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Structural Equation Modeling with AMOS
35,90 € *
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The intention of writing this book is to give a basic knowledge regarding AMOS software which is a software package capable in finding complex relationships, popular as structural equation modeling (SEM). Today many researchers are interested in finding out such a complex relationships and AMOS software is becoming popular in this purpose. Hence, this book will be helpful to the beginners of SEM as it is a guide book for developing and identifying number of interconnected relationships through complex models.

Anbieter: Dodax
Stand: 06.07.2020
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Basic Principles of Structural Equation Modeling
106,99 € *
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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.

Anbieter: Dodax
Stand: 06.07.2020
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Basic Principles of Structural Equation Modeling
74,89 € *
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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.

Anbieter: Dodax
Stand: 06.07.2020
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Structural Equation Models
85,57 € *
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This compact reference surveys the full range of available structural equation modeling (SEM) methodologies. It reviews applications in a broad range of disciplines, particularly in the social sciences where many key concepts are not directly observable. This is the first book to present SEM's development in its proper historical context-essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that will grow importance in the near future. SEM's ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.

Anbieter: Dodax
Stand: 06.07.2020
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Software As A Service (SAAS) Adoption for fhe D...
74,90 € *
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The output of this research is framework that informs the adoption of Software as a Service (SaaS) for Small and middle-sized businesses (SMEs). Recent research has shown that there are significant advantages of SaaS when adopted by SMEs. The author investigated SMEs in different sectors on a weighting proposal. This target was 87% in excess of the required minimum of 200 respondents as required by Structural Equation Modeling (SEM) which was done using SPSS AMOS focused on modeling, trimming and best fit. However 293 respondents were obtained, which was significantly above the minimum requirement. The findings indicated that the factors that significantly influence the adoption of SaaS by SMEs include: awareness, trust, prior IT experience, relative advantage, triability, ICT knowledge and skills, top level management support and complexity. The researcher was able to recommend firstly, that evaluation of the market is critical for SaaS deployment and finally, that application developers, technological consultants, software vendors, and policy makers that intend to adopt SaaS should consider the extended TOE model developed from this research.

Anbieter: Dodax
Stand: 06.07.2020
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Knowledge Management Model For Construction Org...
63,90 € *
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KNOWLEDGE MANAGEMENT MODEL FOR CONSTRUCTION ORGANIZATION IN NIGERIA. This book is about knowledge management (KM) and knowledge management model from perspective of construction organization of a developing country using Structural Equation Model (SEM). Its principle aims are to provide academia, professionals, researchers and others interested in the construction organization with an improved awareness and understanding of knowledge management model principles and practices using SEM. The book intends to provide guideline on the use of Second Generation Method of Multivariate Analysis on the use of technologies, techniques and strategies for exploiting knowledge in a developing country for the benefit of the projects, individual and organizational workers. AMOS or the Analysis of Moments Structure as one of software developed for analyzing SEM. Researchers could convert their theoretical framework in to AMOS. Graphics for analysis using SEM. Also, with AMOS researcher could validate the measurement model of the latent structures using Confirmatory Factor Analysis (CFA). It allows researcher to analyze the structural model for casual, correlational, mediator and moderator effects.

Anbieter: Dodax
Stand: 06.07.2020
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Structural Equation Models
131,20 € *
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This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM's development in its proper historical context-essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM's ability to accommodate unobservable theory constructs through latent variables is of significant importance to social scientists. Latent variable theory and application are comprehensively explained and methods are presented for extending their power, including guidelines for data preparation, sample size calculation and the special treatment of Likert scale data. Tables of software, methodologies and fit statistics provide a concise reference for any research program, helping assure that its conclusions are defensible and publishable.

Anbieter: Dodax
Stand: 06.07.2020
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Partial Least Squares Structural Equation Modeling
134,43 € *
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This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills.Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc., macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R.PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

Anbieter: Dodax
Stand: 06.07.2020
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Structural Equation Modelling
159,00 CHF *
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Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent variable estimates, and statistics for model comparison, as well as offering more reliable results for smaller samples. Structural Equation Modeling introduces the Bayesian approach to SEMs, including the selection of prior distributions and data augmentation, and offers an overview of the subject's recent advances. * Demonstrates how to utilize powerful statistical computing tools, including the Gibbs sampler, the Metropolis-Hasting algorithm, bridge sampling and path sampling to obtain the Bayesian results. * Discusses the Bayes factor and Deviance Information Criterion (DIC) for model comparison. * Includes coverage of complex models, including SEMs with ordered categorical variables, and dichotomous variables, nonlinear SEMs, two-level SEMs, multisample SEMs, mixtures of SEMs, SEMs with missing data, SEMs with variables from an exponential family of distributions, and some of their combinations. * Illustrates the methodology through simulation studies and examples with real data from business management, education, psychology, public health and sociology. * Demonstrates the application of the freely available software WinBUGS via a supplementary website featuring computer code and data sets. Structural Equation Modeling: A Bayesian Approach is a multi-disciplinary text ideal for researchers and students in many areas, including: statistics, biostatistics, business, education, medicine, psychology, public health and social science.

Anbieter: Orell Fuessli CH
Stand: 06.07.2020
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