Identifying And Minimizing Measurement Invariance Among Intersectional Groups
DOWNLOAD
Download Identifying And Minimizing Measurement Invariance Among Intersectional Groups PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Identifying And Minimizing Measurement Invariance Among Intersectional Groups book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Identifying And Minimizing Measurement Invariance Among Intersectional Groups
DOWNLOAD
Author : Rachel A. Gordon
language : en
Publisher: Cambridge University Press
Release Date : 2023-07-06
Identifying And Minimizing Measurement Invariance Among Intersectional Groups written by Rachel A. Gordon 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 2023-07-06 with Psychology categories.
This Element demonstrates how and why the alignment method can advance measurement fairness in developmental science. It explains its application to multi-category items in an accessible way, offering sample code and demonstrating an R package that facilitates interpretation of such items' multiple thresholds. It features the implications for group mean differences when differences in the thresholds between categories are ignored because items are treated as continuous, using an example of intersectional groups defined by assigned sex and race/ethnicity. It demonstrates the interpretation of item-level partial non-invariance results and their implications for group-level differences and encourages substantive theorizing regarding measurement fairness.
Applied Statistics For The Social And Health Sciences
DOWNLOAD
Author : Rachel A. Gordon
language : en
Publisher: Taylor & Francis
Release Date : 2023-10-31
Applied Statistics For The Social And Health Sciences written by Rachel A. Gordon and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-31 with Social Science categories.
Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards. Reflecting the growing importance of "Big Data" in the social and health sciences, this thoroughly revised and streamlined new edition covers best practice in the use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science. Key features of the book include: interweaving the teaching of statistical concepts with examples from publicly available social and health science data and literature excerpts; thoroughly integrating the teaching of statistical theory with the teaching of data access, processing, and analysis in Stata; recognizing debates and critiques of the origins and uses of quantitative methods.
Structural Equation Modeling
DOWNLOAD
Author : Jichuan Wang
language : en
Publisher: John Wiley & Sons
Release Date : 2019-09-17
Structural Equation Modeling written by Jichuan Wang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-17 with Mathematics categories.
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.
Data Analysis With Mplus
DOWNLOAD
Author : Christian Geiser
language : en
Publisher: Guilford Press
Release Date : 2012-11-14
Data Analysis With Mplus written by Christian Geiser and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-14 with Social Science categories.
A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (http://crmda.ku.edu/guilford/geiser) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.
Assessing Measurement Invariance For Applied Research
DOWNLOAD
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 Psychology categories.
This book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.
Microaggression Theory
DOWNLOAD
Author : Gina C. Torino
language : en
Publisher: John Wiley & Sons
Release Date : 2018-10-02
Microaggression Theory written by Gina C. Torino and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-02 with Psychology categories.
Get to know the sociopolitical context behind microaggressions Microaggressions are brief, everyday exchanges that send denigrating messages to certain individuals because of their group membership (e.g., race, gender, culture, religion, social class, sexual orientation, etc.). These daily, common manifestations of aggression leave many people feeling vulnerable, targeted, angry, and afraid. How has this become such a pervasive part of our social and political rhetoric, and what is the psychology behind it? In Microaggression Theory, the original research team that created the microaggressions taxonomy, Gina Torino, David Rivera, Christina Capodilupo, Kevin Nadal, and Derald Wing Sue, address these issues head-on in a fascinating work that explores the newest findings of microaggressions in their sociopolitical context. It delves into how the often invisible nature of this phenomenon prevents perpetrators from realizing and confronting their own complicity in creating psychological dilemmas for marginalized groups, and discusses how prejudice, privilege, safe spaces, and cultural appropriation have become themes in our contentious social and political discourse. Details the psychological effects of microaggressions in separate chapters covering clinical impact, trauma, related stress syndromes, and the effect on perpetrators Examines how microaggressions affect education, employment, health care, and the media Explores how social policies and practices can minimize the occurrence and impact of microaggressions in a range of environments Investigates how microaggressions relate to larger social movements If you come across the topic of microaggressions in your day-to-day life, you can keep the conversation going in a productive manner—with research to back it up!
The Ideate Method
DOWNLOAD
Author : Dan Cohen
language : en
Publisher: SAGE Publications
Release Date : 2019-12-19
The Ideate Method written by Dan Cohen and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Business & Economics categories.
Generating new ideas that create substantial value is at the very core of entrepreneurship. The IDEATE Method is an ideation method empirically proven to help students identify problems, develop creative solutions, and select the most innovate entrepreneurial idea. Authors Daniel Cohen, Gregory Pool, and Heidi Neck emphasize the importance of deliberate practice and repetition as they guide students through each phase of the method: Identify, Discover, Enhance, Anticipate, Target, and Evaluate. Goal-directed activities and self-reflection questions help students develop their entrepreneurial mindset and skillset.
Statistical Approaches To Measurement Invariance
DOWNLOAD
Author : Roger E. Millsap
language : en
Publisher: Routledge
Release Date : 2012-03-29
Statistical Approaches To Measurement Invariance written by Roger E. Millsap and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-29 with Psychology categories.
This book reviews the statistical procedures used to detect measurement bias. Measurement bias is examined from a general latent variable perspective so as to accommodate different forms of testing in a variety of contexts including cognitive or clinical variables, attitudes, personality dimensions, or emotional states. Measurement models that underlie psychometric practice are described, including their strengths and limitations. Practical strategies and examples for dealing with bias detection are provided throughout. The book begins with an introduction to the general topic, followed by a review of the measurement models used in psychometric theory. Emphasis is placed on latent variable models, with introductions to classical test theory, factor analysis, and item response theory, and the controversies associated with each, being provided. Measurement invariance and bias in the context of multiple populations is defined in chapter 3 followed by chapter 4 that describes the common factor model for continuous measures in multiple populations and its use in the investigation of factorial invariance. Identification problems in confirmatory factor analysis are examined along with estimation and fit evaluation and an example using WAIS-R data. The factor analysis model for discrete measures in multiple populations with an emphasis on the specification, identification, estimation, and fit evaluation issues is addressed in the next chapter. An MMPI item data example is provided. Chapter 6 reviews both dichotomous and polytomous item response scales emphasizing estimation methods and model fit evaluation. The use of models in item response theory in evaluating invariance across multiple populations is then described, including an example that uses data from a large-scale achievement test. Chapter 8 examines item bias evaluation methods that use observed scores to match individuals and provides an example that applies item response theory to data introduced earlier in the book. The book concludes with the implications of measurement bias for the use of tests in prediction in educational or employment settings. A valuable supplement for advanced courses on psychometrics, testing, measurement, assessment, latent variable modeling, and/or quantitative methods taught in departments of psychology and education, researchers faced with considering bias in measurement will also value this book.
Methods Theories And Empirical Applications In The Social Sciences
DOWNLOAD
Author : Samuel Salzborn
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-30
Methods Theories And Empirical Applications In The Social Sciences written by Samuel Salzborn and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-30 with Social Science categories.
The volume addresses major features in empirical social research from methodological and theoretical perspectives. Prominent researchers discuss central problems in empirical social research in a theory-driven way from political science, sociological or social-psychological points of view. These contributions focus on a renewed discussion of foundations together with innovative and open research questions or interdisciplinary research perspectives.
Scale Construction And Psychometrics For Social And Personality Psychology
DOWNLOAD
Author : Mike Furr
language : en
Publisher: SAGE
Release Date : 2011-02-15
Scale Construction And Psychometrics For Social And Personality Psychology written by Mike Furr and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-15 with Psychology categories.
Providing conceptual and practical foundations in scale construction and psychometrics for producers and consumers of social/personality research, this guide covers basic principles, practices, and processes in scale construction, scale evaluation, scale use, and interpretation of research results in the context of psychological measurement. It explains fundamental concepts and methods related to dimensionality, reliability, and validity. In addition, it provides relatively non-technical introductions to special topics and advanced psychometric perspectives such as Confirmatory Factor Analysis, Generalizability Theory, and Item Response Theory. The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented.