National Technical Summary 2002
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A1 Key persons and institutions
Name and address of field work A1.1 Data collector
organisation
Name: DEMOSCOPIA
Plaza Carlos Trías Bertrán 7, planta 4ª - Edificio Sollube (28020 Madrid)
A1.2 Depositor
Name of the person who
provided the data to the
archive.
!
National Coordinator ✔
Survey Organisation
!
Name: Mariano Torcal Loriente
A2 Funding
Full name of the country’s
funding agency or agencies.
The grant number(s) connected
to the funding agency or
agencies.
A2.1 Funding agency (agencies)
1. Ministerio de Ciencia y Tecnología (Spanish Ministry of Science and Technology)
2. Departament d'Universitats, Recerca i Societat de la Informació de la Generalitat de Catalunya
A2.2 Grant number(s)
1. SEC2001-5034 E ; 2. ACES02
A3 The collection of data
Field work period (DD/MM/YY).
A3.1 Date of collection
From: 19/11/02
Mode of data collection, main
questionnaire
To: 10/01/2003
A3.2 Mode of data collection, main questionnaire.
•
Computer assisted personal interview, CAPI
•
Paper and pencil interview, PAPI
If PAPI used, please specify
how the data were transferred
to an electronic format
o
Data keyed from questionnaire
o
Data optically scanned from questionnaire
The language or languages in
which the survey was
conducted.
A3.3 Language(s)
!
✔
!
✔
!
!
Spanish and Catalan language
A3.4 Fieldwork procedures
A3.4.1 Interviewer selection
Experienced interviewers: have
previously done one or more
interviewing projects
Inexperienced interviewers:
interviewers with no previous
interviewing experience
•
Total number of interviewers:
168
•
Number of experienced
interviewers:
168
•
Number of inexperienced
interviewers:
0
A3.4.2 Briefing of interviewers
Did the interviewers receive
training in refusal conversion,
either as part of ESS specific
personal briefings or otherwise?
•
Number of ESS specific personal briefings per
interviewer:
•
Total length of ESS specific personal briefing(s) per
interviewer:
o
½ day or less
o
½-1 day
o
more than 1 day
2
!
✔
!
!
•
Number of interviewers who received ESS specific
personal briefing:
•
Training in refusal conversion:
Yes
•
Written ESS specific instructions:
Yes
1
168
!
✔
!
!
No!
No ✔
The period in which the pretest
interviews were held.
(DD/MM/YY)
A3.4.3 Pretest
From:
09/09/2002
16/09/2002
To:
100
Number of pretest interviews:
A3.4.4 Payment of interviewers
Please indicate what type(s) of
payment(s) the interviewers
received
Please indicate the number of
minimum required visits as well
as any specification on when
they were to take place
NB! A3.4.5b only for countries
qualified for first contact by
telephone
•
Hourly rate
•
Per completed interview
•
Bonus arrangement
!
✔
!
!
A3.4.5a Call schedules, visits
•
Number of minimum required visits per respondent:
4
•
Number of visits (per respondent) required to be on a weekend:
1
•
Number of visits (per respondent) required to be in the evening:
1
A3.4.5b Call schedules, telephone
•
Number of minimum required calls per respondent:
0
•
Number of calls (per respondent) required to be on a weekend:
0
•
Number of calls (per respondent) required to be in the evening:
0
A3.4.6 Use of advance letter
!
Yes !
!
✔
No !
Yes ✔
No
Was there used any printed
information material such as a
brochure or a pamphlet?
A3.4.7 Use of brochure
Respondent incentives such as
money, gifts or other incentives.
If yes, please give a short
description of the type(s) of
incentive(s).
A3.4.8 Use of respondent incentives (money, gifts, other
incentives).
Were there any specific
strategies for refusal
conversion? Please give a
short description
!
Yes ✔
No
If yes, please specify:
One t-shirt and cap per respondent.
A3.4.9 Strategies for refusal conversion
Yes
!
!
No ✔
If yes, please describe:
A3.5 Control operations
Please report the number of
selected quality back-checks
for each of the listed outcome
groups.
A3.5.1 Number of sample units selected for quality back-checks:
•
Number of realised
interviews:
748
•
Number of refusals:
95
•
Number of non-contacts:
80
A3.5.2 Outcome of attempted back-checks
For achieved back-checks,
please report number of
confirmed and non confirmed
fieldwork outcomes
•
Please indicate number of
back-checks that could not be
accomplished.
•
Back-checks achieved:
o
Outcome from fieldwork confirmed. Number:
685
o
Outcome from fieldwork not confirmed. Number:
30
Back-checks not achieved:
o
Outcome from fieldwork not possible to verify. Number:
2
208
!
Please indicate how the backchecks were conducted.
A3.5.3 Type(s) of control back-checks
•
Personal
•
Telephone
•
Post-card
•
Self completion questionnaire
!
✔
!
!
!
A3.6 Checking of data
A3.6.1 Checking of respondents’ ID numbers
Are respondents’ ID numbers
unique and consistent across
all files?
Please indicate which of the
standards have been checked
for out of range values and
wild codes
•
Checked for uniqueness
•
Respondents’ ID numbers consistent across all data
files
!
✔
Yes !
!
No !
Yes ✔
No
A3.6.2 Wild code checking and out of range checks
•
•
Standards
o
ISO 3166-1
o
ISO 639-2
o
NACE rev.1
o
ISCO88 (COM)
All other variables
!
✔
Yes !
✔
Yes !
✔
Yes !
✔
Yes !
!
No !
No !
No !
No !
Yes ✔
No
A3.6.3 Consistency checks
•
Logical consistency
!
Were data checked for logical coherence?
Yes ✔
No
!
If yes, were the data edited?
•
o
Yes - data corrected individually
o
Yes – data corrected automatically
o
Yes – both individual and automatic corrections
o
No – no corrections done
✔
!
!
!
!
Structural consistency
Were data checked for correct use of filter instructions?
!
Yes ✔
No
!
If yes, were the data edited?
If the data were edited, please
indicate if the filter instructions
always gave precedence.
If the keying or scanning of
the questionnaire was
verified, please give the
approximate proportion of the
questionnaires verified.
o
Yes - data corrected individually
o
Yes – data corrected automatically
o
Yes – both individual and automatic corrections
o
No – no corrections done
Were corrections always done according to filter instructions?
✔
!
!
!
!
Yes
!
!
No ✔
A3.6.4 Verification of optical scanning and keying of main questionnaire
If the data/questionnaires were scanned or keyed, was the scanning or keying verified?
Approximate proportion of the questionnaires verified :
3
100%
!
Yes ✔
No
!
A4 Characteristics of the sample
A4.1 Response and non response, main questionnaire
The final response rate will be Please report numbers not percentages
calculated according to
A) Total number of issued sample units (addresses, households or individuals)
“Annex II European Social
Survey (ESS) Specification for
B) Refusal by respondent
participating countries” (April
C) Refusal by proxy (or household or address refusal)
2001)
D) No contact (after at least 4 visits)
3,657
671
372
359
Address not residential (institution, business/industrial purpose)
21
F)
Address not occupied (not occupied, demolished, not yet built)
252
G)
Other ineligible address
65
H)
Respondent moved abroad
70
I)
Respondent deceased
0
J)
Respondent mentally or physically unable to co-operate throughout fieldwork period.
76
K)
Language barrier
16
L)
Respondent unavailable throughout the fieldwork period for other reasons
16
M)
Number of achieved interviews
X)
Number of sample units not accounted for (A-[Sum of B to M])
E)
1,729
To assist in checking of table
A4.1, X shows the difference
A-(Sum of B to M)
If all sample units are
accounted for, X will equal
zero.
If the supplementary
questionnaire was
administered as self
completion, please report the
number of returned and
completed questionnaires
10
A4.2 Response, supplementary questionnaire
Number of returned completed supplementary questionnaires:
1729
A4.3 Representativity 1
The population statistics
tables can be deposited as
one or several separate
electronic documents at the
Archive Web Site.
Please indicate here which
tables are/will be deposited.
The tables can be deposited
in one or several formats, like
Word tables, SPSS output
(spo), SAS output (lst)
Please indicate here which of the following population statistics are/will be made available:
1)
Age x gender, for the whole country
2)
Age x gender by region
3)
Highest obtained education (at least 4 levels), for the whole country
4)
Highest obtained education by region
5)
Degree of urbanisation, for the whole country
6)
Gender x age x education for the whole country
✔
!
✔
!
✔
!
✔
!
✔
!
✔
!
A4.4 Weighting
Describe the criteria for
using weights in analysis of
the data. If a weighting
formula or coefficient has
been developed, provide this
formula, define its elements
and indicate how the formula
or coefficient should be
applied to data.
Theoretically, the sample of households should be self-weighted because the selection of sections has been done
proportionally to the number of households in each section and the probability of selection of a household in a selected
section is inversely proportional to the number of households in it. In practice, the product of PROB1 and PROB2 is not
equal to 1. Unfortunately we do not know the details used by the INE for the calculation of these numbers. Nevertheless,
we are confident that the selection process of households has been correctly done. The selection probability of an
individual living in a selected household (PROB3) depends on the size of the household. Because the distribution of the
number of members by household in the population is not exactly the same than in the completed questionnaires of the
sample, it is needed to use individual weights when the analyst wants to infer the results of the sample analysis to the
4
A5 General documentation
Please list the categories in
the variable “Region” in the
dataset.
A5.1 Region
a) Anonymity ensured
Categories
!
For each of the categories
please indicate if the category
a)
b)
Yes to all ✔
ensures anonymity
of the respondents
1.
Galicia
Yes
2.
Principado de Asturias
Yes
Statistical inference
possible at regional
level
3.
Cantabria
Yes
4.
País Vasco
Yes
5.
Comunidad Foral de Navarra
Yes
6.
La Rioja
Yes
7.
Aragón
Yes
8.
Comunidad de Madrid
Yes
9.
Please document the
correspondence between
each regional category and
the NUTS classification2
If not “Yes to all” in A5.1b,
please document how the
regional categories can be
grouped to produce
representative samples for
each regional unit.
Please provide a short
description of the national
categories and their bridge to
the ESS education standard
classification (modified
ISCED-97)
Castilla y León
Yes
10. Castilla-La Mancha
11. Extremadura
Yes
12. Cataluña
13. Comunidad Valenciana
Yes
14. Illes Balears
15. Andalucía
Yes
16. Región de Murcia
17. Canarias
Yes
18.
Yes
19.
Yes
20.
Yes
Yes
Yes
Yes
Yes
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
!
b) Statistical inference possible
Yes to all
!
!
!
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes !
Yes
Yes
Correspondence with NUTS
The 17 regional categories used in the survey have been coded according to NUTS Level 2 codes for Spain, the only
exception being CANARIAS, which is coded in the dataset as 70 instead of being coded as 7 (NUTS Level 2 code for the
Canary Islands).
Grouping of the regional categories (if not “Yes to all” in A5.1b)
In theory, all regional samples are represantive at the regional level, since these regional categories were used to stratify
the national population for the sample design. However, the number of individuals successfully interviewed is too small in
most regions as to provide a sufficiently representative sample for disaggregate statistical analyses at the regional level.
A5.2 Educational system
TRANSLATION OF SPANISH CLASSIFICATION = CORRESPONDING ESS STANDARD
1. No studies/illiterate and Not completed primary education = Not completed primary education
2. Primary education = Primary or first stage of basic
3. Degree of primary education = Lower secondary or second stage of basic
4. Vocational education (first cycle) and Secondary education = Upper secondary
5. Vocational education (second cycle) and 2 or 3 years higher education (not leading to a university degree) = Post
secondary, non-tertiary
6. Polytechnical studies (short cycle: technical architect or technical engineer -3 years university degree-), Other short
cycle university degree (3 years), Polytechnical studies (long cycle: architect, engineer -5 years university degree-), Other
long cycle university degree (5 years or more) and
Postgraduate degree = First stage of tertiary
7. Doctoral degree = Second stage of tertiary
5
A5.3 Occupation
Please indicate how the
ISCO88 (com) was derived.
A) Please provide a short
description of each political
party in the data set.
1.
First coded to a national classification based on ISCO
and then bridged to match the ISCO88 (com)
!
2.
First coded to a national classification and then
bridged to match the ISCO88 (com)
!
3.
No previous coding, occupation coded directly into the
4-digit ISCO88 (com)
✔
!
A5.4 Political parties
a) Political parties
- Partido Popular (PP): Incumbent party at national level. Its ideology is centre-right/conservative.
- Partido Socialista Obrero Español (PSOE): The main party in the opposition at the national level. It's a centre-left/Social
Democratic party.
- Izquierda Unida (IU): The second party in the opposition at the national level. It's located to the left of the PSOE.
Radical-left ideology.
- Convergència i Unió (CiU): Incumbent party in the regional government of Catalonia. It is a nationalist and centre-right
party.
- Esquerra Repubicana de Catalunya (ERC): The third party in Catalonia. It's nationalist left-wing party.
- Iniciativa per Catalunya-Verds (ICV): The fourth party of Catalonia. It's a left-wing ecosocialist coalition.
- Partido Nacionalista Vasco (PNV): Incumbent party in the regional government of the Basque Country (main party of the
regional governing coalition). It is a nationalist and centre-right/conservative party.
- Eusko Alkartasuna (EA): Incumbent party in the regional government of the Basque Country (second party of the
regional governing coalition). Social Democratic ideology.
b) Left right position of the political parties
If relevant, please indicate
the left right position of the
political parties in relation to
each other.
Please indicate the electoral
system for the primary
legislative assembly at the
national level
1. Nation-wide parties (left - right):
IU - PSOE - PP
2. Non nation-wide parties (left - right), nation-wide within brackets to help locate the whole spectrum:
2.1. Catalonia:
(IU) - ICV - ERC - (PSOE) - CiU - (PP)
2.2. Basque Country:
(IU) - EA - (PSOE) - PNV - (PP)
A5.5 Electoral system
•
Only one single vote registered
•
Two or more votes registered
o
More than one vote for the
same assembly (e.g. parallel
and mixed member
proportional systems; double
ballot systems.)
o
Preferential systems (e.g.
single transferable vote or
alternative vote)
✔
!
!
!
!
A6 Electronic documents to be delivered (see section B1 in the Data Protocol)
Please indicate which of the
following electronic
documents are/will be
deposited along with this
form at the ESS Archive Web
Site
✔
!
✔
!
✔
!
✔
!
A6.1 Questionnaires
A6.2 Show cards
A6.3 Written information to respondents
A6.4 Interviewer instructions
6
1
A4.3 Representativity
Please provide population statistics at the country and regional levels as indicated in the table below. Please report numbers not
percentages.
Distributions / tables
Age x gender
Highest obtained education (at least 4 levels)
Country
•
•
Degree of urbanisation (if possible)
Gender x age x education
•
•
Recommended categories for “age”: 15-24, 35-34, 35-44, 45-54, 55-64, 65-74, 75 and older.
Region: Use the same categories as the region variable in the data set.
2
NUTS: http://europa.eu.int/comm/eurostat/ramon/nuts/codelist_en.cfm
7
Region
•
•
(if
possible)