New developments in quantitative psychology : presentations from the 77th Annual Psychometric Society Meeting

The 77th Annual International Meeting of the Psychometric Society (IMPS) brought together quantitative researchers who focus on methods relevant to psychology.  The conference included workshops, invited talks by well-known scholars, and presentations of submitted papers and posters. It was hosted b...

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その他の著者: Millsap, Roger Ellis (出版デイレクター), Ark, Andries van der (出版デイレクター), Bolt, Daniel M. (出版デイレクター), Woods, Carol M. (出版デイレクター)
フォーマット: Livre numérique
言語:Anglais
出版事項: New York, NY : Springer New York [20..].
Cham : Springer Nature
版:1st ed. 2013.
シリーズ:Springer Proceedings in Mathematics & Statistics 66
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注記: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• New Developments in Quantitative Psychology, Texte imprimé, 9781461493471
• New Developments in Quantitative Psychology, Texte imprimé, 9781461493495
• New Developments in Quantitative Psychology, Texte imprimé, 9781493947393
その他の書誌記述
要約:The 77th Annual International Meeting of the Psychometric Society (IMPS) brought together quantitative researchers who focus on methods relevant to psychology.  The conference included workshops, invited talks by well-known scholars, and presentations of submitted papers and posters. It was hosted by the University of Nebraska-Lincoln and took place between the 9th and 12th of July, 2012. The chapters of this volume are based on presentations from the meeting and reflect the latest work in the field.   Topics with a primarily measurement focus include studies of item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling.  Additional psychometric topics relate to structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis, among others.   The papers in this volume will be especially useful for researchers (graduate students and other quantitative researchers) in the social sciences who use quantitative methods, particularly psychologists.  Most readers will benefit from some prior knowledge of statistical methods in reading the chapters
記述事項:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781461493488
ISSN:2194-1017
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