教學大綱 Syllabus

每周課程進度與作業要求 Course Schedule & Requirements

Weekly Topic and Readings

Week 1 (Sep. 4) Introduction to the Course

• What is a survey? What are international surveys? Why do we need them?

Week 2 (Sep. 11) World Values Survey (WVS), Sampling, and Data Management

• How do we access, understand, and use an international survey?
• Readings
  • Chapman, Ch 7. Sampling Techniques. pp.135–183.
  • Website of the World Value Survey (WVS) https://www.worldvaluessurvey.org/WVSContents.jsp (Read Who We Are and What We Do)
• Resources
  • Jenkins-Smith et al. Ch 17. Basic R
  • Jenkins-Smith et al. Ch 3. Exploring and Visualizing Data

Week 3 (Sep. 18) East Asian Social Survey (EASS), Survey Method, Localizing International Survey

• How do countries implement international surveys in local settings?

• Readings
  • Chapman, Ch 8. Data Collection Methods: Survey Research. pp.185–219.
  • Website of the East Asian Social Survey (EASS). https://www.eassda.org/index.php (Read AboutEASSand Participating Institutions)
• Optional Readings
  • Iwai, N., Mo, T., Kim, J., Wu, C. I., & Wang, W. (2024). Harmonization in the East Asian Social Survey. In Tomescu-Dubrow, I., Wolf, C., Slomczynski, K. M., & Jenkins, J. C. (Eds.). Survey Data Harmonization in the Social Sciences. John Wiley & Sons. pp. 107–124.
  • Behr, D., & Shishido, K. (2016). The translation of measurement instruments for cross-cultural surveys. In Wolf, C., Fu, Y. C., Smith, T., & Joye, D. (Eds). The SAGE handbook of survey methodology. Sage Publications. pp. 269–287.
  • Stone, L., & Campbell, J. G. (1984). The use and misuse of surveys in international development: an experiment from Nepal. Human Organization, 43(1), 27–37.

Week 4 (Sep. 25) International Social Survey Programme (ISSP), Nonresponse Bias, Missing Values

• Why should we care about those who did not respond?
• Readings
  • Website of International Social Survey Programme (ISSP) https://issp.org/survey-topics/ (Read About ISSP and Survey Topics)
  • Rybak, A. (2023). Survey mode and nonresponse bias: A meta-analysis based on the data from the International Social Survey Programme waves 1996–2018 and the European Social Survey rounds 1 to 9. PLoS One, 18(3), e0283092.
  • Acock, A. C. (2005). Working with missing values. Journal of Marriage and Family, 67(4), 1012–1028.
• Assignment
  • Problem Set 1. Due Oct. 1.

Week 5 (Oct. 2) Programme for International Student Assessment (PISA), Variables Measurement, Reliability, and Validity

• How do we measure (operationalize) concepts?
• Readings
  • Chapman, Ch 4. Measurement and Units of Analysis. pp.79–106.
  • Lee, J. (2009). Universals and specifics of math self-concept, math self-efficacy, and math anxiety across 41 PISA 2003 participating countries. Learning and Individual Differences, 19(3), 355–365.
  • Website of Programme for International Student Assessment (PISA) https://www.oecd.org/en/about/programmes/pisa.html (Read About and Participation)
• Resources
  • Zhang & Kwon. Factor Analysis. R Programming for Psychometrics. https://bookdown.org/sz_psyc490/r4psychometics/factor-analysis.html
  • Zhang & Kwon. Reliability: Coefficient α. R Programming for Psychometrics. https://bookdown.org/sz_psyc490/r4psychometics/reliability.html#coefficient-alpha

Week 6 (Oct. 9) Study on global AGEing and adult health (SAGE), Longitudinal Survey, Combining Datasets

• When and how do we combine (merge and append) different datasets?
• Readings
  • Website of Study on global AGEing and adult health (SAGE). https://www.who.int/data/data-collection-tools/study-on-global-ageing-and-adult-health/sage-waves
  • Kowal, P., Chatterji, S., Naidoo, N., Biritwum, R., Fan, W., Lopez Ridaura, R., ... & SAGE collaborators. (2012). Data resource profile: the World Health Organization Study on global AGEing and adult health (SAGE). International Journal of Epidemiology, 41(6), 1639–1649.
• Resources
  • Merging. Data Wrangling with R. University of Wisconsin–Madison. https://sscc.wisc.edu/sscc/pubs/dwr/merge-base.html
• Optional Readings
  • Alderman, H., Behrman, J. R., Kohler, H. P., Maluccio, J. A., & Watkins, S. C. (2001). Attrition in longitudinal household survey data: some tests for three developing-country samples. Demographic Research, 5, 79–124.
• Assignment:
  • Paper Reading Note 1. Due Oct. 15.

Week 7 (Oct. 16) Country Level Data, Aggregating Analysis

• How can we examine the influence of country‑level characteristics such as political institutions, culture, or economic development?
• Readings:
  • Leigh, A., & Wolfers, J. (2006). Happiness and the human development index: Australia is not a paradox. Australian Economic Review, 39(2), 176–184.
  • Yodanis, C. (2005). Divorce culture and marital gender equality: A cross-national study. Gender & Society, 19(5), 644–659.
• Resources
  • Human Development Index (HDI). https://hdr.undp.org/data-center/human-development-index#/indicies/HDI
  • Corruption Perceptions Index (CPI). https://www.transparency.org/en/cpi/2024
  • Undata. https://data.un.org
  • OECD data: https://data-explorer.oecd.org
  • Aggregating. Data Wrangling with R. University of Wisconsin–Madison. https://sscc.wisc.edu/sscc/pubs/dwr/aggregate-base.html

Week 8 (Oct. 23) International Comparative Study and Weighting

• How do we conduct an international comparative study when samples are non‑representative?
• Readings
  • Ariely, G., & Davidov, E. (2011). Can we rate public support for democracy in a comparable way? Cross-national equivalence of democratic attitudes in the World Value Survey. Social Indicators Research, 104, 271-286. (Just read sections 1, 2, & 5)
  • Silver, B. D., & Dowley, K. M. (2000). Measuring political culture in multiethnic societies: Reaggregating the World Values Survey. Comparative Political Studies, 33(4), 517-550.
• Resources
  • Federico Vegetti. Survey Weights with R. https://federicovegetti.github.io/teaching/heidelberg_2018/lab/sst_lab_day2.html
• Assignment:
  • Problem Set 2. Due Oct. 29.

Week 9 (Oct. 30) Literature Review, Hypotheses Development, and Academic Writing

• How do we develop research questions and hypotheses and use literature to justify them?
• Readings
  • Chapman, Ch3. Developing a Research Question. pp.55–76.
  • Chapman, Ch 5. The Literature Review. pp.109–127.
  • Avoiding Plagiarism. Harvard Guide to Using Sources. https://usingsources.fas.harvard.edu/sites/g/files/omnuum4606/
    files/sources/files/avoiding_plagiarism.pdf

Week 10 (Nov. 6) Proposal Workshop

• Readings
  • Chapman, Ch 14. The Research Proposal. pp.349–361.
• Assignment
  • Research Proposal. Due Nov. 12.

Week 11 (Nov. 13) Review: Introductory Level Statistics

• Summary statistics, t-test, chi-square, ANOVA, correlation, regression
• Readings
  • Jenkins-Smith et al. (Skim the section titles, skip the mathematical parts, focus on the concepts and application). You can also choose to review the statistical textbook used in your other course.
    • Ch 5. Inference.
    • Ch 6. Association of Variables.
    • Section II. Simple Regression.
    • Section III. Multiple Regression.
    • Section IV Generalized Linear Models.

Week 12 (Nov. 20) Advanced Statistics: Standardized Coefficients, Mediation, and Moderation

• Readings
  • Yamashita, T., Bardo, A. R., & Liu, D. (2016). Are East Asians happy to work more or less? Associations between working hours, relative income and happiness in China, Japan, South Korea and Taiwan. Asian Journal of Social Psychology, 19(3), 264-274. [Just read from the beginning to the Research question and hypotheses section and Figure 1.]
  • Lim, H. E., Shaw, D., Liao, P. S., & Duan, H. (2020). The effects of income on happiness in East and South Asia: Societal values matter?. Journal of Happiness Studies, 21, 391–415. [Just read the Introduction and Data and Methodology Sections]
• Assignment
  • Paper Reading Note 2. Due Nov. 26.

Week 13 (Nov. 27) Cross-Country Comparison: Subgroup Analysis, Cluster Data

• What special considerations and techniques apply to international comparative studies?
• Readings        
  • Babones, S. J. (2010). Trade globalization, economic development and the importance of education-as-knowledge. Journal of Sociology, 46(1), 45-61.
  • Grabau, L., Galand, B., Lafontaine, D., Lavonen, J., Ólafsson, R. F., Trudel, L., & Yoon, S. (2024, July). What is the association between schoolwork-related anxiety and science literacy proficiency? A comparison between Southeast Asia and Northwest Europe. Frontiers in Education, 9, 1414423.

Week 14 (Dec. 4) Cross-Country Comparison: Fixed Effect, Difference-in-Differences

• How can we use other countries as a control group?
• Readings
  • Kikuta, K., & Hanayama, M. (2025). The Nobel Peace Prize Increased the Global Support for Women’s Organizations: Prize and Praise in International Relations. Perspectives on Politics, 23(2). 494–510.
  • Hanushek, E. A., & Wößmann, L. (2006). Does educational tracking affect performance and inequality? Differences‐in‐differences evidence across countries. The Economic Journal, 116(510), C63–C76.
• Assignment
  • Problem Set 3. Due Dec. 10.

Week 15 (Dec. 11) Presentation

Week 16 (Dec. 18) Presentation