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Author: Donald Thomas Campbell
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 202
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Book Description
Author: Donald Thomas Campbell
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 202
Get Book Here
Book Description
Author: David MacKinnon
Publisher: Routledge
ISBN: 1136676147
Category : Medical
Languages : en
Pages : 488
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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.
Author: Joel A. C. Baum
Publisher: SAGE Publications
ISBN: 1452221685
Category : Business & Economics
Languages : en
Pages : 465
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Book Description
In my judgment this book in honor of Donald T. Campbell will be very influential and highly cited. . . . It will become a must read for Ph.D. students and scholars in strategy and organization theory. —Arie Lewin, Duke University "The topics in this volume are cutting edge, and the contributors are first-rate. The book is well anchored—Donald T. Campbell has had a profound influence on the field. Moreover, the book is well-conceptualized—socio-cultural evolution, co-evolution, methods modeling, and epistemology are key issues in organization science right now. —Michael Tushman, Harvard University If he were an assistant professor today, what would social science giant Donald T. Campbell be pursuing in the field of organization science? Joel A. C. Baum and Bill McKelvey explore this question in Variations in Organization Science. This volume reveals and celebrates Campbell′s many contributions to organization science by presenting new variations that stem directly from his work. Rather than analyze Campbell′s theories, the authors present ideas that Campbell might have pursued if he were currently a doctoral student. This volume is unique in its focus on coevolution and multilevel coevolutionary analysis, as well as in its range of subject matter from empirical studies to leading-edge epistemological discourses. Each of the book′s four main sections focuses on a major aspect of Campbell′s legacy: blind variation, selection, and retention; multilevel coevolution; process level analysis and modeling; and epistemology and methodology. In addition, the volume includes a Foreward by Barbara Frankel Campbell and an unusual Appendix: Donald Campbell′s complete curriculum vitae. Variations in Organization Science should be on the top of the reading list for any organization scientist interested in organizational evolution, change, and competitiveness. This volume will also appeal to any scholar interested in the human and social capital base of firms and how organizational knowledge and learning work to provide the basis of competitive advantage.
Author: Jason T. Newsom
Publisher: Taylor & Francis
ISBN: 1000905985
Category : Psychology
Languages : en
Pages : 785
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Book Description
Longitudinal Structural Equation Modeling is a comprehensive resource that reviews structural equation modeling (SEM) strategies for longitudinal data to help readers determine which modeling options are available for which hypotheses. This accessibly written book explores a range of models, from basic to sophisticated, including the statistical and conceptual underpinnings that are the building blocks of the analyses. By exploring connections between models, it demonstrates how SEM is related to other longitudinal data techniques and shows when to choose one analysis over another. Newsom emphasizes concepts and practical guidance for applied research rather than focusing on mathematical proofs, and new terms are highlighted and defined in the glossary. Figures are included for every model along with detailed discussions of model specification and implementation issues and each chapter also includes examples of each model type, descriptions of model extensions, comment sections that provide practical guidance, and recommended readings. Expanded with new and updated material, this edition includes many recent developments, a new chapter on growth mixture modeling, and new examples. Ideal for graduate courses on longitudinal (data) analysis, advanced SEM, longitudinal SEM, and/or advanced data (quantitative) analysis taught in the behavioral, social, and health sciences, this new edition will continue to appeal to researchers in these fields.
Author: Susan A. Nolan
Publisher: Macmillan
ISBN: 9781429206358
Category : Mathematics
Languages : en
Pages : 508
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Book Description
This manual for the statistical packages SG & SPSS accompanies 'Statistics for the Behavioral Sciences'
Author: Schuyler Huck
Publisher: Routledge
ISBN: 1317311566
Category : Psychology
Languages : en
Pages : 321
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Book Description
This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author’s accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists – examples and claimed prevalence Why the Misconception is Dangerous – consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.
Author: Paul Irwing
Publisher: John Wiley & Sons
ISBN: 1118489705
Category : Education
Languages : en
Pages : 1064
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Book Description
A must-have resource for researchers, practitioners, and advanced students interested or involved in psychometric testing Over the past hundred years, psychometric testing has proved to be a valuable tool for measuring personality, mental ability, attitudes, and much more. The word ‘psychometrics’ can be translated as ‘mental measurement’; however, the implication that psychometrics as a field is confined to psychology is highly misleading. Scientists and practitioners from virtually every conceivable discipline now use and analyze data collected from questionnaires, scales, and tests developed from psychometric principles, and the field is vibrant with new and useful methods and approaches. This handbook brings together contributions from leading psychometricians in a diverse array of fields around the globe. Each provides accessible and practical information about their specialist area in a three-step format covering historical and standard approaches, innovative issues and techniques, and practical guidance on how to apply the methods discussed. Throughout, real-world examples help to illustrate and clarify key aspects of the topics covered. The aim is to fill a gap for information about psychometric testing that is neither too basic nor too technical and specialized, and will enable researchers, practitioners, and graduate students to expand their knowledge and skills in the area. Provides comprehensive coverage of the field of psychometric testing, from designing a test through writing items to constructing and evaluating scales Takes a practical approach, addressing real issues faced by practitioners and researchers Provides basic and accessible mathematical and statistical foundations of all psychometric techniques discussed Provides example software code to help readers implement the analyses discussed
Author: Stephen Sutton
Publisher: SAGE
ISBN: 184787164X
Category : Psychology
Languages : en
Pages : 447
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Book Description
The SAGE Handbook of Health Psychology represents a landmark work in the field, gathering together in a single volume contributions from an internationally renowned group of scholars. It provides a definitive, one-stop, authoritative guide to the major themes and debates in health psychology, both past and present, and should in time become a classic reference work for a wide, international readership. Its coverage is comprehensive, both traditional and innovative, and reflects the latest in global health psychology research from a wide perspective. This includes the latest work in epidemiology of health and illness, health-related cognitions, chronic illness, interventions in changing health behaviour, research methods in health psychology and biological mechanisms of health and disease. As a result its potential as an authoritative entry point to those new to the discipline as well as those already working inside it is very high. Given its breadth of content and accessibility, the Handbook will be indispensable for advanced students as well as researchers. Expertly organized by editors of international stature, and authored by a similar team of luminaries in the field, this single volume Handbook is an essential purchase for individuals and librarians worldwide. Advisory Editors: Professor Karen Matthews PhD University of Pittsburgh School of Medicine Prof. Dr. Ralf Schwarzer Freie Universität Berlin Professor Shelley Taylor PhD UCLA Professor Jane Wardle University College London Professor Robert West St. George′s Hospital Medical School
Author: A. T. Panter
Publisher: Routledge
ISBN: 1136888721
Category : Psychology
Languages : en
Pages : 508
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Book Description
This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices. The order of the Handbook chapters parallels the chronology of the research process: determining the research design and data collection; data analysis; and communicating findings. Each chapter: Explores the ethics of a particular topic Identifies prevailing methodological issues Reviews strategies and approaches for handling such issues and their ethical implications Provides one or more case examples Outlines plausible approaches to the issue including best-practice solutions. Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers’ approach to data analysis are examined in Part 4 – when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process. This Handbook appeals to researchers and practitioners in psychology, human development, family studies, health, education, sociology, social work, political science, and business/marketing. This book is also a valuable supplement for quantitative methods courses required of all graduate students in these fields.
Author: Yaacov Petscher
Publisher: Routledge
ISBN: 1136266321
Category : Education
Languages : en
Pages : 390
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Book Description
To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.
