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Real Data Analysis
The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide (d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.
Educational Research
Assuming no prior knowledge, Educational Research by R. Burke Johnson and Larry Christensen offers a comprehensive, easily digestible introductory research methods text for undergraduate and graduate students. Readers will develop an understanding of the multiple research methods and strategies used in education and related fields; how to read and critically evaluate published research; and the ability to write a proposal, construct a questionnaire, and conduct an empirical research study on their own. Students rave about the clarity of this best seller and its usefulness for their studies, enabling them to become critical consumers and users of research.
Effect Sizes for Research
The goal of this book is to inform a broad readership about a variety of measures and estimators of effect sizes for research, their proper applications and interpretations, and their limitations. Its focus is on analyzing post-research results. The book provides an evenhanded account of controversial issues in the field, such as the role of significance testing. Consistent with the trend toward greater use of robust statistical methods, the book pays much attention to the statistical assumptions of the methods and to robust measures of effect size. Effect Sizes for Research discusses different effect sizes for a variety of kinds of variables, designs, circumstances, and purposes. It covers ...
Making the Work-Based Safety Net Work Better
Work first. That is the core idea behind the 1996 welfare reform legislation. It sounds appealing, but according to Making the Work-Based Safety Net Work Better, it collides with an exceptionally difficult reality. The degree to which work provides a way out of poverty depends greatly on the ability of low-skilled people to maintain stable employment and make progress toward an income that provides an adequate standard of living. This forward-looking volume examines eight areas of the safety net where families are falling through and describes how current policies and institutions could evolve to enhance the self-sufficiency of low-income families. David Neumark analyzes a range of labor mar...
Data Science
This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of data science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and machine learning. These topics are presented in a clear and mathematical sound way to help readers gain a deep and fundamental understanding. Numerous application examples based on real data are included. The book is well-suited for lecturers and students at technical universities, and offers a good introduction and overview for people who are new to the subject. Basic mathematical knowledge of calculus and linear algebra is required.
Score Reliability
"This is a book that should be on the desk of anyone truly concerned with reliability. The whole question of conditional reliabilities is current and important; and, the question of reliability generalization is being opened out and moving away from Cronbach′s approach. The topic is an important one." --Richard L. Gorsuch, Director of Research in Graduate School of Psychology, Fuller Theological Seminary Should a high school diploma be awarded to students based on their score on a final exit exam? Should businesses deny employment to people based on their score on a personality test? In a world of "high stakes" testing, it has become more important than ever to make certain the scores on w...
Quantitative Research Methods in Translation and Interpreting Studies
Quantitative Research Methods in Translation and Interpreting Studies encompasses all stages of the research process that include quantitative research methods, from conceptualization to reporting. In five parts, the authors cover: • sampling techniques, measurement, and survey design; • how to describe data; • how to analyze differences; • how to analyze relationships; • how to interpret results. Each part includes references to additional resources and extensive examples from published empirical work. A quick reference table for specific tests is also included in the appendix. This user-friendly guide is the essential primer on quantitative methods for all students and researchers in translation and interpreting studies. Accompanying materials are available online, including step-by-step walkthroughs of how analysis was conducted, and extra sample data sets for instruction and self study: https://www.routledge.com/9781138124967. Further resources for Translation and Interpreting Studies are available on the Routledge Translation Studies Portal: http://cw.routledge.com/textbooks/translationstudies.
Multilevel Modeling Methods with Introductory and Advanced Applications
Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a one or two semester course in multilevel modeling. The topics of the seventeen chapters range from basic to advanced, yet each chapter is designed to be able to stand alone as an instructional unit on its respective topic, with an emphasis on application and interpretation. In addition to covering foundational topics on the use of multilevel models for organizational and longitudinal research, the ...
