Cutoff criteria for overall model fit indexes in generalized structured component analysis

Generalized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.

The Fourth Workshop on Lineshape Code Comparison: Line Merging

For a given set of plasma parameters, along a single series (Lyman, Balmer etc) the lines with higher principal quantum number(n) lines get progressively wider, closer to each other, and start merging for a certain critical n. In the present work four different codes(with further options) are used to calculate the entire Balmer series for moderate and high electron densities. Particular attention is paid to the relevant physics, such as the cutoff criteria, strong and penetrating electron collisions.

Impact of different cutoff criteria on rate of (central) auditory processing disorders diagnosis using the central test battery

The purpose of this study was to quantify how the use of two different cutoff criteria affects the test failure rate and potential diagnosis of central auditory processing disorder ([C]APD) in a sample of children subjected to central auditory processing ([C]AP) assessment. Test failure rates for the central test battery (CTB) using two different cutoff criteria (1 and 2 SDs below the mean) were measured retrospectively for 98 children who completed (C)AP assessment. The rates of potential (C)APD diagnosis ranged from 86.8% [when a 1 standard deviation (SD) cutoff was used] to 66.2% (when a 2 SD cutoff was used). The current use of two different cutoffs for the CTB has a large impact on the diagnostic rate for (C)APD. These findings have clinical implications for the diagnosis of (C)APD due to the widespread use of the CTB in the United States for the assessment of (C)APD in children. Thus, it is important to create awareness among audiologists that use of the 2 SDs cutoff criterion is recommended for reducing false positives (error).