Introduction to Statistical Mediation Analysis Book PDF

Introduction to Statistical Mediation Analysis

  • Author : David MacKinnon
  • Publisher : Routledge
  • Release Date : 2012-10-02
  • Genre : Medical
  • Pages : 488
  • ISBN : 9781136676147

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Introduction to Statistical Mediation Analysis Book Description :

This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology. The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.

Introduction to Statistical Mediation Analysis Book PDF

Introduction to Statistical Mediation Analysis

  • Author : David MacKinnon
  • Publisher : Routledge
  • Release Date : 2012-10-02
  • Genre : Medical
  • Pages : 488
  • ISBN : 9781136676130

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Introduction to Statistical Mediation Analysis Book Description :

This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology. The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.

Introduction to Mediation  Moderation  and Conditional Process Analysis  Second Edition Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis Second Edition

  • Author : Andrew F. Hayes
  • Publisher : Guilford Publications
  • Release Date : 2017-12-13
  • Genre : Social Science
  • Pages : 692
  • ISBN : 9781462534654

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Introduction to Mediation Moderation and Conditional Process Analysis Second Edition Book Description :

Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS. New to This Edition *Chapters on using each type of analysis with multicategorical antecedent variables. *Example analyses using PROCESS v3, with annotated outputs throughout the book. *More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderat∨ using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more. *Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation. *Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models.

Doing Statistical Mediation and Moderation Book PDF

Doing Statistical Mediation and Moderation

  • Author : Paul E. Jose
  • Publisher : Guilford Press
  • Release Date : 2013-03-28
  • Genre : Psychology
  • Pages : 336
  • ISBN : 9781462508211

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Doing Statistical Mediation and Moderation Book Description :

"Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; "Helpful Suggestions" about procedures and pitfalls; "Knowledge Boxes" delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website provides downloadable sample data sets that are used in the book to demonstrate particular analytic strategies, and explains how researchers and students can execute analyses using Jose's online programs, MedGraph and ModGraph. Appendices present SPSS, AMOS, and Mplus syntax for conducting the key types of analyses"--

Introduction to Mediation  Moderation  and Conditional Process Analysis Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis

  • Author : Andrew F. Hayes
  • Publisher : Guilford Press
  • Release Date : 2013-04-22
  • Genre : Psychology
  • Pages : 507
  • ISBN : 9781462511273

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Introduction to Mediation Moderation and Conditional Process Analysis Book Description :

Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known as conditional process analysis. Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book. The companion website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples. Unique features include: *Compelling examples (presumed media influence, sex discrimination in the workplace, and more) with real data; boxes with SAS, SPSS, and PROCESS code; and loads of tips, including how to report mediation, moderation and conditional process analyses. *Appendix that presents documentation on use and features of PROCESS. *Online supplement providing data, code, and syntax for the book's examples.

An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists Book PDF

An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists

  • Author : Nikos Ntoumanis
  • Publisher : John Wiley & Sons
  • Release Date : 2016-01-19
  • Genre : Mathematics
  • Pages : 312
  • ISBN : 9781118962053

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An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists Book Description :

Ntoumanis and Myers have done sport and exercise science researchers and students a tremendous service in producing An Introduction to Intermediate and Advanced Statistical Analyses for Sport and Exercise Scientists. This book has an outstanding compilation of comprehensible chapters dealing with the important concepts and technical minutia of the statistical analyses that sport and exercise science scholars use (or should be using!) in their efforts to conduct meaningful research in the field. It is a resource that all sport and exercise scientists and their students should have on their book shelves. Robert Eklund, School of Sport, University of Stirling, UK Motivating, to have a statistics text devoted to enabling researchers studying sport and exercise science to apply the most sophisticated analytical techniques to their data. Authors hit the mark between using technical language as necessary and user-friendly terms or translations to keep users encouraged. Text covers traditional and well-used tools but also less common and more complex tools, but always with familiar examples to make their explanations come alive. As a dynamic systems theorist and developmentalist, I would love to see more researchers in my area create study designs that would enable the use of tools outlined here, such as multilevel structural equation modeling (MSEM) or mediation & moderation analyses, to uncover cascades of relations among subsystems contributing to motor performance, over time. This text can facilitate that outcome. Beverly D. Ulrich, School of Kinesiology, University of Michigan, USA The domain of quantitative methods is constantly evolving and expanding. This means that there is tremendous pressure on researchers to stay current, both in terms of best practices and improvements in more traditional methods as well as increasingly complex new methods. With this volume Ntoumanis and Myers present a nice cross-section of both, helping sport and exercise science researchers

Applied Univariate  Bivariate  and Multivariate Statistics Using Python Book PDF

Applied Univariate Bivariate and Multivariate Statistics Using Python

  • Author : Daniel J. Denis
  • Publisher : John Wiley & Sons
  • Release Date : 2021-04-30
  • Genre : Mathematics
  • Pages : 304
  • ISBN : 9781119578178

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Applied Univariate Bivariate and Multivariate Statistics Using Python Book Description :

Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students

The Reviewer   s Guide to Quantitative Methods in the Social Sciences Book PDF

The Reviewer s Guide to Quantitative Methods in the Social Sciences

  • Author : Gregory R. Hancock
  • Publisher : Routledge
  • Release Date : 2018-11-15
  • Genre : Education
  • Pages : 502
  • ISBN : 9781317627791

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The Reviewer s Guide to Quantitative Methods in the Social Sciences Book Description :

The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.

Handbook on Measurement  Assessment  and Evaluation in Higher Education Book PDF

Handbook on Measurement Assessment and Evaluation in Higher Education

  • Author : Charles Secolsky
  • Publisher : Routledge
  • Release Date : 2017-07-31
  • Genre : Education
  • Pages : 738
  • ISBN : 9781317485544

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

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.

Structural Equation Modeling for Health and Medicine Book PDF

Structural Equation Modeling for Health and Medicine

  • Author : Douglas D. Gunzler
  • Publisher : CRC Press
  • Release Date : 2021-04-12
  • Genre : Mathematics
  • Pages : 319
  • ISBN : 9781351329712

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Structural Equation Modeling for Health and Medicine Book Description :

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

Handbook of Research Methods in Consumer Psychology Book PDF

Handbook of Research Methods in Consumer Psychology

  • Author : Frank R. Kardes
  • Publisher : Routledge
  • Release Date : 2019-04-15
  • Genre : Psychology
  • Pages : 528
  • ISBN : 9781351137706

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Handbook of Research Methods in Consumer Psychology Book Description :

What impact can various research methods have on consumer psychology? How can they help us understand the workings of the consumer mind? And how can the field of consumer psychology best utilize these methods? In the Handbook of Research Methods in Consumer Psychology, leading consumer psychologists summarize key aspects of the research process and explain how different methods enrich understanding of how consumers process information to form judgments and opinions and to make consumption-related decisions. Kardes, Herr, and Schwarz provide an in-depth analysis of the scientific research methods needed to understand consumption-related judgments and decisions. The book is split into five parts, demonstrating the breadth of the volume: classic approaches, contemporary approaches, online research methods, data analysis, and philosophy of science. A variety of leading researchers give insight into a wide range of topics, reflecting both long-standing debate and more recent developments in the field to encourage discussion and the advancement of consumer research. The Handbook of Research Methods in Consumer Psychology is essential reading for researchers, students, and professionals interested in consumer psychology and behavior.

Applied Multivariate Research Book PDF

Applied Multivariate Research

  • Author : Lawrence S. Meyers
  • Publisher : SAGE Publications
  • Release Date : 2016-10-28
  • Genre : Social Science
  • Pages : 1016
  • ISBN : 9781506329789

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Applied Multivariate Research Book Description :

Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Handbook for Clinical Research Book PDF

Handbook for Clinical Research

  • Author : Ralph Buschbacher, MD
  • Publisher : Demos Medical Publishing
  • Release Date : 2014-08-26
  • Genre : Medical
  • Pages : 290
  • ISBN : 9781617050992

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Handbook for Clinical Research Book Description :

With over 80 information-packed chapters, Handbook for Clinical Research delivers the practical insights and expert tips necessary for successful research design, analysis, and implementation. Using clear language and an accessible bullet point format, the authors present the knowledge and expertise developed over time and traditionally shared from mentor to mentee and colleague to colleague. Organized for quick access to key topics and replete with practical examples, the book describes a variety of research designs and statistical methods and explains how to choose the best design for a particular project. Research implementation, including regulatory issues and grant writing, is also covered. The book opens with a section on the basics of research design, discussing the many ways in which studies can be organized, executed, and evaluated. The second section is devoted to statistics and explains how to choose the correct statistical approach and reviews the varieties of data types, descriptive and inferential statistics, methods for demonstrating associations, hypothesis testing and prediction, specialized methods, and considerations in epidemiological studies and measure construction. The third section covers implementation, including how to develop a grant application step by step, the project budget, and the nuts and bolts of the timely and successful completion of a research project and documentation of findings: procedural manuals and case report forms; collecting, managing and securing data; operational structure and ongoing monitoring and evaluation; and ethical and regulatory concerns in research with human subjects. With a concise presentation of the essentials for successful research, the Handbook for Clinical Research is a valuable addition to the library of any student, research professional, or clinician interested in expanding the knowledge base of his or her field. Key Features: Delivers the essential elements, practical insights, and trade secrets

Advances in Experimental Political Science Book PDF

Advances in Experimental Political Science

  • Author : James Druckman
  • Publisher : Cambridge University Press
  • Release Date : 2021-04-01
  • Genre : Political Science
  • Pages : 231
  • ISBN : 9781108804370

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Advances in Experimental Political Science Book Description :

Experimental political science has changed. In two short decades, it evolved from an emergent method to an accepted method to a primary method. The challenge now is to ensure that experimentalists design sound studies and implement them in ways that illuminate cause and effect. Ethical boundaries must also be respected, results interpreted in a transparent manner, and data and research materials must be shared to ensure others can build on what has been learned. This book explores the application of new designs; the introduction of novel data sources, measurement approaches, and statistical methods; the use of experiments in more substantive domains; and discipline-wide discussions about the robustness, generalizability, and ethics of experiments in political science. By exploring these novel opportunities while also highlighting the concomitant challenges, this volume enables scholars and practitioners to conduct high-quality experiments that will make key contributions to knowledge.

Teaching Statistics and Quantitative Methods in the 21st Century Book PDF

Teaching Statistics and Quantitative Methods in the 21st Century

  • Author : Joseph Lee Rodgers
  • Publisher : Routledge
  • Release Date : 2020-07-14
  • Genre : Education
  • Pages : 296
  • ISBN : 9780429810213

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Teaching Statistics and Quantitative Methods in the 21st Century Book Description :

This work, which provides a guide for revising and expanding statistical and quantitative methods pedagogy, is useful for novice and seasoned instructors at both undergraduate and graduate levels, inspiring them to use transformative approaches to train students as future researchers. Is it time for a radical revision in our pedagogical orientation? How are we currently teaching introductory statistics and quantitative methods, and how should we teach them? What innovations are used, what is in development? This ground-breaking edited volume addresses these questions and more, providing cutting-edge guidance from highly accomplished teachers. Many current textbooks and syllabi differ in only superficial ways from those used 50 years ago, yet the field of quantitative methods—and its relationship to the research enterprise—has expanded in many important ways. A philosophical axiom underlying this book is that introductory teaching should prepare students to potentially enter more advanced quantitative methods training and ultimately to become accomplished researchers. The reader is introduced to classroom innovation, and to both pragmatic and philosophical challenges to the status quo, motivating a broad revolution in how introductory statistics and quantitative methods are taught. Designed to update and renovate statistical pedagogy, this material will stimulate students, new instructors, and experienced teachers.

Causality in a Social World Book PDF

Causality in a Social World

  • Author : Guanglei Hong
  • Publisher : John Wiley & Sons
  • Release Date : 2015-06-12
  • Genre : Mathematics
  • Pages : 448
  • ISBN : 9781119030645

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Causality in a Social World Book Description :

Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

Statistical Analysis of Microbiome Data with R Book PDF

Statistical Analysis of Microbiome Data with R

  • Author : Yinglin Xia
  • Publisher : Springer
  • Release Date : 2018-10-06
  • Genre : Computers
  • Pages : 505
  • ISBN : 9789811315343

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Statistical Analysis of Microbiome Data with R Book Description :

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research.

Applied Statistics  From Bivariate Through Multivariate Techniques Book PDF

Applied Statistics From Bivariate Through Multivariate Techniques

  • Author : Rebecca M. Warner
  • Publisher : SAGE
  • Release Date : 2012-04-10
  • Genre : Mathematics
  • Pages : 1172
  • ISBN : 9781412991346

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Applied Statistics From Bivariate Through Multivariate Techniques Book Description :

Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.