Analyze and critique of another student's discussion on uni-variate and multivariate statistics

DIRECTIONS:

After reading the following student’s discussion, you are to offering your analysis of their plan to make the univariate study into a multivariate study. Be sure to support your critique with specific reasons and examples.

Jamila Ajanku-Willie

U1D2-Comparing Univariate and Multivariate Statistics-J. Ajanku-Willie

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Comparing Univariate and Multivariate Statistics

This post will define multivariate statistical analysis; discuss the similarities and differences between univariate and multivariate statistics; offer an example where a specific univariate method would apply, describing the variable(s); and finally, transform the univariate study into a corresponding multivariate study.

Definition of Multivariate Statistical Analysis

Multivariate statistical analysis includes any of numerous methods that provide examination of more than three variables simultaneously and utilizes designs that consist of more than one independent variable, more than one dependent variable, or both (Vogt, 2005).

Similarities and Differences

Univariate and multivariate statistics both compare means of quantitative variables (Warner, 2013). The difference is that univariate as suggested by the name assumes the outcome is impacted by only one (uni) factor, while multivariate assumes the outcome(s) is a result of multiple factors.

Univariate Analysis Example

An example of a study where a univariate analysis might apply is in assessing how sex education (independent variable) influences teen pregnancy rate (dependent variable).

Multivariate Analysis Example

Using the same variables mentioned above, the researcher might assume that the teen pregnancy rate maybe influenced by both sex education and age. By including another independent variable, such as age, this analysis changes from univariate to multivariate.

References:

Vogt, W. P. (2005). Dictionary of statistics & methodology : SAGE Publications Ltd doi: 10.4135/9781412983907

Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage.

 

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