[1. American Association for Public Opinion Research (2015), “Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys”, available at http://www.aapor.org/AAPOR_Main/media/publications/Standard-Definitions2015_8theditionwithchanges_April2015_logo.pdf (27 January 2016)]Search in Google Scholar
[2. Bethlehem, J. (2009). Applied Survey Methods: A Statistical Perspective, Hoboken, John Wiley & Sons.10.1002/9780470494998]Search in Google Scholar
[3. Bricker, J. (2014). Survey Incentives, Survey Effort, and Survey Costs. FEDS Working Paper No. 2014-74, Washington, pp. 1-36.]Search in Google Scholar
[4. Cochran, W. G. (1977). Sampling Techniques, New York, John Wiley and Sons.]Search in Google Scholar
[5. Daniel, J. (2012). Sampling Essentials: Practical Guidelines for Making Sampling Choices, Thousand Oaks, California, SAGE Publications.10.4135/9781452272047]Search in Google Scholar
[6. de Leeuw, E. D. (2005), “To Mix or Not to Mix Data Collection Modes in Surveys”, The Journal of Official Statistics, Vol. 21, No. 2, pp. 233-255.]Search in Google Scholar
[7. Dillman, D. A. (1991), “The Design and Administration of Mail Surveys”, Annual Review of Sociology, Vol. 17, pp. 225-249.10.1146/annurev.so.17.080191.001301]Search in Google Scholar
[8. Gonzalez, J. M., Eltinge, J. L. (2010), “Optimal Survey Design: A Review”, available at http://www.bls.gov/osmr/pdf/st100270.pdf (27 January 2016)]Search in Google Scholar
[9. Groves, R. M. (1989). Survey Errors and Survey Costs, New Jersey, John Wiley & Sons.10.1002/0471725277]Search in Google Scholar
[10. Groves, R. M., Fowler, F. J., Couper, M. P., Lepkowski, J. M., Singer, E., Tourangeau, R. (2004). Survey Methodology. Hoboken, New Jersey, John Wiley & Sons.]Search in Google Scholar
[11. Groves, R. M., Heeringa, S. G. (2006), “Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs”, Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 169, No. 3, pp. 439-457.10.1111/j.1467-985X.2006.00423.x]Search in Google Scholar
[12. Humphreys, C. P. (1979), “The cost of sample survey designs”, Proceedings Section on Survey Research Methods, American Statistical Association, pp. 395-400.]Search in Google Scholar
[13. Karr, A. F., Last, M. (2006), “Survey Costs: Workshop Report and White Paper”, Technical Report Number 161, September 2006, National Institute of Statistical Sciences, pp. 1-22.]Search in Google Scholar
[14. Kish, L. (1995). Survey Sampling, New York, John Wiley & Sons.]Search in Google Scholar
[15. Krosnick, J. A., Presser, S., Fealing, K. H., Ruggles, S. (2015), “The Future of Survey Research: Challenges and Opportunities”, available at http://www.nsf.gov/sbe/AC_Materials/The_Future_of_Survey_Research.pdf (27 January 2016)]Search in Google Scholar
[16. Leon, E. A., Perez, A.M., Stevenson, M.A., Robiolo, B., Mattion, N., Seki, C., La Torre, J., Torres, A., Cosentino, B., Duffy, S. J. (2014), “Effectiveness of systematic foot and mouth disease mass vaccination campaigns in Argentina”, Scientific and Technical Review, Vol. 33, No. 3, pp. 917-926.10.20506/rst.33.3.2329]Search in Google Scholar
[17. Levy, P. S., Lemeshow, S. (2008). Sampling of Populations: Methods and Applications, Hoboken, John Wiley & Sons.10.1002/9780470374597]Search in Google Scholar
[18. Schonlau, M., Fricker, R. D., Elliott, M. N. (2002). Conducting Research Surveys via E-mail and the Web, Santa Monica, RAND Corporation.]Search in Google Scholar
[19. van Breukelen, G. J., Candel, M. J. (2012), “Calculating sample sizes for cluster randomized trials: we can keep it simple and efficient!”, Journal of clinical epidomology, Vol. 65, No. 11, pp. 1212-1218.10.1016/j.jclinepi.2012.06.002]Search in Google Scholar
[20. Varberg, D., Purcell, E. J. (1997). Calculus, New Jersey, Prentice Hall.]Search in Google Scholar
[21. Žmuk, B. (2013), “The Relevance of Statistical Methods Application to Business Performance of Enterprises”, doctoral thesis, Zagreb, Faculty of Economics and Business.]Search in Google Scholar
[22. Žmuk, B. (2015a), “Business Sample Survey Measurement on Statistical Thinking and Methods Adoption: the Case of Croatian Small Enterprises”, Interdisciplinary description of complex systems, Vol. 13, No. 1, pp. 154-166.10.7906/indecs.13.1.14]Search in Google Scholar
[23. Žmuk, B., (2015b), “The impact of intracluster homogeneity on the survey costs: A Croatian business survey”, Proceedings of the 13th International Symposium on Operational Research SOR’15 (Editors: Zadnik Stirn, L., Žerovnik, J., Kljajić Borštnar, M., Drobne, S.), Bled, Slovenia, September 23-25, 2015, Ljubljana: Slovenian Society Informatika, Section for Operational Research, pp. 329-334.]Search in Google Scholar