Informacijos šaltiniai

Agresti A., Coull B.A. Approximate Is Better than "Exact" for Interval Estimation of Binomial Proportions, The American Statistician 52(2): 119–126 (1998). DOI: 10.1080/00031305.1998.10480550.

Albers C., Lakens D. When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias, Journal of Experimental Social Psychology 74: 187–195 (2018). DOI: 10.1016/j.jesp.2017.09.004.

Bagdonavičius V., Kruopis J.J. Matematinė statistika I. Vilnius: Vilniaus universiteto leidykla (2015). Prieiga per internetą: http://www.statistika.mif.vu.lt/wp-content/uploads/2014/04/Bagdo_Kruop_Matem_stat_1dalis_2015.pdf.

Bergsma W. A bias-correction for Cramér’s V and Tschuprow’s T, J. Korean Stat. Soc. 42(3): 323–328 (2013). DOI: 10.1016/j.jkss.2012.10.002.

Brightwell B., Dransfield B. Bootstrap confidence intervals (2013). Prieiga per internetą: http://influentialpoints.com/Training/bootstrap_confidence_intervals-principles-properties-assumptions.htm.

Brown L.D., Cai T.T., DasGupta A. [Interval Estimation for a Binomial Proportion]: Rejoinder, Statistical Science 16(2): 128–133 (2001). DOI: 10.1214/ss/1009213286.

Brown M.B., Forsythe A.B. Robust Tests for the Equality of Variances, Journal of the American Statistical Association 69(346): 364–367 (1974). DOI: 10.1080/01621459.1974.10482955.

Čekanavičius V., Murauskas G. Statistika ir jos taikymai I. Vilnius: TEV (2006).

Čekanavičius V., Murauskas G. Statistika ir jos taikymai II. Vilnius: TEV (2004).

Čekanavičius V., Murauskas G. Taikomoji regresinė analizė socialiniuose tyrimuose. Vilnius: Vilniaus universiteto leidykla (2014). Prieiga per internetą: http://www.statistika.mif.vu.lt/wp-content/uploads/2014/04/regresine-analize.pdf.

Clapham M.E. 9: Shapiro-Wilk test (2016). Prieiga per internetą: https://youtu.be/dRAqSsgkCUc.

Cohen J. Statistical power analysis for the behavioral sciences.Routledge (1988).

Cornell B. Chi Squared Test. (2016). Prieiga per internetą: https://ib.bioninja.com.au/higher-level/topic-10-genetics-and-evolu/102-inheritance/chi-squared-test.html.

Durlak J.A. How to Select, Calculate, and Interpret Effect Sizes, Journal of Pediatric Psychology 34(9): 917–928 (2009). DOI: 10.1093/jpepsy/jsp004.

Efron B. Better Bootstrap Confidence Intervals, Journal of the American Statistical Association 82(397): 171–185 (1987). DOI: 10.1080/01621459.1987.10478410.

Efron B. Bootstrap Methods: Another Look at the Jackknife, Ann. Statist. 7(1): 1–26 (1979). DOI: 10.1214/aos/1176344552.

Field A. An Adventure in Statistics: The Reality Enigma. London: Sage (2016). Prieiga per internetą: https://us.sagepub.com/en-us/nam/discovering-statistics/book237529.

Field A., Miles J., Field Z. Discovering Statistics Using R. London: Sage (2012). Prieiga per internetą: https://us.sagepub.com/en-us/nam/discovering-statistics-using-r/book236067.

Fisher R.A. Steps of the Scientific Method, 10 (1940). DOI: 10.1111/j.1469-1809.1940.tb02264.x.

Fisher R.A. The Analysis of Covariance Method for the Relation between a Part and the Whole, Biometrics 3(2): 65 (1947). DOI: 10.2307/3001641.

Glaz J., Sison C.P. Simultaneous confidence intervals for multinomial proportions, Journal of Statistical Planning and Inference 82(1): 251–262 (1999). DOI: https://doi.org/10.1016/S0378-3758(99)00047-6 .

Goodman L.A. On Simultaneous Confidence Intervals for Multinomial Proportions, Technometrics 7(2): 247–254 (1965). DOI: 10.2307/1266673.

Hesterberg T., Moore D.S., Monaghan S., Clipson A., Epstein R., Craig B.A., McCabe G.P. Chapter 16: Bootstrap Methods and Permutation Tests. Introduction to the Practice of Statistics. New York: W.H. Freeman; Co. (2017). Prieiga per internetą: https://www.macmillanlearning.com/studentresources/college/statistics/ips9e/companionchapters/companionchapter16.pdf.

Ialongo C. Understanding the effect size and its measures, Biochemia Medica: 150–163 (2016). DOI: 10.11613/BM.2016.015.

Jackson M. An interactive stats flowchart / decision tree to help you choose an appropriate statistical test. (2016). Prieiga per internetą: http://www.statsflowchart.co.uk/.

Janilionis V., Morkevičius V., Rauleckas R. Statistinė kiekybinių duomenų analizė su SPSS ir STATA. Kaunas: Kauno technologijos universitetas (2008). Prieiga per internetą: http://www.lidata.eu/files/mokymai/stat/Statistika_galutine_redakcija.pdf.

Kahn J. Reporting Statistics in APA Style (2010). Prieiga per internetą: https://my.ilstu.edu/~jhkahn/apastats.html.

Lang T.A., Altman D.G. Basic statistical reporting for articles published in Biomedical Journals: The „Statistical Analyses and Methods in the Published Literature“ or the SAMPL Guidelines, Int. J. Nurs. Stud. 52(1): 5–9 (2015). DOI: 10.1016/j.ijnurstu.2014.09.006.

Leek J.T., Peng R.D. What is the question?, Science 347: 1314–1315 (2015). DOI: 10.1126/science.aaa6146.

Levene H. Robust tests for equality of variances. Olkin I. ir kt., sud. Contributions to Probabilityand Statistics: Essays in Honor of Harold Hotelling. Menlo Park, CA: StanfordUniversity Press. (1960).

Mangiafico S.S. Association Tests for Nominal Variables. Summary and Analysis of Extension Program Evaluation in R. New Brunswick, NJ: Rutgers Cooperative Extension. (2016a). Prieiga per internetą: https://rcompanion.org/handbook/H_04.html.

Mangiafico S.S. Chi-square Test of Goodness-of-Fit. An R Companion for the Handbook of Biological Statistics. New Brunswick, NJ: Rutgers Cooperative Extension. (2015a). Prieiga per internetą: https://rcompanion.org/rcompanion/b_03.html.

Mangiafico S.S. Exact Test of Goodness-of-Fit. An R Companion for the Handbook of Biological Statistics. New Brunswick, NJ: Rutgers Cooperative Extension. (2015b). Prieiga per internetą: https://rcompanion.org/rcompanion/b_01.html.

Mangiafico S.S. G–test of Goodness-of-Fit. An R Companion for the Handbook of Biological Statistics. New Brunswick, NJ: Rutgers Cooperative Extension. (2015c). Prieiga per internetą: https://rcompanion.org/rcompanion/b_04.html.

Mangiafico S.S. Measures of Association for Nominal Variables. Summary and Analysis of Extension Program Evaluation in R. New Brunswick, NJ: Rutgers Cooperative Extension. (2016b). Prieiga per internetą: http://rcompanion.org/handbook/H_10.html.

Martišius S.A., Kėdaitis V. Statistika. 1 dalis. Statistinės analizės teorija ir metodai. Vilnius: Vilniaus universiteto leidykla (2013).

McDonald J.H. Chi-square test of goodness-of-fit. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014a). Prieiga per internetą: http://www.biostathandbook.com/chigof.html.

McDonald J.H. Chi-square test of independence. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014b). Prieiga per internetą: http://www.biostathandbook.com/chiind.html.

McDonald J.H. Choosing a statistical test. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014c). Prieiga per internetą: http://www.biostathandbook.com/testchoice.html.

McDonald J.H. Confounding variables. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014d). Prieiga per internetą: http://www.biostathandbook.com/confounding.html.

McDonald J.H. Data transformations. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014e). Prieiga per internetą: http://www.biostathandbook.com/transformation.html.

McDonald J.H. Exact test of goodness-of-fit. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014f). Prieiga per internetą: http://www.biostathandbook.com/exactgof.html.

McDonald J.H. Fisher’s exact test of independence. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014g). Prieiga per internetą: http://www.biostathandbook.com/fishers.html.

McDonald J.H. G–test of goodness-of-fit. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014h). Prieiga per internetą: http://www.biostathandbook.com/gtestgof.html.

McDonald J.H. G–test of independence. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014i). Prieiga per internetą: http://www.biostathandbook.com/gtestind.html.

McDonald J.H. Homoscedasticity and heteroscedasticity. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014j). Prieiga per internetą: http://www.biostathandbook.com/homoscedasticity.html.

McDonald J.H. Normality. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014k). Prieiga per internetą: http://www.biostathandbook.com/normality.html.

McDonald J.H. Step-by-step analysis of biological data. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014l). Prieiga per internetą: http://www.biostathandbook.com/analysissteps.html.

McDonald J.H. Types of biological variables. Handbook of Biological Statistics. Baltimore, Maryland: Sparky House Publishing. (2014m). Prieiga per internetą: http://www.biostathandbook.com/variabletypes.html.

McLeod S. Experimental Design (2017). Prieiga per internetą: https://www.simplypsychology.org/experimental-designs.html.

Minitab 21 Support What are the Goodman-Kruskal statistics? (2021). Prieiga per internetą: https://support.minitab.com/en-us/minitab/21/help-and-how-to/statistics/tables/supporting-topics/other-statistics-and-tests/what-are-the-goodman-kruskal-statistics/.

Mordkoff J.T. A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared, Advances in Methods and Practices in Psychological Science 2(3): 228–232 (2019). DOI: 10.1177/2515245919855053.

NIST/SEMATECH 1.3.5.10. Levene Test for Equality of Variances. e-Handbook of Statistical Methods (Engineering Statistics Handbook). (2012a). Prieiga per internetą: https://www.itl.nist.gov/div898/handbook/eda/section3/eda35a.htm.

NIST/SEMATECH 1.3.5.7. Bartlett’s Test. e-Handbook of Statistical Methods (Engineering Statistics Handbook). (2012b). Prieiga per internetą: https://www.itl.nist.gov/div898/handbook/eda/section3/eda357.htm.

NIST/SEMATECH 1.3.5.8. Chi-Square Test for the Variance. e-Handbook of Statistical Methods (Engineering Statistics Handbook). (2012c). Prieiga per internetą: https://www.itl.nist.gov/div898/handbook/eda/section3/eda358.htm.

NIST/SEMATECH 1.3.5.9. F-Test for Equality of Two Variances. e-Handbook of Statistical Methods (Engineering Statistics Handbook). (2012d). Prieiga per internetą: https://www.itl.nist.gov/div898/handbook/eda/section3/eda359.htm.

Peternelli L.A., Resende M.D.V. de Experimental Designs for Next Generation Phenotyping. Phenomics. Cham: Springer International Publishing. (2015). DOI: 10.1007/978-3-319-13677-6_2.

sciencebuddies.org Steps of the Scientific Method (2020). Prieiga per internetą: https://www.itl.nist.gov/div898/handbook/.

Shapiro S.S., Wilk M.B. An analysis of variance test for normality (complete samples), Biometrika 52(3-4): 591–611 (1965). DOI: 10.1093/biomet/52.3-4.591.

Sison C.P., Glaz J. Simultaneous Confidence Intervals and Sample Size Determination for Multinomial Proportions, Journal of the American Statistical Association 90(429): 366–369 (1995). DOI: 10.1080/01621459.1995.10476521.

Smith M.J. de, Goodchild M.F., Longley P.A. Geospatial Analysis: A Comprehensive Guide to Principles Techniques and Software Tools.The Winchelsea Press (2018). Prieiga per internetą: http://www.spatialanalysisonline.com/HTML/.

Sprouts The Scientific Method: Steps, Examples, Tips, and Exercise (2017). Prieiga per internetą: https://youtu.be/yi0hwFDQTSQ.

Stamatopoulos C. General Sampling Considerations. Sample-based fishery surveys: A technical handbook. Rome: Food; Agriculture Organization of the United Nations. (2002). Prieiga per internetą: https://www.fao.org/3/y2790e/y2790e05.htm#bm05.

Tomczak M., Tomczak E. The need to report effect size estimates revisited. An overview of some recommended measures of effect size, Trends in Sport Sciences 21: 19–25 (2014). Prieiga per internetą: http://tss.awf.poznan.pl/files/3_Trends_Vol21_2014__no1_20.pdf.

Venclovienė J. Statistiniai metodai medicinoje. Kaunas: Vytauto didžiojo universitetas (2010). Prieiga per internetą: https://www.vdu.lt/cris/bitstream/20.500.12259/271/1/ISBN9789955125587.pdf.

Wickham H. Tidy Data, Journal of Statistical Software 59(10) (2014). DOI: 10.18637/jss.v059.i10.

Wild C.J., Pfannkuch M. Statistical Thinking in Empirical Enquiry, International Statistical Review 67(3): 223–248 (1999). DOI: 10.1111/j.1751-5823.1999.tb00442.x.

Wilk M.B., Gnanadesikan R. Probability plotting methods for the analysis for the analysis of data, Biometrika 55(1): 1–17 (1968). DOI: 10.1093/biomet/55.1.1.

Wilson E.B. Probable Inference, the Law of Succession, and Statistical Inference, Journal of the American Statistical Association 22(158): 209–212 (1927). DOI: 10.1080/01621459.1927.10502953.

Zimmerman D.W. A note on preliminary tests of equality of variances, Br. J. Math. Stat. Psychol. 57(1): 173–181 (2004). DOI: 10.1348/000711004849222.