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"Les modèles d'équations structurelles (MES) sont devenus l'une des méthodes les plus utilisées en psychologie et en sciences sociales. Cependant, la majorité des ouvrages traitant des MES ont été écrits en anglais, et sont souvent peu accessibles à un public francophone. De plus, les ouvrages existants utilisent fréquemment des équations comme outil de base de la compréhension, ce qui rend d'autant plus ardue la découverte des MES pour les chercheurs et étudiants en psychologie et sciences sociales. Ce livre se veut donc une réponse à ces deux problématiques. Pensé comme une introduction à la fois accessible et complète à l'analyse et l'interprétation de données avec les MES et le logiciel Mplus, cet ouvrage met l'accent sur la compréhension des concepts de base, illustrés par de nombreux exemples concrets et applications pratiques. Chacun des chapitres commence par l'énoncé d'un problème de recherche, tiré bien souvent des recherches antérieures des auteurs, suivi de l'énoncé d'hypothèses qui seront évaluées à l'aide de la technique préconisée dans le chapitre."--Page 4 de couverture.

Psychology --- Social sciences Statistical methods Data processing. --- Structural equation modeling Data processing. --- Mathematical models.

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This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images, tables, and diagrams. --

Social sciences --- R (Computer program language) --- Statistical methods --- Data processing. --- Quantitative methods in social research --- Programming --- Social sciences - Statistical methods - Data processing.

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Kwantitatieve sociologische onderzoeksmethoden --- Statistiekwetenschap --- Wiskundige statistiek --- Programmering --- Quantitative methods in social research --- Statistical science --- Mathematical statistics --- Programming --- Social sciences --- Statistical methods --- Data processing --- Stata --- Automatic Data Processing. --- Mathematics. --- Programming (Mathematics) --- Software. --- Data processing. --- 681.3* / / / / / / / / / / / / / / / / / / / / / / / / / / / / --- 519.5 --- Computer science --- Stata for Windows. --- Social sciences - Statistical methods - Data processing

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This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.

Social sciences --- Mathematical statistics --- Statistical methods --- Data processing --- dataverwerking --- regressie-analyse --- softwarepakketten --- wiskundige statistiek --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical methods&delete& --- Enterprise guide. --- SAS (Computer file) --- Statistical analysis system --- SAS system --- Data processing. --- Mathematical Sciences --- Probability --- Social sciences - Statistical methods - Data processing --- Mathematical statistics - Data processing

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Mathematical statistics --- Quantitative methods (economics) --- Structural equation modeling --- Social sciences --- Data processing --- Statistical methods --- EQS (Computer file) --- EQS/Windows --- Data processing. --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical methods&delete& --- EQS/Windows. --- EQSWindows --- EQS (Computer file). --- Structural equation modeling - Data processing --- Social sciences - Statistical methods - Data processing