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Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research

Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling
In this study, we propose novel variations of equivalence tests based on the popular root mean squared error of approximation and comparative fit index fit indices. Using Monte Carlo simulations, we compare the performance of these novel tests to other existing equivalence testing-based fit indices in SEM, as well as to other methods commonly used to evaluate model fit. Results indicate that equivalence tests in SEM have good Type I error control and display considerable power for detecting well-fitting models in medium to large sample sizes. At small sample sizes, relative to traditional fit indices, equivalence tests lim...
Source: The British Journal of Mathematical and Statistical Psychology - July 14, 2023 Category: Statistics Authors: Nataly Beribisky Robert A Cribbie Source Type: research