Description Usage Arguments Details Value References Examples

Generate adjusted cutoff values of RMSEA for equivalence testing corresponding to conventional cutoff values .01, .05, .08, and .10.

1 | ```
eqMI.RMSEA(N, m, df)
``` |

`N` |
Total sample size of all groups |

`m` |
Number of groups |

`df` |
Degree of freedom |

The adjusted cutoff values of RMSEA for equivalence testing can be obtained with `N, m, df`

and transformed variables. Formulas are estimated using simulation studies and the coefficients are given in Table 11 of the reference.

The adjusted cutoff values corresponding to conventional cutoff values .01, .05, .08, and .10.

Steiger, J. H. and Lind, J. C. (1980). Statistically‐based tests for the number of common factors. Handout for a presentation delivered at the meeting of the Psychometric Society. Iowa City, IA. May,

Yuan, K. H., & Chan, W. (2016). Measurement invariance via multigroup SEM: Issues and solutions with chi-square-difference tests. Psychological methods, 21(3), 405-426.

1 2 3 4 5 6 | ```
alpha <- .05;
N <- 200;
m <- 1;
T_ml <- 28.446; #the statistic T_ml for group 1;
df <- 24;
eqMI.RMSEA(N = N, m = m, df = df);
``` |

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