Axel Mayer's research while affiliated with Bielefeld University and other places

... In these cases, approaches combining machine learning paradigms with confirmatory statistical models can help gaining insights into the relations among model variables and covariates. Two notable examples in the realm of structural equation modeling are SEM trees (Brandmaier et al. 2013), which combine SEM with decision trees (Quinlan, 1986) and SubgroupSEM (Kiefer et al., 2022), which is based on a subgroup discovery paradigm (Klösgen, 1996). These approaches facilitate exploration of complex structural relations with regard to a number of covariates in two ways: (a) The exploration of the covariate space is less formalized, that is, these approaches examine manifest combinations of the covariates instead of generating latent classes via a measurement model. ...

... Among the factors affecting a power calculation are the number of participants involved in the study and the type of statistical test we are performing. 42,43 This study included 151 participants at baseline and 127 participants at follow-up across both intervention and control groups. Sixty participants were recruited in the intervention group and 91 participants in the control group. ...

... Applications of this paradigm to statistical models are often called exceptional model mining (EMM; Duivesteijn et al., 2016;Leman et al., 2008). EMM has been proposed for regression models (Duivesteijn et al., 2012), mediation models (Lemmerich et al., 2020), latent growth curve models (Mayer et al., 2021), and structural equation models in general (SubgroupSEM; Kiefer et al., 2022) to name a few examples. ...

... However, causality theories, such as Rubin's causal model (Rubin, 2005) or the stochastic theory of causal effects provide causality conditions under which causal effects can be estimated. Usually, these conditions require a careful selection of covariates, which then are controlled for with regression adjustment (e.g., Mayer, 2019;Mayer et al., 2016) or propensity score methods (Rosenbaum & Rubin, 1983). For an overview of design and analysis in quasi-experimental settings, see also Reichhardt (2019). ...

... LST models ( Figure 1A) explain variance by situational, dispositional, and error influences. Therefore, different measurement occasions and different experimental conditions measuring the same construct are required (Kelava & Schermelleh-Engel, 2012). In the present study, different conditions were realized by separating data into two test sets by odd-even classification. ...

... For example, Breitsohl compared the analysis of variance between subjects and two methods based on structural equation models: the structural mean model and the multi-index multi-factor model [10]. For another example, the latent repeated measures analysis of variance [11] proposed by Langenberg et al. replaces the single Yang et al. ...

... However, the effect of information literacy on career success was not significant in SEM. The reason may be that the SEM is used to analyse the relationship between latent variables, whereas multiple linear regression is used to analyse manifest variable (Kiefer & Mayer, 2020). Nurses with good information literacy are more likely to seize the opportunity in big data medical treatment and collect medical data and resources faster and more efficiently (Westra et al., 2017). ...

... with few examinations of their pile-up over time (Infurna & Mayer, 2019Luhmann & Eid, 2009Schilling & Diehl, 2014). ...

... In addition, we will explore several baseline variables as prognostic and prescriptive predictors of change. To do this, we will use the EffectLiteR approach and consider baseline variables in the multiple-group LGCM [101]. The focal test for potential prescriptive variables is an omnibus test for interactions between treatment group and baseline variables. ...

... Regarding externalizing symptoms, both oppositional defiant [15] and conduct disorders [16] have been reported in SLD. However, the highest comorbidity is with Attention Deficit Hyperactivity Disorder (ADHD) [17,18], occurring between 25% and 45% of SLD cases [19,20]. ...