2022
DOI: 10.1080/10705511.2021.2019587
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Sample Size Requirements for Bifactor Models

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Cited by 33 publications
(25 citation statements)
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“…We assessed self-stereotypes before group stereotypes to avoid priming gender. Counterbalancing the measures would have required us to assess potential order effects, which would add parameters to the model, increasing the likelihood of non-convergence (Bader et al, 2022). However, in Study 2a, we assessed group stereotypes without a self-stereotyping measure and reached similar conclusions, suggesting that order did not affect conclusions in the present study.…”
Section: Methodsmentioning
confidence: 68%
See 2 more Smart Citations
“…We assessed self-stereotypes before group stereotypes to avoid priming gender. Counterbalancing the measures would have required us to assess potential order effects, which would add parameters to the model, increasing the likelihood of non-convergence (Bader et al, 2022). However, in Study 2a, we assessed group stereotypes without a self-stereotyping measure and reached similar conclusions, suggesting that order did not affect conclusions in the present study.…”
Section: Methodsmentioning
confidence: 68%
“…We then conducted CFAs of potential subdimensions of the Big Two and estimated bifactor models. We attempted to estimate full measurement models in each study, but the models did not converge, which is common in bifactor modeling (Bader et al, 2022). We, thus, reduced the number of latent factors by estimating measurement models separately for the vertical and horizontal dimensions.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Minimum sample sizes were set heuristically so as to involve sufficient data points for stable estimates in the statistical models (see below), that is, N > 300 for simpler models (with only one latent variable) and N > 1,000 for more complex models (with up to 13 latent variables; see Study 2). Note that the realized sample sizes typically guarantee proper convergence and unbiased parameter estimates of the specified models (Bader et al, in press). Maximum sample sizes were not defined a priori, but either determined by the number of participants obtained in a prespecified time frame (Studies 1a, 1b, and 3) or determined by practical constraints, that is, funding (Studies 2, 4, 5, and 6).…”
Section: The Role Of Justifying Beliefs In Aversive Personalitymentioning
confidence: 99%
“…The explained common variance of the general factor was 0.52, indicating that the percentage of common variance attributable to it was higher than half of the common variance. The average relative bias of the whole scale was moderate, and relative biases of three items of Influence and two of Spatiotemporal Commitment were strong, following cut-offs of 0.05 for moderate and 0.10 for strong biases (Bader et al, 2022 ). These findings also confirm the presence of the leading general factor and a non-trivial role of specific factors.…”
Section: Resultsmentioning
confidence: 99%