On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA

Beauducel, André; Herzberg, Philipp Yorck

doi:10.1207/s15328007sem1302_2

Cited by 1,108 publications

(874 citation statements)

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“…In all models we used robust parameter estimation (weighted least square mean- and variance-adjusted estimator, WLSMV) to account for the ordered categorical structure of the item ratings and to provide robust parameter estimation, standard errors, and tests of model fit (Beauducel & Herzberg, 2006). Model fit was assessed using widely-used benchmarks (Hu & Bentler, 1999), utilizing the comparative fit index (CFI), the Tucker-Lewis index (TLI; CFI and TLI: good fit: ≥ .95, acceptable fit: ≥ .90), and the root mean square error of approximation (RMSEA; good fit: < .06, acceptable fit: < .08).…”

Section: Methodsmentioning

confidence: 99%

Investigating institutional abuse survivors’ help-seeking attitudes with the Inventory of Attitudes towards Seeking Mental Health Services

Kantor

Knefel

2017

European Journal of Psychotraumatology

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Background: Although effective treatments exist, many trauma survivors delay or avoid professional help. Attitudes towards help-seeking are associated with intentions to and actual treatment use, but were neglected in research on trauma survivors so far. Objective: This study aimed to investigate the reliability, construct validity, and predictive power of the Inventory of Attitudes towards Seeking Mental Health Services (IASMHS) and to investigate attitudes of adult institutional abuse survivors. Method: A total of 220 adult survivors of institutional abuse were interviewed using IASMHS, the PTSD Checklist for DSM-5 (PCL-5), the Childhood Trauma Questionnaire Short-Form (CTQ-SF), the Life Events Checklist (LEC-5), and the depression-subscale of the Brief Symptom Inventory (BSI-18). They were further asked about their current mental health service use. We assessed the fit of different models of IASMHS with confirmatory factor analyses and predicted current mental health service use with a binominal logistic regression model. Results: The three-factor structure of IASMHS provided the best fit. One of the three scales (help-seeking propensity), the PTSD-intrusion scale, and the depression scale significantly contributed to the prediction of current mental health service use. Single items of the psychological openness scale loaded weakly on the according factor. Our sample showed a similar IASMHS profile compared to other samples with mental health problems. Conclusion: Overall, IASMHS appears to be a useful instrument to assess attitudes towards seeking mental health services in trauma survivors. It can be used to investigate help-seeking attitudes and its correlates to better understand and facilitate survivors’ treatment use.

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Section: Methodsmentioning

confidence: 99%

Investigating institutional abuse survivors’ help-seeking attitudes with the Inventory of Attitudes towards Seeking Mental Health Services

Kantor

Knefel

2017

European Journal of Psychotraumatology

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“…WLSMV is commonly used for modeling the associations among categorical variables in structural equation modeling (Beauducel & Herzberg, 2006). The longitudinal associations, which are in the probit metric (equivalent to the tetrachoric correlation), among the behaviors are summarized in Table 2.…”

Section: Research Questionmentioning

confidence: 99%

The development of individual physically aggressive behaviors from infancy to toddlerhood.

Lorber¹,

Vecchio²

2018

Developmental Psychology

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In the present investigation, we studied the development of six physically aggressive behaviors in infancy and toddlerhood, posing three questions (1) How do the prevalences of individual physically aggressive behaviors change from 8, 15, and 24 months? (2) Are there groups of children who show distinctive patterns in the way individual physically aggressive behaviors develop over time? (3) What are the behavioral pathways leading from 8-to 24-month acts of physical aggression? Mothers and fathers (N = 272) from a moderately at-risk population reported on their children's physical aggression at each time point. The results revealed the commonality of physical aggression at all ages studied and the diverging developmental patterns of individual behaviors. Some physically aggressive behaviors became less common (e.g., hair pulling), while others became more common (e.g., hitting), with age. Roughly 42% of the children exhibited an increased propensity, relative to their peers, to aggress at all ages. Kicking, biting, hair pulling, and pinching/scratching at 8 months were the first steps on behavioral pathways leading to physical aggression at 24 months.These pathways principally suggested heterotypic continuity in physical aggression.Keywords: physical aggression, infancy, toddlerhood, longitudinal, development. Development of Physical Aggression 3The Development of Individual Physically Aggressive Behaviors from Infancy to Toddlerhood Nearly all children are thought to exhibit at least some form of physical aggression in the first few years of life (Hay, 2005;Tremblay & Nagin, 2005). Physical aggression is known to be particularly common in toddlerhood (Hay, 2005;Tremblay & Nagin, 2005; Naerde, Ogden, Janson, & Daae Zachrisson, 2014) -exemplified by the so called "terrible twos." Yet a growing body of research has shown that these behaviors are common prior to age 2 Naerde et al., 2014), having been reported in children as young as 6 to 8 months of age (Hay et al., 2010;Lorber, Del Vecchio, & Slep, 2015). The present report is a continuation of this new wave of research in which we probe the development of physical aggression between 8 and 24 months. Tremblay and Côté (2005) argued that "[t]aking a developmental perspective means, first, to understand the development (change over time) of the phenomenon we are trying to predict, and second, to describe the causal chain of events over time that explain the development" (p. 449). In this spirit, we investigated which aggressive behaviors develop when, and in whom, and identified behavioral pathways leading from physical aggression at 8 months to physical aggression at 24 months.At the outset, it is important to clarify our approach to the phenomenon of aggression in the early months of life. As pointed out by several writers (Hay, 2016;Lorber, Del Vecchio, & Slep, 2014;Tremblay, 2000), there is disagreement about whether it is appropriate to refer any behavior as "aggressive" when performed by infants. Some theorists prefer a definition of aggression tha...

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“…In addition, WLSMV has generally outperformed the ADF estimator in terms of convergence to a proper solution under common data conditions (e.g., Beauducel and Herzberg, 2006;Flora and Curran, 2004). It has also been found to be more efficient than traditional Weighted Least Squares (WLS) (Asparouhov and Muthén, 2010).…”

Section: Methods Of Data Analysismentioning

confidence: 99%

Strategic Risk Management

Lam¹

2017

Implementing Enterprise Risk Management

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On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA

Cited by 1,108 publications

References 10 publications

Investigating institutional abuse survivors’ help-seeking attitudes with the Inventory of Attitudes towards Seeking Mental Health Services

Investigating institutional abuse survivors’ help-seeking attitudes with the Inventory of Attitudes towards Seeking Mental Health Services

The development of individual physically aggressive behaviors from infancy to toddlerhood.

Strategic Risk Management

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