Identifying and Minimizing Measurement Invariance among Intersectional Groups PDF Download
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Author: Rachel A. Gordon
Publisher: Cambridge University Press
ISBN: 1009357751
Category : Psychology
Languages : en
Pages : 119
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Book Description
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.
Author: Rachel A. Gordon
Publisher: Cambridge University Press
ISBN: 1009357751
Category : Psychology
Languages : en
Pages : 119
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Book Description
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.
Author: Rachel A. Gordon
Publisher: Taylor & Francis
ISBN: 1000894754
Category : Social Science
Languages : en
Pages : 1076
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Book Description
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.
Author: Jan van Deth
Publisher: Routledge
ISBN: 113473896X
Category : Political Science
Languages : en
Pages : 293
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Book Description
This book tackles the issues involved and explores strategies to deal with many of the problems of establishing equivalence. Each contribution focuses on a theoretically relevant theme, such as: tolerance; political values; religious orientations; gender roles; voluntary associations; party organizations and party positions; democratic regimes, and the mass media. Each chapter covers different topics, methods, data and countries, making use of research to show the problems of finding similar or identical indicators in realistic research settings.
Author: Craig 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: Sarah Depaoli
Publisher: Guilford Publications
ISBN: 1462547745
Category : Social Science
Languages : en
Pages : 549
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Book Description
This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader through implementation. Engaging worked-through examples from diverse social science subfields illustrate the various modeling techniques, highlighting statistical or estimation problems that are likely to arise and describing potential solutions. For each model, instructions are provided for writing up findings for publication, including annotated sample data analysis plans and results sections. Other user-friendly features in every chapter include "Major Take-Home Points," notation glossaries, annotated suggestions for further reading, and sample code in both Mplus and R. The companion website (www.guilford.com/depaoli-materials) supplies data sets; annotated code for implementation in both Mplus and R, so that users can work within their preferred platform; and output for all of the book’s examples.
Author: Hugo Jair Escalante
Publisher: Springer
ISBN: 3319981315
Category : Computers
Languages : en
Pages : 305
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Book Description
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations
Author: Rosalyn H. Shute
Publisher: Routledge
ISBN: 1317665074
Category : Psychology
Languages : en
Pages : 354
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Book Description
Child Development: Theories and Critical Perspectives provides an engaging and perceptive overview of both well-established and recent theories in child and adolescent psychology. This unique summary of traditional scientific perspectives alongside critical post-modern thinking will provide readers with a sense of the historical development of different schools of thought. The authors also place theories of child development in philosophical and cultural contexts, explore links between them, and consider the implications of theory for practice in the light of the latest thinking and developments in implementation and translational science. Early chapters cover mainstream theories such as those of Piaget, Skinner, Freud, Maccoby and Vygotsky, whilst later chapters present interesting lesser-known theorists such as Sergei Rubinstein, and more recent influential theorists such as Esther Thelen. The book also addresses lifespan perspectives and systems theory, and describes the latest thinking in areas ranging from evolutionary theory and epigenetics, to feminism, the voice of the child and Indigenous theories. The new edition of Child Development has been extensively revised to include considerable recent advances in the field. As with the previous edition, the book has been written with the student in mind, and includes a number of useful pedagogical features including further reading, discussion questions, activities, and websites of interest. Child Development: Theories and Critical Perspectives will be essential reading for students on advanced courses in developmental psychology, education, social work and social policy, and the lucid style will also make it accessible to readers with little or no background in psychology.
Author: Liu-Qin Yang
Publisher: Cambridge University Press
ISBN: 110849403X
Category : Psychology
Languages : en
Pages : 573
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Book Description
Are you struggling to improve a hostile or uncomfortable environment at work, or interested in how such tension can arise? Experts in organizational psychology, management science, social psychology, and communication science show you how to implement interventions and programs to manage workplace emotion. The connection between workplace affect and relevant challenges in our society, such as diversity and technological changes, is undeniable; thus learning to harness that knowledge can revolutionize your performance in tackling workday issues. Applying major theoretical perspectives and research methodologies, this book outlines the concepts of display rules, emotional labor, work motivation, well-being, and discrete emotions. Understanding these ideas will show you how affect can promote team effectiveness, leadership, and conflict resolution. If you require a foundation for understanding workplace affect or a springboard into deeper, more interdisciplinary research, this book presents an integrative approach that is indispensable.
Author: Kelly Faye Jackson
Publisher:
ISBN: 9780871015440
Category : Family social work
Languages : en
Pages :
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Book Description
Author: Irene Dankwa-Mullan
Publisher: John Wiley & Sons
ISBN: 1119374812
Category : Science
Languages : en
Pages : 548
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Book Description
Integrates the various disciplines of the science of health disparities in one comprehensive volume The Science of Health Disparities Research is an indispensable source of up-to-date information on clinical and translational health disparities science. Building upon the advances in health disparities research over the past decade, this authoritative volume informs policies and practices addressing the diseases, disorders, and gaps in health outcomes that are more prevalent in minority populations and socially disadvantaged communities. Contributions by recognized scholars and leaders in the field—featuring contemporary research, conceptual models, and a broad range of scientific perspectives—provide an interdisciplinary approach to reducing inequalities in population health, encouraging community engagement in the research process, and promoting social justice. In-depth chapters help readers better understand the specifics of minority health and health disparities while demonstrating the importance of advancing theory, refining measurement, improving investigative methods, and diversifying scientific research. In 26 chapters, the book examines topics including the etiology of health disparities research, the determinants of population health, research ethics, and research in African American, Asians, Latino, American Indian, and other vulnerable populations. Providing a unified framework on the principles and applications of the science of health disparities research, this important volume: Defines the field of health disparities science and suggests new directions in scholarship and research Explains basic definitions, principles, and concepts for identifying, understanding and addressing health disparities Provides guidance on both conducting health disparities research and translating the results Examines how social, historical and contemporary injustices may influence the health of racial and ethnic minorities Illustrates the increasing national and global importance of addressing health disparities Discusses population health training, capacity-building, and the transdisciplinary tools needed to advance health equity A significant contribution to the field, The Science of Health Disparities Research is an essential resource for students and basic and clinical researchers in genetics, population genetics, and public health, health care policymakers, and epidemiologists, medical students, and clinicians, particularly those working with minority, vulnerable, or underserved populations.
