Mathematics
Multiple Regression in Practice
Author: William D Berry
Publisher: SAGE
ISBN: 0803920547
Category: Mathematics
Page: 100
View: 278
The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
Education
Multiple Regression and Beyond
Author: Timothy Z. Keith
Publisher: Routledge
ISBN: 9781351667937
Category: Education
Page: 640
View: 248
Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources
Business & Economics
Multiple Regression
Author: Leona S. Aiken
Publisher: SAGE
ISBN: 0761907122
Category: Business & Economics
Page: 228
View: 164
This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics.
Social Science
Principles and Practice of Structural Equation Modeling, Fourth Edition
Author: Rex B. Kline
Publisher: Guilford Publications
ISBN: 9781462523009
Category: Social Science
Page: 534
View: 982
Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan). New to This Edition *Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examples of troublesome data, demonstrating how to handle typical problems in analyses. *Topic boxes on specialized issues, such as causes of nonpositive definite correlations. *Boxed rules to remember. *Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.
Social Science
Principles and Practice of Structural Equation Modeling, Fourth Edition
Author: Rex B. Kline
Publisher: Guilford Publications
ISBN: 9781462523351
Category: Social Science
Page: 553
View: 233
New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.
Commercial statistics
Business Statistics
Author: J. K. Sharma
Publisher: Pearson Education India
ISBN: 8177586548
Category: Commercial statistics
Page: 752
View: 863
Business & Economics
The Economics of Health and Health Care
Author: Sherman Folland
Publisher: Routledge
ISBN: 9781315510729
Category: Business & Economics
Page: 625
View: 503
For courses in Health Economics, U.S. Health Policy/Systems, or Public Health, taken by health services students or practitioners, the text makes economic concepts the backbone of its health care coverage. Folland, Goodman and Stano's book is the bestselling Health Care Economics text that teaches through core economic themes, rather than concepts unique to the health care economy. This edition contains revised and updated data tables, where applicable. The advent of the Patient Protection and Affordable Care Act (PPACA) in 2010 has also led to changes in many chapters , most notably in the organization and focus of Chapter 16.
Computers
Intermediate Statistics
Author: Brett W. Pelham
Publisher: SAGE
ISBN: 9781412994989
Category: Computers
Page: 449
View: 892
Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.
Social Science
Best Practices in Quantitative Methods
Author: Jason W. Osborne
Publisher: SAGE Publications
ISBN: 9781483333052
Category: Social Science
Page: 608
View: 851
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Evidence-based medicine
Meditation practices for health state of the research
Author:
Publisher: DIANE Publishing
ISBN: 1422324893
Category: Evidence-based medicine
Page: 476
View: 449
Social Science
Research Methods, Statistics, and Applications
Author: Kathrynn A. Adams
Publisher: SAGE Publications
ISBN: 9781071817841
Category: Social Science
Page: 696
View: 958
The third edition of Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire consistently integrates the interrelated concepts of research methods and statistics to better explain how the research process requires a combination of these two elements. This best-selling combined text includes numerous examples and practical applications from the latest research across the social and behavioral sciences. The conversational tone and emphasis on decision-making engages students in the research process and demonstrates the value of rigorous research in academic settings and beyond. The end goal of this book is to spark students′ interest in conducting research and to increase their ability to critically analyze research in their daily lives. The third edition includes a new chapter on measurement to better highlight the critical importance of this topic, updates for the 7th edition of the Publication Manual of the American Psychological Association, new examples related to social justice, a new section on case studies, and more thorough integration of research ethics information and tips throughout each chapter.