Survey Methods

During the course there will be introduction to research methods in social sciences: definition of research, purpose of using surveys, survey as a process, steps in research process, qualitative vs. quantitative, from hypothesis to measurement, surveys modes, primary and secondary data sources, conceptualization and measurement in surveys, role of questionnaire and statistical foundations of survey methods: sampling.

Presentation and analysis of role, functions, principles and methods of empirical research (mainly data collecting and analysis), characteristics of selected research tools (with practical examples) as well as presentation of how data could be used in statistical analysis.

Literatura podstawowa:

E. Babbie, The Practice of Social Research, 13th Edition or later; J. Creswell, Research Design Qualitative, Quantitative, and Mixed Methods Approaches, Fourth Edition, 2013, Sage

Poteralska, M., & Perek-Białas, J. (2025). Do Weights and Complex Design Matter in Structural Equation Modeling for Social Studies? An Example of the Political Satisfaction-Political Trust Model: Poteralska and Perek-Białas. Social Indicators Research, 1-31.

Literatura uzupełniająca:

D.J. Bartholomew, F. Steele, I. Moustaki, J. Galbraith, The Analysis and Interpretation of Multivariate Data for Social Scientists, Chapman and Hall/CRC Press, London, 2005.

Abuladze, L., & Perek-Białas, J. (2018). Measures of ageism in the labour market in international social studies. In Contemporary perspectives on ageism (pp. 461-491). Springer, Cham

Żyminkowska, K., Perek-Białas, J., & Humenny, G. 2022, The effect of product category on customer motivation for customer engagement behaviour. International Journal of Consumer Studies

(https://doi.org/10.1111/ijcs.12837)

Perek-Białas, J., Grygiel, P., Dolata, R., & Skórska, P. (2024). Fear of taking math exams in the time of COVID-19. IBE, Edukacja, Warszawa.

Świąder, M., Aslano?lu, R., Chrobak, G. J., Ivan, L., Perek-Białas, J. M., Dikken, J., ... & Kazak, J. K. (2025). Shaping age-friendly cities and communities: A geospatial approach to the assessment of four cities in Europe. Cities, 166, 106247.

Perek-Białas, J. M., Skórska, P., Maj, M., Kazak, J. K., Dikken, J., & Van Hoof, J. (2024). The experienced age-friendliness in two Polish cities: An in-depth analysis of the views of older citizens. Habitat International, 153, 103201.

Dikken, J., Kazak, J. K., Ivan, L., Ayalon, L., Pavlovski, D., Perek-Białas, J. M., & Van Hoof, J. (2024). Perspectives of older people on environmental sustainability: A cross-cultural validation study between five countries. Journal of Cleaner Production, 447, 141317.

Evaluation criteria

Traditional Written Exam (selected aspects of research design, descriptions and tasks (sample sampling, reliability)): 50.00%

Other (individual tasks): 15.00%

Projects (research design project): 30.00%

Individual or Group Presentations (presentation of the project's design plan): 5.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 50%

Detailed passing conditions:

To pass, student must earn at least 30% of the points for the part including project, presentation, and individual assignments, and also at least 30% for the exam (60% total). Two unexcused absences from the labs are permitted. The exam consists of open-ended questions (e.g., 5) and closed-ended (test) questions (15-20). The exam also includes computational tasks (at least 3), including reliability analysis and sampling (e.g., the minimum sample size for stratified sampling). The final grade is the arithmetic mean of the labs (project, presentation, and assignments) and the exam. Students with unexcused absences exceeding the limit will be asked to complete additional tasks after consultation with the Coordinator.

During the course there will be introduction to research methods in social sciences: definition of research, purpose of using surveys, survey as a process, steps in research process, qualitative vs. quantitative, from hypothesis to measurement, surveys modes, primary and secondary data sources, conceptualization and measurement in surveys, role of questionnaire and statistical foundations of survey methods: sampling.

Presentation and analysis of role, functions, principles and methods of empirical research (mainly data collecting and analysis), characteristics of selected research tools (with practical examples) as well as presentation of how data could be used in statistical analysis.

Literatura podstawowa:

E. Babbie, The Practice of Social Research, 13th Edition or later; J. Creswell, Research Design Qualitative, Quantitative, and Mixed Methods Approaches, Fourth Edition, 2013, Sage

Literatura uzupełniająca:

D.J. Bartholomew, F. Steele, I. Moustaki, J. Galbraith, The Analysis and Interpretation of Multivariate Data for Social Scientists, Chapman and Hall/CRC Press, London, 2005.

Evaluation criteria

Traditional Written Exam (selected aspects of research design, descriptions and tasks (sample sampling, reliability)): 50.00%

Other (individual tasks): 15.00%

Projects (research design project): 30.00%

Individual or Group Presentations (presentation of the project's design plan): 5.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 50%

During the course there will be introduction to research methods in social sciences: definition of research, purpose of using surveys, survey as a process, steps in research process, qualitative vs. quantitative, from hypothesis to measurement, surveys modes, primary and secondary data sources, conceptualization and measurement in surveys, role of questionnaire and statistical foundations of survey methods: sampling.

Presentation and analysis of role, functions, principles and methods of empirical research (mainly data collecting and analysis), characteristics of selected research tools (with practical examples) as well as presentation of how data could be used in statistical analysis.

Literatura podstawowa:

E. Babbie, The Practice of Social Research, 13th Edition or later; J. Creswell, Research Design Qualitative, Quantitative, and Mixed Methods Approaches, Fourth Edition, 2013, Sage

Literatura uzupełniająca:

D.J. Bartholomew, F. Steele, I. Moustaki, J. Galbraith, The Analysis and Interpretation of Multivariate Data for Social Scientists, Chapman and Hall/CRC Press, London, 2005.

Evaluation criteria

Traditional Written Exam (selected aspects of research design, descriptions and tasks (sample sampling, reliability)): 50.00%

Other (individual tasks): 15.00%

Projects (research design project): 30.00%

Individual or Group Presentations (presentation of the project's design plan): 5.00%

The threshold percentage of absences (excluding lectures)

defined as the proportion of class hours beyond which the achievement of learning outcomes is deemed unattainable: 50%

During the course there will be introduction to research methods in social sciences: definition of research, purpose of using surveys, survey as a process, steps in research process, qualitative vs. quantitative, from hypothesis to measurement, surveys modes, primary and secondary data sources, conceptualization and measurement in surveys, role of questionnaire and statistical foundations of survey methods: sampling.

Presentation and analysis of role, functions, principles and methods of empirical research (mainly data collecting and analysis), characteristics of selected research tools (with practical examples) as well as presentation of how data could be used in statistical analysis.

Literatura podstawowa:

E. Babbie, The Practice of Social Research, 13th Edition or later; J. Creswell, Research Design Qualitative, Quantitative, and Mixed Methods Approaches, Fourth Edition, 2013, Sage

Literatura uzupełniająca:

D.J. Bartholomew, F. Steele, I. Moustaki, J. Galbraith, The Analysis and Interpretation of Multivariate Data for Social Scientists, Chapman and Hall/CRC Press, London, 2005.

During the course there will be introduction to research methods in social sciences: definition of research, purpose of using surveys, survey as a process, steps in research process, qualitative vs. quantitative, from hypothesis to measurement, surveys modes, primary and secondary data sources, conceptualization and measurement in surveys, role of questionnaire and statistical foundations of survey methods: sampling.

Presentation and analysis of role, functions, principles and methods of empirical research (mainly data collecting and analysis), characteristics of selected research tools (with practical examples) as well as presentation of how data could be used in statistical analysis.

Literatura podstawowa:

E. Babbie, The Practice of Social Research, 13th Edition or later; J. Creswell, Research Design Qualitative, Quantitative, and Mixed Methods Approaches, Fourth Edition, 2013, Sage

Literatura uzupełniająca:

D.J. Bartholomew, F. Steele, I. Moustaki, J. Galbraith, The Analysis and Interpretation of Multivariate Data for Social Scientists, Chapman and Hall/CRC Press, London, 2005.