VARIABLE Reports 2016|12 International Social Survey Programme VARIABLE Reports 2016|12 International Social Survey Programme ISSP 2012 - Family and Changing Gender Roles IV Variable

2016|12VARIABLE Reports

International Social Survey Programme

ISSP 2012 - Family and Changing Gender Roles IV

Variable Report

Documentation release 2016/11/23

Related to the international datasetArchive-Study-No. ZA5900 Version 4.0.0, doi: 10.4232/1.12661

GESIS Data Archive for the Social Sciences

GESIS-Variable Reports No. 2016/12

ISSP 2012 FamiIy and Changing Gender Roles IV Variable Report Documentation release 2016/11/23

Related to the international dataset Archive-Study-No. ZA5900 Version 4.0.0, doi: 10.4232/1.12661

GESIS Data Archive for the Social Sciences

GESIS-Variable Reports GESIS Leibniz Institute for the Social Sciences 50667 Kln Unter Sachsenhausen 6-8 Germany E-Mail: [email protected] ISSN 2190-6742 (Online) Publisher: GESIS Leibniz Institute for the Social Sciences Unter Sachsenhausen 6-8, 50667 Kln [email protected], www.gesis.org

Principal investigator/ authoring entity: National Program Directors of the participating countries Responsible for ISSP data integration in the GESIS Data Archive for the Social Sciences: Irene Mller Petra Brien Responsible for the preparation of this variable report: Petra Brien Kerstin Beck

GESIS Variable Report 2016/12

Introduction and preliminary remarks

The GESIS Variable Report Series on the International Social Survey Programme Studies offers a

comprehensive description of data on study and variable level. For each annual module as well as for the

cumulated data sets individual Variable Reports are provided.

The reports are structured into six chapters:

Chapter one gives a brief overview of the worldwide ISSP project as a whole.

Chapter two provides the description of the respective ISSP study including bibliographic information, abstract

and methodological specifications.

Chapter three contains information on study related survey materials which are absolutely essential to

understand the data properly, followed by general information about the structure of ISSP data sets,

documentation standards and variable coding frames in chapter four.

Chapter five provides a short explanation of the variable documentation itself.

Chapter six contains the core variable documentation: the documentation of each variable including complete

question texts with all answer categories of the Basic Questionnaire enriched with archival remarks. In addition,

this Variable Report presents cross tabulations over countries for all substantial and most of the demographic

variables. Archive, protocol and country specific variables are usually shown by descriptive statistics or frequency

distributions. All cross tabulations, descriptive statistics and frequency distributions are based on unweighted

data.

The appendix usually contains two sorts of survey materials: the Study Descriptions and, if available, the

Characteristics of National Population, basic statistics for all the participating countries of the corresponding

module. The data for the annual ISSP modules are collected by independent institutions in each country. The

country data is integrated into one international data file, which is documented, distributed and long-term

archived by the ISSP Archive, institutionally, the GESIS Data Archive for the Social Sciences (Leibniz Institute for

the Social Sciences) in Cologne, Germany (http://www.gesis.org). In every second year from 1997 on, data and

documentation have predominantly been prepared by our partners at JDS/ ASEP in Spain

(http://www.jdsurvey.com).

Data access

Data for statistical analysis along with information about this data such as version history and errata are made

available by the Data Catalogue (https://dbk.gesis.org/dbksearch/).

The Data Online Platform ZACAT of GESIS (http://zacat.gesis.org) provides data documentations and additionally

enables users to analyse data online.

Access to the Data Catalogue and ZACAT is free of charge, download of data sets requires registration.

Anonymised data

According to data regulations in participating countries, only anonymised data are made available. Each national

team is responsible for carefully checking the data in this respect before the deposit.

Usage requirements

To provide funding agencies with essential information about the use of archival resources and to facilitate the

exchange of information about related research activities, all users of ISSP data are requested to send

bibliographic citations for each completed manuscript or thesis abstracts to [email protected] or if possible,

please directly send a copy of the publication to GESIS (GESIS-Leibniz-Institute for the Social Sciences, Dept.

Data Archive - ISSP, Unter Sachsenhausen 6-8, D-50667 Cologne, Germany). Please also observe the general

notes on the usage regulations of GESIS Data Archive.

https://dbk.gesis.org/dbksearch/?db=dhttp://zacat.gesis.org/http://www.gesis.org/fileadmin/upload/dienstleistung/daten/umfragedaten/_bgordnung_bestellen/Usage_regulations.pdf

II ISSP 2012 Family and Changing Gender Roles IV

Disclaimer

Neither the original collector of the data, nor GESIS or JDS/ ASEP bears any responsibility for the use of ISSP data

or any data analyses.

Citation of this Variable Report Please, use the following citation for this Variable Report: GESIS, ed. 2016. ISSP 2012 - Family and Changing Gender Roles IV, Variable Report: Documentation release 2016/11/23, related to the international dataset Archive-Study-No. ZA5900 Version 4.0.0, Variable Reports 2016|12. Cologne: GESIS.

Request

Please, alert us to any errors or problems that you might notice in the data or the documentation. All comments

and remarks are very much appreciated to enhance the quality of the data: [email protected]

GESIS Variable Report 2016/12 III

1 ISSP Series Description

1.1 Series name

The International Social Survey Programme (ISSP)

1.2 Series information

The ISSP is a cross-national collaboration programme, which has been continuously conducting annual surveys

on diverse social science topics since 1985. The topics for each ISSP survey are proposed by delegates from ISSP

member countries. Then, a Basic Questionnaire is composed and improved over several years by a committee,

elected by the General Assembly before it is pretested in various countries. Starting in 1984 with four founding

nations - Australia, Germany, Great Britain and the United States, the ISSP meanwhile has grown up to almost 50

member countries covering various cultures around the globe.

ISSP Modules 1985 - 2018:

- Citizenship: 2004/ 2014 - Environment: 1993/ 2000/ 2010 - Family and Changing Gender Roles: 1988/ 1994/ 2002/ 2012 - Health and Health Care: 2011 - Leisure Time and Sports: 2007 - National Identity: 1995/ 2003/ 2013 - Religion: 1991/ 1998/ 2008/ 2018 - Role of Government: 1985/ 1990/ 1996/ 2006/ 2016 - Social Inequality: 1987/ 1992/ 1999/ 2009 - Social Networks: 1986/ 2001/ 2017 - Work Orientations: 1989/ 1997/ 2005/ 2015

All ISSP members agree

1. to jointly develop modules addressing important areas of social science,

2. to field the modules either as an individual survey or as supplements to the regular national surveys and

3. to make the data available to the social science community as quickly as possible.

As the surveys are designed for replication they offer both cross-national and cross-time comparison, creating

the base for a vast range of substantive and methodological research. Since there is no external fund agency,

ISSP members fund their own surveys. Beyond that, ISSP committee members fund ISSP central coordination,

networking, development of source questionnaires, or methodological work.

For more information on the ISSP in general, its working principles, contact addresses of ISSP members and

principal investigators, please visit the ISSP web site (http://www.issp.org).

IV ISSP 2012 Family and Changing Gender Roles IV

2 Study Description International Social Survey Programme 2012

2.1 Bibliographic information

2.1.1 Archive study number

GESIS: ZA5900

2.1.2 Title

International Social Survey Programme: Family and Changing Gender Roles IV - ISSP 2012

2.1.3 Authoring Entity/ Principal Investigators

Name Affiliation

Jorat, Jorge R. Instituto Gino Germani, Universidad de Buenos Aires, and CONICET (Consejo Nacional de Investigaciones Cientficas y Tcnicas)

Evans, Ann The Australian National University, Canberra, Australia

Hllinger, Franz Institute of Sociology, University of Graz, Austria

Carleton University Survey Centre, Ottawa, Canada

Dimova, Lilia Agency for Social Analyses (ASA), Bulgaria

Li, Lulu The National Survey Research Center, Renmin University of China, Beijing, China

Segovia, Carolina Centro de Estudios Pblicos, Chile

Hamplov, Dana Institute of Sociology, Academy of Sciences of the Czech Republic, Prague, Czech Republic

Dinka Institute for Social Research, Zagreb, Croatia

Lund Clement, Sanne Department of Economics, Politics and Public Administration, Aalborg University, Denmark

Andersen, Johannes Department of Economics, Politics and Public Administration, Aalborg University, Denmark

Larsen, Christian A. Department of Economics, Politics and Public Administration, Aalborg University, Denmark

Andersen, Jrgen G. Department of Economics, Politics and Public Administration, Aalborg University, Denmark

Fridberg, Torben The Danish National Institute of Social Research, Copenhagen, Denmark

Blom, Raimo University of Tampere, Finland

Melin, Harri University of Tampere, Finland

Lemel, Yannick France-ISSP, France

Fors, Michel France-ISSP, France

Wolf, Christof GESIS, Germany

Park, Alison National Centre for Social Research (NatCen), London, Great Britain

Clery, Liz National Centre for Social Research (NatCen), London, Great Britain

Gumundsdttir, Hrefna

Social Science Research Institute University of Iceland, Reykjavk, Iceland

Bjrnsdttir, gsta E. Social Science Research Institute, University of Iceland, Reykjavk, Iceland

Deshmukh, Yashwant CVoter News Services Pvt. Ltd, India

Cleary, Anne University College Dublin, Dublin, Ireland

Lewin-Epstein, Noah B.I. and Lucille Cohen, Institute for public opinion research, Tel Aviv, Israel

Murata, Hiroko NHK, Broadcasting Culture Research Institute Public Opinion Research Division, Tokio, Japan

Kobayashi, Toshiyuki NHK, Broadcasting Culture Research Institute Public Opinion Research Division, Tokio, Japan

GESIS Variable Report 2016/12 V

Sang-Wook, Kim Department of Sociology, Sungkyunkwan University, Seoul, Korea

Tabuns, Aivars Institute of Philosophy and Sociology, University of Latvia, Latvia Advanced Social and Political Research Institute, University of Latvia

Policy and Public Administration Institute, Kaunas University of technology, Lithuania

Ceballos, Vanessa Institute of Marketing and Opinion, Mexico

Morones, Csar Institute of Marketing and Opinion, Mexico

Palacios, Felipe Institute of Marketing and Opinion, Mexico

Moran, Mauricio Institute of Marketing and Opinion, Mexico

Kolsrud, Kirstine Norwegian Social Science Data Services (NSD), Bergen, Norway

Skjk, Knut K. Norwegian Social Science Data Services (NSD), Bergen, Norway

Guerrero, Linda Social Weather Stations, Quezon City, Philippines

Zielinski, Marcin W. Institute for Social Studies, Warsaw University (ISS UW), Poland

Vala, Jorge Instituto de Cincias Sociais, University of Lisbon, Portugal

Ramos, Alice Instituto de Cincias Sociais, University of Lisbon, Portugal

Khakhulina, Ludmilla Levada Center, Moscow, Russia

Bahna, Miloslav Institute for Sociology of the Slovak Academy of Sciences, Slovakia

Hafner-Fink, Mitja Public Opinion and Mass Communication Research Centre (CJMMK), University of Ljubljana

Tos, Niko Public Opinion and Mass Communication Research Centre, Ljubljana, Slovenia

Struwig, Jare Human Sciences Research Council (HSRC), Pretoria, South Africa

Mndez, Mnica Center of Sociological Research (CIS), Madrid, Spain

Garca-Pardo, Natalia Center of Sociological Research (CIS), Madrid, Spain

Edlund, Jonas Department of Sociology, Umea University, Sweden

Joye, Dominique FORS swiss foundation for research in social sciences, c/o University of Lausanne, Switzerland

Sapin, Marlne FORS swiss foundation for research in social sciences, c/o University of Lausanne, Switzerland

Chang, Ying-hwa Institute of Sociology, Academia Sinica, Taiwan

Istanbul Policy Center, Sabanci University, Istanbul, Turkey

Istanbul Policy Center, Sabanci University, Istanbul, Turkey

Smith, Tom W. National Opinion Research Center (NORC), Chicago, USA

Marsden, Peter V. Harvard University, Cambridge, USA

Hout, Michael New York University, New York, USA

Briceo Len, Roberto LACSO (Laboratorio de Ciencias Sociales), Caracas, Venezuela

vila, Olga LACSO (Laboratorio de Ciencias Sociales), Caracas, Venezuela

Camardiel, Alberto LACSO (Laboratorio de Ciencias Sociales), Caracas, Venezuela

2.1.4 Bibliographic citation

Publications based on ISSP data, which are made available through GESIS, should acknowledge those sources by

means of bibliographic citations. To ensure that such source attributions are captured for social science

bibliographic utilities, citations should appear in footnotes or in the reference section of publications.

How to cite the data: ISSP Research Group (2016): International Social Survey Programme: Family and Changing

Gender Roles IV - ISSP 2012. GESIS Data Archive, Cologne. ZA5900 Data file Version 4.0.0, doi: 10.4232/1.12661

VI ISSP 2012 Family and Changing Gender Roles IV

2.2 Content

2.2.1 Abstract

Family and Changing Gender Roles.

2.2.2 Topic classification

Topics: attitude towards employment of mothers; role distribution of man and woman in occupation and

household; preferred extent of employment for women during different stages of child raising; attitudes towards

marriage, cohabitation without marriage, and divorce; attitudes towards single-parenting and childcare by same

sex female and male couples (alternative family forms); ideal number of children for a family; attitudes towards

children: views on the significance of children in life; gender, care and social policy: attitude towards paid leave

for full-time working parents and preferred duration of paid leave; source of finance for paid leave; preferred

division of this paid leave period between mother and father; best way of organization of family and work life

for a family with a child under school age and the least desirable option; principal payers for childcare for

children under school age (family itself, government or public funds or employers); family or institutions that

should primarily provide support for the elderly; principal payer for this help to elderly people; time budget for

housekeeping and looking after family members for both partners; management of income in marriage or

partnership; allocation of duties in the household and in family matters; estimation of fair share of the

household work; decision making within partnership in weekend activities and in matters of child raising;

principal earner (partner with higher income); frequency of stress caused by family, work and household duties;

estimation of general personal happiness; satisfaction with employment situation and family life; assessment of

personal health; employment of mother during childhood of respondent; employment of respondent and

spouse/partner in various phases of child raising.

Demography: sex; age; year of birth; years in school; education (country specific); highest completed degree;

work status; hours worked weekly; employment relationship; number of employees; supervision of employees;

number of supervised employees; type of organization: for-profit vs. non-profit and public vs. private;

occupation (ISCO-88); main employment status; living in steady partnership; union membership; religious

affiliation or denomination (country specific); groups of religious denominations; attendance of religious

services; top-bottom self-placement; vote in last general election; country specific party voted in last general

election; party voted (left-right); ethnicity (country specific); number of children; number of toddlers; size of

household; earnings of respondent (country specific); family income (country specific); marital status; place of

living: urban rural; region (country specific).

Information about spouse and about partner on: work status; hours worked weekly; employment relationship:

supervises other employees, occupation (ISCO-88); main employment status; education and age of current

spouse/partner; duration of current relationship.

Additionally encoded: date of interview; case substitution flag; mode of data collection; weight.

2.3 Geographic coverage

Argentina (AR); Australia (AU); Austria (AT); Bulgaria (BG); Canada (CA); Chile (CL); China (CN); Croatia (HR);

Czech Republic (CZ); Denmark (DK); Finland (FI); France (FR); Germany (DE); Great Britain (GB-GBN); Iceland (IS);

India (IN); Ireland (IE); Israel (IL); Japan (JP); Korea, Republic of (KR); Latvia (LV); Lithuania (LT); Mexico (MX);

Norway (NO); Philippines (PH); Poland (PL); Portugal (PT); Russian Federation (RU); Slovakia (SK); Slovenia (SI);

South Africa (ZA); Spain (ES); Sweden (SE); Switzerland (CH); Taiwan (TW); Turkey (TR); United States (US);

Venezuela, Bolivarian Republic of (VE)

GESIS Variable Report 2016/12 VII

2.4 Universe

18 years old and older (exceptions: Finland, Iceland, Japan, South Africa and Venezuela)

2.5 Sampling procedure

Sampling procedures differ for the individual countries: partly simple, partly multi-stage stratified random

samples

2.6 Fieldwork and sample sizes

Table: Participating countries (regions) and fieldwork information for ISSP 2012 Country (Region) ISO Fieldwork start/ end Fieldwork Institute Questionnaire-

versions

Sample Size (n

of cases)

Argentina AR 06 Oct 12 29 Jul 13 Instituto Gino Germani,

Universidad de Buenos

Aires, Argentina

AR12 977

Australia AU 21 May 12 12 Jun 13 Academic Surveys

Australia, Australia

AU12 1612

Austria AT 09 Nov 13 20 Dec 13 IFES, Vienna, Austria AT12 1182

Bulgaria BG 16 Aug 11 20 Sep 11 ESI Center, Bulgaria BG12 1003

Canada CA 15 Nov 13 31 Mar 14 Carleton University

Survey Centre, Ottawa,

Canada

CA12-en

CA12-fr

972

Chile CL 30 Mar 12 25 Apr 12 ICCOM, Chile CL12 1564

China CN 15 Jun 12 01 Oct 12 The National Survey

Research Center,

Renmin University of

China, Beijing, China

CN12 5946

Croatia HR 12 Oct 13 10 Nov 13 GFK market research,

Zagreb, Croatia

HR12 1000

Czech Republic CZ 24 Feb 12 30 Mar 12 MEDIAN research age,

Czech Republic

CZ12 1804

Denmark DK 08 Jan 13 01 Mar 13 Rambll Denmark A/S,

Copenhagen, Denmark

DK12 1473

Finland FI 21 Sep 12 07 Dec 12 Statistics Finland,

Helsinki, Finland

FI12-fi

FI12-se

1171

France FR Apr 12 Sep 12 France-ISSP, France FR12 2409

Germany DE 23 Apr 12 30 Sep 12 TNS Infratest, Munich,

Germany

DE12 1766

VIII ISSP 2012 Family and Changing Gender Roles IV

Great Britain GB-

GBN

30 Jun 12 07 Nov 12 National Centre for

Social Research

(NatCen), London,

Great Britain

GB12 950

Iceland IS 30 Jun 13 21 Mar 14 Social Science Research

Institute University of

Iceland, Reykjavk,

Iceland

IS12 1172

India IN 24 Mar 14 10 Apr 14 CVoter News Services

Pvt. Ltd., India

IN12-as

IN12-bn

IN12-gu

IN12-hi

IN12-kn

IN12-ml

IN12-mr

IN12-or

IN12-ta

IN12-te

1660

Ireland IE 21 Dec 12 20 May 13 SSRC (Social Science

Research Centre),

Dublin, Ireland

IE12 1215

Israel IL 19 Nov 11 26 Apr 12 B.I. and Lucille Cohen

institute, Tel Aviv, Israel

IL12-ar

IL12-he

IL12-ru

1220

Japan JP 24 Nov 12 02 Dec 12 Central Research

Services, Inc., Japan

JP12 1212

Latvia LV 16 Apr 13 12 May 13 Institute of Sociological

Research, Latvia

LV12-lv

LV12-ru

1000

Lithuania LT 12 Jan 13 05 Feb 13 BALTIC SURVEYS Ltd.,

Lithuania

LT12 1187

Mexico MX 23 Jul 13 19 Aug 13 Instituto de

Mercadotecnia y

Opinin (IMO), Mexico

MX12 1527

Norway NO 24 Oct 12 30 Dec 12 TNS Gallup (contact

and paper

questionnaire

administration) and

NSD (web

questionnaire

administration),

Norway

NO12 1444

Philippines PH 29 Nov 12 03 Dec 12 Social Weather

Stations, Quezon City,

Philippines

PH12-bik

PH12-ceb

PH12-fil

PH12-hil

PH12-ilo

PH12-mdh

PH12-war

1200

GESIS Variable Report 2016/12 IX

Poland PL 13 Apr 13 25 Apr 13 Public Opinion

Research Center

(CBOS), Warsaw, Poland

PL12 1115

Portugal PT 29 Jun 14 31 Jan 15 TNS Portugal, Lisbon, Portugal

PT12 1001

Russia RU 01 Jun 12 16 Jun 12 Levada Center,

Moscow, Russia

RU12 1525

Slovenia SI 29 Mar 12 28 May 12 Public Opinion and

Mass Communication

Research Centre

(CJMMK), University of

Ljubljana, Slovenia

SI12 1034

Slovakia SK 25 Oct 12 10 Dec 12 TNS Slovakia,

Bratislava, Slovakia

SK12 1128

South Africa ZA 20 Sep 12 30 Jan 13 Human Sciences

Research Council

(HSRC), Pretoria, South

Africa

ZA12-af

ZA12-en

ZA12-tn

ZA12-ts

ZA12-xh

ZA12-zu

2547

South Korea KR 23 Jun 12 31 Aug 12 Survey Research Center

at Sungkyunkwan

University, Seoul, Korea

KR12 2547

Spain ES 15 Apr 12 25 Jun 12 Center of Sociological

Research (CIS), Spain

ES12 2595

Sweden SE 05 Mar 12 11 May 12 SIFO, Sweden SE12 1060

Switzerland CH 12 Feb 13 30 Jul 13 M.I.S. Trend SA, Institut

de recherches sociales

et conomiques,

Lausanne, Switzerland

CH12 1237

Taiwan TW 15 Jul 12 14 Oct 12 Center for Survey

Research, RCHSS,

Academia Sinica,

Taiwan

TW12 2072

Turkey TR 02 Feb 13 07 Apr 13 Infakto Research

Workshop, Istanbul,

Turkey

TR12 1620

United States US 19 Mar 12 05 Sep 12 National Opinion

Research Center

(NORC), USA

US12 1302

Venezuela VE 01 Jun 13 15 Jun 13 Instituto DELPHOS,

Caracas, Venezuela

VE12 997

Total Sample Size 16 Aug 11 31 Jan 15 61754

X ISSP 2012 Family and Changing Gender Roles IV

2.7 Mode of data collection

Mode of interview differs for the individual countries: partly face-to-face interviews (partly CAPI) with

standardized questionnaire, partly paper and pencil and postal survey and partly web survey

3 Corresponding survey material

When dealing with international comparative data, data sets and documentation must be seen as two sides of

the same coin. Even though ISSP members make huge efforts to produce comparable data in each country, there

still remains a remarkable amount of country specific peculiarities in the contributions to the final, international

data set. These country specific peculiarities either have to be harmonised or to be documented, as they provide

vital information for secondary analysts. Therefore, a set of procedures has been developed to take care for

orderly technical preparation of national data sets and to allow for the systematic collection of required context

information.

All corresponding survey materials are provided in English, only the national questionnaires are available in the

national language(s) of each country.

3.1 Basic Questionnaire

The ISSP General Assembly concludes the design phase of an ISSP module after intensive discussions on the single

items of the Basic Questionnaire roughly a year before the module is fielded. Two third of the module questions

have to be replications from previous ISSP modules of the same subject. According to this, one third of the

questions in each module are new. Subsequent to the mandatory module questions, some pre-selected optional

questions can be added. Finally, ISSP member countries translate the British English Basic Questionnaire to their

local language as equivalent as possible.

Drafting group for the Basic Questionnaire on the Family and Changing Gender Roles Module 2012:

China

Germany: Michael Braun, Regina Jutz, Evi Scholz (Convenor)

Ireland

Mexico

Sweden: Jonas Edlund, Ida un (Convenor)

Turkey

and one expert from Israel

3.2 Background Variables Standards and Documentation

Apart from the Basic Questionnaire, covering the substantial module variables, countries also have to collect

responses on a defined set of ISSP Standard Background Variables, which predominantly contains demographic

information. Since the ISSP often runs with larger national surveys, the background variables are mainly taken

from these surveys. Thus, demographic issues cannot be asked in a fixed form over all members of the ISSP. They

have to meet the demands of the national studies first. As a result, the demographic variables for the ISSP need

to be post-harmonised according to a developed set of common standards.

Over the past 30 years, there have been different Background Variable Standards:

The first set of background variables was established in 1985 with the first ISSP survey. Here countries agreed on

collecting the same demographic information. This list of variables underwent a revision in 2001, now providing a

coding frame for each background variable. It was valid until 2009.

GESIS Variable Report 2016/12 XI

In 2010 a new revision process of the ISSP Background Variables, planned for a three years period, started.

Beginning with the ISSP module 2010, this first revised version of the ISSP Background Variable Standard

concentrating mainly on variables containing work, occupational and partnership status information came into

effect. The second round of revisions, coming into effect in 2011, had its focus on the education variables, while

the last change is going to be made on the variable measuring ethnicity, effective with the module 2013. The

new standard is documented in some guidelines (different documents indicating the intermediate steps of

revision), providing detailed information and instructions on the variables measurement goals, coding frames,

filters and possible question texts. Additionally, the question texts are summarised in a Master Questionnaire on

Background Variables.

Since 2004 countries document the post-harmonisation processes for each variable in a special documentation

template provided by the Archive. This template, always adjusted to the current standard, offers detailed country

specific information on administration, derivation, and coding of the ISSP Background Variables.

All relevant background variable documents are available from the ISSP webpages at GESIS.

3.3 National Study Description

For each country, the original National Study Description is available in the appendix of this Variable Report. The

National Study Descriptions are provided by the countries and include information on sample sizes, field dates,

modes of data collection, sampling procedures, response rates and weighting processes.

3.4 Characteristics of National Population

The appendix of this Variable Report also includes Characteristics of National Populations for all participating

countries from 1989 on. These documents provide statistical data on the composition of national populations in

terms of gender, age, education and employment rates and, therefore, allow assessing how representative

national samples are.

3.5 Where to find the survey materials and the data set of the ISSP Module of 2012

Family and Changing Gender Roles IV

In the GESIS Data Catalogue on the GESIS web you find

- the Basic Questionnaire of this module together with

- all country questionnaires in the respective local languages,

- the Codebook (Variable Report) with the National Study Descriptions and the Characteristics of National

Populations in its appendix

- detailed National Documentations on phrasing and coding of the Background Variables,

- the Study Monitoring Report

- the Report on Questionnaire Development and

- the integrated data file ZA5900_v4.0.0 for download

under the

https://dbk.gesis.org/dbksearch/SDESC2.asp?no=5900

Information on fixed errors and resolved problems for this and also former data set versions can be found under

.

https://dbk.gesis.org/dbksearch/SDESC2.asp?no=5900

XII ISSP 2012 Family and Changing Gender Roles IV

The GESIS online data portal ZACAT provides the documentation of this integrated data file and also further

study-related materials for download:

http://zacat.gesis.org/webview/index.jsp?object=http://zacat.gesis.org/obj/fStudy/ZA5900

Beyond this, ZACAT enables users to perform basic online analyses like frequency distributions, cross tabulations

or regressions.

http://zacat.gesis.org/webview/index.jsp?object=http://zacat.gesis.org/obj/fStudy/ZA5900

GESIS Variable Report 2016/12 XIII

4 Data set structure and standards

ISSP data sets are processed and documented by the Data Archive of GESIS and by ASEP/ JDS every second year

in accordance with agreed standards, which may differ in some details. Despite several changes in the

background variables, a certain standard has been established in the course of time.

In order to uniquely identify a data set, to each data set version a GESIS Study No., a Version No., and a Digital

Object Identifier (doi) is assigned. The doi is linked to the Study Description in the Data Catalogue

(https://dbk.gesis.org/dbksearch/index.asp). Metadata filled in the Study Description of ISSP 2012 data and

associated with a doi are provided to the registration agency for social science data (da|ra).

The doi: 10.4232/1.12661 is assigned to the ISSP 2012 (v4.0.0).

4.1 Data set structure

Usually, the ISSP data sets are structured as follows:

1. Archive and Identification Variables

Administrative variables are used for identifying data sets, respondents and countries (GESIS Data

Archive Study Number, Version Number, Respondent Number, Country Codes).

The GESIS Archive version variable includes the number of the data set and the respective release date,

composed as a string variable with three numbers:

- The major number is incremented when there are changes in the composition of the data set (e.g.

additional variables or cases).

- The minor or second number is incremented when significant errors have been fixed (e.g. coding

errors, misleading value labels).

- The third or revision number is incremented when minor bugs are fixed (e.g. spelling errors in variable

or value labels).

Country codes identify each case as belonging to one country. The country code variable, which was

used according to a scheme leaning on international automobile identification codes in the beginning

of the ISSP, was replaced by two country code variables based on the ISO Code 3166. One identifies

countries as a whole, the other one possible subsamples, such as East and West Germany. The cross

tabulations shown in this Variable Report are based on a third, alphanumerical country code variable,

which also identifies subsamples.

2. Substantial Variables

The substantial variables contain the mandatory module questions, often supplemented by optional

questions.

Variable labels provide keywords based on the question text; these keywords are applied consistently if

questions or question items are repeated over time. All substantial variables include the original

question number of the Basic Questionnaire in the variable labels.

(beginning with the archive variables).

3. ISSP Background Variables

In the earlier ISSP modules, all variables are numbered consecutively, beginning with the archive

variables and followed by substantial and background variables. The last variable of each data set,

https://dbk.gesis.org/dbksearch/index.asp

XIV ISSP 2012 Family and Changing Gender Roles IV

usually is the variable on weighting. Later on, the background variables start with V200 et seq..

Nowadays, these variable numbers are expressed by mnemonics .

4. Country Specific Variables

Variables, which cannot be harmonised for various reasons, are usually presented as country specific

variables. As a rule, variable names of country specific variables have country abbreviations as prefixes.

In some of the older ISSP studies, the principle of country specific variables is not used. Instead all

country specific information is integrated into one variable.

5. Protocol Variables

There are five protocol variables in the latest ISSP modules. indicates the mode of

replacement for an originally selected respondent who was not available. The variables

ormation on the dates and periods of fielding.

ISSP surveys prior to 2010 do not include the three DATE variables for indicating the fielding date and

ISSP surveys before 2007 do not contain the SUBSCASE variable.

6. Weight

There is no weight available for the international comparison on the ISSP across countries.

Please note that also country subsamples can be over- respectively underrepresented without any

weighting factor correcting for the imbalance. This fact has to be taken into account if these countries

in question are analysed as one unit.

4.1.1 Deviating data set structure in ZA5900

Within the bloc of substantial variables that relates to the module questions there are several additional variables

for Spain due to the fact that 4-point scales were used instead of 5-point scales (Q1, Q2, Q4, Q5 and Q7). The

Spanish questionnaire did not include the middle answer . This deviation

also applies to Hungary in Q5. Data thus obtained are not comparable to the rest of the countries.

4.2 Data preparation

On the basis of the Basic Questionnaire covering the substantial variables and the standard core set of

background variables the Archive provides a Standard Setup for each individual ISSP module, which defines the

variable and value labels for the integrated data file. All country data sets should be processed and prepared to

match the structure of the Standard Setup before the material is deposited to the GESIS Data Archive for

integration and archiving.

After conducting the national surveys, all collaborators are supposed to deposit their data at the GESIS Data

Archive, where all the deposited data sets are prepared, integrated and merged into one single international data

set, which is finally published.

During the data preparation process all national data sets are successively controlled for completeness, missing

and duplicate records, for wild codes and for formal consistency of response patterns and question routing.

Moreover, national derivation processes from source to target codes in the background variables are controlled.

Missing values, especially due to filter instructions are checked and recoded where necessary. Errors, which are

discovered during these procedures, are corrected or documented in cooperation with primary investigators.

Complete machine-readable DDI-XML (see chapter 4.5) compliant documentation is created for all ISSP data sets

by GESIS.

GESIS Variable Report 2016/12 XV

4.3 Coding frames

By general rule, the variables of the module questions adopt the coding frame as specified in the Basic

Questionnaire, except for multiple response questions.

not all of the respondents were asked. Also in the case of country specific variables, all the other countries are

coded NAP.

whatever reason.

4.3.1 Country specific answer categories

ISSP data include some questions (variables) which have country specific answer categories such as DEGREE,

(PARTY VOTED LAST ELECTION), REGION and SIZE

OF COMMUNITY (until ISSP 2009).

For country specific income variables with answer categories, the data is recoded to midpoints of the categories.

For occupation, official international occupation codes are used. While in the first years of the ISSP many

countries used country specific occupation codes, ISCO 1988 has been established as a standard over the years.

Starting with ISSP 2014, ISCO 2008 is used.

Recently additionally provided as country specific variables: RELIGION (since ISSP 2010), ETHNIC GROUP (since

ISSP 2013)

4.3.2 Missing values

In general, the missing values are standardised across ISSP modules. For all variables a set of missing values is

defined:

0: Not applicable (NAP), Not available (NAV)

nswer

4.4 Weighting

Please note, that there is no total weight usable for international comparison. While all ISSP data sets contain a

weighting variable, the weights in this variable do not incorporate a common weighting scheme that can be

applied to all countries of the same ISSP module.

In the Study Description and/ or in the Background Variables Documentation of each country you will find more

detailed information on the kind of weights that are used. You can see, whether

- a design weight

- weights to adjust for non-response bias or

- a combination of these both weights above or

- different weighting procedures

are applied. However, some countries dispense with weighting factors. If no weight is provided, the variable

the weighting factor is unequal 1.0 (but greater than 0).

XVI ISSP 2012 Family and Changing Gender Roles IV

It may be advisable to weight data to increase representativeness in certain cases. For ISSP data we strongly

recommend consulting the National Study Descriptions for information on the certain weighting factor

composition and maybe even the Characteristics of National Population for more context information. An initial

overview of the national weighting procedures is provided in this Variable Report in chapter 6.

4.5 International documentation standard

The variable documentation is set up in accordance with the international metadata specifications for the social

sciences, established by the Data Documentation Initiative . The Variable Reports are based on the XML

representation of DDI version 2. The documentation combines the exact wording and sequence of question

components (question text, interviewer instruction, response categories, etc.) from the Basic Questionnaire with

the variable description (variable name, values, and labels) of the data set. General remarks and comments

referring to a certain variable are defined as variable notes. Notes mostly include additional information on

country specific deviations from the ISSP standard, information about data problems or other specific

characteristics.

GESIS Variable Report 2016/12 XVII

5 Explanation of the variable documentation

The variable documentation part of this Variable Report describes each variable in the data file including all

relevant information for this variable such as the single question components or further notes and frequency

distributions. The variable documentation is set up by means of the GESIS Dataset Documentation Manager

(DSDM) and in accordance with international metadata standards (DDI-Codebook/XML).

In general, the following abbreviations are used to indicate countries or (sub-national) areas. As far as applicable,

the ISO 3166-1 alpha-2 country codes have been applied and coded accordingly in the alphanumeric sample

.

The example explained below shows the information that for a typical substantial variable appears in the variable documentation part of a Variable Report. Results are usually broken down by country or presented as frequency counts in the case of country specific variables. In the case of variables with long lists of coded values (e.g. ISCO/ SPISCO) results are not shown or, if appropriate, reflected by descriptive indicators such as mean or median (e.g.

AGE, country specific variables RINC and INC). The descriptive parameters mean and/ or median are sometimes

also presented despite the fact that an open answer

give an idea of the distribution of this variable across countries.

AR Argentina IS Iceland

AT Austria JP Japan

AU Australia KR South Korea

BG Bulgaria LT Lithuania

CA Canada LV Latvia

CH Switzerland MX Mexico

CL Chile NO Norway

CN China PH Philippines

CZ Czech Republic PL Poland

DE Germany PT Portugal

DK Denmark RU Russia

ES Spain SE Sweden

FI Finland SI Slovenia

FR France SK Slovakia

GB-GBN Great Britain TR Turkey

HR Croatia TW Taiwan

IE Ireland US United States

IL Israel VE Venezuela

IN India ZA South Africa

XVIII ISSP 2012 Family and Changing Gender Roles IV

The complete question and answer texts are taken from the final Basic Questionnaire as provided.

All deviations are documented in this Variable Report.

As there is neither an international weighting factor nor a national weighting factor which would be comparable

for all participating countries, all frequencies and tables are calculated from unweighted data.

Header with DIGITAL OBJECT IDENTIFIER (DOI) linked

to the Study Description in the GESIS Data

Catalogue.

VARIABLE NAME (serial number assigned by the

archive) and VARIABLE LABEL as defined in the data

set.

QUESTION NUMBER and full QUESTION TEXT from

the Basic Questionnaire, including interviewer

instructions, if applicable. The numbers or letters

that may appear together with the original question

number, reflect the item order (multiple item or

multiple response questions) or indicate if a question

was asked only in a single country (country

abbreviation).

CODE VALUES occurring in the data for this variable

and complete ANSWER TEXT from the Basic

Questionnaire. Abbreviations commonly used in the

answer), NAP (not applicable) and NAV (not

available).

DERIVATION information refers to the construction

principle of derived variables.

NOTE delineates additional explanatory text or

archive remarks on data processing and other issues

relevant for the understanding or application of the

variable.

CROSS-TABULATION: The absolute frequencies base on unweighted data. The relative frequencies (row percent) refer to the valid cases (n valid sum), i.e. the total number of cases (n sum) reduced by the number of cases defined as missing data (M). FREQUENCY COUNTS: For country specific variables relative frequencies are calculated in- and excluding missing data (M), i.e. percent on the basis of all cases (sum) and valid percent on basis of the valid cases.

DESCRIPTIVE PARAMETERS: For some interval-scaled variables descriptive parameters such as minimum, maximum, and (if appropriate) median and mean are given on the basis of the valid cases.

GESIS Variable Report 2016/12 XIX

6 Variable documentation

(see next page)

ISSP 2012 - Family and Changing Gender Roles IVGESIS Study No. 5900 (v4.0.0), http://dx.doi.org/10.4232/1.12661

page 1

Variable, Label

Question Text (Original Language)

V1 - GESIS Data Archive Study Number

GESIS Data Archive Study number ZA5900 for the ISSP 2012 on 'Family and Changing Gender Roles IV'.

Study number of the data set producer and archiving number

5900 GESIS Data Archive Study Number ZA5900

V1

Value Label Missing Count Percent Valid Percent

5900 GESIS Data Archive Study Number ZA5900

Sum

Valid Cases

61754

61754

61754

100.0

100.0

100.0

100.0


page 2

V2 - GESIS Archive Version

VERSION AND RELEASE DATE OF THE ARCHIVE DATA SET

Version and Release Date of the Archive Data Set

This variable identifies the GESIS archive version number of this data set and the corresponding release date, recorded as a string.

The version number is composed of a sequence of three numbers. The major number is incremented when there are changes in the

composition of the data set (e.g. additional variables or cases), the minor or second number is incremented when significant errors have been

fixed (e.g. coding errors, misleading value labels), and the third or revision number is incremented when minor bugs are fixed (e.g. spelling

errors in variable or value labels).

V2


4.0.0 (2016-11-23)

Sum

Valid Cases

61754

61754

61754

100.0

100.0

100.0

100.0


page 3

DOI - Digital Object Identifier

Digital Object Identifier (DOI)

This variable holds the Digital Object Identifier (DOI) for the data set at hand as registered via the DA|RA registration agency for economic

and social science data. Each data set version (see variable V2) has a unique persistent DOI.

For direct access to the complete archive dissemination package for this study, including new data set versions, the DOI needs to be

appended to the resolver service URL:

http://dx.doi.org/10.4232/1.12661

In terms of good scientific practice, the DOI is an important element for the correct citation of a data set.

DOI


doi:10.4232/1.12661

Sum

Valid Cases

61754

61754

61754

100.0

100.0

100.0

100.0


page 4

V3 - Country/ Sample ISO 3166 Code (see V4 for codes for whole nation states)

Country/ Sample (see V4 for codes for whole nation states).

All countries are coded in accordance with the ISO 3166-1-alpha-2 country code, if available. ISO 3166-2 is applied for the UK's subsample

Great Britain. To indicate the subsamples within the ISSP countries a five digit numeric code on the basis of ISO 3166 was constructed. The

first three-digits are based on the original ISO code (see V4) and indicate the country. The following two-digit numeric appendices (01, 02,

03) indicate the subsamples (see Belgium and Germany). For examining subsamples from Israel (Jewish/ Arab population) IL_REG can be

used as a flag variable.

PT: The Portuguese ISSP 2012 module was fielded (together with the ISSP 2013) in two rounds, the main sample including 898 interviews

and a complementary sample with 103 interviews. The ISSP Methodological Committee approved the sample resulting from pooling the two

rounds, which can still be separated using V3 as a FLAG variable. (More information see note).

32 AR-Argentina

36 AU-Australia

40 AT-Austria

100 BG-Bulgaria

124 CA-Canada

152 CL-Chile

156 CN-China

158 TW-Taiwan

191 HR-Croatia

203 CZ-Czech Republic

208 DK-Denmark

246 FI-Finland

250 FR-France

348 HU-Hungary

352 IS-Iceland

356 IN-India

372 IE-Ireland

376 IL-Israel

392 JP-Japan

410 KR-Korea (South)

428 LV-Latvia

440 LT-Lithuania

484 MX-Mexico

528 NL-Netherlands

578 NO-Norway

608 PH-Philippines

616 PL-Poland

643 RU-Russia

703 SK-Slovakia

705 SI-Slovenia

710 ZA-South Africa

724 ES-Spain

752 SE-Sweden


page 5

756 CH-Switzerland

792 TR-Turkey

840 US-United States

862 VE-Venezuela

5601 BE-FLA-Belgium/ Flanders

5602 BE-WAL-Belgium/ Wallonia

5603 BE-BRU-Belgium/ Brussels

27601 DE-W-Germany-West

27602 DE-E-Germany-East

62001 PT-Portugal 2012: first fieldwork round (main sample)

62002 PT-Portugal 2012: second fieldwork round (complementary sample)

82601 GB-GBN-Great Britain

Note:

/ PT: Due to fieldwork quality problems detected during the final supervision, several interviews were invalidated, leading to a total of 898

interviews validated. In order to achieve the minimum required of 1000 interviews and to correct the sample deviations introduced by the

interviews eliminated, a new fieldwork company carried out 103 interviews. These 103 interviews were collected in the original localities

where interviews were eliminated. The interviewees were selected in order to correct the systematic known deviations of the main sample

concerning Age and Sex. Only residents were considered eligible.

The ISSP Methodological Committee and Standing Committee approved the sample resulting from pooling the two rounds, which can still be

separated using variable V3 as a FLAG variable. More detailed information is available on request (Report of the MC/ SC).


page 6

V3


32

36

40

100

124

152

156

158

191

203

208

246

250

348

352

356

372

376

392

410

428

440

484

528

578

608

616

643

703

705

710

724

752

756

792

840

862

5601

5602

5603

27601

27602

62001

62002

82601

AR-Argentina

AU-Australia

AT-Austria

BG-Bulgaria

CA-Canada

CL-Chile

CN-China

TW-Taiwan

HR-Croatia

CZ-Czech Republic

DK-Denmark

FI-Finland

FR-France

HU-Hungary

IS-Iceland

IN-India

IE-Ireland

IL-Israel

JP-Japan

KR-Korea (South)

LV-Latvia

LT-Lithuania

MX-Mexico

NL-Netherlands

NO-Norway

PH-Philippines

PL-Poland

RU-Russia

SK-Slovakia

SI-Slovenia

ZA-South Africa

ES-Spain

SE-Sweden

CH-Switzerland

TR-Turkey

US-United States

VE-Venezuela

BE-FLA-Belgium/ Flanders

BE-WAL-Belgium/ Wallonia

BE-BRU-Belgium/ Brussels

DE-W-Germany-West

DE-E-Germany-East

PT-Portugal 2012: first fieldwork round (main sample)

PT-Portugal 2012: second fieldwork round (complementary sample)

GB-GBN-Great Britain

Sum

Valid Cases

977

1612

1182

1003

972

1564

5946

2072

1000

1804

1403

1171

2409

1012

1172

1660

1215

1220

1212

1396

1000

1187

1527

1315

1444

1200

1115

1525

1128

1034

2547

2595

1060

1237

1620

1302

997

1090

549

563

1208

558

898

103

950

61754

61754

1.6

2.6

1.9

1.6

1.6

2.5

9.6

3.4

1.6

2.9

2.3

1.9

3.9

1.6

1.9

2.7

2.0

2.0

2.0

2.3

1.6

1.9

2.5

2.1

2.3

1.9

1.8

2.5

1.8

1.7

4.1

4.2

1.7

2.0

2.6

2.1

1.6

1.8

0.9

0.9

2.0

0.9

1.5

0.2

1.5

100.0

1.6

2.6

1.9

1.6

1.6

2.5

9.6

3.4

1.6

2.9

2.3

1.9

3.9

1.6

1.9

2.7

2.0

2.0

2.0

2.3

1.6

1.9

2.5

2.1

2.3

1.9

1.8

2.5

1.8

1.7

4.1

4.2

1.7

2.0

2.6

2.1

1.6

1.8

0.9

0.9

2.0

0.9

1.5

0.2

1.5

100.0


page 7

V4 - Country ISO 3166 Code (see V3 for codes for the sample)

ISO Code of the countries (three digit)

All countries are coded in accordance with the ISO 3166-1-alpha-2 country code.

32 AR-Argentina

36 AU-Australia

40 AT-Austria

56 BE-Belgium

100 BG-Bulgaria

124 CA-Canada

152 CL-Chile

156 CN-China

158 TW-Taiwan

191 HR-Croatia

203 CZ-Czech Republic

208 DK-Denmark

246 FI-Finland

250 FR-France

276 DE-Germany

348 HU-Hungary

352 IS-Iceland

356 IN-India

372 IE-Ireland

376 IL-Israel

392 JP-Japan

410 KR-Korea (South)

428 LV-Latvia

440 LT-Lithuania

484 MX-Mexico

528 NL-Netherlands

578 NO-Norway

608 PH-Philippines

616 PL-Poland

620 PT-Portugal

643 RU-Russia

703 SK-Slovakia

705 SI-Slovenia

710 ZA-South Africa

724 ES-Spain

752 SE-Sweden

756 CH-Switzerland

792 TR-Turkey

826 GB-Great Britain and/or United Kingdom

840 US-United States

862 VE-Venezuela


page 8

V4


32

36

40

56

100

124

152

156

158

191

203

208

246

250

276

348

352

356

372

376

392

410

428

440

484

528

578

608

616

620

643

703

705

710

724

752

756

792

826

840

862

AR-Argentina

AU-Australia

AT-Austria

BE-Belgium

BG-Bulgaria

CA-Canada

CL-Chile

CN-China

TW-Taiwan

HR-Croatia

CZ-Czech Republic

DK-Denmark

FI-Finland

FR-France

DE-Germany

HU-Hungary

IS-Iceland

IN-India

IE-Ireland

IL-Israel

JP-Japan

KR-Korea (South)

LV-Latvia

LT-Lithuania

MX-Mexico

NL-Netherlands

NO-Norway

PH-Philippines

PL-Poland

PT-Portugal

RU-Russia

SK-Slovakia

SI-Slovenia

ZA-South Africa

ES-Spain

SE-Sweden

CH-Switzerland

TR-Turkey

GB-Great Britain and/or United Kingdom

US-United States

VE-Venezuela

Sum

Valid Cases

977

1612

1182

2202

1003

972

1564

5946

2072

1000

1804

1403

1171

2409

1766

1012

1172

1660

1215

1220

1212

1396

1000

1187

1527

1315

1444

1200

1115

1001

1525

1128

1034

2547

2595

1060

1237

1620

950

1302

997

61754

61754

1.6

2.6

1.9

3.6

1.6

1.6

2.5

9.6

3.4

1.6

2.9

2.3

1.9

3.9

2.9

1.6

1.9

2.7

2.0

2.0

2.0

2.3

1.6

1.9

2.5

2.1

2.3

1.9

1.8

1.6

2.5

1.8

1.7

4.1

4.2

1.7

2.0

2.6

1.5

2.1

1.6

100.0

1.6

2.6

1.9

3.6

1.6

1.6

2.5

9.6

3.4

1.6

2.9

2.3

1.9

3.9

2.9

1.6

1.9

2.7

2.0

2.0

2.0

2.3

1.6

1.9

2.5

2.1

2.3

1.9

1.8

1.6

2.5

1.8

1.7

4.1

4.2

1.7

2.0

2.6

1.5

2.1

1.6

100.0


page 9

C_ALPHAN - Country Prefix ISO 3166 Code - alphanumeric

Country Prefix ISO 3166 Code - alphanumeric

ISO 3166 Country Prefix

This alphanumerical country identification variable C_ALPHAN includes ISO 3166-1-alpha-2 country codes, if available. ISO 3166-2 is applied

for the UK's subsample Great Britain (GB-GBN).

This variable is used for the cross tabulations shown in the Variable Report.

AR = Argentina

AT = Austria

AU = Australia

BE = Belgium

BG = Bulgaria

CA = Canada

CH = Switzerland

CL = Chile

CN = China

CZ = Czech Republic

DE = Germany

DK = Denmark

ES = Spain

FI = Finland

FR = France

GB-GBN = Great Britain

HR = Croatia

HU = Hungary

IE = Ireland

IL = Israel

IN = India

IS = Iceland

JP = Japan

KR = Korea (South)

LT = Lithuania

LV = Latvia

MX = Mexico

NL = Netherlands

NO = Norway

PH = Philippines

PL = Poland

PT = Portugal

RU = Russia

SE = Sweden

SI = Slovenia

SK = Slovakia

TR = Turkey

TW = Taiwan


page 10

US = United States of America

VE = Venezuela

ZA = South Africa

C_ALPHAN


AR

AT

AU

BE

BG

CA

CH

CL

CN

CZ

DE

DK

ES

FI

FR

GB-GBN

HR

HU

IE

IL

IN

IS

JP

KR

LT

LV

MX

NL

NO

PH

PL

PT

RU

SE

SI

SK

TR

TW

US

VE

ZA

Sum

Valid Cases

977

1182

1612

2202

1003

972

1237

1564

5946

1804

1766

1403

2595

1171

2409

950

1000

1012

1215

1220

1660

1172

1212

1396

1187

1000

1527

1315

1444

1200

1115

1001

1525

1060

1034

1128

1620

2072

1302

997

2547

61754

61754

1.6

1.9

2.6

3.6

1.6

1.6

2.0

2.5

9.6

2.9

2.9

2.3

4.2

1.9

3.9

1.5

1.6

1.6

2.0

2.0

2.7

1.9

2.0

2.3

1.9

1.6

2.5

2.1

2.3

1.9

1.8

1.6

2.5

1.7

1.7

1.8

2.6

3.4

2.1

1.6

4.1

100.0

1.6

1.9

2.6

3.6

1.6

1.6

2.0

2.5

9.6

2.9

2.9

2.3

4.2

1.9

3.9

1.5

1.6

1.6

2.0

2.0

2.7

1.9

2.0

2.3

1.9

1.6

2.5

2.1

2.3

1.9

1.8

1.6

2.5

1.7

1.7

1.8

2.6

3.4

2.1

1.6

4.1

100.0


page 11

V5 - Q1a Working mom: warm relationship with children as a not working mom

Q1

To begin, we have some questions about women.

To what extent do you agree or disagree ...?

(PLEASE TICK ONE BOX ON EACH LINE)

Q1a A working mother can establish just as warm and secure a relationship with her children as a mother who does not work.

1 Strongly agree

2 Agree

3 Neither agree nor disagree

4 Disagree

5 Strongly disagree

8 Can't choose, CA:can't choose+no answer, KR:don't know+refused, NL:don't know

9 No answer

in Spain (ES):

0 NAP: answer categories differ from ISSP standard


page 12

V5 by C_ALPHAN, Absolute Values (Row Percent)

V5 0 1 2 3 4 5 8 9 N Sum N Valid Sum

C_ALPHAN

AR

AT

AU

BE

BG

CA

CH

CL

CN

CZ

DE

DK

ES

FI

FR

GB-GBN

HR

HU

IE

IL

IN

IS

JP

KR

LT

LV

MX

NL

NO

PH

PL

PT

RU

SE

SI

SK

TR

TW

US

VE

ZA

N Sum

N Valid Sum

M

2595

2595

180 (18.6)

431 (37.5)

358 (22.8)

730 (35.5)

140 (14.5)

278 (28.9)

375 (30.4)

160 (10.3)

575 (9.8)

597 (34.3)

1041 (59.7)

849 (60.9)

457 (40.7)

1238 (52.4)

267 (28.6)

295 (29.7)

297 (29.9)

357 (30.0)

199 (16.7)

374 (23.8)

492 (42.1)

515 (44.2)

400 (28.8)

100 (8.8)

317 (31.9)

362 (23.9)

178 (14.3)

341 (24.5)

451 (37.9)

198 (18.1)

244 (24.5)

412 (28.2)

387 (37.5)

428 (42.5)

614 (55.7)

304 (19.3)

331 (16.1)

342 (26.5)

151 (15.3)

592 (23.6)

16357

16357

442 (45.6)

409 (35.6)

715 (45.5)

789 (38.4)

425 (44.1)

400 (41.6)

591 (48.0)

594 (38.3)

3143 (53.6)

502 (28.8)

481 (27.6)

372 (26.7)

420 (37.4)

696 (29.4)

448 (48.0)

413 (41.5)

323 (32.5)

500 (42.1)

411 (34.5)

475 (30.2)

523 (44.7)

315 (27.0)

505 (36.4)

528 (46.3)

345 (34.7)

494 (32.7)

597 (47.9)

680 (48.9)

409 (34.3)

491 (44.8)

508 (51.1)

571 (39.1)

420 (40.7)

436 (43.3)

273 (24.8)

341 (21.7)

1398 (68.0)

593 (45.9)

365 (37.1)

1299 (51.9)

23640

23640

54 (5.6)

111 (9.7)

167 (10.6)

247 (12.0)

157 (16.3)

91 (9.5)

95 (7.7)

161 (10.4)

679 (11.6)

316 (18.2)

45 (2.6)

48 (3.4)

98 (8.7)

160 (6.8)

101 (10.8)

82 (8.2)

194 (19.5)

109 (9.2)

206 (17.3)

277 (17.6)

72 (6.2)

198 (17.0)

159 (11.5)

256 (22.4)

111 (11.2)

125 (8.3)

193 (15.5)

138 (9.9)

154 (12.9)

103 (9.4)

73 (7.3)

233 (15.9)

122 (11.8)

71 (7.1)

102 (9.2)

148 (9.4)

55 (2.7)

291 (22.5)

69 (7.0)

153 (6.1)

6224

6224

277 (28.6)

150 (13.1)

270 (17.2)

225 (11.0)

206 (21.4)

136 (14.1)

152 (12.3)

589 (38.0)

1354 (23.1)

216 (12.4)

141 (8.1)

81 (5.8)

122 (10.9)

196 (8.3)

99 (10.6)

153 (15.4)

124 (12.5)

189 (15.9)

300 (25.2)

365 (23.2)

74 (6.3)

92 (7.9)

271 (19.5)

232 (20.3)

167 (16.8)

460 (30.4)

216 (17.3)

207 (14.9)

148 (12.4)

253 (23.1)

149 (15.0)

215 (14.7)

80 (7.8)

63 (6.3)

84 (7.6)

469 (29.8)

264 (12.8)

66 (5.1)

348 (35.4)

367 (14.7)

9570

9570

17 (1.8)

47 (4.1)

60 (3.8)

63 (3.1)

36 (3.7)

57 (5.9)

19 (1.5)

48 (3.1)

116 (2.0)

110 (6.3)

37 (2.1)

44 (3.2)

25 (2.2)

74 (3.1)

18 (1.9)

51 (5.1)

56 (5.6)

34 (2.9)

74 (6.2)

81 (5.2)

9 (0.8)

45 (3.9)

52 (3.7)

25 (2.2)

55 (5.5)

72 (4.8)

63 (5.1)

26 (1.9)

29 (2.4)

51 (4.7)

20 (2.0)

31 (2.1)

22 (2.1)

9 (0.9)

30 (2.7)

311 (19.8)

8 (0.4)

51 (5.2)

93 (3.7)

2069

2069

M

7

34

16

73

39

10

5

12

77

63

10

9

27

22

10

5

16

11

30

88

2

42

9

46

5

5

30

24

9

19

7

63

19

20

25

18

15

10

26

958

M

26

75

2

11

22

23

7

1

2

15

5

9

38

28

10

7

29

1

13

17

341

977

1182

1612

2202

1003

972

1237

1564

5946

1804

1766

1403

2595

1171

2409

950

1000

1012

1215

1220

1660

1172

1212

1396

1187

1000

1527

1315

1444

1200

1115

1001

1525

1060

1034

1128

1620

2072

1302

997

2547

61754

970

1148

1570

2054

964

962

1232

1552

5867

1741

1745

1394

1122

2364

933

994

994

1189

1190

1572

1170

1165

1387

1141

995

1513

1247

1392

1191

1096

994

1462

1031

1007

1103

1573

2056

1292

984

2504

57860


page 13

ES_V5 - Q1a Working mom: warm relationship with children as a not working mom

Q1




Q1a A working mother can establish just as warm and secure a relationship with her children as a mother who does not work.

0 NAP: other countries

1 Strongly agree

2 Agree

3 Disagree

4 Strongly disagree

8 Can't choose

9 No answer

Note:

/ ES: SPECIFICATIONS ABOUT DIFFERENCES BETWEEN THE SPANISH QUESTIONNAIRE AND THE ENGLISH QUESTIONNAIRE,

PERTAINING TO SOME OPINION VARIABLES IN THE DATA FILE:

The Spanish questionnaire does not include the middle category (Neither agree nor disagree) in the following variables: V5-V11, V14-V21,

V22-V27. The scale used is a 4-point scale in contrast to the ISSP 5-point scale:

1 Strongly agree

2 Agree


4 Disagree

5 Strongly disagree

ES_V5


0

1

2

3

4

8

9

NAP: other countries

Strongly agree

Agree

Disagree

Strongly disagree

Can't choose

No answer

Sum

Valid Cases

M

M

M

59159

572

1157

633

199

30

4

61754

2561

95.8

0.9

1.9

1.0

0.3

0.0

0.0

100.0

22.3

45.2

24.7

7.8

100.0


page 14

V6 - Q1b Working mom: Preschool child is likely to suffer

Q1




Q1b A preschool child is likely to suffer if his or her mother works.

1 Strongly agree

2 Agree


4 Disagree

5 Strongly disagree


9 No answer

in Spain (ES):



page 15


V6 0 1 2 3 4 5 8 9 N Sum N Valid Sum

C_ALPHAN

AR

AT

AU

BE

BG

CA

CH

CL

CN

CZ

DE

DK

ES

FI

FR

GB-GBN

HR

HU

IE

IL

IN

IS

JP

KR

LT

LV

MX

NL

NO

PH

PL

PT

RU

SE

SI

SK

TR

TW

US

VE

ZA

N Sum

N Valid Sum

M

2595

2595

142 (14.7)

218 (19.1)

82 (5.3)

193 (9.5)

118 (12.8)

51 (5.3)

89 (7.3)

190 (12.2)

431 (7.3)

174 (10.0)

165 (9.6)

70 (5.0)

47 (4.2)

256 (11.0)

37 (4.0)

75 (7.6)

219 (22.0)

56 (4.8)

96 (8.0)

271 (16.7)

13 (1.1)

48 (4.2)

318 (22.9)

50 (4.4)

188 (19.1)

427 (28.2)

59 (4.8)

23 (1.7)

354 (29.7)

110 (10.1)

73 (7.4)

244 (16.9)

29 (2.9)

39 (3.9)

117 (10.8)

366 (23.3)

65 (3.2)

86 (6.7)

82 (8.3)

298 (11.8)

5969

5969

512 (53.0)

447 (39.2)

405 (26.0)

454 (22.5)

395 (42.9)

215 (22.4)

431 (35.4)

856 (54.9)

2896 (49.3)

392 (22.5)

376 (21.9)

238 (17.1)

188 (16.9)

551 (23.7)

247 (26.6)

265 (26.8)

288 (28.9)

250 (21.2)

473 (39.6)

737 (45.3)

138 (11.9)

189 (16.7)

644 (46.4)

438 (38.9)

395 (40.1)

665 (43.9)

296 (23.9)

186 (13.5)

423 (35.5)

395 (36.3)

495 (49.9)

542 (37.6)

124 (12.4)

272 (27.0)

246 (22.6)

565 (36.0)

921 (45.0)

350 (27.3)

563 (57.2)

819 (32.6)

19282

19282

87 (9.0)

171 (15.0)

285 (18.3)

440 (21.8)

205 (22.3)

181 (18.9)

222 (18.2)

254 (16.3)

724 (12.3)

403 (23.2)

199 (11.6)

152 (11.0)

149 (13.4)

424 (18.2)

208 (22.4)

190 (19.2)

225 (22.6)

197 (16.7)

239 (20.0)

291 (17.9)

186 (16.0)

339 (29.9)

203 (14.6)

396 (35.2)

156 (15.8)

156 (10.3)

242 (19.5)

226 (16.4)

158 (13.3)

155 (14.2)

157 (15.8)

360 (25.0)

219 (21.9)

200 (19.9)

229 (21.0)

286 (18.2)

187 (9.1)

652 (50.8)

90 (9.1)

332 (13.2)

10175

10175

199 (20.6)

205 (18.0)

568 (36.5)

554 (27.4)

190 (20.6)

317 (33.1)

365 (29.9)

234 (15.0)

1680 (28.6)

415 (23.9)

538 (31.3)

232 (16.7)

423 (38.1)

469 (20.2)

331 (35.7)

327 (33.0)

190 (19.1)

478 (40.6)

319 (26.7)

234 (14.4)

552 (47.6)

162 (14.3)

164 (11.8)

220 (19.5)

209 (21.2)

224 (14.8)

445 (35.9)

579 (42.0)

219 (18.4)

365 (33.5)

215 (21.7)

254 (17.6)

276 (27.5)

365 (36.2)

298 (27.4)

286 (18.2)

836 (40.9)

196 (15.3)

209 (21.2)

850 (33.8)

15192

15192

26 (2.7)

98 (8.6)

215 (13.8)

381 (18.8)

13 (1.4)

194 (20.3)

112 (9.2)

24 (1.5)

148 (2.5)

355 (20.4)

441 (25.7)

696 (50.1)

303 (27.3)

624 (26.9)

105 (11.3)

133 (13.4)

75 (7.5)

197 (16.7)

68 (5.7)

94 (5.8)

271 (23.4)

395 (34.9)

60 (4.3)

22 (2.0)

38 (3.9)

44 (2.9)

196 (15.8)

365 (26.5)

38 (3.2)

64 (5.9)

52 (5.2)

42 (2.9)

354 (35.3)

131 (13.0)

198 (18.2)

68 (4.3)

36 (1.8)

40 (4.1)

217 (8.6)

6933

6933

M

11

43

19

87

81

14

18

6

64

65

22

15

30

53

9

6

12

16

23

33

7

73

7

61

14

6

39

28

8

26

9

83

40

20

40

19

27

18

23

1175

M

38

93

1

3

25

31

32

13

4

3

21

2

5

6

5

38

37

18

7

30

13

8

433

977

1182

1612

2202

1003

972

1237

1564

5946

1804

1766

1403

2595

1171

2409

950

1000

1012

1215

1220

1660

1172

1212

1396

1187

1000

1527

1315

1444

1200

1115

1001

1525

1060

1034

1128

1620

2072

1302

997

2547

61754

966

1139

1555

2022

921

958

1219

1558

5879

1739

1719

1388

1110

2324

928

990

997

1178

1195

1627

1160

1133

1389

1126

986

1516

1238

1379

1192

1089

992

1442

1002

1007

1088

1571

2045

1284

984

2516

57551


page 16

ES_V6 - Q1b Working mom: Preschool child is likely to suffer

Q1




Q1b A preschool child is likely to suffer if his or her mother works.


1 Strongly agree

2 Agree

3 Disagree

4 Strongly disagree

8 Can't choose

9 No answer

Note:

/ ES: The Spanish questionnaire does not include the middle category (Neither agree nor disagree) in the following variables: V5-V11, V14-

V21, V22-V27. The scale used is a 4-point scale in contrast to the ISSP 5-point scale:

1 Strongly agree

2 Agree


4 Disagree

5 Strongly disagree

ES_V6


0

1

2

3

4

8

9


Strongly agree

Agree

Disagree

Strongly disagree

Can't choose

No answer

Sum

Valid Cases

M

M

M

59159

195

1117

898

278

91

16

61754

2488

95.8

0.3

1.8

1.5

0.5

0.1

0.0

100.0

7.8

44.9

36.1

11.2

100.0


page 17

V7 - Q1c Working woman: Family life suffers when woman has full-time job

Q1




Q1c All in all, family life suffers when the woman has a full-time job.

1 Strongly agree

2 Agree


4 Disagree

5 Strongly disagree


9 No answer

in Spain (ES):

0 NAP: answer categories differ from standard scale


page 18


V7 0 1 2 3 4 5 8 9 N Sum N Valid Sum

C_ALPHAN

AR

AT

AU

BE

BG

CA

CH

CL

CN

CZ

DE

DK

ES

FI

FR

GB-GBN

HR

HU

IE

IL

IN

IS

JP

KR

LT

LV

MX

NL

NO

PH

PL

PT

RU

SE

SI

SK

TR

TW

US

VE

ZA

N Sum

N Valid Sum

M

2595

2595

184 (19.0)

204 (17.7)

105 (6.7)

201 (9.9)

84 (8.8)

46 (4.8)

128 (10.5)

166 (10.7)

265 (4.5)

169 (9.7)

183 (10.6)

77 (5.5)

31 (2.8)

279 (12.0)

43 (4.6)

83 (8.4)

178 (17.9)

80 (6.8)

104 (8.7)

303 (18.9)

26 (2.2)

81 (7.0)

275 (19.8)

40 (3.5)

185 (18.7)

442 (29.2)

73 (5.8)

31 (2.3)

253 (21.2)

80 (7.4)

64 (6.5)

272 (18.5)

30 (3.0)

52 (5.2)

145 (13.1)

281 (17.9)

29 (1.4)

73 (5.7)

106 (10.9)

215 (8.6)

5666

5666

476 (49.2)

430 (37.4)

459 (29.4)

531 (26.2)

303 (31.8)

207 (21.7)

453 (37.1)

866 (55.8)

2402 (40.9)

379 (21.8)

365 (21.2)

176 (12.6)

120 (10.8)

520 (22.3)

229 (24.7)

250 (25.3)

279 (28.0)

327 (27.9)

380 (31.9)

593 (36.9)

168 (14.4)

220 (19.1)

603 (43.3)

404 (35.6)

330 (33.4)

654 (43.3)

361 (28.9)

251 (18.3)

328 (27.5)

317 (29.3)

360 (36.3)

555 (37.8)

140 (13.8)

340 (33.9)

281 (25.3)

405 (25.8)

421 (20.6)

286 (22.5)

521 (53.5)

704 (28.1)

17394

17394

110 (11.4)

184 (16.0)

267 (17.1)

387 (19.1)

248 (26.1)

146 (15.3)

206 (16.9)

325 (21.0)

855 (14.5)

466 (26.8)

215 (12.5)

119 (8.5)

136 (12.2)

419 (18.0)

221 (23.8)

180 (18.2)

262 (26.3)

159 (13.5)

334 (28.1)

376 (23.4)

201 (17.2)

336 (29.2)

225 (16.2)

384 (33.9)

195 (19.8)

159 (10.5)

250 (20.0)

265 (19.3)

220 (18.5)

154 (14.2)

192 (19.4)

338 (23.0)

176 (17.4)

219 (21.8)

251 (22.6)

364 (23.2)

151 (7.4)

152 (11.9)

82 (8.4)

369 (14.8)

10298

10298

175 (18.1)

213 (18.5)

477 (30.6)

521 (25.7)

264 (27.7)

329 (34.5)

335 (27.4)

180 (11.6)

2138 (36.4)

384 (22.1)

493 (28.7)

206 (14.8)

390 (35.1)

506 (21.7)

307 (33.1)

334 (33.7)

189 (19.0)

394 (33.6)

291 (24.5)

235 (14.6)

478 (41.0)

171 (14.8)

217 (15.6)

274 (24.2)

225 (22.8)

206 (13.6)

373 (29.8)

524 (38.2)

318 (26.7)

438 (40.4)

294 (29.6)

258 (17.6)

288 (28.4)

289 (28.8)

271 (24.4)

373 (23.7)

1316 (64.3)

511 (40.2)

216 (22.2)

911 (36.4)

16312

16312

22 (2.3)

119 (10.3)

252 (16.2)

384 (19.0)

53 (5.6)

227 (23.8)

100 (8.2)

14 (0.9)

217 (3.7)

341 (19.6)

463 (26.9)

816 (58.5)

434 (39.1)

606 (26.0)

127 (13.7)

143 (14.4)

89 (8.9)

214 (18.2)

81 (6.8)

100 (6.2)

294 (25.2)

344 (29.9)

72 (5.2)

32 (2.8)

52 (5.3)

51 (3.4)

194 (15.5)

301 (21.9)

72 (6.0)

94 (8.7)

82 (8.3)

46 (3.1)

380 (37.5)

104 (10.4)

161 (14.5)

148 (9.4)

131 (6.4)

250 (19.7)

49 (5.0)

302 (12.1)

7961

7961

M

10

32

21

83

51

17

15

12

63

65

18

9

21

43

5

7

12

18

27

47

5

54

4

53

13

6

28

26

9

32

9

56

27

23

19

19

23

23

22

1027

M

31

95

1

6

29

39

36

18

3

3

23

3

6

6

9

36

46

19

7

30

1

7

23

24

501

977

1182

1612

2202

1003

972

1237

1564

5946

1804

1766

1403

2595

1171

2409

950

1000

1012

1215

1220

1660

1172

1212

1396

1187

1000

1527

1315

1444

1200

1115

1001

1525

1060

1034

1128

1620

2072

1302

997

2547

61754

967

1150

1560

2024

952

955

1222

1551

5877

1739

1719

1394

1111

2330

927

990

997

1174

1190

1607

1167

1152

1392

1134

987

1512

1251

1372

1191

1083

992

1469

1014

1004

1109

1571

2048

1272

974

2501

57631


page 19

ES_V7 - Q1c Working woman: Family life suffers when woman has full-time job

Q1




Q1c All in all, family life suffers when the woman has a full-time job.


1 Strongly agree

2 Agree

3 Disagree

4 Strongly disagree

8 Can't choose

9 No answer

Note:

/ ES: The Spanish questionnaire does not include the middle category (Neither agree nor disagree) in the following variables: V5-V11, V14-

V21, V22-V27. The scale used is a 4-point scale in contrast to the ISSP 5-point scale:

1 Strongly agree

2 Agree


4 Disagree

5 Strongly disagree

ES_V7


0

1

2

3

4

8

9


Strongly agree

Agree

Disagree

Strongly disagree

Can't choose

No answer

Sum

Valid Cases

M

M

M

59159

306

1221

768

197

86

17

61754

2492

95.8

0.5

2.0

1.2

0.3

0.1

0.0

100.0

12.3

49.0

30.8

7.9

100.0


page 20

V8 - Q1d Working woman: What women really want is home and kids

Q1




Q1d A job is all right, but what most women really want is a home and children.

1 Strongly agree

2 Agree


4 Disagree

5 Strongly disagree


9 No answer

in Spain (ES):



page 21


V8 0 1 2 3 4 5 8 9 N Sum N Valid Sum

C_ALPHAN

AR

AT

AU

BE

BG

CA

CH

CL

CN

CZ

DE

DK

ES

FI

FR

GB-GBN

HR

HU

IE

IL

IN

IS

JP

KR

LT

LV

MX

NL

NO

PH

PL

PT

RU

SE

SI

SK

TR

TW

US

VE

ZA

N Sum

N Valid Sum

M

2595

2595

155 (16.3)

93 (8.7)

91 (5.9)

206 (10.4)

82 (8.9)

34 (3.6)

86 (7.1)

103 (6.7)

592 (10.2)

296 (17.4)

104 (6.2)

69 (5.2)

58 (5.7)

277 (12.2)

49 (5.4)

111 (11.3)

212 (21.5)

61 (5.3)

132 (11.5)

421 (26.3)

33 (2.9)

180 (15.9)

261 (18.8)

43 (4.2)

161 (16.7)

340 (22.6)

17 (1.4)

31 (2.4)

3

Documents

VARIABLE Reports 2016|12 International Social Survey Programme VARIABLE Reports 2016|12 International Social Survey Programme ISSP 2012 - Family and Changing Gender Roles IV Variable