Subpopulations of Addictive Behaviors in Different Sample Types and Their Relationships with Gender, Personality, and Well-Being: Latent Profile vs. Latent Class Analysis
Paweł A. Atroszko; Bartosz Atroszko; Edyta Charzyńska · 2021 · International Journal of Environmental Research and Public Health
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Background: Relatively strong theoretical assumptions and previous studies concerning co-occurring addictive behaviors suggest a subpopulation representing general proclivity to behavioral addictions (BAs), and there are gender-specific subpopulations. This study aimed to compare latent profile analysis (LPA) and latent class analysis (LCA) as the methods of investigating different clusters of BAs in the general student population and among students positively screened for at least one BA. Participants and procedure: Analyses of six BAs (study, shopping, gaming, Facebook, pornography, and food
Abstract by Paweł A. Atroszko; Bartosz Atroszko; Edyta Charzyńska, International Journal of Environmental Research and Public Health (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/ijerph18168590
