A Primer to Latent Profile and Latent Class Analysis

Bauer, Johannes

doi:10.1007/978-3-031-08518-5_11

Cited by 50 publications

(45 citation statements)

References 36 publications

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“…Nonetheless, small profiles (< 5%) are considered useful when the number of small classes is low (we have only one small class) and when the small class is interpretable and distinguished from other classes (P6 emerged early in the iterative process indicating that it is distinguished from other classes and we were able to interpret these values as being higher than all other profiles). 65 Moreover, a previous study also identified a group (25% of families) of high to very high…”

Section: Discussionmentioning

confidence: 92%

Patterns of parent screen use, child screen time, and child socio‐emotional problems at 5 years

Cost

Unternäehrer

Tsujimoto

et al. 2023

J Neuroendocrinology

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Section: Discussionmentioning

confidence: 92%

Patterns of parent screen use, child screen time, and child socio‐emotional problems at 5 years

Cost

Unternäehrer

Tsujimoto

et al. 2023

J Neuroendocrinology

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“…We employed latent profile analysis (LPA) to assess the complex relationship between drug type and drug-related behaviours, given that, as a latent variable mixture modelling approach, LPA is well-equipped to capture the complexities associated with polysubstance use that may be imperceptible when analysing individual factors alone [26]. Furthermore, LPA is similar to latent class analysis (LCA) in that they both use mixture modelling to identify hidden groups based on observed data, although importantly, LPA identifies different groups based on groupspecific means, while LCA identifies groups defined by the item's category-specific endorsement probability [27]. Although we considered both approaches, we opted for LPA over LCA given that we employed 5-and 7-level ordered categorical variables, which cannot be effectively leveraged by LCA as a result of its limitation in effectively accounting for ordinal data [28,29].…”

Section: Discussionmentioning

confidence: 99%

Latent polydrug use patterns and the provision of injection initiation assistance among people who inject drugs in three North American settings

Rammohan

Jain

Sun

et al. 2023

Drug and Alcohol Review

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IntroductionWe sought to identify latent profiles of polysubstance use patterns among people who inject drugs in three distinct North American settings, and then determine whether profile membership was associated with providing injection initiation assistance to injection‐naïve persons.MethodsCross‐sectional data from three linked cohorts in Vancouver, Canada; Tijuana, Mexico; and San Diego, USA were used to conduct separate latent profile analyses based on recent (i.e., past 6 months) injection and non‐injection drug use frequency. We then assessed the association between polysubstance use patterns and recent injection initiation assistance provision using logistic regression analyses.ResultsA 6‐class model for Vancouver participants, a 4‐class model for Tijuana participants and a 4‐class model for San Diego participants were selected based on statistical indices of fit and interpretability. In all settings, at least one profile included high‐frequency polysubstance use of crystal methamphetamine and heroin. In Vancouver, several profiles were associated with a greater likelihood of providing recent injection initiation assistance compared to the referent profile (low‐frequency use of all drugs) in unadjusted and adjusted analyses, however, the inclusion of latent profile membership in the multivariable model did not significantly improve model fit.Discussion and ConclusionsWe identified commonalities and differences in polysubstance use patterns among people who inject drugs in three settings disproportionately impacted by injection drug use. Our results also suggest that other factors may be of greater priority when tailoring interventions to reduce the incidence of injection initiation. These findings can aid in efforts to identify and support specific higher‐risk subpopulations of people who inject drugs.

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“…In the same vein, though excluding participants without sufficient exposure to the treatment is reasonable, time criteria are always somewhat arbitrary. Latent class analysis of time on task might provide a more principled approach for this purpose (Bauer, 2022). Finally, the reliabilities of the source preference scales proved quite low in Study 2, as compared with Study 1 and Thomm et al (2021a).…”

Section: Limitationsmentioning

confidence: 95%

The scientific impotence excuse in education – Disentangling potency and pertinence assessments of educational research

Futterleib

Thomm²,

Bauer³

2022

Front. Educ.

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When facing belief-contradictory scientific evidence, preservice teachers tend to doubt the potency of science and consult scientific sources less frequently. Thus, individuals run the risk not only to maintain questionable assumptions but also to develop dysfunctional stances toward research as a reliable source of knowledge. In two studies, we (a) replicated findings on the so-called scientific impotence excuse (SIE) in education and (b) differentiated the effects on the potency and pertinence of science to investigate educational topics to better understand the nature of SIE-related science devaluation. Both studies followed a 2 × 2 mixed experimental design: Preservice teachers assessed their prior belief about an educational topic (i.e., effectiveness of grade retention) before and after reading either confirming or disconfirming scientific evidence concerning the topic. Study 1 (N = 147 preservice teachers; direct replication) confirmed the central prior findings of science devaluation when belief-evidence conflicts occur. In contrast, the results of Study 2 (N = 152; follow-up study) revealed no systematic devaluations of science when disentangling the facets of potency and pertinence. Despite partial devaluation tendencies, both studies revealed that preservice teachers adapted their prior beliefs to the evidence presented. These findings extend previous research by providing insights into the conditions of science devaluation.

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A Primer to Latent Profile and Latent Class Analysis

Cited by 50 publications

References 36 publications

Patterns of parent screen use, child screen time, and child socio‐emotional problems at 5 years

Patterns of parent screen use, child screen time, and child socio‐emotional problems at 5 years

Latent polydrug use patterns and the provision of injection initiation assistance among people who inject drugs in three North American settings

The scientific impotence excuse in education – Disentangling potency and pertinence assessments of educational research

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