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Operating Systems and Infrastructure in Data Science
Josef Spillner · vdf Hochschulverlag · 2023
Modern data scientists work with a number of tools and operating system facilities in addition to online platforms. Mastering these in combination to manage their data and to deploy software, models and data as ready-to-use online services as well as to perform data science and analysis tasks is in the focus of Operating Systems and Infrastructure in Data Science. Readers will come to understand the fundamental concepts of operating systems and to explore plenty of tools in hands-on tasks and thus gradually develop the skills necessary to compose them for programming in the large, an essential capability in their later career. The book guides students through semester studies, acts as reference knowledge base and aids in acquiring the necessary knowledge, skills and competences especially in self-study settings. A unique feature of the book is the associated access to Edushell, a live environment to practice operating systems and infrastructure tasks.
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Introduction to Data Science Using Python
Afrand Agah · The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT) · 2024
This book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior experience with programming. Basic programming concepts are discussed, explained, and illustrated with a Python program. Ample programming questions are provided for practice. The second part of the book utilizes machine-learning concepts and statistics to accomplish data-driven resolutions. Python programs are provided to apply scientific computing to conclude statistically driven results.
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Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach
Leyre Castro; J. Toby Mordkoff · University of Iowa Libraries · 2023
This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data. In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R).
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Conducting Mixed-Methods Research: From Classical Social Sciences to the Age of Big Data and Analytics
Viswanath Venkatesh; Susan (Sue) Brown; Yulia Sullivan · Virginia Tech Libraries · 2023
Scholars in the social sciences are increasingly expected to incorporate both quantitative and qualitative techniques and methods into their research. The growth of “mixed-methods” research is evident in social science disciplines ranging from psychology and management to marketing and information systems. This book is designed to provide principles, strategies, and guidance specifically for researchers in these disciplines so that they can use mixed-methods research more effectively. In thirteen chapters, Conducting Mixed-Methods Research takes readers through the research process, from defining research questions to writing articles using a mixed-methods approach. For those who are well trained in either qualitative or quantitative methods, the book shows them how to think about the purposes of mixed-methods research, design mixed-methods studies, and develop meta-inferences by integrating findings from both methods. Throughout, the discussion is grounded in examples taken from published research, carefully chosen to highlight best practices, thus opening a window into a broad body of mixed-methods research applications.
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College Success
University of Minnesota Libraries Publishing · 2015
Our primary goal in writing College Success is to help you succeed in college. According to Department of Education data, 30 percent of college freshmen leave school in their first year and as many as 50 percent never graduate. College Success is designed to help change that. College Success has a student-friendly format arranged to help you develop the essential skills and provide the information you need to succeed in college. This is not a textbook full of theory and extensive detail that merely discusses student success; rather, this is a how-to manual for succeeding in college. The book provides realistic, practical guidance ranging from study skills to personal health, from test taking to managing time and money. Furthermore, College Success is accessible—information is presented concisely and as simply as possible. College Success has the following features to help you achieve your goals: Each chapter asks you to evaluate yourself because success starts with recognizing your strengths and weaknesses, your hopes and desires, and your own personal, individual realities. You'll develop your own goals based on these self-assessments, determining what success in college really means for you as an individual. Throughout the book, you will find numerous interactive activities created to help you improve your skills. To assist you with this, the material is presented in easily digestible “chunks” of information so you can begin applying it immediately in your own life—and get the most out of your college education.
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The DEI Metadata Handbook: A Guide to Diverse, Equitable, and Inclusive Description
H. E. Wintermute; Heather Campbell; Christopher Dieckman · Iowa State University Digital Press · 2024
Written primarily for professionals in library and information science but with applicability to archives and other information management industries, this handbook provides an overview of metadata work that focuses on diversity, equity, and inclusion (DEI). DEI metadata work has several goals: enhancing diverse representation in descriptive metadata; improving discovery of diverse resources; and mitigating negative effects of inaccurate, outdated, or offensive terminology. Readers will gain a broad awareness of DEI-related issues in metadata creation and management; learn techniques for retroactively reviewing and updating existing metadata to address these issues; and develop strategies to create metadata that better meets DEI needs.
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Scholarly Communication Librarianship and Open Knowledge
Maria Bonn; Josh Bolick; Will Cross · Association of College and Research Libraries · 2023
The intersection of scholarly communication librarianship and open education offers a unique opportunity to expand knowledge of scholarly communication topics in both education and practice. Open resources can address the gap in teaching timely and critical scholarly communication topics—copyright in teaching and research environments, academic publishing, emerging modes of scholarship, impact measurement—while increasing access to resources and equitable participation in education and scholarly communication. Scholarly Communication Librarianship and Open Knowledge is an open textbook and practitioner’s guide that collects theory, practice, and case studies from nearly 80 experts in scholarly communication and open education. Divided into three parts: What is Scholarly Communication? Scholarly Communication and Open Culture Voices from the Field: Perspectives, Intersections, and Case Studies The book delves into the economic, social, policy, and legal aspects of scholarly communication as well as open access, open data, open education, and open science and infrastructure. Practitioners provide insight into the relationship between university presses and academic libraries, defining collection development as operational scholarly communication, and promotion and tenure and the challenge for open access.
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The Craft of Sociological Research
Victor Chen; Gabriela León-Pérez; Julie Honnold; Volkan Aytar · Virginia's Academic Library Consortium (VIVA) · 2024
The Craft of Sociological Research: Principles and Methods of Collecting, Analyzing, and Presenting Social Science Data was developed with the goal of developing an open educational resource (OER) that makes well-written and engaging methods-training materials available for free to students. The manuscript was written by a team of authors at Virginia Commonwealth University who are all researchers as well as teachers of undergraduate methods courses. Some portions of the text were adapted from existing OER social scientific methods textbooks, and others are original. Our aim is to provide broad but sound coverage of widely used methodologies, giving students the background they need to both evaluate and conduct research. While targeted at undergraduates, the textbook includes optional sections that provide more advanced methodological training. It also features Q&As with prominent sociologists and sidebars on topical issues that social scientific research has helped illuminate. We hope the text is accessible to students with a variety of backgrounds and interests, and to that end we have tried to make the writing lively and clear throughout and provide supplemental online and multimedia resources when possible. This project was funded with the generous support of the Virtual Library of Virginia (VIVA), a program of the State Council of Higher Education for Virginia (SCHEV), and VCU Libraries’ Open and Affordable Course Content Initiative.
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Tools for RDS
Kay Bjornen · Oklahoma State University · 2022
This book was created for people who are new to Research Data Services programs and, as such, covers some basic principles as well as more advanced techniques that can help get an RDS program started at a university library. One of the goals of the “Research as Data-Data as Research” project was creation of a toolkit to provide a step by step guide for libraries, especially those with limited resources, to prioritize needs and create offerings with the assistance of their user communities. This toolkit is a collection of those resources, separated by the phase of the project. It is intended to be an evergreen, open resource. Please feel free to contribute ideas and examples that you think other libraries will benefit from.
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Digital Cartography
Dorris Scott · Washington University Libraries · 2024
Digital Cartography covers foundational cartographic principles that are needed to make effective maps. lt explores such concepts as data, lettering, along with multivariate and uncertainty visualization. By the end of this book, a reader will be able to: (1) Describe how cartographic concepts such generalization, scale and projection will affect mapping products; (2) Identify the medium, purpose, and spatial data requirements to create a map that is appropriate to a specific audience; (3) Evaluate maps produced by peers and various organizations; and (4) Construct maps that effectively use color, font, and other design elements using ArcGIS Pro.
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Dublin Core Quick Start
Caitlin Mathesis; Bailey VandeKamp; Micah Bateman · University of Iowa · 2024
This book is designed as a quick introduction to authoring metadata using basic elements from the Dublin Core Metadata Initiative.
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Introduction to Statistics in the Psychological Sciences
Linda Cote; Rupa Gordon; Chrislyn Randell; Judy Schmitt · University of Missouri - St. Louis · 2021
Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests. Related samples, independent samples, analysis of variance, correlations, linear regressions and chi-squares are all covered along with expanded appendices with z, t, F correlation, and a Chi-Square table. The text includes key terms and exercises with answers to odd-numbered exercises. Psychology students often find statistics courses to be different from their other psychology classes. There are some distinct differences, especially involving study strategies for class success. The first difference is learning a new vocabulary—it is similar to learning a new language. Knowing the meaning of certain words will help as you are reading the material and working through the problems. Secondly, practice is critical for success; reading over the material is not enough. Statistics is a subject learned by doing, so make sure you work through any homework questions, chapter questions, and practice problems available. Statistical knowledge gives you a set of skills employable in graduate school and the workplace. Data science is a burgeoning field, and there is practical significance in learning this material. The statistics presented in this book are some of the most common ones used in research articles, and we hope by the end of this OER you’ll feel comfortable reading (and not skipping!) the results section of an article. This work is broken into 14 chapters, covering the fundamentals of statistics, and hypothesis testing.
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Contemporary Issues in Collection Management
Kelsey Cameron; Chelsea Chiovelli; Danielle Deschamps; Marty Grande-Sherbert · Open Education Alberta · 2023
This edited, openly licensed, textbook examines several different issues in collection management. Topics covered include physical vs. digital collections; the impact of BookTok on collections; challenges to 2SLGBTQ+ collections ; ebook licensing; ebook pricing; accessible collections for users with physical disabilities; accessible collections for users with invisible disabilities; "just in time"/demand-driven acquisitions; climate change and collections and research data collections.
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Library 160: Introduction to College-Level Research
Iowa State University Library Instruction Services · Iowa State University · 2021
You will learn how scholarly information is produced, organized, and accessed; how to construct and use effective search strategies in a variety of web tools and scholarly databases; how to choose finding tools appropriate to the type of information you need; critical thinking skills in the evaluation of resources; and best practices in the ethical use of information.
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Social Data Analysis
Mikaila Arthur; Roger Clark · Rhode Island College Digital Publishing · 2021
Social data analysis enables you, as a researcher, to organize the facts you collect during your research. Your data may have come from a questionnaire survey, a set of interviews, or observations. They may be data that have been made available to you from some organization, national or international agency or other researchers. Whatever their source, social data can be daunting to put together in a way that makes sense to you and others. This book is meant to help you in your initial attempts to analyze data. In doing so it will introduce you to ways that others have found useful in their attempts to organize data. You might think of it as like a recipe book, a resource that you can refer to as you prepare data for your own consumption and that of others. And, like a recipe book that teaches you to prepare simple dishes, you may find this one pretty exciting. Analyzing data in a revealing way is at least as rewarding, we’ve found, as it is to cook up a yummy cashew carrot paté or a steaming corn chowder. We’d like to share our pleasure with you.
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Practicing and Presenting Social Research
Oral Robinson; Alexander Wilson · University of British Columbia Library
This open-access textbook is for those who want to write exemplary social research. It provides an extensive outline of each step of the research process: outlining practical tools for conceptualizing its beginnings, generating proposals, getting ethics approval, relaxing from the stresses of research, writing academically, conducting a literature review, drafting a methods section, collecting the right data, formulating the findings, and sharing the results. Woven throughout each chapter are testimonies of other students who have likewise persevered through the research process, relating their obstacles, solutions, and motivations to each stage of the research process to illuminate not only the technical goals of research, but also the emotional maturity that research entails.
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Research Methods for Criminal Justice Students
Monica Williams · Monica Williams · 2022
This book is based on two open-access textbooks: Bhattacherjee’s (2012) Social science research: Principles, methods, and practices and Blackstone’s (2012) Principles of sociological inquiry: Qualitative and quantitative methods. I first used Bhattacherjee’s book in a graduate-level criminal justice research methods course. I chose the book because it was an open educational resource that covered the major topics of my course. While I found the book adequate for my purposes, the business school perspective did not always fit with my criminal justice focus. I decided to rewrite the textbook for undergraduate and graduate students in my criminal justice research methods courses. As I researched other open- educational resources for teaching social science research methods, I found Blackstone’s book, which covered more of the social science and qualitative methods perspectives that I wanted to incorporate into my book. As a result, this open-access textbook includes some content from both previous works along with my own additions based on my extensive experience and expertise in conducting qualitative and quantitative research in social science settings and in mentoring students through the research process. My Ph.D. is in Sociology, and I currently teach undergraduates and graduate students in a criminal justice program at Weber State University. Throughout my career, I have conducted and published the results of research projects using a variety of methods, including surveys, case studies, in-depth interviews, participant observation, content analysis, and secondary analysis of quantitative data. I have also mentored undergraduates in conducting community-based research projects using many of these same methods with the addition of focus groups and program evaluations.
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Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R)
Hank Jenkins-Smith; Joseph Ripberger · University of Oklahoma Libraries · 2017
The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publically available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.
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Research Methods in Psychology
Rajiv Jhangiani; I-Chant Chiang · BCcampus · 2015
The present adaptation constitutes the second Canadian edition and was co-authored by Rajiv S. Jhangiani (Kwantlen Polytechnic University) and I-Chant A. Chiang (Quest University Canada) and is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Revisions include the following: Chapter 1: Added a description of the “Many Labs Replication Project,” added a reference to the Neurobonkers website, and embedded videos about open access publishing, driver distraction, two types of empirical studies, and the use of evidence to evaluate the world around us.Chapter 2: Updated the exemplar study in the chapter overview, added relevant examples and descriptions of contemporary studies, provided a link to an interactive visualization for correlations, added a description of double-blind peer review, added a figure to illustrate a spurious correlation, and embedded videos about how to develop a good research topic, searching the PsycINFO database, using Google Scholar, and how to read an academic paper.Chapter 3: Added in LaCour ethical violation. Revised chapter headings and order to reflect TCPS-2 moral principles.Chapter 4: Added in difference between laws and effects and theoretical framework.Chapter 5: Added fuller descriptions of the levels of measurement, added a table to summarize the levels of measurement, added a fuller description of the MMPI, removed the discussion of the IAT, and added descriptions of concurrent, predictive, and convergent validity.Chapter 6: Added in construct validity, statistical validity, mundane realism, psychological realism, Latin Square Design. Updated references.Chapter 7: Added in mixed-design studies and fuller discussion of qualitative-quantitative debate.Chapter 8: Added an exercise to sketch the 8 possible results of a 2 x 2 factorial experiment.Chapter 9: Added information about Canadian Election Studies, more references, specific guidelines about order and open-ended questions, and rating
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Principles of Macroeconomics for AP® Courses 2e
Steven Greenlaw; David Shapiro · OpenStax · 2017
Principles of Macroeconomics 3e covers the scope and sequence of most one semester introductory macroeconomics courses. The third edition takes a balanced approach to the theory and application of macroeconomics concepts. The text uses conversational language and ample illustrations to explore economic theories, and provides a wide array of examples using both fictional and real-world scenarios. The third edition has been carefully and thoroughly updated to reflect current data and understanding, as well as to provide a deeper background in diverse contributors and their impacts on economic thought and analysis. For example, the third edition highlights the research and views of a broader group of economists. Brief references and deeply explored socio-political examples have also been updated to showcase the critical – and sometimes unnoticed – ties between economic developments and topics relevant to students. A fuller list of changes made in Principles of Macroeconomics 3e are described in the preface and the transition guide to help instructors transition to the third edition.