Books

  1. Cernat, A. (2023). Longitudinal Data Analysis Using R. Leanpub.
  2. Cernat, A., & Sakshaug, J. W. (Eds.). (2021). Measurement error in longitudinal data. Oxford University Press.
  3. Atkinson, P., Delamont, S., Cernat, A., Sakshaug, J. W., & Williams, R. W. (Eds.). (2021). Sage Research Methods Foundations. Sage Publications.

Peered review papers (Impact Factor)

  1. Silber, H., Stadtmüller, S., & Cernat, A. (2023). Comparing participation motives of professional and non-professional respondents. International Journal of Market Research. (IF: 2.513)
  2. Cernat, A. & Oberski, D. (2022). Estimating Measurement Error in Longitudinal Data using the Longitudinal MultiTrait MultiError Approach. Structural Equation Modeling: A Multidisciplinary Journal. (IF: 6.181)
  3. Cernat, A. & Sakshaug, W. J. (2022). The Impact of Mixing Survey Modes on Estimates of Change: A Quasi-Experimental Study. Journal of Survey Statistics and Methodology. (IF: 2.446)
  4. Cernat, A., Sakshaug, W. J., Christmann , P. & Gummer, T. (2022). The Impact of Survey Mode Design and Questionnaire Length on Measurement Quality. Sociological Methods & Research. (IF: 6.677)
  5. Pina-Sanchez, J., Buil-Gil, D., Brunton-Smith, I. & Cernat, A. (2022). The Impact of Measurement Error in Regression Models Using Police Recorded Crime Rates. Journal of Quantitative Criminology. (IF: 4.33)
  6. Keusch, F., Bach, R. & Cernat, A. (2022). Reactivity in measuring sensitive online behavior. Internet Research. (IF: 6.35)
  7. Chen, Z., Cernat, A. & Shlomo, N., (2022). Predicting Web Survey Breakoffs Using Machine Learning Models. Social Science Computer Review. (IF: 4.418)
  8. Cernat, A. & Toepoel, V. (2022). How do social and economic status impact measurement error? International Journal of Social Research Methodology. (IF: 3.468)
  9. Einarsson, H., Sakshaug, J. W., Cernat, A., Cornesse, C. & Blom, A. G. (2022). Measurement Equivalence in Probability and Nonprobability Online Panels. International Journal of Market Research. (IF: 2.513)
  10. Buil-Gil, D., Brunton-Smith, I., Pina-Sanchez, J. & Cernat, A. (2022). Comparing Measurements of Violent Crime in Local Communities: A Case Study in Islington, London. Police Practice and Research. (IF: 1.351)
  11. Chen, Z., Cernat, A., Shlomo, N. & Eckman, S. (2022). Impact of question topics and filter question formats on web-survey breakoffs. International Journal of Market Research. (IF: 2.513)
  12. Cernat, A., Buil-Gil, D., Brunton-Smith, I., Pina-Sanchez, J., & Murria-Sangenis, M. (2021). Estimating crime in Place: Moving beyond residence location. Crime & Delinquency. (IF: 3.776)
  13. Watson, N. & Cernat, A. (2021). Simulating the consequences of adaptive survey design in two household panel studies. Journal of Survey Statistics and Methodology. (IF: 2.446)
  14. King, K., Allum, N., Stoneman, P., & Cernat, A. (2021). Estimating measurement equivalence of the 12-item General Health Questionnaire across ethnic groups in the UK. Psychological Medicine, 1-9. (IF: 7.723)
  15. Sakshaug, J. W., Cernat, A., Silverwood, J. R., Calderwood, L., & Ploubidis, B. G. (2021). Measurement Equivalence in Sequential Mixed-Mode Surveys. Survey Research Methods. (IF: 2.806)
  16. Einarsson, H., Cernat, A. & Shlomo, N. (2021). Reducing Respondent Burden with Efficient Survey Invitation Design. Survey Research Methods. (IF: 2.806)
  17. Cernat, A. & Sakshaug, J. W. (2021). Understanding the patterns of mode switching in longitudinal studies. Survey Research Methods. (IF: 2.806)
  18. Cernat, A. & Oberski, L. D. (2021). Estimating stochastic survey response errors using the multitrait multierror model. Royal Statistical Society Journal A. (IF: 2.483)
  19. Cernat, A. & Sakshaug, J. W. (2021). Interviewer effects in biosocial survey measurements. Field Methods. (IF: 1.413)
  20. Cernat, A. & Vandenplas, C. (2020). An evaluation of mixture Confirmatory Factor Analysis for detecting social desirability Bias. Journal of Survey Statistics and Methodology. (IF: 2.446)
  21. Cernat, A. & Keusch, F. (2020). Do surveys change behaviour? Insights from digital trace data. International Journal of Social Research Methodology. (IF: 3.468)
  22. Cernat, A., Sakshaug, J. W., Chandola, T., Nazroo, J., & Shlomo, N. (2020). Nurse effects on non-response in survey-based biomeasures. International Journal of Social Research Methodology, 0(0), 1–14. (IF: 3.468)
  23. Cernat, A., & Sakshaug, J. (2020). The impact of nurse continuity on biosocial Survey Participation. Survey Methods: Insights from the Field (SMIF).
  24. Cernat, A., & Revilla, M. (2020). Moving from face-to-face to a web panel: impacts on measurement quality. Journal of Survey Statistics and Methodology. (IF: 2.446)
  25. Cernat, A., & Sakshaug, J. (2020). Nurse effects on measurement error in household biosocial surveys. BMC Medical Research Methodology, 20(1), 45. (IF: 4.615)
  26. Cernat, A., & Sakshaug, J. (2020). The impact of mixed modes on multiple types of measurement error. Survey Research Methods, 14(1), 79–91. (IF: 2.806)
  27. Antoun, C. & Cernat, A. (2019). Factors affecting response times: A comparative analysis of smartphone and PC Web surveys. Social Science Computer Review. (IF: 4.418)
  28. Cernat, A., Sakshaug, J. & Jaramillo, C. J. (2018). The impact of interviewer effects on skin color assessment in a cross-national context. International Journal of Public Opinion Research. (IF 2.110)
  29. Cernat, A. & Liu, M. (2018). Radio buttons in web surveys: searching for alternatives. International Journal of Market Research. (IF 2.513)
  30. Sakshaug, J., Cernat, A. & Raghunathan, T.E. (2018). Do sequential mixed-mode surveys improve data quality? An experimental study. Journal of Survey Statistics and Methodology. (IF: 2.446)
  31. Cernat, A. & Lynn, P. (2017). The role of email addresses and email contact in encouraging web response in a mixed mode design. Field Methods. (IF: 1.413)
  32. Liu, M., & Cernat, A. (2016). Item-by-item versus matrix questions a web survey experiment. Social Science Computer Review. (IF: 4.418)
  33. Cernat, A., Couper, M. & Ofstedal, M.B. (2016). Estimation of mode differences using measurement models. Journal of Survey Statistics and Methodology. (IF: 2.446)
  34. Cernat, A. (2015). Impact of mode design on measurement errors and estimates of individual change. Survey Research Methods, 9 (2), 83-99. (IF: 2.806)
  35. Cernat, A. (2015). The impact of mixing modes on reliability in longitudinal studies. Sociological Methods & Research, 44 (3), 427-457. (IF 6.677)
  36. Barbulescu, M & Cernat, A. (2012). The impact of pictures on best-worst scaling in Web surveys. International Review of Social Research, 2(3), 79-92.

Book chapters

  1. Brunton-Smith, I., Buil-Gil, D., Pina-Sánchez, J., Cernat, A. & Moretti, A. (in press). Using synthetic crime data to understand patterns of police under-counting at the local level. In Huey, L. & Buil-Gil, D. (eds.) The Crime Data Handbook. Bristol: Policy Press.
  2. Cernat, A., Lugtig, P., Uhrig, S. N., & Watson, N. (2021). Assessing and relaxing assumptions in quasi-simplex models. In A. Cernat & J. W. Sakshaug (Eds.), Measurement Error in Longitudinal Data (pp. 155–171). Oxford University Press.
  3. Cernat, A. & Sakshaug, J. (2021) Estimating the measurement effects of mixed modes in longitudinal studies. Current practice and issues. In Lynn, P., et al. (Ed.), Advances in Longitudinal Survey Methodology, Wiley-Blackwell.
  4. Pashazadeh, F., Cernat, A. & Sakshaug, J. (2021). The effects of biological data collection in longitudinal surveys on subsequent wave cooperation. In Lynn, P., et al. (Ed.), Advances in Longitudinal Survey Methodology, Wiley-Blackwell.
  5. Pashazadeh, F., Cernat, A., & Sakshaug, J. W. (2020). Investigating the Use of Nurse Paradata in Understanding Nonresponse to Biological Data Collection. In K. Olson, J. D. Smyth, J. Dykema, A. Holbrook, F. Kreuter, & B. West (Eds.), Interviewer effects from a total survey error perspective. CRC Press.
  6. Cernat, A., & Oberski, D. L. (2019). Extending the Within‐Persons Experimental Design: The Multitrait‐Multierror (MTME) Approach. In P. Lavrakas, M. Traugott, C. Kennedy, A. Holbrook, E. de Leeuw, & B. West (Eds.), Experimental Methods in Survey Research (1st ed., pp. 481–500). Wiley. https://doi.org/10.1002/9781119083771.ch24

Working papers and other research

  1. Cernat, A. & Keusch, F. (2022). Do surveys change behaviour? Evidence from digital trace data. Significance
  2. Cernat, A. & Sakshaug, J. W. (2021). Understanding the role of nurses and interviewers in biosocial surveys. Significance.
  3. Cernat, A. , Sakshaug, J. W. & Castillo, J. (2019). Measurement error Skin colour and the role of the interviewer. Significance, 16: 10-11.
  4. Benzeval, M., Bianchi, A., Brewer, M., Burton, J., Cernat, A., Creighton, M., Crossley, T., Delavande, A., Fisher, P., Gaia, A., Jäckle, A., Jamal, J., Oberski, D., Popham, F., Whitley, E., Winter, J. and Zafar, B. (2017). Understanding Society Innovation Panel Wave 9: results from methodological experiments. Understanding Society Working Paper Series.
  5. Creighton, M., Dykema, J., Gaia, G., Cernat, A., Garbarski, D., Jamal, A., Kaminska, O., Keusch, F., Lynn, P., Oberski, D., Schaeffer, N.C., Uhrig, N. and Yan, T. (2016). Understanding Society Innovation Panel Wave 8: results from methodological experiments. Understanding Society Working Paper Series, (2016-02), 145.
  6. Cernat, A. (2015). Using equivalence testing to disentangle selection and measurement in mixed modes surveys. Understanding Society Working Paper Series, (2015-01), 113.
  7. Blom, A., Burton, J.,  Booker, C., Cernat, A., Fairbrother, M., Jäckle, A., Kaminska, O., Keusch, F., Krosnick, J., Lynn, P., Oberski, D., Pudney, S., Sala, E., Schnettler, S., Silber, H., Stark, S., Uhrig, N and Yan, T. (2015). Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments. Understanding Society Working Paper Series, (2015-03), 162.
  8. Tarek, A.B. and Cernat, A. (2015). A Methodological Critique of the Dignity in Dying – Populus Poll of March 2015.
  9. Cernat, A. et al. (2012) Romania country report. In G. Extra and K. Yagmur (Eds.) Language Rich Europe. Trends in Policies and Practices for Multilingualism in Europe (pp. 187-193). Cambridge University Press.
  10. Stoica, A., Wamsiedel, A., Cernat, A. and Gheorghiu, I. (2012) – Inequality and Inequality: Teacher Absenteeism, Romani Pupils, and Primary Schools in Romania, Roma Education Fund, Budapest.
  11. Vlasceanu, L. (ed.), Dusa, A. (ed.), Rughinis, A. (ed.) (2010) – Science and Society. Interests and perceptions of the public regarding scientific research and scientific results. Bucharest.
  12. Dumitru, D. and Cernat, A. (2010) – ’National survey of parents in Romania. In School Governance and Social Inclusion Involvement of Parents’. South East Europe Countries Accounts of the Parents Views (pp. 65-69), University of Ljubljana, Faculty of Education, Center for Educational Policy.