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| Author | : A. Y. M. Atiquil Islam |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : Education, Higher |
| ISBN | : 9781032471419 |
| Author | : A.Y.M. Atiquil Islam |
| Publisher | : CRC Press |
| Total Pages | : 149 |
| Release | : 2023-06-16 |
| Genre | : Education |
| ISBN | : 1000890716 |
This book introduces the fundamentals of the technology satisfaction model (TSM), supporting readers in applying the Rasch model and structural equation modeling (SEM) – a multivariate technique – to higher education (HE) research. User satisfaction is traditionally measured along a single dimension. However, the TSM includes digital technologies for teaching, learning and research across three dimensions: computer efficacy, perceived ease of use and perceived usefulness. Establishing relationships among these factors is a challenge. Although commonly used in psychology to trace relationships, Rasch and SEM approaches are rarely used in educational technology or library and information science. This book, therefore, shows that combining these two analytical tools offers researchers better options for measurement and generalisation in HE research. This title presents theoretical and methodological insights of use to researchers in HE.
| Author | : A. Y. M. Antiquil Islam |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : PSYCHOLOGY |
| ISBN | : 9781003384724 |
This book introduces the fundamentals of the technology satisfaction model (TSM), supporting readers in applying the Rasch model and structural equation modeling (SEM) - a multivariate technique - to higher education (HE) research. User satisfaction is traditionally measured along a single dimension. However, the TSM includes digital technologies for teaching, learning and research across three dimensions: computer efficacy, perceived ease of use and perceived usefulness. Establishing relationships among these factors is a challenge. Although commonly used in psychology to trace relationships, Rasch and SEM approaches are rarely used in educational technology or library and information science. This book, therefore, shows that combining these two analytical tools offers researchers better options for measurement and generalisation in HE research. This title presents theoretical and methodological insights of use to researchers in HE.
| Author | : Myint Swe Khine |
| Publisher | : Springer Nature |
| Total Pages | : 281 |
| Release | : 2020-01-01 |
| Genre | : Education |
| ISBN | : 9811518009 |
This book focuses on the use of the Rasch measurement model in validation studies and in analyzing the psychometric properties of a variety of test instruments, questionnaires, and scales in international contexts. It broadly examines the development and application of Rasch modeling, providing in-depth analyses of the properties of various scales used in the fields of education, and humanities and social sciences research. The book includes exemplary works on educational research and practices that highlight recent and innovative applications, as well as theoretical and practical aspects of Rasch modeling. Readers will find it helpful to understand the latest approaches to Rasch measurement in educational research, as well as practices for future studies and quantitative research. 'This book provides a diverse set of perspectives on Rasch models from scholars across the globe. The volume is both theoretical and applied. The first section of the book provides an overview of Rasch modeling and explains the theoretical and conceptual framework underlying the Rasch model. The remainder of the book highlights multiple applications of the Rasch model within educational assessment as well as several examples of how Rasch modeling can be used for validation studies. This volume showcases the wide variety of ways in which Rasch modeling can be applied to assessment data to provide insights into students’ achievement and learning and to improve instruction.'–Betsy McCoach, University of Connecticut, USA. 'A well-written collection of articles. Grouped by the theoretical and applied aspects of Rasch measurement, each chapter in this edited volume makes notable contributions to knowledge and practice. Written by leading scholars in the field, these chapters were written in a clear, succinct, and assertive manner, providing readers with up-to-date information, analyses, and debates. This book should be found in the core collection of emerging researchers and established scholars in educational measurement.'–Timothy Teo, Murdoch University, Australia.
| Author | : Trevor Bond |
| Publisher | : Routledge |
| Total Pages | : 348 |
| Release | : 2020-07-19 |
| Genre | : Psychology |
| ISBN | : 0429641516 |
Recognised as the most influential publication in the field, ARM facilitates deep understanding of the Rasch model and its practical applications. The authors review the crucial properties of the model and demonstrate its use with examples across the human sciences. Readers will be able to understand and critically evaluate Rasch measurement research, perform their own Rasch analyses and interpret their results. The glossary and illustrations support that understanding, and the accessible approach means that it is ideal for readers without a mathematical background. Highlights of the new edition include: More learning tools to strengthen readers’ understanding including chapter introductions, boldfaced key terms, chapter summaries, activities and suggested readings. Greater emphasis on the use of R packages; readers can download the R code from the Routledge website. Explores the distinction between numerical values, quantity and units, to understand the measurement and the role of the Rasch logit scale (Chapter 4). A new four-option data set from the IASQ (Instrumental Attitude towards Self-assessment Questionnaire) for the Rating Scale Model (RSM) analysis exemplar (Chapter 6). Clarifies the relationship between Rasch measurement, path analysis and SEM, with a host of new examples of Rasch measurement applied across health sciences, education and psychology (Chapter 10). Intended as a text for graduate courses in measurement, item response theory, (advanced) research methods or quantitative analysis taught in psychology, education, human development, business, and other social and health sciences. Professionals in these areas will also appreciate the book’s accessible introduction.
| Author | : Mesquita, Anabela |
| Publisher | : IGI Global |
| Total Pages | : 366 |
| Release | : 2017-01-25 |
| Genre | : Computers |
| ISBN | : 152251869X |
The integration of technology in modern society has created a deeper connectivity between people around the globe, as well as provided ample opportunity for the exchange of knowledge and ideas. These interactions allow greater opportunities for developments in research and innovation. Research Paradigms and Contemporary Perspectives on Human-Technology Interaction presents comprehensive coverage on the application of information technology and systems on daily activities and examines its impacts at an interdisciplinary level. Highlighting numerous insights into relevant areas such as e-government, web accessibility, and social media, this book is an ideal reference source for academics, professionals, practitioners, graduate students, and researchers seeking material on the relationship between humans and emerging technologies in modern society.
| Author | : Rick H. Hoyle |
| Publisher | : Guilford Publications |
| Total Pages | : 753 |
| Release | : 2014-01-01 |
| Genre | : Psychology |
| ISBN | : 1462516793 |
The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.
| Author | : Jichuan Wang |
| Publisher | : John Wiley & Sons |
| Total Pages | : 612 |
| Release | : 2019-09-17 |
| Genre | : Mathematics |
| ISBN | : 1119422728 |
Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model. The statistical modeling program Mplus Version 8.2 is featured with all models updated. It provides researchers with a flexible tool that allows them to analyze data with an easy-to-use interface and graphical displays of data and analysis results. Intended as both a teaching resource and a reference guide, and written in non-mathematical terms, Structural Equation Modeling: Applications Using Mplus, 2nd edition provides step-by-step instructions of model specification, estimation, evaluation, and modification. Chapters cover: Confirmatory Factor Analysis (CFA); Structural Equation Models (SEM); SEM for Longitudinal Data; Multi-Group Models; Mixture Models; and Power Analysis and Sample Size Estimate for SEM. Presents a useful reference guide for applications of SEM while systematically demonstrating various advanced SEM models Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes Provides step-by-step instructions of model specification and estimation, as well as detailed interpretation of Mplus results using real data sets Introduces different methods for sample size estimate and statistical power analysis for SEM Structural Equation Modeling is an excellent book for researchers and graduate students of SEM who want to understand the theory and learn how to build their own SEM models using Mplus.
| Author | : Zi Yan |
| Publisher | : Taylor & Francis |
| Total Pages | : 185 |
| Release | : 2022-08-08 |
| Genre | : Education |
| ISBN | : 1000630757 |
Covering both higher education and school education, this book contributes to the field of assessment by providing a systematic account of student self-assessment based on a consistent conceptualisation. Yan advocates viewing self-assessment as an active and reflective process and using it as a learning strategy rather than an assessment method. He builds on a newly-developed self-assessment model adopting a process perspective and synthesises a series of interrelated empirical investigations into the whole "chain" of student self-assessment research. The research encompassed in the volume spans from self-assessment practices and measurement, through predictors of self-assessment, its interweaved relationship with self-regulated learning and feedback literacy, impact on student learning outcomes, to designing sustainable self-assessment interventions. The empirical evidence is from a wide range of current scholarship to ensure that the principles and implications conveyed are applicable internationally. Policymakers, students and scholars in educational assessment, educational psychology, and teaching and instruction will find the theoretical explorations and empirical investigations contained within useful, to show how student self-assessment could be better conceptualised, researched, and practised.
| Author | : Vahid Aryadoust |
| Publisher | : Routledge |
| Total Pages | : 272 |
| Release | : 2019-03-27 |
| Genre | : Education |
| ISBN | : 1351741233 |
Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.
