3.3 Ẹlẹgbẹ-si-itọsi
5.3.4 Ipari
5.4 Pin data gbigba
5.4.1 eBird
5.4.2 PhotoCity
5.4.3 Ipari
5.5 Nse ara rẹ
5.5.1 ru olukopa
5.5.2 idogba mu agbara pọ si
5.5.3 Idojukọ ifojusi
5.5.4 ṣiṣẹ iyalenu
5.5.5 Jẹ asa
5.5.6 Ik oniru imọran
5.6 Ipari
Kini lati ka nigbamii
akitiyan
6 ethics
6.1 Iṣaaju
6.2 Meta apeere
6.2.1 imolara Contagion
6.2.2 Awọn ounjẹ, Awọn ẹtan, ati Aago
6.2.3 Encore
6.3 Digital ti o yatọ si
6.4 Mẹrin agbekale
6.4.1 Ọwọ fun Eniyan
6.4.2 Beneficence
6.4.3 Justice
6.4.4 Ọwọ fun ofin ati Public Interest
6.5 Meji asa nílẹ
6.6 Areas ti isoro
6.6.1 fun èrò
6.6.2 Oye ki o si Ṣiṣakoṣo awọn iroyin eleko ewu
6.6.3 Asiri
6.6.4 Ṣiṣe ipinu ninu awọn oju ti aidaniloju
6.7 Practical awọn italolobo
6.7.1 The IRB ni a pakà, ko kan aja
6.7.2 Fi ara rẹ ni gbogbo eniyan miran ká bata
6.7.3 ro ti iwadi ethics bi lemọlemọfún, ko ọtọ
6.8 Ipari
itan ÀFIKÚN
Kini lati ka nigbamii
akitiyan
7 Awọn ojo iwaju
7.1 N reti
7.2 Awọn akori ti ojo iwaju
7.2.1 Ijọpọ awọn setan ati awọn aṣamadu
7.2.2 alabaṣe-ti dojukọ data gbigba
7.2.3 Ethics ni iwadi design
7.3 Back to ibẹrẹ
Acknowledgments
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Yi translation ti a da nipa kọmputa kan.
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4
yen adanwo
4.1 Iṣaaju
4.2 Ki ni adanwo?
4.3 meji mefa ti adanwo: lab-oko ati afọwọṣe-oni
4.4 Gbigbe kọja rọrun adanwo
4.4.1 Wiwulo
4.4.2 mu agbara pọ si ti itọju ipa
4.4.3 sise
4.5 Ṣiṣe o ṣẹlẹ
4.5.1 Lo awọn agbegbe ti o wa tẹlẹ
4.5.2 Kọ idaduro ara rẹ
4.5.3 Kọ ọja ti ara rẹ
4.5.4 Ẹnìkejì pẹlu awọn alagbara
4.6 Advice
4.6.1 Ṣẹda odo ayípadà iye owo data
4.6.2 Kọ iwa ẹkọ sinu apẹrẹ rẹ: rọpo, ṣe atunṣe, ati dinku
4.7 Ipari
Awọn akọsilẹ iwe-iwe
Kini lati ka nigbamii
akitiyan
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