2014
DOI: 10.1080/10705511.2014.882658
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating Model Fit With Ordered Categorical Data Within a Measurement Invariance Framework: A Comparison of Estimators

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
363
0
10

Year Published

2014
2014
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 355 publications
(377 citation statements)
references
References 31 publications
4
363
0
10
Order By: Relevance
“…Differences of |DCFI| 6 .010, |DTLI| 6 .010, and |DRMSEA| 6 .015 for nested models indicate no substantial change in model fit (Chen, 2007;Cheung & Rensvold, 2002). These guidelines are particularly applied in the context of invariance testing, although it is currently unclear how robust they are in using ordered-categorical responses (Sass, Schmitt, & Marsh, 2014). We notice that, given the sample size, the v 2 difference test may not have sufficient power to detect changes in overall model fit, resulting in significant test statistics.…”
Section: Model Fitmentioning
confidence: 93%
“…Differences of |DCFI| 6 .010, |DTLI| 6 .010, and |DRMSEA| 6 .015 for nested models indicate no substantial change in model fit (Chen, 2007;Cheung & Rensvold, 2002). These guidelines are particularly applied in the context of invariance testing, although it is currently unclear how robust they are in using ordered-categorical responses (Sass, Schmitt, & Marsh, 2014). We notice that, given the sample size, the v 2 difference test may not have sufficient power to detect changes in overall model fit, resulting in significant test statistics.…”
Section: Model Fitmentioning
confidence: 93%
“…These models distinguished between the three TEDDICS factors (Accessing, evaluating, sharing & communicating digital information) and the three CSE factors (CSE in basic operational ICT tasks, CSE in advanced operational ICT and collaboration tasks, and CSE in using ICT for instructional purposes), and resulted in nine correlations. In these analyses, we treated teachers' responses categorically and applied weighted least squares means and variance adjusted (WLSMV) estimation (Rhemtulla et al 2012;Sass et al 2014).…”
Section: Research Questionmentioning
confidence: 99%
“…Next, MI was evaluated by determining whether the value of the chi-square measure of fit changed significantly in nested model tests. 1 Based on current recommendations of Sass, Schmitt and Marsh (2014), additional evaluation of change in alternative fit indices (AFIs) were not used as a primary threshold of measurement non-invariance. 2 However, change in AFIs (CFI and RMSEA) in nested model testing were calculated and presented to supplement evaluation of nested model comparisons.…”
Section: Methodsmentioning
confidence: 99%