2015
DOI: 10.1080/10705511.2014.955104
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Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes

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Cited by 607 publications
(433 citation statements)
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References 17 publications
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“…To address Hypothesis 1, we modeled negative and positive work expectations and goal engagement as auxiliary variables using the BCH command in Mplus. The BCH command compares mean levels across profiles and tests for significant differences in the correlates using Wald tests (Bakk & Vermunt, 2016). The results showed significant differences across the five motivational profiles (Table 3 and …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To address Hypothesis 1, we modeled negative and positive work expectations and goal engagement as auxiliary variables using the BCH command in Mplus. The BCH command compares mean levels across profiles and tests for significant differences in the correlates using Wald tests (Bakk & Vermunt, 2016). The results showed significant differences across the five motivational profiles (Table 3 and …”
Section: Resultsmentioning
confidence: 99%
“…profile. We again performed Wald tests using the BCH procedure (Bakk & Vermunt, 2016) and evaluated the differences in person-job fit, work engagement, and job satisfaction at T1 across the five profiles (Table 3 and Figure 1). We found that the unmotivated profile was related to the lowest values in the three work experiences, whereas the motivated profile was Belonging to the low positive affect profile was related to decreases in work engagement, whereas belonging to the motivated profile was related to increases in work engagement.…”
Section: Methodsmentioning
confidence: 99%
“…We used the automatic version of the modified BCH 3-step method (Asparouhov & Muthén, 2015; Vermunt, 2010) to compare mean levels of these violence related covariates within each class as it is the method most robust to violations of normality assumptions (Baak & Vermunt, 2015). This method accounts for classification error in the class assignment via weighting to adjust bias in standard errors and associated parameter estimates accordingly (Baak & Vermunt, 2015; Vermunt, 2010). Omnibus χ 2 with C −1 df and pairwise contrasts χ 2 with 1 df are provided for each of the violence related correlates.…”
Section: Discussionmentioning
confidence: 99%
“…The estimated trajectory classes were related to antecedents (e.g., full breastfeeding) or distal outcomes (e.g., FM at 20 y) by 3-step LGMM (30)(31)(32)(33)(34)(35). Dependent on the outcome's scale, LGMM was combined with either multinomial logistic regression or ANOVA, respectively.…”
Section: Discussionmentioning
confidence: 99%