Multivariate Analysis Is Appropriate for a Quantitative Essay

multivariate analysis is appropriate for a quantitative study. Conclude your posting by describing your personal interests in one of the multivariate statistical tests and its potential usefulness to you in future research.

The question of whether to use a multivariate vs. univariate or bivariate statistical tests is rather straightforward. Multivariate statistics provide analyses in cases where there are more than one independent variable and/or more than one dependent variable (Tabachnick & Fidell, 2012). Univariate analyses are statistical tests that involve one variable, whereas bivariate tests/statistics involve two variables such as a Pearson correlation coefficient (Runyon, Coleman, & Pittenger, 2000). It is certainly possible to do many different univariate or even bivariate analyses in the place of a multivariate one; however, the researcher loses statistical power, increases the probability of a TType I error, and is unable to determine all of the relationships in the data that can be analyzed with a multivariate analysis (Tabachnick & Fidell, 2012).Multivariate statistics are extension of univariate and bivariate statistics and represent the general case, whereas univariate and bivariate statistics are special cases of the multivariate model (Tabachnick & Fidell, 2012). Multivariate statistics allow for the simultaneous analyzing of multiple dependent and/or independent variables thus allowing aforementioned advantages in addition to representing real -- world models more accurately where numerous variables often contribute to an outcome or observation (Runyon, Coleman, & Pittenger, 2000).

It is important to note that all of the different types of multivariate statistical techniques have limitations and guidelines as to their use and application. Thus, while multivariate statistical techniques allow for greater freedom in research design and analysis they do not allow the researcher to analyze a limitless number of variables, ignore the restrictions of the data (e.g.,….....