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Petr Lupač, Ph.D. 
Jan Sládek, M.A. 
Department of Sociology 
Faculty of Arts 
Charles University in Prague 
The Czech Republic
 2005-2008 project “WIP – Czech Republic” 
◦ Assoc. Prof. David Šmahel, Ph.D. 
◦ Funded by Ministry of Education 
◦ Masaryk University, Brno 
 2013-2015 project “WIP – the Czech Republic II” 
◦ Petr Lupac,Ph.D., Jan Sladek, M.A. 
◦ Charles University in Prague 
◦ Funded by the Czech grant agency 
◦ Survey in 2014, CAPI, representative for the CZR 
 2016... ? 
◦ Private funding?
 Pilot study in May 
 Data collected in May and June 2014 by a specialized agency 
 Method of data collection 
◦ CAPI F2F interviews 
◦ Stratified random sampling combined with quota sampling 
◦ Measures taken to include parts of the population with lower probability of being 
interviewed 
 Respondents declaring no or very low interest in being interviewed pre-recruited from CAWI 
panel (cca 8 % of the sample) 
 Trained experienced interviewers instructed to deal with soft-rejection 
 Financial incentives (computed or estimated from wage) 
 100 % of the interviews were recorded, controlled and problematic respondents were excluded 
 1316 respondents in the final sample 
 Weighted sample representative for the population of the Czech Republic, 
age 15+ 
 A good fit of results with other data sources (WIP I, CZSO, Facebook)
Problem: We do not know the share of non-questioned busy people in a 
general population -> four steps to balance the sample 
I. Weighting 92% of the sample (that was not pre-recruited) to fit the 
sociodemographic structure of the Czech population 
II. Finding the relations between sociodemographics and Internet use/nonuse 
as well as the “pure” percentage of Internet users 
III. Resulting Internet use added as a fixing variable to the weighting procedure 
IV. Weighting the whole sample by the following auxiliary variables 
 Region (14 categories – NUTS3) 
 Size of municipality (5 categories) 
 Gender (2 categories) 
 Age (6 categories) 
 Education (4 categories) 
 Age x education (30 categories) 
 Employment status (6 categories) 
 Attended 2013 elections (2 categories) 
◦ 5 iterations, weighting range: 0,5 – 2,0
 WIP Core Questions 
 Digital skills 
◦ Operational, information, [strategic] 
 Social capital 
◦ proxy use, binding, bridging, network, structural holes, sociability 
 Cultural capital 
◦ Emerging, high-brow, reading books, active foreign language use 
 Political capital and behavior 
 Innovativeness 
 Internet indispensability 
 Time online weekly 
 Preference of online communication 
 Experience with the Internet use/nonuse affecting quality 
of life in 11 dimensions
Czech Republic, Population 18+ 
??? 
???
Experienced Newcomers 
At home 10 (13; 12) 5 (10; 13) 
At work 8 (12; 12) 3 (4; 4) 
Elsewehere 2 (3; 5) 2 (2; 2) 
On the move 2 (5; 8) 2 (8; 12) 
Total 29 (52; 40) 25 (20; 17) 
Median (mean; std. dev) 
Age group 30-44 - > 5 (13;16) 
+ Women -> 10(18; 17)
 Coming mostly from 
◦ Older age groups 
◦ With lower education 
◦ Women 
 There are almost twice as much people mostly 
using tablet or mobile for Inet connection among 
newcomers 
 Spend less time online in general BUT on the 
move, female newcomers who are 30-44 years 
old beat all other age groups
65 % of nonusers do not know anyone (relative or 
acquaintance) who could help them set up or solve 
technical problem with Internet connection 
30 % of nonusers do not know anyone who could 
order something for them via the Internet 
28 % of nonusers do not know anyone who could 
send an email, fill an online form or find something 
online for them 
31 % of nonusers asked someone to do so at least 
several times
Having proxy No proxy 
Age 66 (63; 13) 73 (73; 14) 
Nr of people living 
in the household 2 (2,03; 12) 1 (1,63; 4) 
Ind. income/month 2/17 (2; 3) 2/17 (2; 2) 
Nr of close friends 3 (4; 3) 1 (2; 3) 
Share of soc. 
environment using 
the Internet 
30 % (40 %; 30 %) 0 % (20 %; 30 %) 
Life satisfaction 2/10 (3; 3) 4/10 (4; 3) 
Median (mean; std. dev)
Q: Not-using the Internet can be both 
advantage and disadvantage. When you think 
about your personal experience in the last 
years, how much does the fact that you are not 
using the Internet affected your life in the 
following areas? Please, answer with the help of 
a scale: 
{interviewers instructed to explain the Q if needed} 
-5 0 +5 
significant worsening - no change - significant improvement
 Your knowledgeability of what's going on in the Czech 
republic 
 Your understanding of what's going on in other 
countries 
 Your understanding of what's going on in your locality 
 Your involvement in public life in your local community 
 Dealing with state authorities {getting subsidy, welfare, 
submitting documents, etc.} 
 Contact with your family and your family life 
 Contact with your friends and acquiantences 
 Building up your career and your success on labor 
market 
 Your overall financial situation (incl. shopping and 
selling things) 
 Pursue and develop your hobbies 
 Your overall satisfaction with your life
 Voting activity 
◦ Frequent elections in CZR (2010, 2012, 2013x2, 2014x2) 
◦ Declining participation, yet municipal rather high 
◦ No. 1 reason for non-voting: Disinterest in politics (45% of 
nonvoters), no. 2: Not know who to vote (17%) 
 Expressing ideas 
◦ 10-20% admit fear of expressing their political ideas 
online, more than half is okay with others expressing 
extreme ideas 
 Social contacts 
◦ ¼ states that an active politician is amongst their close 
relatives or friends, ½ discusses politics
 1/3 never looked for local info, 1/3 does so 
rarely, 1/3 regurarly on weekly basis 
 87% never used the ICT to contact local 
politicians (x direct democracy)
 3 % Engaged in online volunteer campaigning 
 10 % Emailed family and friend to convince 
them 
 10 % Expressed their preferrence online 
 25 % factchecked politicians 
 10 % checked the party campaign expenses 
online 
 60 % stated no influence of online content on 
the decision to vote; the rest equally divided 
between positive/negative impact
 Turning information into action (passivity) 
 Internet is necessary yet not sufficient 
 No „dangerous“ barriers in political use of the 
Internet
Petr Lupač, Ph.D. Jan Sládek, M.A. 
PETR.LUPAC@GMAIL.COM SLADEK.JAN@GMAIL.COM 
@PetrLupac @JanSladek 
Department of Sociology 
Charles University in Prague, Faculty of Arts 
Celetna 13 
The Czech Republic

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World Internet Project Czech republic 2014 Preliminary data presentation

  • 1. Petr Lupač, Ph.D. Jan Sládek, M.A. Department of Sociology Faculty of Arts Charles University in Prague The Czech Republic
  • 2.  2005-2008 project “WIP – Czech Republic” ◦ Assoc. Prof. David Šmahel, Ph.D. ◦ Funded by Ministry of Education ◦ Masaryk University, Brno  2013-2015 project “WIP – the Czech Republic II” ◦ Petr Lupac,Ph.D., Jan Sladek, M.A. ◦ Charles University in Prague ◦ Funded by the Czech grant agency ◦ Survey in 2014, CAPI, representative for the CZR  2016... ? ◦ Private funding?
  • 3.  Pilot study in May  Data collected in May and June 2014 by a specialized agency  Method of data collection ◦ CAPI F2F interviews ◦ Stratified random sampling combined with quota sampling ◦ Measures taken to include parts of the population with lower probability of being interviewed  Respondents declaring no or very low interest in being interviewed pre-recruited from CAWI panel (cca 8 % of the sample)  Trained experienced interviewers instructed to deal with soft-rejection  Financial incentives (computed or estimated from wage)  100 % of the interviews were recorded, controlled and problematic respondents were excluded  1316 respondents in the final sample  Weighted sample representative for the population of the Czech Republic, age 15+  A good fit of results with other data sources (WIP I, CZSO, Facebook)
  • 4. Problem: We do not know the share of non-questioned busy people in a general population -> four steps to balance the sample I. Weighting 92% of the sample (that was not pre-recruited) to fit the sociodemographic structure of the Czech population II. Finding the relations between sociodemographics and Internet use/nonuse as well as the “pure” percentage of Internet users III. Resulting Internet use added as a fixing variable to the weighting procedure IV. Weighting the whole sample by the following auxiliary variables  Region (14 categories – NUTS3)  Size of municipality (5 categories)  Gender (2 categories)  Age (6 categories)  Education (4 categories)  Age x education (30 categories)  Employment status (6 categories)  Attended 2013 elections (2 categories) ◦ 5 iterations, weighting range: 0,5 – 2,0
  • 5.  WIP Core Questions  Digital skills ◦ Operational, information, [strategic]  Social capital ◦ proxy use, binding, bridging, network, structural holes, sociability  Cultural capital ◦ Emerging, high-brow, reading books, active foreign language use  Political capital and behavior  Innovativeness  Internet indispensability  Time online weekly  Preference of online communication  Experience with the Internet use/nonuse affecting quality of life in 11 dimensions
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  • 11. Experienced Newcomers At home 10 (13; 12) 5 (10; 13) At work 8 (12; 12) 3 (4; 4) Elsewehere 2 (3; 5) 2 (2; 2) On the move 2 (5; 8) 2 (8; 12) Total 29 (52; 40) 25 (20; 17) Median (mean; std. dev) Age group 30-44 - > 5 (13;16) + Women -> 10(18; 17)
  • 12.  Coming mostly from ◦ Older age groups ◦ With lower education ◦ Women  There are almost twice as much people mostly using tablet or mobile for Inet connection among newcomers  Spend less time online in general BUT on the move, female newcomers who are 30-44 years old beat all other age groups
  • 13. 65 % of nonusers do not know anyone (relative or acquaintance) who could help them set up or solve technical problem with Internet connection 30 % of nonusers do not know anyone who could order something for them via the Internet 28 % of nonusers do not know anyone who could send an email, fill an online form or find something online for them 31 % of nonusers asked someone to do so at least several times
  • 14. Having proxy No proxy Age 66 (63; 13) 73 (73; 14) Nr of people living in the household 2 (2,03; 12) 1 (1,63; 4) Ind. income/month 2/17 (2; 3) 2/17 (2; 2) Nr of close friends 3 (4; 3) 1 (2; 3) Share of soc. environment using the Internet 30 % (40 %; 30 %) 0 % (20 %; 30 %) Life satisfaction 2/10 (3; 3) 4/10 (4; 3) Median (mean; std. dev)
  • 15. Q: Not-using the Internet can be both advantage and disadvantage. When you think about your personal experience in the last years, how much does the fact that you are not using the Internet affected your life in the following areas? Please, answer with the help of a scale: {interviewers instructed to explain the Q if needed} -5 0 +5 significant worsening - no change - significant improvement
  • 16.  Your knowledgeability of what's going on in the Czech republic  Your understanding of what's going on in other countries  Your understanding of what's going on in your locality  Your involvement in public life in your local community  Dealing with state authorities {getting subsidy, welfare, submitting documents, etc.}  Contact with your family and your family life  Contact with your friends and acquiantences  Building up your career and your success on labor market  Your overall financial situation (incl. shopping and selling things)  Pursue and develop your hobbies  Your overall satisfaction with your life
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  • 19.  Voting activity ◦ Frequent elections in CZR (2010, 2012, 2013x2, 2014x2) ◦ Declining participation, yet municipal rather high ◦ No. 1 reason for non-voting: Disinterest in politics (45% of nonvoters), no. 2: Not know who to vote (17%)  Expressing ideas ◦ 10-20% admit fear of expressing their political ideas online, more than half is okay with others expressing extreme ideas  Social contacts ◦ ¼ states that an active politician is amongst their close relatives or friends, ½ discusses politics
  • 20.
  • 21.  1/3 never looked for local info, 1/3 does so rarely, 1/3 regurarly on weekly basis  87% never used the ICT to contact local politicians (x direct democracy)
  • 22.
  • 23.  3 % Engaged in online volunteer campaigning  10 % Emailed family and friend to convince them  10 % Expressed their preferrence online  25 % factchecked politicians  10 % checked the party campaign expenses online  60 % stated no influence of online content on the decision to vote; the rest equally divided between positive/negative impact
  • 24.  Turning information into action (passivity)  Internet is necessary yet not sufficient  No „dangerous“ barriers in political use of the Internet
  • 25. Petr Lupač, Ph.D. Jan Sládek, M.A. PETR.LUPAC@GMAIL.COM SLADEK.JAN@GMAIL.COM @PetrLupac @JanSladek Department of Sociology Charles University in Prague, Faculty of Arts Celetna 13 The Czech Republic

Editor's Notes

  1. Does the user know he/she is a user? DK, RF in any way => asking about using the Internet at home, work… and then correcting it Result> no difference
  2. Czech Statistical Office, part of the EUROSTAT, declares 76 % in 2013 in population 16-74. 25 % First, who are these people and are they somehow special compared to the “old users” Second, who are those still not
  3. A throwaway of money when not having the same amount of questions focused on the nonusers Hard-core nonusers
  4. Age – some younger than 50