ADS
A joint project by
Institute for Social Studies of the University Of Warsaw and
Institute of Philosophy and Sociology of the Polish Academy of Sciences

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Polish National Election Study (PGSW) 1997

IDP0021
Title of the StudyPolish National Election Study (PGSW) 1997
Full name of the institution depositing the dataInstitute of Political Studies Polish Academy of Sciences (ISP PAN)
Principal InvestigatorRadosław Markowski
Contact personPaweł Grzelak
Data collection languageEN
Documentation languageEN
FlagsLOG.P FIL.P UDC.P STD.P CDB.A FRE.A DSC.A

The purpose of the study

Polskie Generalne Studium Wyborcze (Polish National Election Study) has a research formula in the field of politics sociology and political sciences. In most of democratic countries there is an institution called National Election Study. Following the decision of Scientific Research Committee (KBN), taken in 1997, Poland joined the group of these countries. Only then was Polish National Election Study (PGSW) set up and it joined international scientific circles. The research tool implemented by PGSW comprises among others of a comparative part; so called CSES module (Comparative Study of Electoral Systems) covering about 50 political systems of the countries of all continents.

Main topics of the study

PGSW research covers:

1) analysis of the social and political awareness of Poles, rendered with an intensified public opinion poll conducted among a big number of participants (questionnaire research);

2) Polish parliamentary elites analysis - both their socio-demographic, as well as - mainly - their attitudes and political views

3) party manifesto research, and

4) so called, political ecology - research of regional political and electoral differences.


Unit of Analysis

person

Sample design

Type of the sample applied in the Study

Sample based on three-level sampling procedure;

1-st - (so-called) statistical regions (Central Statistical Office regionalization),

2-nd -- residence addresses,

3-rd -- (in case of more than single-person household) selection of the respondent from multi-member household.


Geographic coverage of the sample

Poland
Lower age cut-off for the sample18
Upper age cut-off for the samplebrak

Data collection methods were used for the study

"face-to-face" interview

The total number of starting or issued names/addresses and the total number of successfully completed

starting or issued names/addresses2808
sucessfully completed2003

Substitution or replacement of respondents

not permitted

Post-stratification weight

available

Factors considered at construction of the post-stratified weighting factor

sex, age, educational level, place of residence, economic activity

Weighting or post-stratification strategy used

The weight consists of the following parameters:

1) sex (2 categories: male and female), age (5 different categories for males and females: males: 18-24, 25-34, 35-49, 50-64 and 65 or more; females: 18-24, 25-34, 35-49, 50-59 and 60 or more), educational level (4 categories: elementary, basic vocational, secondary and higher), place of residence (4 categories: villages, cities 20000 or less, cities 20000-100000, and cities more then 100000 inhabitatnts) and economic activity.

2) Because of the probability of selection inside the household are inversely proportional to the number of adults in the household another procedure was implemented to correct such an uneqall probabilities by weighting the results by the number of adults in the household.


Description of sample design

Attached to deposited documentation

Fieldwork

Start and end dates of fieldwork

Start date29-9-1997
End date7-10-1997

Interviews back-checked (e.g. supervisor checks later whether interview was conducted


Other information about the study

Pattern for data quotation

The data have been collected and rendered accessible by the staff of PGSW - Polskie Generalne Studium Wyborcze (Polish National Election Study) affiliated with the Institute of Political Studies of Polish Academy of Sciences. The project has been sponsored by Scientific Research Committee; grant no. 1H01F01712


Data distribution

Data use restrictions

no restrictions

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