An Introduction to Research, Analysis, and Writing

Practical Skills for Social Science Students

Author: Bruce Oliver Newsome

Publisher: SAGE Publications

ISBN: 1483352560

Category: Social Science

Page: 376

View: 4828

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An Introduction to Research, Analysis, and Writing by Bruce Oliver Newsome is an accessible guide that walks readers through the process of completing a social science project. Written specifically to meet the needs of undergraduate research classes, it introduces students to a complete skill set, including: planning, design, analysis, argumentation, criticizing theories, building theories, modeling theories, choosing methods, gathering data, presenting evidence, and writing the final product. Students can use this text as a practical resource to navigate through each stage of the process, including choices between more advanced research techniques.
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Quantitative Social Science

An Introduction

Author: Kosuke Imai

Publisher: Princeton University Press

ISBN: 0691175462

Category: Social Science

Page: 432

View: 2590

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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields 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
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Using R for Data Analysis in Social Sciences

A Research Project-Oriented Approach

Author: Quan Li

Publisher: Oxford University Press

ISBN: 0190656212

Category: Business & Economics

Page: 366

View: 415

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Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.
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How to Do Your Research Project

A Guide for Students

Author: Gary Thomas

Publisher: SAGE

ISBN: 1526414570

Category: Reference

Page: 360

View: 8814

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The Third Edition of this bestselling title continues to lead the way as an essential guide for anyone undertaking a research project in the applied social sciences.
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Research Methods in Sport Studies and Sport Management

A Practical Guide

Author: A.J. Veal,Simon Darcy

Publisher: Routledge

ISBN: 1317691156

Category: Social Science

Page: 616

View: 5069

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Research can be a challenging but rewarding activity. All degree-level students studying sport, and all effective professionals working in the sport sector need to have a sound understanding of research methods and how to critically interpret research findings. This broad-ranging, in-depth and practical textbook introduces research methods for students on sport-related degree courses, outlining the knowledge and practical skills needed to undertake meaningful research and to become a knowledgeable consumer of the research of others. The book explores every element of the research process, from the fundamental ‘what, why and who?’ questions, through research plans, literature review, qualitative and quantitative methods of data collection and data analysis, to the communication of research results. It offers a critical appraisal of alternative methods, including mixed methods, as well as clear guidance on how to use each particular method. Every chapter contains test questions and practical exercises, detailed case studies, a clear chapter summary and extensive guides to further sport-related study resources, to enable students to check their understanding and develop, extend and apply their practical skills. Step-by-step introductions to the use of the key statistical packages Excel, SPSS and NVivo in sport research are included. On-line support materials include some 400 PowerPoint slides and copies of data-sets used in the book. With deeper and broader coverage than any other sport-related research methods textbook, and a clear focus on ‘how to do it’, Research Methods for Sport Studies and Sport Management is an essential companion for any sport-related degree course.
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Statistical Analysis for Education and Psychology Researchers

Tools for Researchers in Education and Psychology

Author: Ian Peers

Publisher: Routledge

ISBN: 1135717524

Category: Education

Page: 436

View: 6913

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Basic statistical concepts such as probability, estimation and inference, and their role in research design and analysis are presented in this volume. The author demonstrates which statistical test to use in given circumstances and how to use it, drawing on data from psychology and education.; Written for those without a strong mathematical background, the book's examples can be worked using a pocket calculator. "Real life" data are analyzed using statistical software (SAS), output is interpreted, and a decision chart is presented which summarizes considerations when choosing a statistical test.
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Adventures in Social Research

Data Analysis Using IBM SPSS Statistics

Author: Earl R. Babbie,William E. Wagner, III,Fred S. Halley

Publisher: Pine Forge Press

ISBN: 1412982448

Category: Social Science

Page: 430

View: 5134

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Click on the Supplements tab above for further details on the different versions of SPSS programs.
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Transcribing Talk and Interaction

Issues in the representation of communication data

Author: Christopher Joseph Jenks

Publisher: John Benjamins Publishing

ISBN: 9027285063

Category: Language Arts & Disciplines

Page: 120

View: 1254

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Interest in transcript-based research has grown significantly in recent years. Alongside this growth has been an increase in awareness of the empirical utility of naturalistic research on language use in interaction. However, a quick scan of the literature reveals that very few transcription books have been published in the past three decades. This is an astonishing fact given that there are perhaps hundreds of books published on spoken discourse analysis. This book aims to narrow this gap by providing an introduction to the theories and practices related to transcribing communication data. The book is intended for students with little to no knowledge of transcription work and/or instructors responsible for teaching introductory courses on transcript-based research. Readers who are learning or teaching discourse/conversation analysis or similar analytic methods of investigation will find this book particularly helpful. The author: Christopher Jenks has many years of experience teaching transcription work and analysis of communication data to postgraduate students and researchers. In addition to running workshops and giving presentations on similar topics at universities around the world, he has published widely in top international journals and has numerous other forthcoming publications.
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