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Full texts:

77-90

published

2022

author

- University of Nigeria, Department of Statistics, Nigeria

author

- University of Nigeria, Department of Statistics, Nigeria

author

- Alex Ekwueme Federal University Ndufu Alike Ikwo, Department of Mathematics/Computer Science/Statistics and Informatics, Nigeria

- Berry, K., Johnston, J., Mielke, P., (2018). Permutation Statistical Methods: A Permutation Statistical Approach, doi: 10.1007/978-3-319-98926-6_2.
- Cohen, J., (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). New Jersey: Lawrence Earlbaum Associates.
- Craig, A. R., Fisher, W. W., (2019). Randomization tests as alternative analysis methods for behavior-analytic data. Journal of the Experimental Analysis of Behavior, 111(2), pp. 309–328.
- Davis, C. S., (2002). Statistical Methods for the Analysis of Repeated Measurements. New York, NY: Springer Publishers.
- Dragset, I. G., (2009). Analysis of longitudinal data with missing values: Methods and Applications in Medical Statistics (Master’s Thesis). Available from Norwegian university of science and technology digital theses database.
- Edgington, E. S., (1995). Randomization Tests (3rd Ed). New York, NY: Marcel Dekker.
- Girden, E. R., (1992). ANOVA: Repeated measures. Sage Publications, Newbury Park, CA.
- Gleason, J., (2013). Comparative power of the ANOVA, randomization ANOVA, And Kruskal-Wallis test (Doctoral Dissertation). Available from Wayne State University Digital Dissertations database.
- Gravetter, F. J., Wallnau, L. B., (2007). Statistics for the behavioral science. Canada: Vicki Knight.
- Howitt, D., Cramer, D., (2011). Introduction to Research Methods in Psychology (3rd ed.). Essex: Pearson Education Limited.
- Kherad-Pajouh, S., Renaud, O., (2014). A general permutation approach for analyzing repeated measures ANOVA and mixed-model designs. Computational Statistics and Data Analysis, 21 (5), pp. 42–59.
- Krueger, C., Tian, L., (2004). A Comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points. Biological Research for Nursing, 6, pp. 151–157.
- Lindman, H. R., (1992). Analysis of Variance in Experimental Design. New York: Springer-Verlag.
- Ma, Y., Mazumdar M., Memtsoudis, S. G., (2012). Beyond repeated-measures analysis of variance: advanced statistical methods for the analysis of longitudinal data in anesthesia research. Regional Anesthesia and Pain Medicine, 37, pp. 99–105.
- Mewhort, D. J. K., (2005). A comparison of the randomization test with the F test when error is skewed. Behavior Research Methods, 37 (3), pp. 426–435.
- Mewhort, D. J. K., Johns, B. T., Kelly, M., (2010). Applying the permutation test to factorial designs. Behavior Research Methods, 42 (2), pp. 366–372.
- Mundry, R., (1999). Testing related samples with missing values: a permutation approach. Animal Behaviour, 58, pp. 1143–1153.
- Oladugba, A. V., Udom, A. U., Ugah, T. E., Ukaegbu, E. C, Madukaife, M. S., Sanni, S. S., (2014). Principles of Applied Statistics. Nsukka: University of Nigeria Press Ltd.
- Peres-Neto, P. R., Olden, J., (2001). Assessing the robustness of randomization tests: examples from behavioral Studies. Animal Behaviour, 61, pp. 79–86.
- Reed III, J., (2003). Analysis of variance (ANOVA) models in emergency medicine. The Journal of Emergency and Intensive Care Medicine, 7(2), pp. 21–34.
- Sawilowsky, S. S., Blair, R. C., Higgins, J. J., (1989). An investigation of the type-I-error and power properties of the rank transformation procedure in factorial ANOVA. Journal of Educational Statistics, 14 (3), pp. 255–267.
- Songwon, S., (2006). A Review and Comparison of Methods for Detecting Outliers in Univariate Data Sets (Master's thesis) available from University of Pittsburgh, Graduate School of Public Health database.
- Vorapongsathorn, T., Taejaroenkul, S., Viwatwongkasem, C., (2004). A comparison of type-I-error and power of Bartlett’s test, Levene’s test and Cochran’s test under violation of assumptions. Songklanakarin Journal of Science and Technology, 26(4), pp. 537–547.
- Zimmerman, D. W., Zumbo, B. D., (1990). Effect of outliers on the relative power of parametric and nonparametric statistical tests. Perceptual and Motor Skills, 71, pp. 339–349.

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