Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences
Author: Brian S. Everitt
Publsiher: CRC Press
Total Pages: 320
Release: 2009-09-28
ISBN: 1439807701
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences Book Excerpt:

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring

Latent Markov Models for Longitudinal Data

Latent Markov Models for Longitudinal Data
Author: Francesco Bartolucci,Alessio Farcomeni,Fulvia Pennoni
Publsiher: CRC Press
Total Pages: 252
Release: 2012-10-29
ISBN: 1466583711
Category: Mathematics
Language: EN, FR, DE, ES & NL

Latent Markov Models for Longitudinal Data Book Excerpt:

Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in economics, education, sociology, and other fields. The R and MATLAB® routines used for the examples are available on the authors’ website. The book provides you with the essential background on latent variable models, particularly the latent class model. It discusses how the Markov chain model and the latent class model represent a useful paradigm for latent Markov models. The authors illustrate the assumptions of the basic version of the latent Markov model and introduce maximum likelihood estimation through the Expectation-Maximization algorithm. They also cover constrained versions of the basic latent Markov model, describe the inclusion of the individual covariates, and address the random effects and multilevel extensions of the model. After covering advanced topics, the book concludes with a discussion on Bayesian inference as an alternative to maximum likelihood inference. As longitudinal data become increasingly relevant in many fields, researchers must rely on specific statistical and econometric models tailored to their application. A complete overview of latent Markov models, this book demonstrates how to use the models in three types of analysis: transition analysis with measurement errors, analyses that consider unobserved heterogeneity, and finding clusters of units and studying the transition between the clusters.

Foundations of Factor Analysis

Foundations of Factor Analysis
Author: Stanley A Mulaik
Publsiher: CRC Press
Total Pages: 548
Release: 2009-09-25
ISBN: 1420099817
Category: Mathematics
Language: EN, FR, DE, ES & NL

Foundations of Factor Analysis Book Excerpt:

Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited e

Applied Survey Data Analysis

Applied Survey Data Analysis
Author: Steven G. Heeringa,Brady T. West,Patricia A. Berglund
Publsiher: CRC Press
Total Pages: 487
Release: 2010-04-05
ISBN: 9781420080674
Category: Mathematics
Language: EN, FR, DE, ES & NL

Applied Survey Data Analysis Book Excerpt:

Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available software procedures while reinforcing the principles and theory that underlie those methods. After introducing a step-by-step process for approaching a survey analysis problem, the book presents the fundamental features of complex sample designs and shows how to integrate design characteristics into the statistical methods and software for survey estimation and inference. The authors then focus on the methods and models used in analyzing continuous, categorical, and count-dependent variables; event history; and missing data problems. Some of the techniques discussed include univariate descriptive and simple bivariate analyses, the linear regression model, generalized linear regression modeling methods, the Cox proportional hazards model, discrete time models, and the multiple imputation analysis method. The final chapter covers new developments in survey applications of advanced statistical techniques, including model-based analysis approaches. Designed for readers working in a wide array of disciplines who use survey data in their work, this book also provides a useful framework for integrating more in-depth studies of the theory and methods of survey data analysis. A guide to the applied statistical analysis and interpretation of survey data, it contains many examples and practical exercises based on major real-world survey data sets. Although the authors use Stata for most examples in the text, they offer SAS, SPSS, SUDAAN, R, WesVar, IVEware, and Mplus software code for replicating the examples on the book’s website: http://www.isr.umich.edu/src/smp/asda/

Informative Hypotheses

Informative Hypotheses
Author: Herbert Hoijtink
Publsiher: CRC Press
Total Pages: 241
Release: 2011-10-26
ISBN: 1439880522
Category: Mathematics
Language: EN, FR, DE, ES & NL

Informative Hypotheses Book Excerpt:

When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they fo

Linear Causal Modeling with Structural Equations

Linear Causal Modeling with Structural Equations
Author: Stanley A. Mulaik
Publsiher: CRC Press
Total Pages: 468
Release: 2009-06-16
ISBN: 9781439800393
Category: Mathematics
Language: EN, FR, DE, ES & NL

Linear Causal Modeling with Structural Equations Book Excerpt:

Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear causal relations. In addition to describing how the functional relation concept may be generalized to treat probabilistic causation, the book reviews historical treatments of causation and explores recent developments in experimental psychology on studies of the perception of causation. It looks at how to perceive causal relations directly by perceiving quantities in magnitudes and motions of causes that are conserved in the effects of causal exchanges. The author surveys the basic concepts of graph theory useful in the formulation of structural models. Focusing on SEM, he shows how to write a set of structural equations corresponding to the path diagram, describes two ways of computing variances and covariances of variables in a structural equation model, and introduces matrix equations for the general structural equation model. The text then discusses the problem of identifying a model, parameter estimation, issues involved in designing structural equation models, the application of confirmatory factor analysis, equivalent models, the use of instrumental variables to resolve issues of causal direction and mediated causation, longitudinal modeling, and nonrecursive models with loops. It also evaluates models on several dimensions and examines the polychoric and polyserial correlation coefficients and their derivation. Covering the fundamentals of algebra and the history of causality, this book provides a solid understanding of causation, linear causal modeling, and SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models.

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables
Author: Michael Smithson,Edgar C. Merkle
Publsiher: CRC Press
Total Pages: 308
Release: 2013-09-05
ISBN: 1466551755
Category: Mathematics
Language: EN, FR, DE, ES & NL

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables Book Excerpt:

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.The book provides br

The SAGE Handbook of Multilevel Modeling

The SAGE Handbook of Multilevel Modeling
Author: Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx
Publsiher: SAGE
Total Pages: 696
Release: 2013-08-31
ISBN: 1446265978
Category: Reference
Language: EN, FR, DE, ES & NL

The SAGE Handbook of Multilevel Modeling Book Excerpt:

In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

The British National Bibliography

The British National Bibliography
Author: Arthur James Wells
Publsiher: Unknown
Total Pages: 135
Release: 2009
ISBN: 1928374650XXX
Category: Bibliography, National
Language: EN, FR, DE, ES & NL

The British National Bibliography Book Excerpt:

Handbook on Measurement Assessment and Evaluation in Higher Education

Handbook on Measurement  Assessment  and Evaluation in Higher Education
Author: Charles Secolsky,D. Brian Denison
Publsiher: Routledge
Total Pages: 738
Release: 2017-07-31
ISBN: 1317485548
Category: Education
Language: EN, FR, DE, ES & NL

Handbook on Measurement Assessment and Evaluation in Higher Education Book Excerpt:

In this valuable resource, well-known scholars present a detailed understanding of contemporary theories and practices in the fields of measurement, assessment, and evaluation, with guidance on how to apply these ideas for the benefit of students and institutions. Bringing together terminology, analytical perspectives, and methodological advances, this second edition facilitates informed decision-making while connecting the latest thinking in these methodological areas with actual practice in higher education. This research handbook provides higher education administrators, student affairs personnel, institutional researchers, and faculty with an integrated volume of theory, method, and application.

Analysis of Multivariate Social Science Data Second Edition

Analysis of Multivariate Social Science Data  Second Edition
Author: David J. Bartholomew,Fiona Steele,Jane Galbraith,Irini Moustaki
Publsiher: Chapman and Hall/CRC
Total Pages: 384
Release: 2008-06-04
ISBN: 9781584889601
Category: Mathematics
Language: EN, FR, DE, ES & NL

Analysis of Multivariate Social Science Data Second Edition Book Excerpt:

Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models. After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data. Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research. Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.

The Essence of Multivariate Thinking

The Essence of Multivariate Thinking
Author: Lisa L. Harlow
Publsiher: Psychology Press
Total Pages: 264
Release: 2005-02-17
ISBN: 113565297X
Category: Education
Language: EN, FR, DE, ES & NL

The Essence of Multivariate Thinking Book Excerpt:

The Essence of Multivariate Thinking is intended to make multivariate statistics more accessible to a wide audience. To encourage a more thorough understanding of multivariate methods, author Lisa Harlow suggests basic themes that run through most statistical methodology. The most pervasive theme is multiplicity. The author argues that the use of multivariate methods encourages multiple ways of investigating phenomena. She explains that widening our lens to identify multiple theories, constructs, measures, samples, methods, and time points provide greater reliability and validity in our research. Dr. Harlow then shows how these themes are applied to several multivariate methods, with the hope that this will ease understanding in the basic concepts of multivariate thinking. Formulas are kept at a minimum. The first three chapters review the core themes that run through multivariate methods. Seven different multivariate methods are then described using 10 questions that illuminate the main features, uses, multiplicity, themes, interpretations, and applications. The seven methods covered are multiple regression, analysis of covariance, multivariate analysis of variance, discriminant function analysis, logistic regression, canonical correlation, and principal components/factor analysis. The final chapter pulls together the principal themes and features charts that list common themes and how they pertain to each of the methods discussed. The Essence of Multivariate Thinking, features: A unique focus on the underlying themes that run through most multivariate methods. A dual focus on significance tests and effect sizes to encourage readers to adopt a thorough approach to assessing the significance and magnitude of their findings. A detailed example for each method to delineate how the multivariate themes apply. Tabular results from statistical analysis programs that mirror sections of the output files. A common dataset throughout the chapters to provide continuity with the variables and research questions. A CD with data, SAS program setup and output, homework exercises, and chapter lectures. This book is useful to advanced students, professionals, and researchers interested in applying multivariate methods in such fields as behavioral medicine, social, health, personality, developmental, cognitive, and industrial-organizational psychology, as well as in education and evaluation. A preliminary knowledge of basic statistics, research methods, basic algebra, and finite mathematics is recommended.

Applied Medical Statistics Using SAS

Applied Medical Statistics Using SAS
Author: Geoff Der,Brian S. Everitt
Publsiher: CRC Press
Total Pages: 559
Release: 2012-10-01
ISBN: 1439867976
Category: Mathematics
Language: EN, FR, DE, ES & NL

Applied Medical Statistics Using SAS Book Excerpt:

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data. Features Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation Illustrates methods of randomisation that might be employed for clinical trials Covers topics that have become of great importance in the 21st century, including Bayesian methods and multiple imputation Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health. Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus

Doing Better Statistics in Human Computer Interaction

Doing Better Statistics in Human Computer Interaction
Author: Paul Cairns
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2019-02-07
ISBN: 1108665225
Category: Reference
Language: EN, FR, DE, ES & NL

Doing Better Statistics in Human Computer Interaction Book Excerpt:

Each chapter of this book covers specific topics in statistical analysis, such as robust alternatives to t-tests or how to develop a questionnaire. They also address particular questions on these topics, which are commonly asked by human-computer interaction (HCI) researchers when planning or completing the analysis of their data. The book presents the current best practice in statistics, drawing on the state-of-the-art literature that is rarely presented in HCI. This is achieved by providing strong arguments that support good statistical analysis without relying on mathematical explanations. It additionally offers some philosophical underpinnings for statistics, so that readers can see how statistics fit with experimental design and the fundamental goal of discovering new HCI knowledge.

American Book Publishing Record

American Book Publishing Record
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2002
ISBN: 1928374650XXX
Category: Books
Language: EN, FR, DE, ES & NL

American Book Publishing Record Book Excerpt:

The Measurement of Health and Health Status

The Measurement of Health and Health Status
Author: Paul Krabbe
Publsiher: Academic Press
Total Pages: 380
Release: 2016-10-07
ISBN: 0128017201
Category: Medical
Language: EN, FR, DE, ES & NL

The Measurement of Health and Health Status Book Excerpt:

The Measurement of Health and Health Status: Concepts, Methods and Applications from a Multidisciplinary Perspective presents a unifying perspective on how to select the best measurement framework for any situation. Serving as a one-stop shop that unifies material currently available in various locations, this book illuminates the intuition behind each method, explaining how each method has special purposes, what developments are occurring, and how new combinations among methods might be relevant to specific situations. It especially emphasizes the measurement of health and health states (quality-of-life), giving significant attention to newly developed methods. The book introduces technically complex, new methods for both introductory and technically-proficient readers. Assumes that the best measure depends entirely on the situation Covers preference-based methods, classical test theory, and item response theory Features illustrations and animations drawn from diverse fields and disciplines

Forthcoming Books

Forthcoming Books
Author: Rose Arny
Publsiher: Unknown
Total Pages: 135
Release: 1988-09
ISBN: 1928374650XXX
Category: American literature
Language: EN, FR, DE, ES & NL

Forthcoming Books Book Excerpt: