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Author: Willem E Saris
Publisher: Springer
ISBN: 1349190543
Category : Social Science
Languages : en
Pages : 242
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Book Description
Author: Albert Maydeu-Olivares
Publisher: Psychology Press
ISBN: 1135623163
Category : Education
Languages : en
Pages : 596
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Book Description
Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis. The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference for factor scores and parameter estimates. The section on structural equation modeling (SEM) includes the general algebraic-graphic rules for latent variable SEM, a survey of goodness of fit assessment, SEM resampling methods, a discussion of how to compare correlations between and within independent samples, dynamic factor models based on ARMA time series models, and multi-level factor analysis models for continuous and discrete data. The final section on multivariate analysis includes topics such as dual scaling of ordinal data, model specification and missing data problems in time series models, and a discussion of the themes that run through all multivariate methods. This tour de force through contemporary psychometrics will appeal to advanced students and researchers in the social and behavioral sciences and education, as well as methodologists from other disciplines.
Author: Robert Cudeck
Publisher: Scientific Software International
ISBN: 9780894980497
Category : Mathematics
Languages : en
Pages : 628
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Book Description
Author: British Library. Document Supply Centre
Publisher:
ISBN:
Category : Periodicals
Languages : en
Pages : 580
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Book Description
Author: H. Folmer
Publisher: Springer Science & Business Media
ISBN: 940094392X
Category : Business & Economics
Languages : en
Pages : 281
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Book Description
Impact analysis of economic policy is a subject which is gaining in creasing interest in both theoretical and applied economic research. Two main reasons for the growing interest can be distinguished. First, the situation of the government's finances is making it more than ever necessary to assess critically the effects of the instruments used to pursue public policy goals. Secondly, because of the economic stagnation government will be increasingly appealed to for support. Impact analysis, however, is hampered by three major problems: methodological deficiencies, lack of econometric approaches which have been adapted to the specific conditions of this kind of analysis and data availability. The present book deals with these problems in the context of regional economic policy. However, the main findings are broadly applicable in various other fields. This book is primarily oriented towards those who have a practical interest. Therefore, attention is mostly paid to the practical aspects of the methodology and the measurements methods. Furthermore, the methodologi cal and econometric parts are supplemented by two extensive case studies. ~- Three people have contributed constructive criticisms and suggestions on some chapters of the book: Peter Nijkamp, Theo Dijkstra and Manfred Fischer. I am very grateful for their support. They, of course, share no blame for any deficiences in the present form of the book. I also gratefully acknowledge the assistance of Harry Barkema and Marja Schuring with the computations.
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 170
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Book Description
Author: Jan Kmenta
Publisher: Academic Press
ISBN: 1483267342
Category : Business & Economics
Languages : en
Pages : 425
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Book Description
Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, use of exploratory methods in economic analysis, and model construction and evaluation when theoretical knowledge is scarce. The data analysis by partial least squares, prediction analysis of economic models, and aggregation and disaggregation of nonlinear equations are also elaborated. This text likewise covers the comparison of econometric models by optimal control techniques, role of time series analysis in econometric model evaluation, and hypothesis testing in spectral regression. Other topics include the relevance of laboratory experiments to testing resource allocation theory and token economy and animal models for the experimental analysis of economic behavior. This publication is intended for students and researchers interested in evaluating econometric models.
Author: Ralph O. Mueller
Publisher: Springer Science & Business Media
ISBN: 1461239745
Category : Social Science
Languages : en
Pages : 252
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Book Description
During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research.
Author: C.R. Rao
Publisher: Elsevier
ISBN: 0444521038
Category : Mathematics
Languages : en
Pages : 1191
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Book Description
This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant. The contributors are internationally renowned experts in their respective areas. This volume addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research. It features: methods for assessing Biomarkers, analysis of competing risks; clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs; and, structural equations modelling and longitudinal data analysis.
Author: Leslie A. Hayduk
Publisher: JHU Press
ISBN: 9780801834783
Category : Computers
Languages : en
Pages : 430
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Book Description
Hayduk is equally at ease explaining the simplest and most advanced applications of the program . . . Hayduk has written more than just a solid text for use in advanced graduate courses on statistical modeling. Those with a firm mathematical background who wish to learn about the approach, or those who know a little about the program and want to know more, will find this an excellent reference.
Author: Jan-Bernd Lohmöller
Publisher: Springer Science & Business Media
ISBN: 3642525121
Category : Business & Economics
Languages : en
Pages : 284
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Book Description
Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual.
