MUED 6440 Ch. 2

Question 1

A statistical technique that is used to determine the existence of relationships between two different variables (i.e., X and Y). It shows how much X will change when there is a change in Y

Answer 1

Bivariate correlation

Question 2

Analysis of two variables to establish the strength of the relationship between them; the two variables are frequently denoted as X and Y, with one being an independent variable (or explanatory variable), while the other is a dependent variable (or outcome variable)

Answer 2

Bivariate regression

Question 3

A discrete variable with only two possible values

Answer 3

Dichotomous variable

Question 4

A technique used to analyze data when the DV is categorical and the IV is interval

Answer 4

Discriminant analysis

Question 5

A mathematical model that is created, resulting in the estimation of factors; contrast with principal components analysis

Answer 5

Factor analysis

Question 6

A test between two or more categorical IVs as it analyzes variation between and within each group while controlling for a covariate

Answer 6

Factorial analysis of covariance (factorial ANCOVA)

Question 7

A test between two or more categorical IVs as it analyzes variation between and within each group

Answer 7

Factorial analysis of variance (factorial ANOVA)

Question 8

A test between two or more categorical IVs as it analyzes variation between and within each group and two or more DVs while controlling for a covariate

Answer 8

Factorial multivariate analysis of covariance (factorial MANCOVA)

Question 9

A test between two or more categorical IVs as it analyzes variation between and within each group and two or more DVs

Answer 9

Factorial multivariate analysis of variance (factorial MANOVA)

Question 10

A technique used to analyze data when the DV is dichotomous and the IV is interval

Answer 10

Logistic regression

Question 11

A test that identifies the best combination of predictors (IVs) of the dependent variable

Answer 11

Multiple regression

Question 12

A test between two or more means as it analyzes variation between and within each group while controlling for a covariate

Answer 12

One-way analysis of covariance (one-way ANCOVA)

Question 13

A test between two or more means as it analyzes variation between and within each group

Answer 13

One-way analysis of variance (one-way ANOVA)

Question 14

A test between two or more means as it analyzes variation between and within each group and two or more DVs while controlling for a covariate

Answer 14

One-way multivariate analysis of covariance (one-way MANCOVA)

Question 15

A test between two or more means as it analyzes variation between and within each group and two or more DVs

Answer 15

One-way multivariate analysis of variance (one-way MANOVA)

Question 16

A method of analyzing correlations among a set of variables in order to examine the pattern of causal relationships; usually depicted with a path diagram including arrows showing the direction of causation among variables

Answer 16

Path analysis

Question 17

Most common for extracting factors in factor analysis; original variables are transformed into a new set of linear combinations by extracting the maximum variance from the data set with each component; results in components; contrast with factor analysis

Answer 17

Principal components analysis

Question 18

The most basic statistical test that measures group differences

Answer 18

t test