LCAG: a Program to Estimate Latent Class Models and Other Loglinear Models with Latent Variables with and Without Missing Data PDF Download
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Author: Jacques A.P. Hagenaars
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Jacques A. Hagenaars
Publisher: SAGE
ISBN: 9780803943100
Category : Mathematics
Languages : en
Pages : 84
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Book Description
In recent years the loglinear model has become the dominant form of categorical data analysis as researchers have expanded it into new directions. This book shows researchers the applications of one of these new developments - how uniting ordinary loglinear analysis and latent class analysis into a general loglinear model with latent variables can result in a modified LISREL approach. This modified LISREL model will enable researchers to analyze categorical data in the same way that they have been able to use LISREL to analyze continuous data.
Author: Uwe Engel
Publisher: Walter de Gruyter
ISBN: 3110824450
Category : Social Science
Languages : en
Pages : 308
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Author: Jacques A.P. Hagenaars
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Jacobus Adrianus Petrus Hagenaars
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Author: C. Mitchell Dayton
Publisher: SAGE
ISBN: 9780761913238
Category : Medical
Languages : en
Pages : 108
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Book Description
The author presents an accessible guide to latent class scaling models for binary response variables. Covered in the book are: a survey on academic cheating; children's mastery of spatial tasks; medical diagnosis of lung disease.
Author: Alexander von Eye
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 512
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Book Description
In this volume, leading researchers examine how latent variables can be incorporated in a variety of data-analysis strategies, such as structural equation modelling, regression analysis, log-linear modelling and prediction analysis. The contributors also discuss how latent variables analysis can be applied in developmental psychology research using methods such as cohort-time of measurement-age analysis, log-linear modelling of behaviour genetics hypothesis and analyses of repeatedly observed state measures. Detailed explanations of computations and software packages are included with each statistical method.
Author: Michel Wedel
Publisher: Springer Science & Business Media
ISBN: 1461546516
Category : Business & Economics
Languages : en
Pages : 387
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Book Description
Modern marketing techniques in industrialized countries cannot be implemented without segmentation of the potential market. Goods are no longer produced and sold without a significant consideration of customer needs combined with a recognition that these needs are heterogeneous. Since first emerging in the late 1950s, the concept of segmentation has been one of the most researched topics in the marketing literature. Segmentation has become a central topic to both the theory and practice of marketing, particularly in the recent development of finite mixture models to better identify market segments. This second edition of Market Segmentation updates and extends the integrated examination of segmentation theory and methodology begun in the first edition. A chapter on mixture model analysis of paired comparison data has been added, together with a new chapter on the pros and cons of the mixture model. The book starts with a framework for considering the various bases and methods available for conducting segmentation studies. The second section contains a more detailed discussion of the methodology for market segmentation, from traditional clustering algorithms to more recent developments in finite mixtures and latent class models. Three types of finite mixture models are discussed in this second section: simple mixtures, mixtures of regressions and mixtures of unfolding models. The third main section is devoted to special topics in market segmentation such as joint segmentation, segmentation using tailored interviewing and segmentation with structural equation models. The fourth part covers four major approaches to applied market segmentation: geo-demographic, lifestyle, response-based, and conjoint analysis. The final concluding section discusses directions for further research.
Author: Ton Heinen
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 232
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Book Description
In addition, he reviews log-linear models, latent trait models, and a number of restricted latent class models in detail as well as for the estimation of parameters for these models.
Author: Jeroen K. Vermunt
Publisher:
ISBN:
Category : Log-linear models
Languages : en
Pages : 372
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Author: Jacobus Adrianus Petrus Hagenaars
Publisher:
ISBN:
Category :
Languages : en
Pages : 66
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