Question

11. Quantitative variables are also referred to as continuous or interval variables. 12. Categorical variables consist of separate, indivisible categories. 13. Categorical variables may also be refered to as nominal, ordinal, discrete, or qualitativ 14. A dichotomous variable is one that has only two possible levels or categories 15. Age is a quantitative variable, but one could recode the values so that it would be transformed into a dichotomous variable 16. When conducting a multivariate analysis, the best recommendation is to obtain the solution with the largest number of variables. 17. The mathematical calculations involved in multivariate statistical analyses are performed only on a correlation matrix. 18. Orthogonality is perfect association between variables. 19. Orthogonality is not a desirable quality for multivariate statistical analyses. 20. Having a data set with orthogonal variables is not the ideal situation. 21. When variables are correlated, they have overlapping, or shared, variance 22. Using a standard analysis approach, the overlapping portion of variance is included in the overall summary statistics of the relationship of the set of IVS to the DV, but that portion is not assigned to either of the IVs as part of their individual contribution 23. The sequential nalysis requires the rescarcher to prionitize the entry of I Vs into the equation or solution.

Answer 1

11. False.

Quantitative variables are also referred to as numerical variables. Quantitative variables are further divided into discrete and continuous variables. Continuous variables are further divided into interval and ratio variables. So, quantitative variables are not referred to as continuous or interval variables but continuous and interval variables are quantitative variables along with discrete and ratio variables.

12. True.

Categorical variable has two or more categories that are separate and indivisible.

13. False.

Categorical variable is also referred to as qualitative variable which can be divided into nominal and ordinal variables but not discrete variable because discrete variable is a quantitative variable, not categorical.

14. True.

A dichotomous variables is a nominal variable that has only two possible levels or categories such as male/female; under 40 years of age/over 40 years of age; etc,.

15. True.

Though age is a numerical variable, depending on the context, it can be transformed into a dichotomous variable such as over 60 years and under 60 years of age.