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Data analysis, Judd, Charles M. Mcclelland, Gary H. Ryan, Carey S



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Цена: 5493р.
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Автор: Judd, Charles M. Mcclelland, Gary H. Ryan, Carey S
Название:  Data analysis
ISBN: 9780805833881
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0805833889
Обложка/Формат: Hardback
Страницы: 344
Вес: 0.771 кг.
Дата издания: 15.09.2008
Язык: English
Издание: 2 rev ed
Иллюстрации: 65 black & white illustrations, 107 black & white tables, 65 black & white line drawings
Размер: 25.40 x 17.78 x 2.29 cm
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: A model comparison approach
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии



      Новое издание
Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819824 ISBN-13(EAN): 9781138819825
Издательство: Taylor&Francis
Цена: 19250 р.
Наличие на складе: Невозможна поставка.
Описание:

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model.  

Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach.  

Highlights of the third edition include:

  • a new chapter on logistic regression;
  • expanded treatment of mixed models for data with multiple random factors;
  • updated examples;
  • an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.



Автор: Enders, Craig K.
Название: Applied Missing Data Analysis
ISBN: 1606236393 ISBN-13(EAN): 9781606236390
Издательство: Taylor&Francis
Рейтинг:
Цена: 7286 р.
Наличие на складе: Невозможна поставка.

Описание: Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research.

Applied Survey Data Analysis, Second Edition

Автор: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
Рейтинг:
Цена: 10311 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more step-by-step examples of modern approaches to the analysis of survey data using the newest statistical software.

Designed for readers working in a wide array of disciplines who use survey data in their work, this book continues to provide a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. An example-driven guide to the applied statistical analysis and interpretation of survey data, the second edition contains many new examples and practical exercises based on recent versions of real-world survey data sets. Although the authors continue to use Stata for most examples in the text, they also continue to offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book's updated Web site.

Discrete Data Analysis with R

Автор: Friendly
Название: Discrete Data Analysis with R
ISBN: 149872583X ISBN-13(EAN): 9781498725835
Издательство: Taylor&Francis
Рейтинг:
Цена: 10999 р.
Наличие на складе: Поставка под заказ.

Описание: An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data. It explains how to use graphical methods for exploring data, spotting unusual features, visualizing fitted models, and presenting results. The book is designed for advanced undergraduate and graduate students in the social and health sciences, epidemiology, economics, business, statistics, and biostatistics as well as researchers, methodologists, and consultants who can use the methods with their own data and analyses. Along with describing the necessary statistical theory, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to organize data, conduct an analysis, produce informative graphs, and evaluate what the graphs reveal about the data. The first part of the book contains introductory material on graphical methods for discrete data, basic R skills, and methods for fitting and visualizing one-way discrete distributions. The second part focuses on simple, traditional nonparametric tests and exploratory methods for visualizing patterns of association in two-way and larger frequency tables. The final part of the text discusses model-based methods for the analysis of discrete data. Web ResourceThe data sets and R software used, including the authors’ own vcd and vcdExtra packages, are available at http://cran.r-project.org.

Regression analysis for the social scien

Автор: Gordon, Rachel A
Название: Regression analysis for the social scien
ISBN: 0415991544 ISBN-13(EAN): 9780415991544
Издательство: Taylor&Francis
Рейтинг:
Цена: 13750 р.
Наличие на складе: Поставка под заказ.

Описание:

The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

Key features of the book include:

  • interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature.
  • thorough integration of teaching statistical theory with teaching data processing and analysis.
  • teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.
Research design and statistical analysis

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
Рейтинг:
Цена: 16500 р.
Наличие на складе: Невозможна поставка.

Описание: Provides coverage of the design principles and statistical concepts necessary to make sense of real data. This book provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. It reviews research planning and data exploration in statistics. It is suitable for practicing researchers.

Statistical power analysis with missing data

Автор: Davey, Adam Savla, Jyoti
Название: Statistical power analysis with missing data
ISBN: 0805863702 ISBN-13(EAN): 9780805863703
Издательство: Taylor&Francis
Рейтинг:
Цена: 5499 р.
Наличие на складе: Поставка под заказ.

Описание: A Structural Equation Modeling Approach. .

Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819824 ISBN-13(EAN): 9781138819825
Издательство: Taylor&Francis
Рейтинг:
Цена: 19250 р.
Наличие на складе: Невозможна поставка.

Описание:

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model.  

Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach.  

Highlights of the third edition include:

  • a new chapter on logistic regression;
  • expanded treatment of mixed models for data with multiple random factors;
  • updated examples;
  • an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.

Data Analysis

Автор: Judd
Название: Data Analysis
ISBN: 1138819832 ISBN-13(EAN): 9781138819832
Издательство: Taylor&Francis
Рейтинг:
Цена: 9624 р.
Наличие на складе: Поставка под заказ.

Описание:

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model.  

Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach.  

Highlights of the third edition include:

  • a new chapter on logistic regression;
  • expanded treatment of mixed models for data with multiple random factors;
  • updated examples;
  • an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.

Analysis of Multivariate Social Science Data, Second Edition

Название: Analysis of Multivariate Social Science Data, Second Edition
ISBN: 1584889608 ISBN-13(EAN): 9781584889601
Издательство: Taylor&Francis
Рейтинг:
Цена: 6736 р.
Наличие на складе: Поставка под заказ.

Описание: Exploring how to use key multivariate methods in the social sciences, this book contains three chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents various examples of real-world applications and establishes an approach to latent variable modeling.

Applied Survey Data Analysis

Автор: Heeringa
Название: Applied Survey Data Analysis
ISBN: 1420080660 ISBN-13(EAN): 9781420080667
Издательство: Taylor&Francis
Рейтинг:
Цена: 9211 р.
Наличие на складе: Поставка под заказ.

Описание: With many examples and exercises based on major real-world survey data sets, this book provides a practical statistical overview of the analysis of complex sample survey data. It presents many methods and models for survey data analysis, including the linear regression, generalized linear, Cox proportional hazards, and discrete time models. It also explores new developments in advanced statistical techniques, such as multilevel analysis of survey data. The authors show how design characteristics are easily incorporated into the statistical methods and software for survey estimation and inference. Although Stata is used for most examples in the text, other software code is also offered on the book’s website.

Multilevel analysis

Автор: Hox, Joop J.
Название: Multilevel analysis
ISBN: 1848728468 ISBN-13(EAN): 9781848728462
Издательство: Taylor&Francis
Рейтинг:
Цена: 4674 р.
Наличие на складе: Поставка под заказ.

Описание: Helps readers apply multilevel techniques to their research. This book discusses basic models and examples, emphasising on understanding the methodological and statistical issues involved in using these models. It demonstrates the estimation and interpretation of multilevel models using realistic examples from various disciplines.

Advanced quantitative data analysis

Автор: Cramer, Duncan
Название: Advanced quantitative data analysis
ISBN: 0335200591 ISBN-13(EAN): 9780335200597
Издательство: McGraw-Hill
Рейтинг:
Цена: 4536 р.
Наличие на складе: Поставка под заказ.

Описание: What do advanced statistical techniques do? When is it appropriate to use them? How are they carried out and reported? There are a variety of statistical techniques that are used to analyse quantitative data. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results.


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