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Understanding and applying research methods and statistics in psychology is one of the corner stones of study at undergraduate level. To enable all undergraduate psychology students to carry out their own investigations the textbook covers basic and advanced qualitative and quantitative methods and follows a sequential structure starting from first principles to more advanced techniques. Accompanied by a companion website, the textbook: - Grounds all techniques to psychological theory relating each topic under discussion to well established pieces of research - Can be used by the student at beginning and more advanced undergraduate level - therefore a `one-stop′ shop - Includes a creative and practical selection of heuristic devices that cement knowledge of the techniques and skills covered in the textbook
A perennial bestseller since 1997, this updated tenth edition of Understanding Research Methods provides a detailed overview of all the important concepts traditionally covered in a research methods class. It covers the principles of both qualitative and quantitative research, and how to interpret statistics without computations, so is suitable for all students regardless of their math background. The book is organized so that each concept is treated independently and can be used in any order without resulting in gaps in knowledge—allowing it to be easily and precisely adapted to any course. It uses lively examples on contemporary topics to stimulate students’ interest, and engages them by showing the relevance of research methods to their everyday lives. Numerous case studies and end-of-section exercises help students master the material and encourage classroom discussion. The text is divided into short, independent topic sections, making it easy for you to adapt the material to your own teaching needs and customize assignments to the aspect of qualitative or quantitative methods under study—helping to improve students’ comprehension and retention of difficult concepts. Additional online PowerPoint slides and test bank questions make this a complete resource for introducing students to research methods. New to this edition: New topic section on design decisions in research Additional material on production of knowledge and research methods Significant development of material on ethical considerations in research Fresh and contemporary examples from a wide variety of real, published research Topic-specific exercises at the end of each section now include suggestions for further steps researchers can take as they build their research project.
`This book is highly recommended for libraries and departments to adopt. If I had to teach a statistics class for sociology students this would be a book I would surely choose. The book achieves two very important goals: it teaches students a software package and trains them in the statistical analysis of sociological data′ - Journal of Applied Statistics This fully revised, expanded and updated Second Edition of the best-selling textbook by Jane Fielding and Nigel Gilbert provides a comprehensive yet accessible guide to quantitative data analysis. Designed to help take the fear out of the use of numbers in social research, this textbook introduces students to statistics as a powerful means of revealing patterns in human behaviour. The textbook covers everything typically included in an introductory course on social statistics for students in the social sciences and the authors have taken the opportunity of this Second Edition to bring the data sources as current as possible. The book is full of up-to-date examples and useful and clear illustrations using the latest SPSS software. While maintaining the student-friendly elements of the first, such as chapter summaries, exercises at the end of each chapter, and a glossary of key terms, new features to this edition include: - Updated examples and references SPSS coverage and screen-shots now incorporate the current version 14.0 and are used to demonstrate the latest social statistics datasets; - Additions to content include a brand new section on developing a coding frame and an additional discussion of weighting counts as a means of analyzing published statistics; - Enhanced design aids navigation which is further simplified by the addition of core objectives for each chapter and bullet-pointed chapter summaries; - The updated Website at http:/www.soc.surrey.ac.uk/uss/index.html reflects changes made to the text and provides updated datasets; A valuable and practical guide for students dealing with the large amounts of data that are typically collected in social surveys, the Second Edition of Understanding Social Statistics is an essential textbook for courses on statistics and quantitative research across the social sciences.
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
Managers and administrators in the public-policy and nonprofit sectors rely heavily on analytical skills to quickly pore through a massive amount of research. They dissect it and apply specific, useful data that can inform critical policy changes and help them improve their organization’s overall performance and financial position. To master this vital role, it is imperative that they and their staff learn to be more efficient at collecting, analyzing and evaluating research material, by discovering how to ask the right questions and quickly discern valuable information from useless data. A Blueprint to Streamline Every Aspect of the Research Process Focusing on the entire research process from start to finish, the compact but comprehensive Understanding Research Methods: A Guide for the Public and Nonprofit Manager explores the research designs and analytical tools that are the foundation for decision-making. Relying more on concepts and analysis than on mathematics, this text provides insight into the definition, process, importance, and capabilities of research – addressing the topic from the perspectives of both the producer of data and the consumer who evaluates its usefulness. Broken down into three sections, the book: Gives an overview of the research process, the construction of measures, and research ethics Elaborates on planning a research method, presenting common research designs used by practitioners and the most useful, popular ways to collect data Focuses on tools available to analyze and then communicate data – specifically univariate and bivariate analyses This versatile text is intended for dual uses – as a textbook for graduate and undergraduate students in public and nonprofit administration and public policy, and as a practical guide for the average administrator. Both groups will learn how to develop proper research questions, define specific research purposes, and form hypotheses that avoid confusion in measurement and analysis. Imparting basic practical knowledge, it outlines effective approaches to gather accurate, relevant information and then effectively interpret and communicate it.
Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. Statistics for Political Analysis makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.
There is virtually no way to complete one's education without encountering a research report. The book that has helped demystify qualitative and quantitative research articles for thousands of readers, from the authors of the best-selling Proposals that Work, has been revised. This edition is completely reorganized to separate quantitative and qualitative research with four new distinct sections (research reports, quantitative research, qualitative research, and research reviews. The authors presume no special background in research, and begin by introducing and framing the notion of reading research within a wider social context. Next they offer insight on when to seek out research, locating and selecting the right reports, and how to help evaluate research for trustworthiness.
This seamless introduction to statistics and research methods identifies various research areas and analyzes how one approaches them statistically.
A revised and updated edition of this text on social science research, which aims to show the student how to conduct successful research and use the findings to best effect.
The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text 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? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached? Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.