Identifying and Minimizing Measurement Invariance among Intersectional Groups

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Publisher : Cambridge University Press
ISBN 13 : 1009357751
Total Pages : 119 pages
Book Rating : 4.53/5 ( download)

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Book Synopsis Identifying and Minimizing Measurement Invariance among Intersectional Groups by : Rachel A. Gordon

Download or read book Identifying and Minimizing Measurement Invariance among Intersectional Groups written by Rachel A. Gordon and published by Cambridge University Press. This book was released on 2023-07-06 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Taylor & Francis
ISBN 13 : 1000894754
Total Pages : 1076 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Applied Statistics for the Social and Health Sciences by : Rachel A. Gordon

Download or read book Applied Statistics for the Social and Health Sciences written by Rachel A. Gordon and published by Taylor & Francis. This book was released on 2023-10-31 with total page 1076 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Approaches to Measurement Invariance

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Publisher : Routledge
ISBN 13 : 1136761128
Total Pages : 359 pages
Book Rating : 4.26/5 ( download)

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Book Synopsis Statistical Approaches to Measurement Invariance by : Roger E. Millsap

Download or read book Statistical Approaches to Measurement Invariance written by Roger E. Millsap and published by Routledge. This book was released on 2012-03-29 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Assessing Measurement Invariance for Applied Research

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Publisher : Cambridge University Press
ISBN 13 : 1108485227
Total Pages : 417 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Assessing Measurement Invariance for Applied Research by : Craig S. Wells

Download or read book Assessing Measurement Invariance for Applied Research written by Craig S. Wells and published by Cambridge University Press. This book was released on 2021-06-03 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.

The Cambridge Handbook of Workplace Affect

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Publisher : Cambridge University Press
ISBN 13 : 110849403X
Total Pages : 573 pages
Book Rating : 4.38/5 ( download)

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Book Synopsis The Cambridge Handbook of Workplace Affect by : Liu-Qin Yang

Download or read book The Cambridge Handbook of Workplace Affect written by Liu-Qin Yang and published by Cambridge University Press. This book was released on 2020-07-16 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Explainable and Interpretable Models in Computer Vision and Machine Learning

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Publisher : Springer
ISBN 13 : 3319981315
Total Pages : 299 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Explainable and Interpretable Models in Computer Vision and Machine Learning by : Hugo Jair Escalante

Download or read book Explainable and Interpretable Models in Computer Vision and Machine Learning written by Hugo Jair Escalante and published by Springer. This book was released on 2018-11-29 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Diversity and Leadership

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Publisher : SAGE Publications
ISBN 13 : 1483312445
Total Pages : 345 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Diversity and Leadership by : Jean Lau Chin

Download or read book Diversity and Leadership written by Jean Lau Chin and published by SAGE Publications. This book was released on 2014-09-02 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although leadership theories have evolved to reflect changing social contexts, many remain silent on issues of equity, diversity, and social justice. Diversity and Leadership, by Jean Lau Chin and Joseph E. Trimble, offers a new paradigm for examining leadership by bringing together two domains—research on leadership and research on diversity—to challenge existing notions of leadership and move toward a diverse and global view of society and its institutions. This compelling book delivers an approach to leadership that is inclusive, promotes access for diverse leaders, and addresses barriers that narrowly confine our perceptions and expectations of leaders. Redefining leadership as global and diverse, the authors impart new understanding of who our leaders are, the process of communication, exchange between leaders and their members, criteria for selecting, training, and evaluating leaders in the 21st century, and the organizational and societal contexts in which leadership is exercised.

Measures of Personality and Social Psychological Attitudes

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Publisher : Academic Press
ISBN 13 : 1483219844
Total Pages : 769 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Measures of Personality and Social Psychological Attitudes by : John P. Robinson

Download or read book Measures of Personality and Social Psychological Attitudes written by John P. Robinson and published by Academic Press. This book was released on 2013-10-22 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measures of Personality and Social Psychological Attitudes: Volume 1 in Measures of Social Psychological Attitudes Series provides a comprehensive guide to the most promising and useful measures of important social science concepts. This book is divided into 12 chapters and begins with a description of the Measures of Personality and Social Psychological Attitudes Project's background and the major criteria for scale construction. The subsequent chapters review measures of "response set"; the scales dealing with the most general affective states, including life satisfaction and happiness; and the measured of self-esteem. These topics are followed by discussions of measures of social anxiety, which is conceived a major inhibitor of social interaction, as well as the negative states of depression and loneliness. Other chapters examine the separate dimensions of alienation, the predictive value of interpersonal trust and attitudes in studies of occupational choice and racial attitude change, and the attitude scales related to locus of control. The final chapters look into the measures related to authoritarianism, androgyny, and values. This book is of great value to social and political scientists, psychologists, nurses, social workers, non-academic professionals, and students.

Bayesian Structural Equation Modeling

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Publisher : Guilford Publications
ISBN 13 : 1462547745
Total Pages : 549 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Bayesian Structural Equation Modeling by : Sarah Depaoli

Download or read book Bayesian Structural Equation Modeling written by Sarah Depaoli and published by Guilford Publications. This book was released on 2021-08-16 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Progressive Matrices

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Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.74/5 ( download)

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Book Synopsis Advanced Progressive Matrices by : John C. Raven

Download or read book Advanced Progressive Matrices written by John C. Raven and published by . This book was released on 1965* with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced test of non-verbal reasoning ability, ie. a measure of eductive ability or fluid intelligence which is relatively independent of specific learning acquired in a particular cultural or educational context. Test is used as a means of assessing all the anlytical and integral operations involed in the higher thought processes and differentiaties clearly between people of even superior intellectual ability.