PMC5826529
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SoMeSci
http://data.gesis.org/somesci/PMC5826529
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5826529
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The quantitative data were analyzed using descriptive statistical analysis, correlations, and binominal logistics regressions on IBM SPSS Statistics 18 (Forward:LR method), and applying Latent Class Modeling (LCM) on LatentGold 3.
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