Assessing Measurement Invariance for Applied Research PDF Download
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Author: Craig S. Wells
Publisher: Cambridge University Press
ISBN: 1108485227
Category : Education
Languages : en
Pages : 417
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Book Description
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Author: Craig S. Wells
Publisher: Cambridge University Press
ISBN: 1108485227
Category : Education
Languages : en
Pages : 417
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Book Description
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Author: Christof Wolf
Publisher: SAGE
ISBN: 1473959047
Category : Social Science
Languages : en
Pages : 1065
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Book Description
Survey Methodology is becoming a more structured field of research, deserving of more and more academic attention. The SAGE Handbook of Survey Methodology explores both the increasingly scientific endeavour of surveys and their growing complexity, as different data collection modes and information sources are combined. The handbook takes a global approach, with a team of international experts looking at local and national specificities, as well as problems of cross-national, comparative survey research. The chapters are organized into seven major sections, each of which represents a stage in the survey life-cycle: Surveys and Societies Planning a Survey Measurement Sampling Data Collection Preparing Data for Use Assessing and Improving Data Quality The SAGE Handbook of Survey Methodology is a landmark and essential tool for any scholar within the social sciences.
Author: Timothy A. Brown
Publisher: Guilford Publications
ISBN: 146251779X
Category : Science
Languages : en
Pages : 482
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Book Description
This accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA) for its emphasis on practical and conceptual aspects rather than mathematics or formulas. Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities ...
Author: Amy L. Reschly
Publisher: Springer Nature
ISBN: 3031078535
Category : Psychology
Languages : en
Pages : 672
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Book Description
The second edition of the handbook reflects the expanding growth and sophistication in research on student engagement. Editorial scope and coverage are significantly expanded in the new edition, including numerous new chapters that address such topics as child and adolescent well-being, resilience, and social-emotional learning as well as extending student engagement into the realm of college attendance and persistence. In addition to its enhanced focus on student engagement as a means for promoting positive youth development, all original chapters have been extensively revised and updated, including those focusing on such foundational topics related to student engagement as motivation, measurement, high school dropout, school reform, and families. Key areas of coverage include: Demography and structural barriers to student engagement. Developmental and social contexts of student engagement. Student engagement and resilience. Engaging students through effective academic instruction and classroom management. Social-emotional learning and student mental health and physical well-being. Student engagement across the globe, languages, and cultures. The second edition of the Handbook of Research on Student Engagement is the definitive resource for researchers, scientist-practitioners and clinicians as well as graduate students in such varied fields as clinical child and school psychology, social work, public health, educational psychology, teaching and teacher education, educational policy, and all interrelated disciplines.
Author: Sumaya Laher
Publisher: Cambridge University Press
ISBN: 1108485006
Category : Business & Economics
Languages : en
Pages : 397
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Book Description
This book brings together expert research on the history of psychological assessment across the continents and spanning over 50 countries.
Author: María Elena Oliveri
Publisher: Cambridge University Press
ISBN: 1108472265
Category : Education
Languages : en
Pages : 411
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Book Description
Reveals practices and issues in higher education admissions, which are critical factors for improving worldwide access and equity.
Author: Lawrence S. Meyers
Publisher: SAGE Publications
ISBN: 1506329780
Category : Social Science
Languages : en
Pages : 938
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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.
Author: Andreas Maur
Publisher: Springer Nature
ISBN: 3658416203
Category : Social Science
Languages : en
Pages : 424
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Book Description
Digital tools and pedagogies in public higher education are unfolding their potential by providing large groups of students with automated, continuous learning and feedback opportunities. However, most of the existing studies are cross-sectional, unidirectional and focus on a limited selection of relevant target variables and instructional features. In a field study, Andreas Maur used longitudinal latent structural equation modelling with a large sample of students to analyse the interrelations between formative feedback from electronic quizzes and different facets of the control value theory of achievement emotions. The results suggest that regular quizzes most consistently improve self-efficacy, anxiety, effort, course enjoyment, and hopelessness over time. Only feedback effects related to intrinsic motivation were consistently less effective for female and less proficient students, and for students in traditional versus flipped classrooms. These findings highlight the need to scale up formative feedback in higher education and to cultivate feedback systems with higher levels of sophistication, adaptability, and gamification mechanics.
Author: Jean-Claude Usunier
Publisher: SAGE
ISBN: 1526414414
Category : Business & Economics
Languages : en
Pages : 201
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Book Description
Successfully combining cross-cultural management and business research methods, this team of international authors provide much-needed coverage of the implications that should be considered when undertaking research across different cultures. Through the implementation of methodological pluralism, the book investigates the various cultural influences that affect business theories and practices across the world, particularly the specific management styles, behavioural standards and consumer attitudes that exist in developing nations. Examples and theoretical understanding as well as vignettes, diagrams and figures are used to illustrate these key considerations, including: Language and the role of the dominant culture Design and implementation Methodological issues Strategies for improving its relevance within international business. Ideal for students, researchers and practitioners looking to do business research in an international or cross-cultural context.
Author: W. Holmes Finch
Publisher: Routledge
ISBN: 1317970756
Category : Psychology
Languages : en
Pages : 328
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Book Description
This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text’s boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple groups CFA/SEM, least squares estimation, growth curve models, mixture models, item response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. The book concludes with a discussion of how data simulation can be used to better understand the workings of a statistical method and assist researchers in deciding on the necessary sample size prior to collecting data. A mixture of independently developed R code along with available libraries for simulating latent models in R are provided so readers can use these simulations to analyze data using the methods introduced in the previous chapters. Intended for use in graduate or advanced undergraduate courses in latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, and social and health sciences, researchers in these fields also appreciate this book’s practical approach. The book provides sufficient conceptual background information to serve as a standalone text. Familiarity with basic statistical concepts is assumed but basic knowledge of R is not.
