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). Quality of life and discriminating power of two questionnaires in fibromyalgia patients: Fibromyalgia Impact Questionnaire and Medical Outcomes Study 36-Item Short-Form Health Survey. Revista Brasileira de Fisioterapia, 4, 284-289 Bennett, R. (2005). The fibromyalgia impact questionnaire (FIQ): A review of its development, current version,operating characteristics and uses. Clin. Exper. Rheumatol., 23 (39), 154-162 Blumenstiel, K., Gerhardt, A., Rolke, R., Bieber, C., Tesarz, J., Friederich, H. C., Eich, W., Treede, R. D. (2011). Quantitative sensory testing profiles in

References Bruun R. S., Hämäläinen J. S., Lappi E. I. And Lesnowicz Jr E. J. (2010). Data Farming with SANDIS Software Applied to Mortar Vehicle Support for Convoys, Scythe, Proceedings of the International Data Farming Workshop 21: 18-21, Lisbon. Creswell J. W. (2003). Research Design - Qualitative, Quantitative and Mixed Methods Approaches, 2003. Eskola, J. and Suoranta, J. Johdatus laadulliseen tutkimukseen, Vastapaino, 1998. Flood R. L. and Carson. E. R. (1993). Dealing with Complexity 2nd ed., Plenum Press. Golafshani N. (2003). Understanding Reliability

References Bryman A., 2006, Integrating quantitative and qualitative research: How is it done?, Qualitative Research, vol. 6, no. 1, pp. 97-113. Chlipała P., 2014, Triangulacja podejść metodologicznych w badaniach naukowych z dziedziny marketingu, Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, no. 336, pp. 39-48. Czakon W., 2009, Mity o badaniach jakościowych w naukach o zarządzaniu, Przegląd Organizacji, no. 9, pp. 13-18. Fisher C.D., To M.L., 2012, Using experience sampling methodology in organizational behavior, Journal of Organizational Behavior, vol

-5823.1997.tb00399.x Bovas, A. (2007). Implementation of statistics in business and industry. Revista Colombiana de Estadistica , 30(1), 1–11. Brezavšček, A., Šparl, P., & Žnidaršič, A. (2017). Factors influencing the behavioural intention to use statistical sftware: The perspective of the Slovenian students of social sciences. Eurasia Journal of Mathematics, Scienec and Technology Education, 13 (3), 953-986. Chamberlain J., M., Hillier, J., & Signoretta, P. (2015). Counting better? An examination of the impact of quantitative method teaching on statistical anxiety and

. Dev., 58: 84–90. Shridhar P.B., Noll L.W., Shi X., An B., Cernicchiaro N., Renter D.G., Nagara-ja T.G., Bai J. (2016). Multiplex quantitative PCR assays for the detection and quantification of the six major non-O157 Escherichia coli serogroups in cattle feces. J. Food. Prot., 79: 66–74. Sinedino L.D., Lima F.S., Bisinotto R.S., Cerri R.L., Santos J.E. (2014). Effect of early or late resynchronization based on different methods of pregnancy diagnosis on reproductive performance of dairy cows. J. Dairy Sci., 97: 4932–4941. Soltan M.A., Wilkes R.P., Elsheery M

. (2017). Central Bank Independence - the Case of the National Bank of Republic of Macedonia. Journal of Central Banking Theory and Practice , 6(3), 35-65. 5. Del Negro, M. and Sims, C. A. (2015). When Does a Central Bank’s Balance Sheet Require Fiscal Support? Journal of Monetary Economics , 73, 1-19. 6. Fabris, N. (2018). Challenges for Modern Monetary Policy. Journal of Central Banking Theory and Practice , 7(2), 5-24. 7. Fujiki, H. and Tomura, H. (2017). Fiscal Cost to Exit Quantitative Easing: the Case of Japan. Japan and the World Economy , 42, 1-11. 8. Hall

International Capital Flows. Journal of International Money and Finance, 68 , 275-297. Barroso, J.B.R., da Silva, L.A.P., Sales, A.S. (2016). Quantitative Easing and Related Capital Flows into Brazil: Measuring its Effects and Transmission Channels Through a Rigorous Counterfactual Evaluation. Journal of International Money and Finance, 67 , 102-122. Bernanke, B.S. (2012). US Monetary Policy and International Implications. Board of Governors of the Federal Reserve System. Speech at the “Challenges of the Global Financial System: Risks and Governance under Evolving

review and meta-analysis of a diagnostic test.” Hepatol Int. 2015; 9: 558-66 6. Gheorghița V. et al.“Quantitative serum HBsAg in chronic hepatitis B.” Therapeutics, Pharmacology and Clinical Toxicology. 2012; 16 (3): 155-162. 7. LiawYF. “Clinical Utility of Hepatitis B surface Antigen Quantitation in Patients with Chronic Hepatitis B: A Review.” Hepatology. 2011; 53: 2121-2129. 8. Chevaliez S: “Is HBsAg quantification ready for prime time?” Clin Res Hepatolo Gastroenterol. 2013; 37: 559-63. 9. Loggi E, Vitale G., Conti F., Bernardi M. “Chronic hepatitis B: Are we close

the genetic management of captive populations. Conservation Biology 6: 416-425. BURLEY, J. and A. F. A. LAMB (1971): Status of the C.F. I. International provenance trial of Cedrela odorata (including C. mexicana and C. tubiflora). Commonwealth Forestry Review 50: 234-237. BUTLIN, R. K. and T. TREGENZA (1998): Levels of genetic polymorphism: marker loci versus quantitative traits. Proceedings of the Royal Society of London B. 358: 187-198. CAVERS, S., C. NAVARRO and A. J. LOWE (2003): A combination of molecular markers identifies evolutionarily significant units in


The authors of the article pay their attention to the lack of a generally accepted classification of the cartographic presentation methods. The classification, which was described in the Ratajski’s handbook (1989) in the mostly extensive way, is commonly used in the Polish literature. According to the authors, it would be appropriate to modify one of the types of symbols (quantitative ones) as an independent method of data presentation at the quantitative level, in addition to the method of diagram, choropleth, dot method and isoline one.