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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: Prof. Sunil Kumar Singh
Publisher: Faculty of Education, Banaras Hindu University
ISBN: 9354073107
Category : Social Science
Languages : en
Pages : 204
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Book Description
PREFACE It gives me immense pleasure to share a few sentences as preface of the ‘Survey of Research Abstract of Faculty of Education (K)’, Banaras Hindu University, Varanasi. As we are aware that educational research aimed at developing curriculum, syllabus, textbooks, instructional materials, assessment modules, pedagogical innovations and qualitative practices and reforms. Information and communication technology, e-resources, e-contents, on-line mode of curricular transactions are becoming more prominent and effective in certain domains worldwide. Researches at doctoral and post-doctoral level are to be addressed the issues related to community, it needs and aspirations, curriculum (advances to be incorporate) and teaching-learning processes in order to make education updated, fulfilling the developmental needs, updated education refines the sensitivities of the learners to be constructive and productive in their approaches to bring desired development for themselves and for the society at large. Fast changing scenario on expected to lines and also on unexpected lines, both demand multifaceted preparedness to meet the challenges of life, likely to emerge. The present covid-19 situation has forced people globally to be locked down to fight against fatal corona virus. Under the situation researches and education processes one unique features such as: online mode of teaching- learning, development of e-content & e-resources, digital pedagogy, curricular flexibility, alternate system of evaluation and examinations, teachers knowledge base and preparedness and students achievement etc. all these have put forwards new areas of study. The comprehensive volume II of the Research Abstract includes eighty Ph.D. thesis and two hundred P.G. dissertations, covered various areas, including educational psychology, philosophy, sociology, technology, curricular studies, examination, evaluation, discipline-based pedagogies etc. Volume provides a rich knowledge base to readers to find knowledge gap in a particular areas for further research design in a way researcher finds a direction to proceed with a new problem with a sound research plan. I on behalf of the Faculty of Education and on my own behalf convey my sincere congratulations to the entire team of the publication and to Prof. S. K. Singh, the chief editor of the volume. I am sure readers will be immensely benefited from this great volume. Date: 26th May, 2020 (R. P. Shukla)
Author: Paul P. Biemer
Publisher: John Wiley & Sons
ISBN: 1118099575
Category : Mathematics
Languages : en
Pages : 305
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Book Description
Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and improvement. This book is a comprehensive resource on the key statistical tools and techniques employed during the modeling and estimation of classification errors, featuring a special focus on both latent class analysis (LCA) techniques and models for categorical data from complex sample surveys. Drawing from his extensive experience in the field of survey methodology, the author examines early models for survey measurement error and identifies their similarities and differences as well as their strengths and weaknesses. Subsequent chapters treat topics related to modeling, estimating, and reducing errors in surveys, including: Measurement error modeling forcategorical data The Hui-Walter model and othermethods for two indicators The EM algorithm and its role in latentclass model parameter estimation Latent class models for three ormore indicators Techniques for interpretation of modelparameter estimates Advanced topics in LCA, including sparse data, boundary values, unidentifiability, and local maxima Special considerations for analyzing datafrom clustered and unequal probability samples with nonresponse The current state of LCA and MLCA (multilevel latent class analysis), and an insightful discussion on areas for further research Throughout the book, more than 100 real-world examples describe the presented methods in detail, and readers are guided through the use of lEM software to replicate the presented analyses. Appendices supply a primer on categorical data analysis, and a related Web site houses the lEM software. Extensively class-tested to ensure an accessible presentation, Latent Class Analysis of Survey Error is an excellent book for courses on measurement error and survey methodology at the graduate level. The book also serves as a valuable reference for researchers and practitioners working in business, government, and the social sciences who develop, implement, or evaluate surveys.
Author: Jichuan Wang
Publisher: Walter de Gruyter
ISBN: 3110267705
Category : Mathematics
Languages : en
Pages : 275
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Book Description
Interest in multilevel statistical models for social science and public health studies has been aroused dramatically since the mid-1980s. New multilevel modeling techniques are giving researchers tools for analyzing data that have a hierarchical or clustered structure. Multilevel models are now applied to a wide range of studies in sociology, population studies, education studies, psychology, economics, epidemiology, and public health. This book covers a broad range of topics about multilevel modeling. The goal of the authors is to help students and researchers who are interested in analysis of multilevel data to understand the basic concepts, theoretical frameworks and application methods of multilevel modeling. The book is written in non-mathematical terms, focusing on the methods and application of various multilevel models, using the internationally widely used statistical software, the Statistics Analysis System (SAS®). Examples are drawn from analysis of real-world research data. The authors focus on twolevel models in this book because it is most frequently encountered situation in real research. These models can be readily expanded to models with three or more levels when applicable. A wide range of linear and non-linear multilevel models are introduced and demonstrated.
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: Willem E. Saris
Publisher: Eotvos University Press
ISBN:
Category : Measuring instruments
Languages : en
Pages : 284
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Book Description
Author: P.R. de Jong
Publisher: Elsevier
ISBN: 1483294862
Category : Business & Economics
Languages : en
Pages : 395
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Book Description
One of the more striking aspects of the Dutch Welfare State is its apparent difficulty in controlling the number of transfer recipients. A prime example of this management problem is the Disability Insurance program. This monograph presents a thorough investigation of the behavioral responses of employees and firms to this generous disability scheme. The heart of the study is the empirical part based on a rich data set of persons who apply for benefits and those who do not. The data derive both from self-reports as well as medical and vocational expert evaluations. Combining facets of health economics, medical sociology and econometric technique, the authors are able to reveal the intricate causalities that underlie the disability process.
Author: Peter G. M. Heijden
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 364
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Book Description
The wide selection of articles in this volume reflects the large variety of problems that are likely to confront an applied statistician. These range from methodological topics such as issues in probability theory and statistical inference, computational statistics and software considerations, to topics arising from particular applications, such as data analyses in medicine and epidemiology, sociology, demography, economics and so on. Particular emphasis is given to the analysis of categorical data and educational testing applications.
Author: Andrzej Huczynski
Publisher: Routledge
ISBN: 1351775626
Category : Business & Economics
Languages : en
Pages : 732
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Book Description
This title was first published in 2001. This title was first published in 2001. The core of this thoroughly revised book is a directory of more than 700 methods. Each entry typically comprises an explanation, a bibliography, and cross-references. Other features include a review of different approaches to classifying the methods, and two valuable appendices; the first is to help practitioners analyse their methods; the second providing details of relevant books, journals and other information sources.
Author: Rick H. Hoyle
Publisher: SAGE Publications
ISBN: 145224684X
Category : Social Science
Languages : en
Pages : 313
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Book Description
This largely nontechnical volume reviews some of the major issues facing researchers who wish to use structural equation modeling. Individual chapters present recent developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data. Numerous examples of applications are given and attention is paid to the underlying philosophy of structural equation modeling and to writing up results from structural equation modeling analyses.
Author: Anuška Ferligoj
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 212
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Book Description
