The Performance Of Model Fit Measures By Robust Weighted Least Squares Estimators In Confirmatory Factor Analysis
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The Performance Of Model Fit Measures By Robust Weighted Least Squares Estimators In Confirmatory Factor Analysis
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Author : Yu Zhao
language : en
Publisher:
Release Date : 2015
The Performance Of Model Fit Measures By Robust Weighted Least Squares Estimators In Confirmatory Factor Analysis written by Yu Zhao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Despite the prevalence of ordinal observed variables in applied structural equation modeling (SEM) research, limited attention has been given to model evaluation methods suitable for ordinal variables, thus providing practitioners in the field with few guidelines to follow. This dissertation represents a first attempt to thoroughly examine the performance of five fit measures--[chi]^2 statistic, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR)--produced by the mean- and variance-corrected Weighted Least Squares (WLSMV) estimator from Mplus 7 and the Diagonally Weighted Least Squares (DWLS) estimator from LISREL 9.1, both of which are forms of Robust Weighted Least Squares (RWLS) estimator designed to accommodate ordinal and nonnormal observed variables, in Confirmatory Factor Analysis (CFA) model evaluation, under various realistic sample, data, and model conditions, especially when different types and degrees of model misspecification occur. This study also empirically examined the applicability of the most widely used cut-off criteria of the fit indices proposed by Hu and Bentler (1999) in RWLS estimation with ordinal variables. Results showed that in evaluating the goodness-of-fit of CFA models with ordinal variables, fit measures generated by Mplus WLSMV seemed to be more effective and reliable than those produced by LISREL DWLS across studied conditions. The WLSMV fit measures generally maintained good Type I error control and were powerful enough to detect moderate model misspecification, provided that the model was not too large. The DWLS fit measures, on the other hand, were susceptible to influences of small sample size and could be largely inflated or deflated when a small sample was used to evaluate a large model. In addition, Hu and Bentler's (1999) cut-off criteria, despite of their popularity among applied SEM researchers, were not universally applicable in RWLS model evaluation, mainly because all of the fit indices examined varied systematically with the size of the proposed model. Recommendations are made by the end of the dissertation, based on the results of the current study, on practical issues pertaining to real-life CFA model evaluation with ordinal observed variables, such as minimum sample size required and how to use information provided by the RWLS fit measures to make model-data fit decisions, while taking into consideration the sample, data, and model characteristics specific to researchers' own studies.
Poetas Argentinos Contempor Neos
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Author : Ruth Fernández
language : en
Publisher:
Release Date : 1991
Poetas Argentinos Contempor Neos written by Ruth Fernández and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Argentine poetry categories.
Handbook Of Item Response Theory Modeling
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Author : Steven P. Reise
language : en
Publisher: Routledge
Release Date : 2014-11-20
Handbook Of Item Response Theory Modeling written by Steven P. Reise and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-20 with Psychology categories.
Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume. World renowned contributors present the latest research and methodologies about these models along with their applications and related challenges. Examples using real data, some from NIH-PROMIS, show how to apply these models in actual research situations. Chapters review fundamental issues of IRT, modern estimation methods, testing assumptions, evaluating fit, item banking, scoring in multidimensional models, and advanced IRT methods. New multidimensional models are provided along with suggestions for deciding among the family of IRT models available. Each chapter provides an introduction, describes state-of-the art research methods, demonstrates an application, and provides a summary. The book addresses the most critical IRT conceptual and statistical issues confronting researchers and advanced students in psychology, education, and medicine today. Although the chapters highlight health outcomes data the issues addressed are relevant to any content domain. The book addresses: IRT models applied to non-educational data especially patient reported outcomes Differences between cognitive and non-cognitive constructs and the challenges these bring to modeling. The application of multidimensional IRT models designed to capture typical performance data. Cutting-edge methods for deriving a single latent dimension from multidimensional data A new model designed for the measurement of constructs that are defined on one end of a continuum such as substance abuse Scoring individuals under different multidimensional IRT models and item banking for patient-reported health outcomes How to evaluate measurement invariance, diagnose problems with response categories, and assess growth and change. Part 1 reviews fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2. Part 3 reviews the major applications of IRT models such as scoring, item banking for patient-reported health outcomes, evaluating measurement invariance, linking scales to a common metric, and measuring growth and change. The book concludes with a look at future IRT applications in health outcomes measurement. The book summarizes the latest advances and critiques foundational topics such a multidimensionality, assessment of fit, handling non-normality, as well as applied topics such as differential item functioning and multidimensional linking. Intended for researchers, advanced students, and practitioners in psychology, education, and medicine interested in applying IRT methods, this book also serves as a text in advanced graduate courses on IRT or measurement. Familiarity with factor analysis, latent variables, IRT, and basic measurement theory is assumed.
Handbook Of Structural Equation Modeling
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Author : Rick H. Hoyle
language : en
Publisher: Guilford Publications
Release Date : 2023-02-17
Handbook Of Structural Equation Modeling written by Rick H. Hoyle and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-17 with Business & Economics categories.
"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of 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"--
Illuminating And Advancing The Path For Mathematical Writing Research
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Author : Colonnese, Madelyn W.
language : en
Publisher: IGI Global
Release Date : 2023-11-20
Illuminating And Advancing The Path For Mathematical Writing Research written by Colonnese, Madelyn W. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Reference categories.
Mathematical writing is essential for students’ math learning, but it’s often underutilized due to unclear guidelines. Mathematical writing is a mode of communication that provides teachers access to their students’ thinking and, importantly, offers students an opportunity to deepen their mathematical understanding, engage in mathematical reasoning, and learn a fundamental way to communicate mathematically. Notably, one needs to be able to judiciously combine mathematical symbols, representations, and text. However, more research is needed to exemplify the qualities of mathematical writing, develop implementation methods, and support teachers. Illuminating and Advancing the Path for Mathematical Writing Research, is a necessary comprehensive resource designed to enhance mathematical writing and promote equitable learning. This research book provides a comprehensive understanding of the current state of mathematical writing and illuminates various perspectives on moving the teaching and learning of k-12 mathematical writing forward. Mathematical writing is an important yet underutilized component of mathematical discourse, and this book offers further insight into understanding what it means to write mathematically for mathematics educators and researchers. It informs with research-based implementation strategies and creates purposeful professional learning opportunities. Ultimately, k-12 students will benefit from a more informed field because they will have access to a vital mode of mathematical reasoning and communication.
Scale Development And Score Validation
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Author : N. Clayton Silver
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-11
Scale Development And Score Validation written by N. Clayton Silver and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-11 with categories.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Measures Of Spirituality Religiosity Description Of Concepts And Validation Of Instruments
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Author : Arndt Büssing
language : en
Publisher: MDPI
Release Date : 2019-04-23
Measures Of Spirituality Religiosity Description Of Concepts And Validation Of Instruments written by Arndt Büssing and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-23 with Religion categories.
Why do we need more questionnaires to measure aspects of spirituality/religiosity when we already have so many well-tried instruments in use? One answer is that research in this field is growing and that new research questions continuously do arise. Several of these new questions cannot be easily answered with the instruments designed for previous questions. The field is expanding and, consequently, the research topics. Meanwhile several multidimensional instruments were developed which cover existential, prosocial, religious and non-religious forms of spirituality, hope, peace and trust—and several more. The ‘disadvantage’ of these instruments is the fact that some are conceptually broad and often rather unspecific, but they might be suited quite well for culturally and spiritually diverse populations when the intention is to compare such diverse groups. This is the reason why more research on new instruments is needed as can be found in this Special Issue, and to stimulate a critical debate about their pros and cons.
Principles And Methods Of Test Construction
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Author : Karl Schweizer
language : en
Publisher: Hogrefe Publishing GmbH
Release Date : 2017-06-12
Principles And Methods Of Test Construction written by Karl Schweizer and has been published by Hogrefe Publishing GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-12 with Psychology categories.
Leading experts describe the state-of-the-art in developing and constructing psychometric tests This latest volume in the series Psychological Assessment – Science and Practice describes the current state-of-the-art in test development and construction. The past 10-20 years have seen substantial advances in the methods used to develop and administer tests. In this volume many of the world's leading authorities collate these advances and provide information about current practices, thus equipping researchers and students to successfully construct new tests using the best modern standards and techniques. The first section explains the benefits of considering the underlying theory when designing tests, such as factor analysis and item response theory. The second section looks at item format and test presentation. The third discusses model testing and selection, while the fourth goes into statistical methods that can find group-specific bias. The final section discusses topics of special relevance such as multi-trait multi-state analyses and development of screening instruments.
Assessing Measurement Invariance For Applied Research
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Author : Craig S. Wells
language : en
Publisher: Cambridge University Press
Release Date : 2021-06-03
Assessing Measurement Invariance For Applied Research written by Craig S. Wells and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Education categories.
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
Robust High Dimensional Data Analysis Using A Weight Shrinkage Rule
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Author : Bin Luo
language : en
Publisher:
Release Date : 2016
Robust High Dimensional Data Analysis Using A Weight Shrinkage Rule written by Bin Luo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Dimensional analysis categories.
"In high-dimensional settings, a penalized least squares approach may lose its efficiency in both estimation and variable selection due to the existence of either outliers or heteroscedasticity. In this thesis, we propose a novel approach to perform robust high-dimensional data analysis in a penalized weighted least square framework. The main idea is to relate the irregularity of each observation to a weight vector and obtain the outlying status data-adaptively using a weight shrinkage rule. By usage of L-1 type regularization on both the coefficients and weight vectors, the proposed method is able to perform simultaneous variable selection and outliers detection efficiently. Eventually, this procedure results in estimators with potentially strong robustness and non-asymptotic consistency. We provide a unified link between the weight shrinkage rule and a robust M-estimation in general settings. We also establish the non-asymptotic oracle inequalities for the joint estimation of both the regression coefficients and weight vectors. These theoretical results allow the number of variables to far exceed the sample size. The performance of the proposed estimator is demonstrated in both simulation studies and real examples."--Abstract from author supplied metadata.