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Learn About ANCOVA in SPSS With Data From the Eurobarometer (63.1, Jan–Feb 2005)

By: Nick Allum Published: 2015 | Product: SAGE Research Methods Datasets

This dataset is designed for teaching Analysis of Covariance (ANCOVA). The dataset is a subset of data derived from the 2005 Eurobarometer: Europeans, Science and Technology (EB63.1), and the example shows how to test whether attitudes to science and faith are different in different European countries, after adjusting for differing levels of scientific knowledge between these countries. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

Prerequisites: One-Way ANOVA
Data Type: Survey
Software Guide: SPSS
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You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

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In this tab you will find guides on using this dataset. The Teaching Guide is designed for faculty who are teaching research methods and statistics, with suggestions on how to use the dataset in lab exercises, in homework assignments and as exam questions. The Student Guide introduces the method for students, and can be used in teaching to provide students with an introductory overview of the method or test. The How-to Guide shows how to perform the technique or test using data analysis software.

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About This Dataset
Data Source Citation

European Commission (2012): Eurobarometer 63.1 (Jan-Feb 2005). TNS OPINION & SOCIAL, Brussels [Producer]. GESIS Data Archive, Cologne. ZA4233 Data file Version 1.1.0, doi:10.4232/1.10965

Full title of originating dataset

Eurobarometer 63.1 (Jan-Feb 2005): Science and Technology, Social Values, and Services of General Interest

Data author(s) and affiliations

European Commission, Brussels; DG Communication Public Opinion Analysis Sector

First publication date

June 2005

Data Universe

All respondents were residents in the respective country and aged 15 and over.

Sample/sampling procedures

A multi-stage, random (probability) sampling design was used for this Eurobarometer. In the first stage, primary sampling units (PSU) were selected from each of the administrative regionals units in every country (Statistical Office of the European Community, EUROSTAT NUTS 2 or equivalent). PSU selection was systematic, with probability proportional to population size, from sampling frames stratified by the degree of urbanization. In the next stage, a cluster of starting addresses was selected from each sampled PSU, at random. Further addresses were chosen systematically using standard random route procedures as every Nth address from the initial address. In each household, a respondent was drawn, at random, following the closest birthday rule. No more than one interview was conducted in each household. They were supposed to have sufficient command of one of the respective national language(s) to answer the questionnaire.

Separate samples were drawn for Northern Ireland and East Germany.

Data collection dates


Time frame of analysis


Unit of analysis


Location covered by data

Austria (AT)

Belgium (BE)

Bulgaria (BG)

Croatia (HR)

Cyprus (CY)

Czech Republic (CZ)

Denmark (DK)

Estonia (EE)

Finland (FI)

France (FR)

Germany (DE)

Greece (GR)

Hungary (HU)

Iceland (IS)

Ireland (IE)

Italy (IT)

Latvia (LV)

Lithuania (LT)

Luxembourg (LU)

Malta (MT)

Netherlands (NL)

Norway (NO)

Poland (PL)

Portugal (PT)

Romania (RO)

Slovakia (SK)

Slovenia (SI)

Spain (ES)

Sweden (SE)

Switzerland (CH)

Turkey (TR)

United Kingdom (GB)

Links to SRM content
  • Huitema, B. (2007). Analysis of Covariance (ANCOVA). In Neil J. Salkind, & K. Rasmussen (Eds.), Encyclopedia of Measurement and Statistics. (pp. 30–33). Thousand Oaks, CA: Sage Publications, Inc. doi:
  • Breukelen, G. (2010). Analysis of Covariance (ANCOVA). In Neil J. Salkind (Ed.), Encyclopedia of Research Design. (pp. 21–27). Thousand Oaks, CA: SAGE Publications, Inc. doi:
  • analysis of covariance (ANCOVA). (2004). In Duncan Cramer, & D. Howitt (Eds.), The SAGE Dictionary of Statistics. (pp. 6-7). London, England: SAGE Publications, Ltd. Retrieved from
List of variables


knowledge quiz score


We depend too much on science and not enough on faith


Science and technology can sort out any problem


Methods Map
Analysis of covariance

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