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.
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.
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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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
Eurobarometer 63.1 (Jan-Feb 2005): Science and Technology, Social Values, and Services of General Interest
European Commission, Brussels; DG Communication Public Opinion Analysis Sector
All respondents were residents in the respective country and aged 15 and over.
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.
Czech Republic (CZ)
United Kingdom (GB)
- 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: http://dx.doi.org/10.4135/9781412952644.n18
- 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: http://dx.doi.org/10.4135/9781412961288.n10
- 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 http://dx.doi.org/10.4135/9780857020123.n16
knowledge quiz score
We depend too much on science and not enough on faith
Science and technology can sort out any problem