Quantitative Social Science

An Introduction

Author: Kosuke Imai

Publisher: Princeton University Press

ISBN: 1400885256

Category: Social Science

Page: 432

View: 541

Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides

Quantitative Social Science Data with R

An Introduction

Author: Brian J. Fogarty

Publisher: SAGE Publications Limited

ISBN: 1526459744

Category: Social Science

Page: 328

View: 3565

"A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogarty's book gives you a toolbox for starting statistical analysis and developing your skills" - Jamie Monogan, Associate Professor of Political Science, University of Georgia Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned. Brian J. Fogarty is a Lecturer in Quantitative Social Science on the Glasgow Q-Step Programme in the School of Social and Political Sciences at the University of Glasgow.

Wahrscheinlichkeitsrechnung und Statistik

Author: Robert Hafner

Publisher: Springer-Verlag

ISBN: 3709169445

Category: Mathematics

Page: 512

View: 6723

Das Buch ist eine Einführung in die Wahrscheinlichkeitsrechnung und mathematische Statistik auf mittlerem mathematischen Niveau. Die Pädagogik der Darstellung unterscheidet sich in wesentlichen Teilen – Einführung der Modelle für unabhängige und abhängige Experimente, Darstellung des Suffizienzbegriffes, Ausführung des Zusammenhanges zwischen Testtheorie und Theorie der Bereichschätzung, allgemeine Diskussion der Modellentwicklung – erheblich von der anderer vergleichbarer Lehrbücher. Die Darstellung ist, soweit auf diesem Niveau möglich, mathematisch exakt, verzichtet aber bewußt und ebenfalls im Gegensatz zu vergleichbaren Texten auf die Erörterung von Meßbarkeitsfragen. Der Leser wird dadurch erheblich entlastet, ohne daß wesentliche Substanz verlorengeht. Das Buch will allen, die an der Anwendung der Statistik auf solider Grundlage interessiert sind, eine Einführung bieten, und richtet sich an Studierende und Dozenten aller Studienrichtungen, für die mathematische Statistik ein Werkzeug ist.

Science and Social Science

An Introduction

Author: Malcolm Williams

Publisher: Psychology Press

ISBN: 0415194857

Category: Social Science

Page: 173

View: 5457

Annotation Williams (sociology, U. of Plymouth) explores the basic philosophical issues of the role of natural science methodologies in the realm of social science. Intending his work as an introduction to the topic, he looks at the history of science, evaluates notions of value freedom, and explores the role of current complexity studies in both realms.

Evaluating Social Science Research

An Introduction

Author: Thomas R. Black

Publisher: SAGE

ISBN: 9781446227763

Category: Social sciences

Page: 196

View: 6317

This volume offers students a basic introduction to assessing the meaning and validity of research in the social sciences and related fields. The ability to "read "published research critically is essential and is different from the skills involved in "undertaking "research using statistical analysis. Thomas R Black explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Are the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached?

Neural Networks

An Introductory Guide for Social Scientists

Author: G David Garson

Publisher: SAGE

ISBN: 0857026275

Category: Social Science

Page: 208

View: 2792

This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modelling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.

Social Science

An Introduction to the Study of Society -- Pearson eText

Author: David C. Colander

Publisher: Routledge

ISBN: 1317344154

Category: Social Science

Page: 480

View: 1419

Social Science, 15/e, approaches social science from a common-sense perspective, rather than from a conventional social science angle. Readers will see how seemingly diverse disciplines intermingle – anthropology and economics, for example. In the end, students will be able to approach social issues with unbiased problem-solving skills.

Non-Equilibrium Social Science and Policy

Introduction and Essays on New and Changing Paradigms in Socio-Economic Thinking

Author: Jeffrey Johnson,Andrzej Nowak,Paul Ormerod,Bridget Rosewell,Yi-Cheng Zhang

Publisher: Springer

ISBN: 3319424246

Category: Science

Page: 232

View: 9402

The overall aim of this book, an outcome of the European FP7 FET Open NESS project, is to contribute to the ongoing effort to put the quantitative social sciences on a proper footing for the 21st century. A key focus is economics, and its implications on policy making, where the still dominant traditional approach increasingly struggles to capture the economic realities we observe in the world today - with vested interests getting too often in the way of real advances. Insights into behavioral economics and modern computing techniques have made possible both the integration of larger information sets and the exploration of disequilibrium behavior. The domain-based chapters of this work illustrate how economic theory is the only branch of social sciences which still holds to its old paradigm of an equilibrium science - an assumption that has already been relaxed in all related fields of research in the light of recent advances in complex and dynamical systems theory and related data mining. The other chapters give various takes on policy and decision making in this context. Written in nontechnical style throughout, with a mix of tutorial and essay-like contributions, this book will benefit all researchers, scientists, professionals and practitioners interested in learning about the 'thinking in complexity' to understand how socio-economic systems really work.

Mixed Methods

Methodologie, Forschungsdesigns und Analyseverfahren

Author: Udo Kuckartz

Publisher: Springer-Verlag

ISBN: 3531932675

Category: Social Science

Page: 162

View: 9184

Mixed Methods-Ansätze gelten mittlerweile im angelsächsischen Raum als „drittes methodologisches Paradigma“ jenseits der Dualität von qualitativ versus quantitativ. Dieses Buch macht Forscher aus den Sozial- und Erziehungswissenschaften mit diesem neuen Methodenverständnis vertraut und gibt eine praktische Einführung in Designformen und Analysemethoden.

Introduction to Social Research

Quantitative and Qualitative Approaches

Author: Keith F Punch

Publisher: SAGE

ISBN: 1446296164

Category: Social Science

Page: 408

View: 6095

In the new edition of Introduction to Social Research, Keith Punch takes a fresh look at the entire research process, from formulating a research question to writing up your research. Covering qualitative, quantitative and mixed methods, the book focuses on matching research questions to appropriate methods. Offering concise, balanced coverage, this book clearly explains the underlying principles of social research and shows you how to put this understanding into practice. The third edition includes: A new chapter on literature searching and reviewing Expanded coverage of ethics A new section on using the internet in research A range of additional student learning features A brand new companion website including full-text journal articles, additional case studies and video tutorials. Using a range of examples from student research and published work, the book is an ideal introduction for any social science student taking a research methods course or embarking on their own undergraduate or postgraduate research project. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

Quantitative Data Analysis Using SPSS

An Introduction for Health & Social Science

Author: Pete Greasley

Publisher: McGraw-Hill Education (UK)

ISBN: 033523514X

Category: Medical

Page: 146

View: 4154

"This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusively closed questions amenable to statistical analysis." Primary Health Care Research and Development "The text is a welcome addition for nursing students at both undergraduate and postgraduate level research. Having reviewed the text I can only inform you how a student described a chapter in the book recently when she borrowed it. 'The language is clear and unambiguous'. I will be strongly encouraging students to either purchase the text ... with the purpose of giving them a foundation in statistics." William Evans, Institute of Technology Tralee, Ireland This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS. The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data. Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease. Topics covered include: Questionnaires and how to analyse them Coding the data for SPSS, setting up an SPSS database and entering the data Descriptive statistics and illustrating the data using graphs Cross-tabulation and the Chi-square statistic Correlation: examining relationships between interval data Examining differences between two sets of scores Reporting the results and presenting the data Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.

Grounded theory

Grundlagen qualitativer Sozialforschung

Author: Anselm L. Strauss,Juliet M. Corbin

Publisher: N.A

ISBN: 9783621272650

Category: Grounded theory

Page: 227

View: 3773

Studierende und Forscher verschiedener Disziplinen, die am Entwickeln einer Theorie interessiert sind, stellen sich nach der Datenerhebung oft die Frage: Wie komme ich zu einer Theorie, die sich auf die empirische Realität gründet? Die Autoren beantworten diese und andere Fragen, die sich bei der qualitativen Interpretation von Daten ergeben. Auf klare und einfache Art geschrieben vermittelt das Buch Schritt für Schritt die grundlegenden Kenntnisse und Verfahrensweisen der "grounded theory" (datenbasierte Theorie), so daß es besonders für Personen interessant ist, die sich zum ersten Mal mit der Theorienbildung anhand qualitativer Datenanalyse beschäftigen. Das Buch gliedert sich in drei Teile. Teil I bietet einen Überblick über die Denkweise, die der "grounded theory" zugrunde liegt. Teil II stellt die speziellen Techniken und Verfahrensweisen genau dar, wie z.B. verschiedene Kodierungsarten. In Teil III werden zusätzliche Verfahrensweisen erklärt und Evaluationskriterien genannt.

Strabons Geographika: Buch XIV-XVII, Text und Übersetzung

Author: Strabo

Publisher: Vandenhoeck & Ruprecht

ISBN: 9783525259535

Category: History

Page: 574

View: 7204

English summary: The only geographical description which has been preserved of the Hellenic and Roman world. Volume 4 (XIV-XVII: Text and translation): Asia Minor (continuation), Persia, India, Middle East, Egypt, North Africa. This volume completes the presentation of the greek text and of its translation. German description: Die auf zehn Bande angelegte Ausgabe enthalt einen aufgrund neuer Kollationierung der Haupthandschriften und unter Berucksichtigung der gesamten zu Strabon erschienenen Sekundarliteratur konstituierten Text mit kritischem und Testimonien-Apparat und deutscher Ubersetzung (Bande 1-4), einen Kommentar (Bande 5-8), eine Transkription der mittelalterlichen Strabon Epitome und Chrestomathie, die es erlaubt, jeweils mit einem Blick festzustellen, welche Teile des Strabontextes diese wichtigen Textzeugen enthalten (Band 9), und einen Registerband. Die Bande erscheinen jeweils im Abstand von etwa einem Jahr.