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Programming --- Quantitative methods in social research --- Mathematical statistics --- Structural equation modeling. --- Modèles d'équations structurales --- AMOS. --- #SBIB:303H4 --- #SBIB:303H520 --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- AMOS (Computer program) --- Associative memory organizing system --- Modèles d'équations structurales --- Structural equation modeling
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Programming --- Quantitative methods in social research --- Mathematical statistics --- Structural equation modeling --- #SBIB:303H4 --- #SBIB:303H520 --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- AMOS. --- AMOS (Computer program) --- Associative memory organizing system --- Structural equation modeling.
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Quantitative methods in social research --- Computer. Automation --- Mathematical statistics --- Multivariate analysis --- Social sciences --- Statistical methods --- #SBIB:303H4 --- Informatica in de sociale wetenschappen --- Structural equation modeling --- SEM (Structural equation modeling) --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Social sciences - Statistical methods
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Structural equation modeling --- Social sciences --- Data processing --- Statistical methods --- 681.3*G3 --- #SBIB:303H4 --- #SBIB:303H520 --- #SBIB:303H61 --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Wiskundige methoden en technieken --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 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 (Computer file) --- Data processing. --- EQS (Computer file). --- Structural equation modeling - Data processing --- Social sciences - Statistical methods - Data processing
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#PBIB:1998.4 --- Self-perception --- Ontwikkelingspsychologie --- Psychodiagnostiek --- Testing --- Evaluation. --- Testing. --- persoonlijkheidsontwikkeling --- persoonlijkheidsonderzoek --- persoonlijkheidsontwikkeling. --- persoonlijkheidsonderzoek. --- Persoonlijkheidsontwikkeling. --- Persoonlijkheidsonderzoek. --- Self-concept --- Self image --- Self-understanding --- Testing&delete& --- Evaluation --- Perception --- Self-discrepancy theory --- Self-evaluation --- Self Concept --- Psychological Tests --- Behavioral Disciplines and Activities --- Personality Development --- Psychiatry and Psychology --- Personality --- Behavior and Behavior Mechanisms --- Psychology --- Social Sciences
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Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all Mplus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and Mplus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or Mplus, a prerequisite of basic statistics through regression analysis is recommended.
Structural equation modeling --- Multivariate analysis --- Social sciences --- Modèles d'équations structurales --- Analyse multivariée --- Sciences sociales --- Statistical methods --- Méthodes statistiques --- Mplus --- PSYCHOLOGY / Statistics. --- EDUCATION / Statistics. --- SOCIAL SCIENCE / Statistics. --- Mplus. --- Methodologie sociale wetenschappen, analysetechnieken --- #SBIB:303H520 --- PBIB --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- SEM (Structural equation modeling) --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Data processing --- Statistical methods&delete& --- Programming --- Quantitative methods in social research --- Mathematical statistics --- Data processing. --- Social sciences - Statistical methods
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"This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. -- Provided by publisher.
Programming --- Quantitative methods in social research --- Mathematical statistics --- Structural equation modeling --- AMOS --- #SBIB:303H4 --- #SBIB:303H520 --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- AMOS. --- AMOS (Computer program) --- Associative memory organizing system
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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
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