Latent profile analysis: A review and “how to” guide of its application within vocational behavior research

Spurk, Daniel; Hirschi, Andreas; Wang, Mo; Valero, Domingo Campillo; Kauffeld, Simone

doi:10.1016/j.jvb.2020.103445

Cited by 778 publications

(838 citation statements)

References 105 publications

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“…We used the SEM latent variable framework as it takes into account measurement errors which are associated with observed variables (Kline, 2011). These SEM analyses would also validate our profile solution: the (MJDs) profiles should show meaningful and significant associations with the employee outcomes studied, otherwise their criterion validity would be insufficient (see also Spurk et al, 2020). In SEM, we used separate PP variables (see the description above), each representing one MJDs' profile, as explanatory variables.…”

Section: Discussionmentioning

confidence: 94%

“…Because stress appraisal is a crucial element in the stress process (see Brem et al, 2017;Lazarus & Folkman, 1984), there may be individual differences in the extent to which work characteristics (here MJD) are appraised as stressful or accumulating by an individual. Viewed in this light, LPA is one appropriate tool to explore typical and atypical configurations of job demands at intra-and inter-individual level (see also Spurk et al, 2020;Woo et al, 2018) The second aim of this study is to investigate how the profiles of MJDs relate to three specific employee outcomes, i.e., job burnout, job performance, and meaning of work. These selected outcomes also form important criteria for the profiles of MJDs; the profiles should show meaningful variation in the outcomes or otherwise their criterion validity might be insufficient (see Spurk et al, 2020).…”

Section: Aims and Hypothesesmentioning

confidence: 99%

“…Viewed in this light, LPA is one appropriate tool to explore typical and atypical configurations of job demands at intra-and inter-individual level (see also Spurk et al, 2020;Woo et al, 2018) The second aim of this study is to investigate how the profiles of MJDs relate to three specific employee outcomes, i.e., job burnout, job performance, and meaning of work. These selected outcomes also form important criteria for the profiles of MJDs; the profiles should show meaningful variation in the outcomes or otherwise their criterion validity might be insufficient (see Spurk et al, 2020). In this respect, we are particularly interested in identifying risk profiles of MJDs (co-occurrence of MJDs), which, in turn, should relate to negative employee outcomes (i.e., more burnout, poorer performance and meaning of work).…”

Section: Aims and Hypothesesmentioning

confidence: 99%

“…For these reasons, we trust the results obtained via LPA. Furthermore, LPA is superior over cluster analysis as it allows a statistical comparison of the number of profiles/classes, and therefore it is nowadays a highly recommended (person-centered) analysis method in occupational/organizational psychology (see Spurk et al, 2020;Woo et al, 2018). Naturally, choosing the most adequate profile solution should also be based on theoretical models and/or earlier findings, and here we relied on cognitive load theory (Sweller, 1988) and transactional stress theory (Lazarus & Folkman, 1984).…”

Section: Co-occurrence Of Mjdsmentioning

confidence: 99%

“…A related point is that person-centered analysis methods best fit longitudinal studies, where we can for example can explore typical and atypical (individual) patterns of human development over time (e.g., Bergman & Lundh, 2015). However, nowadays person-centered analyses are common also in work and organizational psychology (Spurk et al, 2020;Woo et al, 2018).…”

Section: Limitations and Suggestions For Future Researchmentioning

confidence: 99%

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Profiling a Spectrum of Mental Job Demands and their Linkages to Employee Outcomes

Mauno

Minkkinen

2020

jpor

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Substance abuse, conduct disorder (CD) and attention deficit/hyperactivity disorder (ADHD) are all known risk factors for developing aggressive behaviors, criminality, other psychiatric comorbidity and substance use disorders (SUD). Since early age of onset is important for aggravating the impact of several of these risk factors, the aim of the present study was to investigate whether young adult violent offenders with different patterns of early onset externalizing problems (here: substance use < age 15, ADHD, CD) had resulted in different criminality profiles, substance use problem profiles and psychiatric comorbidity in young adult age. A mixed-method approach was used, combining a variable-oriented approach (with Kruskal Wallis tests) and a person-oriented approach (with Configural frequency analysis). Overall, this combined approach indicated that persons with combined ADHD+CD and persons with CD + early onset of substance use had a more varied history of violent crimes, a more comprehensive history of aggressive behaviors in general, and more psychiatric comorbidity, as well as more varied SUD and destructive substance abuse in adult age, than persons without ADHD, CD or early SU. Results are in line with previous variable-oriented research, but also indicate that individuals in this group with heavy problem aggregation early in life have a wider spectrum of problems in young adult age. Importantly, among these young violent offenders, problem aggregation was the overwhelming norm, and not the exception, as in studies of the general population. This emphasizes the need for early coordinated interventions, but also that treatment within correctional facilities in adult age needs to be comprehensive and take individual patterns of comorbidity into account.

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Section: Discussionmentioning

confidence: 94%

Section: Aims and Hypothesesmentioning

confidence: 99%

Section: Aims and Hypothesesmentioning

confidence: 99%

Section: Co-occurrence Of Mjdsmentioning

confidence: 99%

Section: Limitations and Suggestions For Future Researchmentioning

confidence: 99%

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Profiling a Spectrum of Mental Job Demands and their Linkages to Employee Outcomes

Mauno

Minkkinen

2020

jpor

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Identifying the Distinct Cognitive Phenotypes in Multiple Sclerosis

et al. 2021

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IMPORTANCECognitive impairment is a common and disabling feature of multiple sclerosis (MS), but a precise characterization of cognitive phenotypes in patients with MS is lacking.OBJECTIVES To identify cognitive phenotypes in a clinical cohort of patients with MS and to characterize their clinical and magnetic resonance imaging (MRI) features. DESIGN, SETTING, AND PARTICIPANTSThis multicenter cross-sectional study consecutively screened clinically stable patients with MS and healthy control individuals at 8 MS centers in Italy from January 1, 2010, to October 31, 2019. Patients with MS and healthy control individuals who were not using psychoactive drugs and had no history of other neurological or medical disorders, learning disability, severe head trauma, and alcohol or drug abuse were enrolled. MAIN OUTCOMES AND MEASURES Participants underwent a neurological examination and a cognitive evaluation with the Rao Brief Repeatable Battery and Stroop Color and Word Test. A subgroup of participants also underwent a brain MRI examination. Latent profile analysis was used on cognitive test z scores to identify cognitive phenotypes. Linear regression and mixed-effects models were used to define clinical and MRI features of each phenotype. RESULTS A total of 1212 patients with MS (mean [SD] age, 41.1 [11.1] years; 784 women [64.7%]) and 196 healthy control individuals (mean [SD] age, 40.4 [8.6] years; 130 women [66.3%]) were analyzed in this study. Five cognitive phenotypes were identified: preserved cognition (n = 235 patients [19.4%]), mild-verbal memory/semantic fluency (n = 362 patients [29.9%]), mild-multidomain (n = 236 patients [19.5%]), severe-executive/attention (n = 167 patients [13.8%]), and severe-multidomain (n = 212 patients [17.5%]) involvement. Patients with preserved cognition and mild-verbal memory/semantic fluency were younger (mean [SD] age, 36.5 [9.8] years and 38.2 [11.1] years) and had shorter disease duration (mean [SD] 8.0 [7.3] years and 8.3 [7.6] years) compared with patients with mild-multidomain (mean [SD] age, 42.6 [11.2] years; mean [SD] disease duration, 12.8 [9.6] years; P < .001), severe-executive/attention (mean [SD] age, 42.9 [11.7] years; mean [SD] disease duration, 12.2 [9.5] years; P < .001), and severe-multidomain (mean [SD] age, 44.0 [11.0] years; mean [SD] disease duration , 13.3 [10.2] years; P < .001) phenotypes. Severe cognitive phenotypes prevailed in patients with progressive MS. At MRI evaluation, compared with those with preserved cognition, patients with mild-verbal memory/semantic fluency exhibited decreased mean (SE) hippocampal volume (5.42 [0.68] mL vs 5.13 [0.68] mL; P = .04), patients with the mild-multidomain phenotype had decreased mean (SE) cortical gray matter volume (687.69 [35.40] mL vs 662.59 [35.48] mL; P = .02), patients with severe-executive/ attention had higher mean (SE) T2-hyperintense lesion volume (51.33 [31.15] mL vs 99.69 [34.07] mL; P = .04), and patients with the severe-multidomain phenotype had extensive brain damage, with decreased volume in a...

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Extraction of Depression Symptoms From Social Networks

Chilwal

Mishra

2021

The Smart Cyber Ecosystem for Sustainable Development

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Latent profile analysis: A review and “how to” guide of its application within vocational behavior research

Cited by 778 publications

References 105 publications

Profiling a Spectrum of Mental Job Demands and their Linkages to Employee Outcomes

Profiling a Spectrum of Mental Job Demands and their Linkages to Employee Outcomes

Identifying the Distinct Cognitive Phenotypes in Multiple Sclerosis

Extraction of Depression Symptoms From Social Networks

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