the experience of using google map based sampling (slovaks in hungary – the enri-east project)
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The experience of using Google map based sampling (Slovaks in Hungary – the ENRI-EAST project). Endre Sik (TÁRKI) for the seminar organised by Eurofound (Dublin) October 2010. Interplay of European, National and Regional Identities. FP7-SSH, 2008-2011 - PowerPoint PPT PresentationTRANSCRIPT
The experience of using Google map based sampling
(Slovaks in Hungary – the ENRI-EAST project)
Endre Sik (TÁRKI)for the seminar organised by Eurofound (Dublin)
October 2010
Interplay of European, National and Regional Identities
FP7-SSH, 2008-2011
Partner teams from ten countries (Austria (leading partner IHS), Belarus, Germany, Hungary, Lithuania,
Poland, Russia, Slovakia, UK, Ukraine)
The location and rate of the Slovak national minority in
Hungary (% of the local population (Census 2001))
The list of the selected settlements and the main charateristics of the sample
SettlementTotal population
(N)Slovak
population (N)Density
(%)
Proportion in the sample (%,
N=400))
Number of
routes
Preferred sampling method
Pilisszentkereszt / Mlynky 2 170 1 185 55 16 7 RRS
Répáshuta / Répášska Huta 551 268 49 4 2 RRS
Piliscsév / Čív 2 314 1 059 46 15 6 RRS
Kardos 793 345 43 5 2 RRS
Sámsonháza / Šamšon 308 122 40 2 1 RRS
Örménykút 526 191 36 3 1 RRS
Felsőpetény / Horné Pet'any 766 274 36 4 2 RRS
Erdőkürt / Kirt' 611 185 30 2 1 RRS
Lucfalva / Lucina 615 163 26 2 1 RRS
Kétsoprony 1 559 413 26 6 2 RRS
Bükkszentkereszt 1 274 259 20 3 2 BRRS
Bánk 678 134 20 2 1 BRRS
Galgaguta 738 145 20 2 1 BRRS
Pilisszántó / Santov 2 120 416 20 6 2 BRRS
Tótkomlós / Slovenský Komlóš 6 547 1 159 18 16 7 BRRS
Tardos 1 629 255 15 2 2 BRRS
Galgagyörk 1 062 158 15 2 1 BRRS
Sárisáp 2 918 405 14 6 2 BRRS
Vanyarc / Veňarec 1 384 147 11 2 1 BRRS
Number of successful and failed interview attempts and the reasons of failour by sampling methods
snowballingrandom sampling
random routes boosted
Number of approached respondents (N=1231): 59 572 600
Number of valid questionnaires (N=407): 44 214 149
Number or refusals or failed interviews: 15 358 451
Reasons for refusals
(N and %)
n % N % n %
Person is not suitable for the sample 3 20 159 44 279 62
It is impossible to enter the building /to the flat 0 0 10 3 4 1
It is impossible to enter the building /to come to the flat 0 0 18 5 0 0
No one opens the door 0 0 42 12 2 0
The respondent is inaccessible 0 0 19 5 74 16
The respondent can not be interviewed because of his health 0 0 3 1 2 0
Incomplete/interrupted interview 0 0 0 0 0 0
The respondent refuses interviewing 1 7 71 20 43 10
The house is uninhabited /broken; an institution 11 73 64 18 19 4
Total 15 100 358 100 451 100
Response rate, % 75% 37% 25%
Sampling tree for Slovaks in Hungary (Designed by the IHS team, prepared by TÁRKI)
1231 Total NN of individual RS routes & SB chains
153Failed addresses (no screening)600
RRS: routes
572Boost.RRS: routes
59 Snowballing: chains
447Successful contacts (screening done)
Address is non-dwelling 64Dwelling not accessible after 3 attempts
89
Successful interviews: 214
Failed interviews: 233
Accepted for DB 214
Respnd. not eligible 162Refusal 71Interrupted interviews 0
Excl. from DB
0
Respnd. not eligible: 3Refusal: 1 Interrupted interviews: 0
Accepted for DB44Excl. from DB 0
Total NN of successful interviews in database 407
Respnd. not eligible: 281Refusal 43Interrupted interviews 0
Accepted for DB 149
Excl. from DB 0
Successful interviews: 149
Failed interviews: 324
Successful interviews: 44
Failed interviews: 4
Address is non-dwelling 19Dwelling not accessible after 3 attempts
80
99Failed addresses (no screening)
473Successful contacts (screening done)
48Successful contacts (screening done)
11Failed SB contacts (no screening)
The main charateristics of the pre- and post Google based TÁRKI Omnibus sample selection procedure*
Before Google map based sampling
After Google map based sampling
Source of the selection of random routes
Phone book or map Google map
Task of the selection of random routes (in general)
Local instructors (17 all around the country)
TÁRKI instructors
Basis of selection Fieldwork experience, local knowledge
Structure of the settlement (based on Google map)
Selection of multiple random route starting points (in big
cities)
TÁRKI instructor (two starting points per cities one in
downtown, one in the outskirt randomly selested – change
in every third month)
TÁRKI instructor ((two starting points per cities one
in downtown, one in the outskirt selected from
different Google map cells – change in every third month)
Central control over selection None CompleteProblems and solutions Interviewer route selection
bias (e.g. better pavement, more light, etc.) – no solution
More uncertainty in the course of selection (e.g.
uninhabited houses, etc.) – TÁRKI instructor provides
new starting point* On the basis of interviews with Éva Fáklya and Valéria Németh (TÁRKI instructors).