Question 1

In classical test theory, the concept of reliability is used to quantify measurement precision. In IRT, the analogous concept is called _________.

Accepted Answer

A)  measurement correspondence 
B)  discrimination 
C)  information 
D)  theta overlap 
A)  measurement correspondence 
B)  discrimination 
C)  information 
D)  theta overlap C

Question 2

Describe the concept of item parameter invariance.

Accepted Answer

Parameter invariance means that the population that you use to estimate your item parameters does not depend on the underlying population from which those parameters are estimated. This property makes IRT very useful when comparing across different groups. It should be noted, however, that invariance only holds if the underlying assumptions of your IRT model are met (e.g., unidimensionality, local independence).

Question 3

In item response theory models, the underlying latent trait is commonly referred to as ___________.

Accepted Answer

A)  Theta 
B)  Constructs 
C)  Delta 
D)  Omega 
A)  Theta 
B)  Constructs 
C)  Delta 
D)  Omega A

Question 4

What are some key differences between classical test theory and item response theory.

Accepted Answer

Classical test theory is a weak theory,

Question 5

Which of the following is not one of three parameters in the 3PL?

Accepted Answer

A)  discrimination 
B)  difficulty 
C)  guessing 
D)  reflection 
A)  discrimination 
B)  difficulty 
C)  guessing 
D)  reflection

Question 6

How can you decide what is the best IRT model for a particular data set?

Accepted Answer

Two things must be considered: The conce

Question 7

What is a minimum suggested sample size required to do most IRT analyses as suggested by Shultz, Whitney, and Zickar (2021)?

Accepted Answer

A)  100 
B)  250 
C)  750 
D)  3000 
A)  100 
B)  250 
C)  750 
D)  3000

Question 8

The relationship between the underlying latent trait and the probability of answering an item correctly is called an _____________.

Accepted Answer

A)  Item Trace Function 
B)  Item Functioning Statistic 
C)  Item Response Function 
D)  Item Relation Graph 
A)  Item Trace Function 
B)  Item Functioning Statistic 
C)  Item Response Function 
D)  Item Relation Graph

Question 9

In confirmatory factor analysis, what is the preferred term by Shultz, Whitney, and Zickar (2021) for the item variance not explained by latent factors?

Accepted Answer

A)  error 
B)  residual 
C)  marker 
D)  leftover 
A)  error 
B)  residual 
C)  marker 
D)  leftover

Question 10

Which of the following parameters is part of the 3PL model but not the 2PL model?

Accepted Answer

A)  guessing 
B)  difficulty 
C)  discrimination 
D)  randomization 
A)  guessing 
B)  difficulty 
C)  discrimination 
D)  randomization

Question 11

After a model has been estimated on your particular data set, which of the following would you examine to see how to specifically improve model-data fit?

Accepted Answer

A)  Adjusted goodness-of-fit index 
B)  Individual error terms 
C)  Akaike Information 
D)  Model modification indexes 
A)  Adjusted goodness-of-fit index 
B)  Individual error terms 
C)  Akaike Information 
D)  Model modification indexes

Question 12

What are assumptions and requirements that need to be met to use IRT?

Accepted Answer

First off, you need a large enough sampl

Question 13

One strength of item response theory compared to classical test theory is that IRT statistics estimated from one population can be compared to statistics collected from a different population. This property is called _________.

Accepted Answer

A)  parameter invariance 
B)  population equivalence 
C)  sample independence 
D)  equatible comparison 
A)  parameter invariance 
B)  population equivalence 
C)  sample independence 
D)  equatible comparison

Question 14

The idea that items should be uncorrelated with each other after controlling for the latent trait of the model is called ________.

Accepted Answer

A)  Factoral independence 
B)  Factoral dependence 
C)  Common interdependence 
D)  Local independence 
A)  Factoral independence 
B)  Factoral dependence 
C)  Common interdependence 
D)  Local independence

Question 15

Which is better? Classical test theory or IRT?

Accepted Answer

This is of course a trick question. Both

In classical test theory, the concept of reliability is used to quantify measurement precision. In IRT, the analogous concept is called _________.

Describe the concept of item parameter invariance.

In item response theory models, the underlying latent trait is commonly referred to as ___________.

What are some key differences between classical test theory and item response theory.

Which of the following is not one of three parameters in the 3PL?

How can you decide what is the best IRT model for a particular data set?

What is a minimum suggested sample size required to do most IRT analyses as suggested by Shultz, Whitney, and Zickar (2021)?

The relationship between the underlying latent trait and the probability of answering an item correctly is called an _____________.

In confirmatory factor analysis, what is the preferred term by Shultz, Whitney, and Zickar (2021) for the item variance not explained by latent factors?

Which of the following parameters is part of the 3PL model but not the 2PL model?

After a model has been estimated on your particular data set, which of the following would you examine to see how to specifically improve model-data fit?

What are assumptions and requirements that need to be met to use IRT?

One strength of item response theory compared to classical test theory is that IRT statistics estimated from one population can be compared to statistics collected from a different population. This property is called _________.

The idea that items should be uncorrelated with each other after controlling for the latent trait of the model is called ________.

Which is better? Classical test theory or IRT?

Introduction and Overview

Statistics Review for PSYC Measurement

Sychological Scaling

Test Preparation and Specification

Reliability Overview: Classical Test Theory

Estimating Reliability

Content Validation

Criterion-Related Validation

Construct Validation

VG Psychometric Meta-Analysis Copy

Tests Bias Unfairness and Equivalence

Developing Tests of Maximal Performance

Classical Test Theory Item Analysis

Scoring Tests

Developing Measures of Typical Performance

Response Biases

Multiple Regression

Exploratory Factor Analysis

Confirmatory Factor Analysis

Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning

Generalizability Theory

Filters

Exam 20: Item Response Theory

In classical test theory, the concept of reliability is used to quantify measurement precision. In IRT, the analogous concept is called _________.

Describe the concept of item parameter invariance.

In item response theory models, the underlying latent trait is commonly referred to as ___________.

What are some key differences between classical test theory and item response theory.

Which of the following is not one of three parameters in the 3PL?

How can you decide what is the best IRT model for a particular data set?

What is a minimum suggested sample size required to do most IRT analyses as suggested by Shultz, Whitney, and Zickar (2021)?

The relationship between the underlying latent trait and the probability of answering an item correctly is called an _____________.

In confirmatory factor analysis, what is the preferred term by Shultz, Whitney, and Zickar (2021) for the item variance not explained by latent factors?

Which of the following parameters is part of the 3PL model but not the 2PL model?

After a model has been estimated on your particular data set, which of the following would you examine to see how to specifically improve model-data fit?

What are assumptions and requirements that need to be met to use IRT?

One strength of item response theory compared to classical test theory is that IRT statistics estimated from one population can be compared to statistics collected from a different population. This property is called _________.

The idea that items should be uncorrelated with each other after controlling for the latent trait of the model is called ________.

Which is better? Classical test theory or IRT?

Introduction and Overview

Statistics Review for PSYC Measurement

Sychological Scaling

Test Preparation and Specification

Reliability Overview: Classical Test Theory

Estimating Reliability

Content Validation

Criterion-Related Validation

Construct Validation

VG Psychometric Meta-Analysis Copy

Tests Bias Unfairness and Equivalence

Developing Tests of Maximal Performance

Classical Test Theory Item Analysis

Scoring Tests

Developing Measures of Typical Performance

Response Biases

Multiple Regression

Exploratory Factor Analysis

Confirmatory Factor Analysis

Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning

Generalizability Theory

Filters

Which of the following is not one of three parameters in the 3PL? 