Advanced Quantitative Research Methods Essay Example | Topics and Well Written Essays - 2000 words

Advanced Quantitative Research Methods - Essay ExampleFor example, analysis of variance system is applied, in general, statistical difference rather than distinct difference of the research mean (Hox 2010, 35). It is worth noting that, at zero magnetic declination, all(a) the values measured are regarded to identical even through variance always maintains a non-negative value. Therefore, as the ANOVA order is used to analyze the difference between several or a iodin variable, a small variance obtained in the statistical significance difference illustrates that the values or data points obtained are very close to the expected mean. Similarly, High statistical significance difference data points prune that the data values obtained in the research penetrate out from each other or spread around the mean (Woodward 2014, 210).On a broad aspect, the variance is usually divided into various components by utilizing ANOVA method that is then attributed to various types of variations in different sources of the variations obtained. In simple words, ANOVA method has its origin in experimental studies. However, ANOVA method uses four basic assumption that errors obtained in the statistical data analysis are normally distributed and independent (Salkind, Neil 2010, 34). In addition, it is always assumed that, all variance errors are equal, and the expected statistical values of the errors obtained are equal to zero. In simple terms, the ANOVA method produces a statistical test that determines as to whether the mean obtained from several tested groups are equal or whether they are not equal thereby providing a generalized t-test for more than two evaluated groups. In this regard, ANOVA method is used in providing a comparative test for more variables for the purpose of estimating a accredited statistical significance (Myers, Jerome 2010, 271).ANOVA method is a very powerful parametric and inferential statistic proficiency that can find differences or reject a null hyp othesis among