This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (latent) variables. Although the focus is on simple R code, the book provid...Loe edasi...
This book is designed for students taking basic and advanced courses in statistics, taking an integrative and practical approach to learning statistics. It guides students through navigating SPSS outputs and writing quantitatively, dealing with tech...Loe edasi...
In medical and social science research, MGLMMs help disentangle state dependence from incidental parameters. Focusing on these sophisticated data analysis techniques, this work presents robust and methodologically sound models for analyzing large an...Loe edasi...
Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. T...Loe edasi...
This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). It focuses on graphic displays of results as these are a core strength of using R for statistical analysis, and uses statistical...Loe edasi...
Factor Analysis and Dimension Reduction in R provides coverage with worked examples of a large number of dimension reduction procedures along with model performance metrics to compare them. This book will be suitable for graduate level and optional...Loe edasi...
Statistics are used throughout businesses to present and analyse data and decide on best practice. This Book provides a practical approach to these concepts and their applications in business, economics, and other areas of data analytics....Loe edasi...
This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses....Loe edasi...
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from speci...Loe edasi...
The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from speci...Loe edasi...
Researchers and students who want a more accessible alternative to the EQS manual will find exactly what theyre looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or...Loe edasi...
(Ilmumisaeg: 20-Jan-2004, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9780471475767)
Serving as a bridge to prepare social scientists and students for professional-level use of statistics, this volume outlines the main numerical estimations issues along with various means of avoiding specific common pitfalls....Loe edasi...
This text presents multivariate statistical methods, accompanied by examples relevant to students in marketing and business concentrations, making extensive use of the SAS package of statistical programs....Loe edasi...
First Published in 2004. Learning how to analyze qualitative data by computer can be fun. That is one assumption underpinning this introduction to qualitative analysis, which takes account of how computing techniques have enhanced and transformed th...Loe edasi...
