Ch12 Key Terms

Question 1

Beta coefficient

Answer 1

A regression coefficient that as been recalculated to have a mean of 0 and standard deviation of 1

Question 2

Bivariate regression analysis

Answer 2

A stats technique that analyzes linear relationships between 2 or more variables by estimating coefficients for an equation for a straight line

Question 3

Coefficient of determination

Answer 3

A numbering measuring the proportion of variation in 1 variable accounted for by another

Question 4

Composite variable

Answer 4

Variable that’s measured with several separate questions

Question 5

Confirmatory composite analysis (CAA)

Answer 5

Analysis that determines whether the variables are accurately measures

Question 6

Covariation

Answer 6

The amount of change in 1 variable that is related to the change of another

Question 7

Curvilinear relationship

Answer 7

Relationship between 2 variables where the strengths / direction of their relationship changes over the range of both

Question 8

Homoskedasticity

Answer 8

The pattern of covariation is constant around the regression line whether values are small, medium or large

Question 9

Heteroskedasticity

Answer 9

The pattern around regression line = not constant, values vary from small, medium and large

Question 10

Inner model

Answer 10

The 5 structural relationships between the 6 constructs in the path model

Question 11

Least square procedure

Answer 11

Regression approach that determines the best-fitting line by minimizing the vertical distance of all the points from the line

Question 12

Linear relationship

Answer 12

An association between 2 variables where the strength remains the same over the range of both variables

Question 13

Model F-statistic

Answer 13

Stats that compares the amount of variation in the dependent measure (explained) associated with the independent variable (unexplained)

Question 14

Multicollinearity

Answer 14

A situation in which several indépendant variables are highly correlated with each other

Question 15

Multiple regression analysis s

Answer 15

Stats technique that analyzes the linear relationship between a dependent variable and multiple independant ones

Question 16

Normal curve

Answer 16

A curve that indicates the shape of the distribution of a variable is equal both above and below the mean

Question 17

Ordinary least squares

Answer 17

Stats procedure that stigmates regression equation coefficients that product the lowest sum of squared differences between the actual and predicted values of the dependent variable

Question 18

Outer model

Answer 18

Relationships between sic constructs and multiple variables

Question 19

Partial least squares (PLS)

Answer 19

A method that is an extension of multiple regression and helps researchers determine whether there are meaningful relationships between the variables

Question 20

Pearson correlation coefficient

Answer 20

A measure of strength of a linear relationship between 2 metric variables

Question 21

Regression coefficient

Answer 21

An indicator of important of an independent variable in predicting a dependent variable

Question 22

Scatter diagram

Answer 22

A graphic plot of the relative position of 2 variables using horizontal and vertical axis

Question 23

Spearman rank order correlation coefficient

Answer 23

A measure of the linear association between 2 variables where both have been measured using ordinal scales (ranking)

Question 24

Structural model

Answer 24

Visual representation of the relationships between the variables

Question 25

Structural modeling (SM)

Answer 25

The process of identifying the relationships between variables

Question 26

Unexplained variable

Answer 26

The amount of variation in the dependent variable that can’t e accounted by the combination of independent variables