Final Study Guide Q5 Flashcards
Quantitative analysis. What is the type of quantitative analysis that considers two variables simultaneously?
Multivariate analysis (MVA) is a Statistical procedure for analysis of data involving more than one type of measurement or observation.
What is the difference between univariate and bivariate analysis?
Univariate statistics summarize only one variable at a time. Bivariate statistics compare two variables. Multivariate statistics compare more than two variables.
Which type does a frequency table represent?
Any?
Univariate
Which type does a cross-tabulation (or contingency) table represent?
Multivariate
In measuring bivariate associations, what is the metric appropriate for either interval or ratio level data analysis?
Corellation
Percentage
In measuring bivariate associations, what is the metric appropriate for either interval or ratio level data analysis?
What is lambda, gamma, and Pearson’s r?
allow for a test of significance and a measure of association.
Lambda, gamma, and correlation coefficients (Pearson’s r) are a class of statistics that demonstrate the correlation between the variables of different scales.
In measuring bivariate association, what is the appropriate metric for nominal level data analysis?
The mode is the least used of the measures of central tendency and can only be used when dealing with nominal data. For this reason, the mode will be the best measure of central tendency (as it is the only one appropriate to use) when dealing with nominal data.
What is it for ordinal data?
Rank order
What is it for interval level data?
means and standard deviations.
What are multivariate analysis techniques?
Dependence techniques, which look at cause-and-effect relationships between variables, and interdependence techniques, which explore the structure of a dataset.
What do they allow us to do?
What is the logic of controls?
A control variable is the factor that ensures that the test results can be compared fairly and that they aren’t skewed.
