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im 1. September 2003 veröffentlichter wissenschaftlicher Artikel مقالة علمية نشرت في سبتمبر 2003 บทความทางวิทยาศาสตร์ 2003年學術文章 научни чланак објављен 1. септембар 2003. bài báo khoa học xuất bản ngày 1 tháng 9, 2003 artigo científico artikull shkencor i botuar më 1 shtator 2003 2003年学术文章 scienca artikolo 2003年学术文章 videnskabelig artikel offentliggjort den 1. september 2003 επιστημονικό άρθρο vědecký článek publikovaný 1. září 2003 научна статия, публикувана на 1 септември 2003 г. vitskapeleg artikkel 2003年の学術論文 2003年學術文章 teaduslik artikkel articolo scientifico pubblicato il 1 settembre 2003 tudományos cikk tieteellinen artikkeli mokslinis straipsnis, publikuotas 2003 m. rugsėjo 1 d. 2003 nî ê lūn-bûn article scientific সেপ্টেম্বর ২০০৩-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ article scientifique publié le 1 septembre 2003 2003년 논문 научная статья опубликованная 1 сентября 2003 г. wetenschappelijk artikel gepubliceerd op 1 september 2003 2003年學術文章 scientific article published on September 1, 2003 наукова стаття, опублікована у вересні 2003 2003年学术文章 article científic 2003年学术文章 naučni članak artículo científico publicado el 1 de septiembre de 2003 научни чланак објављен 1. септембар 2003. scientific article published on September 2003 artikulong pang-agham мақолаи илмӣ 2003年學術文章 artikel ilmiah artigo científico publicado em 1 de setembro de 2003 2003年學術文章 1 Eylül 2003'de yayımlanmış bilimsel makale artículu científicu espublizáu en 2003 2003年学术文章 scientific article published on 1 September 2003 articol științific maqolai ilmiy 2003年學術文章 სამეცნიერო სტატია vedecký článok publikovaný 1. septembra 2003 artigo científico publicado em 1 de setembro de 2003 artykuł naukowy opublikowany 1 września 2003 vetenskaplig artikel publicerad den 1 september 2003 znanstveni članek objavljen 1. september 2003 מאמר מדעי vitenskapelig artikkel
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Patrick J. Curran Daniel J. Bauer
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Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes
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