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Free Download Race Unmasked: Biology and Race in the Twentieth Century By Michael Yudell; J. Craig Venter
2014 | 304 Pages | ISBN: 0231537999 | PDF | 1 MB
Race Unmasked revisits the origins of widespread beliefs about the scientific nature of racial differences and explains why race continues to generate controversy as a tool of classification even in our genomic age. Michael Yudell reveals how genetics and related disciplines formed and preserved ideas of race and, at times, racism.

Free Download Willis H. Ware, "RAND and the Information Evolution: A History in Essays and Vignettes"
English | 2009 | pages: 229 | ISBN: 083304513X | PDF | 6,7 mb
This professional memoir describes RAND1s contributions to the evolution of computer science, particularly during the first decades following World War II, when digital computers succeeded slide rules, mechanical desk calculators, electric accounting machines, and analog computers. The memoir includes photographs and vignettes that reveal the collegial, creative, and often playful spirit in which the groundbreaking research was conducted at RAND.

Free Download Robert G. Bringle, "Practical Wisdom for Conducting Research on Service Learning "
English | ISBN: 1620364689 | 2019 | 298 pages | PDF | 16 MB
For scholars seeking to undertake consequential research in service-learning and community engagement (SLCE) at a time when there is widening interest in and increasing acceptance of research in this field as a primary area of scholarship, this book provides accounts by preeminent scholars about the trajectories of their research, their methodologies, lessons learned along the way, as well as their views about the future direction of the field.The contributors to this volume represent a range of disciplines and fields including education, history, organizational leadership, political science, philanthropic studies, psychology, and public health, as well as both qualitative and quantitative traditions, and offer models of scholarly learning that contribute to a knowledge base that can guide practice and further the broader public purposes of the academy.They articulate how they view their research on SLCE as having broader purposes that matter to them personally as well as professionally and illustrate how the "why" and "to what end" of their research can evolve as a program of research develops and matures across time. They identify key choices they made in terms of inquiry and methodology, describe both successes and challenges in establishing and navigating a SLCE research agenda across their careers, and share lessons learned from their research journey to advance the field both domestically and abroad. Emerging from these narratives is a theme of practical wisdom that arises through the learning of researchers, students and communities as they engage with complex social contexts.

Free Download R Programming: Statistical Data Analysis in Research by Kingsley Okoye, Samira Hosseini
English | July 8, 2024 | ISBN: 9819733847 | 324 pages | MOBI | 63 Mb
This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source software with a development environment (RStudio) for computing statistics and graphical displays through data manipulation, modeling, and calculation. R packages and supported libraries provide a wide range of functions for programming and analyzing of data. Unlike many of the existing statistical software, R has the added benefit of allowing the users to write more efficient codes by using command-line scripting and vectors. It has several built-in functions and libraries that are extensible and allows the users to define their own (customized) functions on how they expect the program to behave while handling the data, which can also be stored in the simple object system. Therefore, this book serves as both textbook and manual for R statistics particularly in academic research, data analytics, and computer programming targeted to help inform and guide the work of the users. It provides information about different types of statistical data analysis and methods, and the best scenarios for use of each case in R. It gives a hands-on step-by-step practical guide on how to identify and conduct the different parametric and nonparametric procedures. This includes a description of the different conditions or assumptions that are necessary for performing the various statistical methods or tests, and how to understand the results of the methods. The book also covers the different data formats and sources, and how to test for the reliability and validity of the available datasets. Different research experiments, case scenarios, and examples are explained in this book. The book provides a comprehensive description and step-by-step practical hands-on guide to carrying out the different types of statistical analysis in R particularly for research purposes with examples. Ranging from how to import and store datasets in R as objects, how to code and call the methods or functions for manipulating the datasets or objects, factorization, and vectorization, to better reasoning, interpretation, and storage of the results for future use, and graphical visualizations and representations thus congruence of Statistics and Computer programming in Research.

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Race Unmasked Biology and Race in the Twentieth Century

ROBOTICS AND MECHATRONICS DESIGN, CONSTRUCTION AND CONTROL OF INTELLIGENT SYSTEMS

RAND and the Information Evolution A History in Essays and Vignettes

Practical Wisdom for Conducting Research on Service Learning

Interspecies Ethics

RAND and the Information Evolution A History in Essays and Vignettes

R for the Rest of Us A Statistics-Free Introduction

R Programming Statistical Data Analysis in Research

Quinine's Remains Empire's Medicine and the Life Thereafter (ePUB)

Quinine's Remains Empire's Medicine and the Life Thereafter (PDF)