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| factor analysis has been used to assess whether: Assessing Measurement Invariance for Applied Research Craig S. Wells, 2021-06-03 This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data. |
| factor analysis has been used to assess whether: Best Practices in Exploratory Factor Analysis Jason W. Osborne, 2014-07-23 Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focusing on evidence-based best practices so you can focus on getting the most from your data.Each chapter reviews important concepts, uses real-world data to provide authentic examples of analyses, and provides guidance for interpreting the results of these analysis. Not only does this book clarify often-confusing issues like various extraction techniques, what rotation is really rotating, and how to use parallel analysis and MAP criteria to decide how many factors you have, but it also introduces replication statistics and bootstrap analysis so that you can better understand how precisely your data are helping you estimate population parameters. Bootstrap analysis also informs readers of your work as to the likelihood of replication, which can give you more credibility. At the end of each chapter, the author has recommendations as to how to enhance your mastery of the material, including access to the data sets used in the chapter through his web site. Other resources include syntax and macros for easily incorporating these progressive aspects of exploratory factor analysis into your practice. The web site will also include enrichment activities, answer keys to select exercises, and other resources. The fourth best practices book by the author, Best Practices in Exploratory Factor Analysis continues the tradition of clearly-written, accessible guides for those just learning quantitative methods or for those who have been researching for decades.NEW in August 2014! Chapters on factor scores, higher-order factor analysis, and reliability. Chapters: 1 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 2 EXTRACTION AND ROTATION 3 SAMPLE SIZE MATTERS 4 REPLICATION STATISTICS IN EFA 5 BOOTSTRAP APPLICATIONS IN EFA 6 DATA CLEANING AND EFA 7 ARE FACTOR SCORES A GOOD IDEA? 8 HIGHER ORDER FACTORS 9 AFTER THE EFA: INTERNAL CONSISTENCY 10 SUMMARY AND CONCLUSIONS |
| factor analysis has been used to assess whether: Exploratory Factor Analysis Leandre R. Fabrigar, Duane T. Wegener, 2012-01-12 This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, and procedures for determining the appropriate number of factors. |
| factor analysis has been used to assess whether: A Concise Guide to Market Research Marko Sarstedt, Erik Mooi, 2014-08-07 This accessible, practice-oriented and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22 and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. A comprehensive Web appendix includes additional analysis techniques, datasets, video files and case studies. Tags in the text allow readers to quickly access Web content with their mobile device. The new edition features: Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data) New material on data description (e.g., outlier detection and missing value analysis) Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb Uses IBM SPSS version 22 |
| factor analysis has been used to assess whether: Making Sense of Factor Analysis Marjorie A. Pett, Nancy R. Lackey, John J. Sullivan, 2003-03-21 Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers. |
| factor analysis has been used to assess whether: Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide Agency for Health Care Research and Quality (U.S.), 2013-02-21 This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov) |
| factor analysis has been used to assess whether: Individual Differences and Personality Michael C. Ashton, 2013-03-21 How do we come to be who we are? Why do we differ in our personalities? How do these differences matter in life? Individual Differences and Personality aims to describe how and why personality varies among people. Unlike books that focus on individual theorists, this book focuses on current research and theory on the nature of personality and related individual differences. The book begins by discussing how personality is measured, the concept of a personality trait, and the basic dimensions of personality. This leads to a discussion of the origins of personality, with descriptions of its developmental course, its biological causes, its genetic and environmental influences, and its evolutionary function. The concept of a personality disorder is then described, followed by a discussion of the influence of personality on life outcomes in relationships, work, and health. Finally, the book examines the important differences between individuals in the realms of mental abilities, of beliefs and attitudes, and of behavior. - Presents a scientific approach to personality and related individual differences, as well as theory and research on the fundamental questions about human psychological variation - New edition presents findings from dozens of new research studies of the past six years - Includes new chapter on vocational interests and a revised chapter on personality disorders reflecting DSM-5 formulation - Contains streamlined descriptions of measurement concepts and heritability research - Includes various boxes containing interesting asides that help to maintain the student's attention |
| factor analysis has been used to assess whether: Measurement Theory and Applications for the Social Sciences Deborah L. Bandalos, 2018-01-31 Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. ÿ |
| factor analysis has been used to assess whether: The Measurement of Health and Health Status Paul Krabbe, 2016-10-07 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 |
| factor analysis has been used to assess whether: Easy Statistics for Food Science with R Abbas F.M. Alkarkhi, Wasin A. A. Alqaraghuli, 2018-09-18 Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs. This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. - Contains numerous step-by-step tutorials help the reader to learn quickly - Covers the theory and application of the statistical techniques - Shows how to analyze data using R software - Provides R scripts for all examples and figures |
| factor analysis has been used to assess whether: Down and Out Peter Saunders, 2011 And implications P.208 |
| factor analysis has been used to assess whether: The Psychology of Humor Rod A. Martin, Thomas Ford, 2018-07-14 Most of us laugh at something funny multiple times during a typical day. Humor serves multiple purposes, and although there is a sizable and expanding research literature on the subject, the research is spread in a variety of disciplines. The Psychology of Humor, 2e reviews the literature, integrating research from across subdisciplines in psychology, as well as related fields such as anthropology, biology, computer science, linguistics, sociology, and more. This book begins by defining humor and presenting theories of humor. Later chapters cover cognitive processes involved in humor and the effects of humor on cognition. Individual differences in personality and humor are identified as well as the physiology of humor, the social functions of humor, and how humor develops and changes over the lifespan. This book concludes noting the association of humor with physical and mental health, and outlines applications of humor use in psychotherapy, education, and the workplace. In addition to being fully updated with recent research, the second edition includes a variety of new materials. More graphs, tables, and figures now illustrate concepts, processes, and theories. It provides new brief interviews with prominent humor scholars via text boxes. The end of each chapter now includes a list of key concepts, critical thinking questions, and a list of resources for further reading. - Covers research on humor and laughter in every area of psychology - Integrates research findings into a coherent conceptual framework - Includes brain imaging studies, evolutionary models, and animal research - Integrates related information from sociology, linguistics, neuroscience, and anthropology - Explores applications of humor in psychotherapy, education, and the workplace - Provides new research, plus key concepts and chapter summaries |
| factor analysis has been used to assess whether: Psychological Testing in the Service of Disability Determination Institute of Medicine, Board on the Health of Select Populations, Committee on Psychological Testing, Including Validity Testing, for Social Security Administration Disability Determinations, 2015-06-29 The United States Social Security Administration (SSA) administers two disability programs: Social Security Disability Insurance (SSDI), for disabled individuals, and their dependent family members, who have worked and contributed to the Social Security trust funds, and Supplemental Security Income (SSSI), which is a means-tested program based on income and financial assets for adults aged 65 years or older and disabled adults and children. Both programs require that claimants have a disability and meet specific medical criteria in order to qualify for benefits. SSA establishes the presence of a medically-determined impairment in individuals with mental disorders other than intellectual disability through the use of standard diagnostic criteria, which include symptoms and signs. These impairments are established largely on reports of signs and symptoms of impairment and functional limitation. Psychological Testing in the Service of Disability Determination considers the use of psychological tests in evaluating disability claims submitted to the SSA. This report critically reviews selected psychological tests, including symptom validity tests, that could contribute to SSA disability determinations. The report discusses the possible uses of such tests and their contribution to disability determinations. Psychological Testing in the Service of Disability Determination discusses testing norms, qualifications for administration of tests, administration of tests, and reporting results. The recommendations of this report will help SSA improve the consistency and accuracy of disability determination in certain cases. |
| factor analysis has been used to assess whether: Introduction to Factor Analysis Jae-On Kim, Charles W. Mueller, 1978-11 Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs. |
| factor analysis has been used to assess whether: Organizational citizenship behaviors among public employees. A structural equation modeling approach Filadelfo León Cázares, 2012-12-03 This book represents a ground-breaking attempt to assess the impact of public employees´ perceptions on public sector performance in a Latin american and Caribbean context. It opens a window to a generally ignored public sector by ilustrating teh excent to wich public eployees´ engagement in citizenship behaviors affect their organizations, as well as how these interdependent relationships underpin actual performance. It offers penetrating insights on public service motivation, transformational leadership, and employee satisfaction and trus. Apart from the psychological insights, this study also establishes a bridge for scholars to undertake comparative studies of public sector performance globally. |
| factor analysis has been used to assess whether: Introduction to Statistics in Psychology Dennis Howitt, Duncan Cramer, 2008 Introduction to Statistics in Psychology4th edition is the complete guide to statistics for psychology students. Its range is exceptional in order to meet student needs throughout their undergraduate degree and beyond. By keeping to simple mathematics, step by step explanations of all the important statistical concepts, tests and procedures ensure that students understand data analysis properly. Pedagogical features such as ‘research design issues’, ‘calculations’ and the advice boxes help structure study into manageable sections whilst the overview and key points help with revision. Plus this 4th edition includes even more examples to bring to life how different statistical tests can be used in different areas of psychology. |
| factor analysis has been used to assess whether: Scale Development Robert F. DeVellis, 2016-03-30 In the Fourth Edition of Scale Development, Robert F. DeVellis demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The text supports readers in comprehending newer approaches to measurement, comparing them to classical approaches, and grasping more clearly the relative merits of each. This edition addresses new topics pertinent to modern measurement approaches and includes additional exercises and topics for class discussion. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more. |
| factor analysis has been used to assess whether: Structural Equation Modeling With AMOS Barbara M. Byrne, 2001-04 This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and appli. |
| factor analysis has been used to assess whether: Emerging Technologies for Education Zuzana Kubincová, |
| factor analysis has been used to assess whether: Cochrane Handbook for Systematic Reviews of Interventions Julian P. T. Higgins, Sally Green, 2008-11-24 Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves. |
| factor analysis has been used to assess whether: Promoting Statistical Practice and Collaboration in Developing Countries O. Olawale Awe, Kim Love, Eric A. Vance, 2022-06-07 Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contains some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable, and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy! —David Banks from the Foreword Promoting Statistical Practice and Collaboration in Developing Countries provides new insights into the current issues and opportunities in international statistics education, statistical consulting, and collaboration, particularly in developing countries around the world. The book addresses the topics discussed in individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries. Features • Reference point on statistical practice in developing countries for researchers, scholars, students, and practitioners • Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics • Collection of innovative statistical teaching and learning techniques in developing countries Each chapter consists of independent case study contributions on a particular theme that are developed with a common structure and format. The common goal across the chapters is to enhance the exchange of diverse educational and action-oriented information among our intended audiences, which include practitioners, researchers, students, and statistics educators in developing countries. |
| factor analysis has been used to assess whether: An Introduction to Psychological Assessment and Psychometrics Keith Coaley, 2010-01-20 This accessible book outlines the key ingredients of psychological assessment and provides case studies to illustrate their application, making this an ideal textbook for courses on psychometrics or psychological assessment. The book covers the nature of assessment, basic components, how tests are made, underlying statistics, reliability and validity, assessment of intelligence, abilities and personality, non-psychometric approaches, as well as ethical and professional issues and modern developments. A final chapter explains how readers can construct their own tests. Wide-ranging case studies demonstrate the variety of contexts in which assessment is conducted. The author’s clarity of writing and use of practical examples throughout helps students apply these methods in practice with confidence as part of their studies on an array of courses. |
| factor analysis has been used to assess whether: Secondary Teachers at Work Jim Campbell, S. R. St. J. Neill, 2012-11-12 The first part of this book charts and analyses 2,688 working days of 384 teachers in 91 LEAs in 1991. It shows how they spent their working lives, how well matched their teaching was to their academic background, and the balance between teaching and other aspects of their work. The analysis uses five major categories: Teaching, Preparation, Administration, Professional Development and Other Activities. The authors argue that there is an occupational split between `the managers' and `the teachers'. The second part comments on the findings by relating them to issues of school management, and teacher professionalism, arguing that `conscientiousness' poses a professional dilemma for secondary teachers. |
| factor analysis has been used to assess whether: The Nature of Mathematical Thinking Robert J. Sternberg, Talia Ben-Zeev, 2012-10-12 Why do some children seem to learn mathematics easily and others slave away at it, learning it only with great effort and apparent pain? Why are some people good at algebra but terrible at geometry? How can people who successfully run a business as adults have been failures at math in school? How come some professional mathematicians suffer terribly when trying to balance a checkbook? And why do school children in the United States perform so dismally in international comparisons? These are the kinds of real questions the editors set out to answer, or at least address, in editing this book on mathematical thinking. Their goal was to seek a diversity of contributors representing multiple viewpoints whose expertise might converge on the answers to these and other pressing and interesting questions regarding this subject. The chapter authors were asked to focus on their own approach to mathematical thinking, but also to address a common core of issues such as the nature of mathematical thinking, how it is similar to and different from other kinds of thinking, what makes some people or some groups better than others in this subject area, and how mathematical thinking can be assessed and taught. Their work is directed to a diverse audience -- psychologists interested in the nature of mathematical thinking and abilities, computer scientists who want to simulate mathematical thinking, educators involved in teaching and testing mathematical thinking, philosophers who need to understand the qualitative aspects of logical thinking, anthropologists and others interested in how and why mathematical thinking seems to differ in quality across cultures, and laypeople and others who have to think mathematically and want to understand how they are going to accomplish that feat. |
| factor analysis has been used to assess whether: Testing Statistical Assumptions in Research J. P. Verma, Abdel-Salam G. Abdel-Salam, 2019-04-02 Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts. |
| factor analysis has been used to assess whether: Research Design in Chinese Medicine Dongcheng Li, 2025-01-03 Research Design in Chinese Medicine: Linking Social and Health Sciences is an innovative and comprehensive guide that bridges the ancient wisdom of Traditional Chinese Medicine (TCM) with modern research methods in social and health sciences. Authored by an expert with a background in Chinese medicine and a doctorate in education from Johns Hopkins University, this book is set to revolutionize the way TCM is studied and practiced in the contemporary world. Designed for a diverse readership, from TCM students and practitioners to those in social sciences and holistic medicine, the book provides a unique integration of traditional techniques and modern research approaches. It offers invaluable resources for Doctor of Acupuncture and Herbal Medicine (DAHM) students, helping them deepen and refine their research skills. Additionally, it serves as an essential academic tool for educators in TCM and related fields, perfectly suited for course adoption in over 50 accredited acupuncture schools within the U.S. and extending its reach globally. Research Design in Chinese Medicine: Linking Social and Health Sciences offers a balanced emphasis on both qualitative and quantitative research approaches. This holistic methodology ensures that readers gain a full spectrum of knowledge, from formulating research questions to conducting ethical studies. The step-by-step guide provided in the book is supplemented with a wealth of resources, including a dedicated website, downloadable templates, and case studies, making it not just a book but a complete learning experience. The book is positioned to be a key resource in the field of TCM research. Its interdisciplinary approach and practical guidance make it invaluable to anyone looking to conduct meaningful research in TCM. The combination of the author's expertise and the practical tools offered makes this book a must-have for students, practitioners, and researchers in the field. |
| factor analysis has been used to assess whether: Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt, Nicholas P. Danks, Soumya Ray, 2021-11-03 Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM. |
| factor analysis has been used to assess whether: The Handbook of Comparative Communication Research Frank Esser, Thomas Hanitzsch, 2013-06-19 The Handbook of Comparative Communication Research aims to provide a comprehensive understanding of comparative communication research. It fills an obvious gap in the literature and offers an extensive and interdisciplinary discussion of the general approach of comparative research, its prospect and problems as well as its applications in crucial sub-fields of communications. The first part of the volume charts the state of the art in the field; the second section introduces relevant areas of communication studies where the comparative approach has been successfully applied in recent years; the third part offers an analytical review of conceptual and methodological issues; and the last section proposes a roadmap for future research. |
| factor analysis has been used to assess whether: The Oxford Handbook of Hoarding and Acquiring Randy O. Frost, Gail Steketee, 2014 Hoarding involves the acquisition of and inability to discard large numbers of possessions that clutter the living area of the person collecting them. It becomes a disorder when the behavior causes significant distress or interferes with functioning. Hoarding can interfere with activities of daily living (such as being able to sit in chairs or sleep in a bed), work efficiency, family relationships, as well as health and safety. Hoarding behavior can range from mild to life-threatening. Epidemiological findings suggest that hoarding occurs in 2-6% of the adult population, making it two to three times more common than obsessive-compulsive disorder. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) now includes Hoarding Disorder as a distinct disorder within the OCD and Related Anxiety Disorders section, creating a demand for information about it. The Oxford Handbook of Hoarding and Acquiring is the first volume to detail the empirical research on hoarding. Including contributions from all of the leading researchers in the field, this comprehensive volume is divided into four sections in addition to introductory and concluding chapters by the editors: Phenomenology, Epidemiology, and Diagnosis; Etiology; Assessment and Intervention; and Hoarding in Special Populations. The summaries of research and clinical interventions contained here clarify the emotional and behavioral features, diagnostic challenges, and nature of the treatment interventions for this new disorder. This handbook will be a critical resource for both practitioners and researchers, including psychiatrists, psychologists, neurologists, epidemiologists, social workers, occupational therapists, and other health and mental health professionals who encounter clients with hoarding problems in their practice and research. |
| factor analysis has been used to assess whether: Emotions as key drivers of consumer behaviors: A multidisciplinary perspective Debora Bettiga, Giuliano Noci, Omneya Yacout, 2023-04-04 |
| factor analysis has been used to assess whether: Measuring the Quality of Education Paul Vedder, 2020-09-30 This book contains a selection of articles on measuring the quality of education from the perspective of the importance of theories on education, changing effects of education, curriculum dependent or curriculum independent measurement, product and process evaluation, and global curricula. |
| factor analysis has been used to assess whether: BMDP Statistical Software Manual W. J. Dixon, Wilfrid Joseph Dixon, 1988-01-01 |
| factor analysis has been used to assess whether: Individuals as Producers of Their Own Development Richard M. Lerner, 2021-03-30 In the World Library of Psychologists series, international experts present career-long collections of what they judge to be their most interesting publications—extracts from books, key articles, research findings, and practical and theoretical contributions. Professor Richard M. Lerner has been prominent in the application of developmental science across the life span for half a century, investigating dynamic, relational development systems, and their potential impact on positive youth development (PYD) and social justice. In this collection, Professor Lerner presents the development of his theory of, and research about, relations between life-span human development and contextual or ecological change, exploring the mutually influential relations between humans and their peer, family, school, and community contexts. Including a specially written introduction, in which Professor Lerner reflects on the importance of mentorship and contextualises both the field and the evolution of his wide-ranging career, this collection will be a valuable resource for students and researchers of developmental psychology. |
| factor analysis has been used to assess whether: Methods for Testing and Evaluating Survey Questionnaires Stanley Presser, Jennifer M. Rothgeb, Mick P. Couper, Judith T. Lessler, Elizabeth Martin, Jean Martin, Eleanor Singer, 2004-08-16 The definitive resource for survey questionnaire testing and evaluation Over the past two decades, methods for the development, evaluation, and testing of survey questionnaires have undergone radical change. Research has now begun to identify the strengths and weaknesses of various testing and evaluation methods, as well as to estimate the methods’ reliability and validity. Expanding and adding to the research presented at the International Conference on Questionnaire Development, Evaluation and Testing Methods, this title presents the most up-to-date knowledge in this burgeoning field. The only book dedicated to the evaluation and testing of survey questionnaires, this practical reference work brings together the expertise of over fifty leading, international researchers from a broad range of fields. The volume is divided into seven sections: Cognitive interviews Mode of administration Supplements to conventional pretests Special populations Experiments Multi-method applications Statistical modeling Comprehensive and carefully edited, this groundbreaking text offers researchers a solid foundation in the latest developments in testing and evaluating survey questionnaires, as well as a thorough introduction to emerging techniques and technologies. |
| factor analysis has been used to assess whether: Readings in Ethnic Psychology Pamela Balls Organista, Kevin Chun, Gerardo Marin, 2013-11-26 This pioneering reader is a collection of fundamental writings on the influence of culture and ethnicity on human social behavior. An overview of current psychological knowledge about African Americans, Asian Americans, American Indians, and Hispanics/Latinos in the United States, Readings in Ethnic Psychology addresses basic concepts in the field--race, ethnic identity, acculturation and biculturalism. In addition, psychosocial conditions such as risk behaviors, adaptive health behaviors, psychological distress, and culturally appropriate interventions are also explored. |
| factor analysis has been used to assess whether: Kelley and Firestein's Textbook of Rheumatology Gary S. Firestein, Ralph C. Budd, Sherine E Gabriel, Iain B McInnes, James R. O'Dell, 2016-06-21 Consult the definitive resource in rheumatology for an in-depth understanding of scientific advances as they apply to clinical practice. Masterfully edited by Drs. Gary S. Firestein, Ralph C. Budd, Sherine E. Gabriel, Iain B. McInnes, and James R. O'Dell, and authored by internationally renowned scientists and clinicians in the field, Kelley and Firestein’s Textbook of Rheumatology, 10th Edition, delivers the knowledge you need for accurate diagnoses and effective patient care. From basic science, immunology, anatomy, and physiology to diagnostic tests, procedures, and specific disease processes, this state-of-the-art reference provides a global, authoritative perspective on the manifestations, diagnosis and treatment of rheumatic diseases. An ideal balance of the basic science you need to know and how to apply that information to clinical practice. An integrated chapter format allows you to review basic science advances and their clinical implications in one place and get dependable, evidence-based guidance for the full range of rheumatologic diseases and syndromes. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. New content on the latest diagnostic perspectives and approaches to therapy, including five brand-new chapters: Metabolic Regulation of Immunity, Principles of Signaling, Research Methods in the Rheumatic Diseases, Novel Intracellular Targeting Agents, and IgG4-Related Diseases. New and expanded chapter topics on small molecule treatment, biologics, biomarkers, epigenetics, biosimilars, and cell-based therapies. More schematic diagrams clearly summarize information and facilitate understanding. |
| factor analysis has been used to assess whether: Modern Psychometrics with R Patrick Mair, 2018-09-20 This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences. |
| factor analysis has been used to assess whether: A Guide to Assessments That Work John Hunsley, Eric J. Mash, 2018-04-06 The first edition of A Guide To Assessments That Work provided a much needed resource on evidence-based psychological assessment. Since the publication of the first edition, a number of advances have been made in the assessment field and a revised diagnostic system for mental disorders has been introduced. These changes are reflected in the second edition and new chapters have been included to cover the use of evidence-based assessment instruments and procedures in clinical practice and the use of evidence-based principles to integrate and interpret assessment data. This volume addresses the assessment of the most commonly encountered disorders or conditions among children, adolescents, adults, older adults, and couples. Strategies and instruments for assessing mood disorders, anxiety and related disorders, couple distress and sexual problems, health-related problems, and many other conditions are reviewed by leading experts. With a focus throughout on assessment instruments that are feasible, psychometrically sound, and useful for typical clinical requirements, this edition features the use of a rating system designed to provide evaluations of a measure's norms, reliability, validity, and clinical utility. Standardized tables summarize this information in each chapter, providing essential information on the most scientifically sound tools available for a range of assessment needs. With its focus on clinically relevant instruments and assessment tasks, this volume provides readers with the essential information for conducting the best evidence-based mental health assessments currently possible. |
| factor analysis has been used to assess whether: International Handbook of Research on Teachers' Beliefs Helenrose Fives, Michele Gregoire Gill, 2014-08-21 Teacher beliefs play a fundamental role in the education landscape. Nevertheless, most educational researchers only allude to teacher beliefs as part of a study on other subjects. This book fills a necessary gap by identifying the importance of research on teacher beliefs and providing a comprehensive overview of the topic. It provides novices and experts alike a single volume with which to understand a complex research landscape. Including a review of the historical foundations of the field, this book identifies current research trends, and summarizes the current knowledge base regarding teachers’ specific beliefs about content, instruction, students, and learning. For its innumerable applications within the field, this handbook is a necessity for anyone interested in educational research. |
| factor analysis has been used to assess whether: The Sage Handbook of Survey Development and Application Lucy R. Ford, Terri A. Scandura, 2023-06-29 The SAGE Handbook of Survey Development and Application provides a practical resource that researchers can go to for cutting-edge tools to ensure they are employing the best survey research techniques. This handbook not only covers the classic and innovational skills and approaches involved at every step of the survey research process, but also centres itself around applied, how-to guidance to aid readers in best practice. Chapters engage with a broad range of topics including sampling issues, approaches to establishment of measurement equivalence, and the use of online labour pools in survey development. With contributions from a global community of leading and emerging scholars across a wide variety of disciplines, this Handbook is focused on being applicable and accessible across the social sciences. Containing over 120 tables and figures, checklists and tutorial guides, The SAGE Handbook of Survey Development and Application will serve as a one stop resource for survey research. This handbook serves as a touchstone for a variety of fields such as Organizational Behavior, Industrial & Organizational Psychology, Management, Psychology, Educational Research, Marketing, Public Policy, and others. PART 1: Conceptual Issues and Operational Definition PART 2: Research Design Considerations PART 3: Item Development PART 4: Scale Improvement Methods PART 5: Data Collection PART 6: Data Management and Analysis PART 7: Research Production and Dissemination PART 8: Applications |
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