An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses

Berlin, Kristoffer S.; Williams, Natalie A.; Parra, Gilbert R.

doi:10.1093/jpepsy/jst084

Cited by 601 publications

(483 citation statements)

References 31 publications

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“…Third, the entropy criterion was examined, which indicates how accurately people are profiled into their respective profiles (Aldridge & Roesch, 2008). Values closer to 1 indicate better accuracy (Berlin, Williams, & Parra, 2014). Fourth, the authors conducted an expert evaluation to select the solution that was most meaningful from a theoretical perspective.…”

Section: Discussionmentioning

confidence: 99%

Youth Sport Coaches’ Well-Being Across the Season: The Psychological Costs and Benefits of Giving Empowering and Disempowering Sports Coaching to Athletes

Solstad

Ivarsson

Haug

et al. 2018

International Sport Coaching Journal

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The purpose of this study was to investigate the associations between giving empowering and disempowering sports coaching to young athletes and coaches' well-being across the season. The sample comprised 169 Norwegian youth football (i.e., European soccer) coaches with a mean age of 41.99 (SD = 6.32). Moreover, we were interested in examining heterogeneous groups of coaches showing variability in their self-reporting of empowering and disempowering behaviors towards their athletes. Thus, a person-centered approach was used. The latent profile analysis revealed three distinct profiles and the association between these profiles and coaches' well-being was in line with the outlined hypotheses. Specifically, coaches who gave higher levels of empowering and lower levels of disempowering sports coaching to their athletes at the beginning of the season also reported higher levels of well-being at the end of the season. The results indicate that there exists an intrinsic value as to why coaches should give empowering sports coaching, as opposed to disempowering sports coaching, to their athletes; namely, these actions may be advantageous in terms of improving their own well-being. In practical terms, future coach education may take advantage of these findings by providing coaches another reason for coaching in an empowering manner.

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Section: Discussionmentioning

confidence: 99%

Youth Sport Coaches’ Well-Being Across the Season: The Psychological Costs and Benefits of Giving Empowering and Disempowering Sports Coaching to Athletes

Solstad

Ivarsson

Haug

et al. 2018

International Sport Coaching Journal

View full text Add to dashboard Cite

show abstract

“…To assess the quality of classification, we used entropy (a statistic ranging from 0 to 1 assessing the accuracy of classification, where a higher value indicates greater classification accuracy) and posterior probabilities (probability of assigning observations to groups given the data) (19,22). Age at onset of overweight was visually assessed by graphing the mean BMI for each class at the available ages and assessing the age at which mean BMI (in kg/m 2 ) exceeded 25.…”

Section: Methodsmentioning

confidence: 99%

Life-Course Body Mass Index Trajectories Are Predicted by Childhood Socioeconomic Status but Not Exposure to Improved Nutrition during the First 1000 Days after Conception in Guatemalan Adults

Ford

Martorell

Mehta

et al. 2016

The Journal of Nutrition

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“…The three-step approach (1) builds a latent model for a set of response variables, (2) assigns subjects to classes based on posterior class membership probabilities, and (3) examines associations between assigned membership and external variables, taking class uncertainty into consideration. We chose the three-step approach because exporting data of most likely class membership for subsequent analysis as in a one-step procedure may introduce errors and decrease precision (Asparouhov & Muthén, 2014a, 2014b; Berlin, Williams, & Parra, 2014; Vermunt, 2010). The variables loss of a relative or friend and subjective life threat, which have a high influence on symptom severity in this sample (Johannesson et al, 2009), were included in the model as covariates and thus part of the latent model.…”

Section: Methodsmentioning

confidence: 99%

Similarity in symptom patterns of posttraumatic stress among disaster-survivors: a three-step latent profile analysis

Bondjers

Willebrand

Arnberg

2018

European Journal of Psychotraumatology

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Background: Individuals express symptoms of posttraumatic stress in various ways, noted for example in the many symptom combinations in the diagnostic manuals. Studies aiming to examine differences of symptom presentations by extracting latent classes or profiles indicate both the presence of subtypes with differing symptomatology and subtypes distinguished by severity levels. Few studies have examined subtype associations with long-term outcomes.Objective: The current study aimed to apply latent profile analysis on posttraumatic stress (PTS) in a highly homogenous sample of Swedish tourists exposed to the 2004 Southeast Asia tsunami and to examine if classes differed in their long-term outcome.Methods: An latent profile analysis was conducted using self-report data collected one year after the disaster from 1638 highly exposed survivors that endorsed ≥ 1 symptom of PTS. Associations were examined between the classes and predictors of PTS (loss of a relative or friend, subjective life threat) and levels of PTS at a three-year follow up.Results: The latent profile analysis indicated four classes: minimal, low, moderate, and severe symptoms. The classes were distinguished mainly by their levels of PTS. Loss of a relative or friend and subjective life threat were associated with a higher likelihood of belonging to any other class than the minimal class. The severity level of the classes at one year were predictive of PTS severity at the three-year follow-up.Conclusions: Homogeneous profiles of posttraumatic stress differing mainly in symptom severity were found in this sample of disaster survivors. Profile diversity may be related to sample variation and unmeasured confounders rather than reflect qualitatively different disorders.

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An Introduction to Latent Variable Mixture Modeling (Part 1): Overview and Cross-Sectional Latent Class and Latent Profile Analyses

Abstract: Latent variable mixture modeling is a technique that is useful to pediatric psychologists who wish to find groupings of individuals who share similar data patterns to determine the extent to which these patterns may relate to variables of interest.

Cited by 601 publications

References 31 publications

Youth Sport Coaches’ Well-Being Across the Season: The Psychological Costs and Benefits of Giving Empowering and Disempowering Sports Coaching to Athletes

Youth Sport Coaches’ Well-Being Across the Season: The Psychological Costs and Benefits of Giving Empowering and Disempowering Sports Coaching to Athletes

Life-Course Body Mass Index Trajectories Are Predicted by Childhood Socioeconomic Status but Not Exposure to Improved Nutrition during the First 1000 Days after Conception in Guatemalan Adults

Similarity in symptom patterns of posttraumatic stress among disaster-survivors: a three-step latent profile analysis

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