Structural Equation Modeling Using AMOS

Structural Equation Modeling Using AMOS

Professional Development

10 Qs

quiz-placeholder

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Structural Equation Modeling Using AMOS

Structural Equation Modeling Using AMOS

Assessment

Quiz

Computers

Professional Development

Hard

Created by

Richa Mittal

Used 3+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

AMOS allows for model modification indices (MMI), which are used to

Assess the overall fit of the model

Identify specific areas of the model that can be improved

Calculate standardized path coefficients

Test for measurement invariance

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The concept of "exogenous" variables in SEM refers to variables that are:

Measured using multiple indicators

Caused by other variables in the model

Predicted by other variables in the model

Not influenced by any other variables in the model

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When estimating a model in AMOS, the Maximum Likelihood (ML) estimation method is commonly used for:

Categorical data

Ordinal data

Continuous data

Missing data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In SEM, a mediation effect occurs when:

Two variables have a direct relationship

A third variable explains the relationship between two other variables

The model does not fit the data well

The path coefficients are equal to zero

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following fit indices in AMOS indicates a good fit between the model and the data?

Chi-square test

RMSEA (Root Mean Square Error of Approximation)

p-value

Standardized residuals

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The term "factor loading" in SEM refers to:

The correlation between latent variables

The regression coefficient in a path model

The relationship between an observed variable and its latent variable

The standardized effect size

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A measurement model in SEM is used to:

Determine the relationships between latent variables

Specify the indicators for each latent variable

Test for mediation effects

Calculate goodness-of-fit indices

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