Analysis of Variance (ANOVA) is a statistical technique that is instrumental in assessing the potential difference in a scale-level dependent variable by a nominal-level variable that possesses two or more variables. A repeated measure ANOVA defines a one-way ANOVA for related groups and is the dependent test extension.
Hahn and Salmaso (2017) utilized ANOVA designs to make a comparison of various samples. It is noted that parametric ANOVA approach assumes a normally distribution error margin within the confines of subsamples. Permutation tests for instance, synchronized permutation tests are mathematically involving and distribution free procedures. The ANOVA used was logical, used two independent variables, produced an apparent show of relationship between the variables, and are statistically significant. The method remains valid and statistically significant with a minimal margin of error in the test hypothesis.
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Levy and Ellis (2016) used ANOVA designs to support a systematic approach to conduct an efficient literature review that endorses information systems research. The use of a two-way ANOVA was logical. The study utilized two independent variables; ranked/no-ranked IS conferences versus the literature vendor to ascertain the relationship. The design influenced the outcome and verified its validity based on the test hypothesis achieved.
Mulder and Wagenmakers (2016) used repeated measures ANOVA to perform an analysis of data from a pretest-posttest design. It was not logical since the statistical results could easily be misinterpreted. The underlying analysis used a score model that was not accurate thus influenced the statistical significance that was observed.
Surr, Smith, Crossland and Robins (2016) centred in the focused of a person-centred dementia care training program on the worker's attitude, role efficacy, and perceptions in a hospital set up that take care of individuals with dementia. The repeated measures ANOVA that was used is logical and remained statistically significant. The test measures were immediately filled before starting the training (T1), and that was after completing the foundation level training (T2), and following an intermediate level training (T3).
References
Hahn, S., & Salmaso, L. (2017). A comparison of different synchronized permutation approaches to testing effects in two-level two-factor unbalanced ANOVA designs. Statistical Papers , 58 (1), 123-146.
Levy, Y., & Ellis, T. J. (2016). A systems approach to conduct an effective literature review in support of information systems research. Informing Science , 9 .
Mulder, J., & Wagenmakers, E. J. (2016). Editors’ introduction to the special issue “Bayes factors for testing hypotheses in psychological research: Practical relevance and new developments”. Journal of Mathematical Psychology , 72 , 1-5.
Surr, C. A., Smith, S. J., Crossland, J., & Robins, J. (2016). Impact of a person-centred dementia care training programme on hospital staff attitudes, role efficacy and perceptions of caring for people with dementia: A repeated measures study. International journal of nursing studies , 53 , 144-151.
