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Research Methods and Data Analysis for Business Decisions: A Primer Using SPSS (Classroom Companion: Business)
by James E. Sallis Geir Gripsrud Ulf Henning Olsson Ragnhild SilkosetThis introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Research Methods and Methodologies in Education
by Michael Waring Robert Coe Laura Day Ashley Larry V HedgeYour #1 resource for carrying out educational research as part of postgraduate study. High-quality educational research requires careful consideration of every aspect of the process. This all-encompassing textbook written by leading international experts gives you a considered overview of the principles that underpin research, and key qualitative, quantitative and mixed methods for research design, data collection and analysis. This fourth edition includes four new chapters on: Doing a literature review Measurement and validity Using R (with RStudio & Tidyverse) Data transparency, reproducibility, and replicability In addition, across the book, authors touch on the emergent use of generative AI tools as part of the educational research process. Also, chapters have been reordered to better reflect the research process and to emphasise commonalities between methodological approaches and tools. This is essential reading for postgraduate students on education courses and early career researchers looking to sharpen their research practice.
Research Methods and Methodologies in Education
by Michael Waring Robert Coe Laura Day Ashley Larry V HedgeYour #1 resource for carrying out educational research as part of postgraduate study. High-quality educational research requires careful consideration of every aspect of the process. This all-encompassing textbook written by leading international experts gives you a considered overview of the principles that underpin research, and key qualitative, quantitative and mixed methods for research design, data collection and analysis. This fourth edition includes four new chapters on: Doing a literature review Measurement and validity Using R (with RStudio & Tidyverse) Data transparency, reproducibility, and replicability In addition, across the book, authors touch on the emergent use of generative AI tools as part of the educational research process. Also, chapters have been reordered to better reflect the research process and to emphasise commonalities between methodological approaches and tools. This is essential reading for postgraduate students on education courses and early career researchers looking to sharpen their research practice.
Research Methods and Methodologies in Education
by Michael Waring Robert Coe Larry V Hedges Laura Day AshleyYour #1 resource for carrying out educational research as part of postgraduate study. High-quality educational research requires careful consideration of every aspect of the process. This all-encompassing textbook written by leading international experts gives you considered overview of principles that underpin research, and key qualitative, quantitative and mixed methods for research design, data collection and analysis. This third edition includes four new chapters: Disseminating your research Data science and computational research methods Observational methods Analysis of variance (ANOVA) Plus a new Research essentials feature that highlights key ‘must-haves’ or misconceptions relating to each methodological approach, research design or analytical tool discussed. This is essential reading for postgraduate students on education courses and early career researchers looking to sharpen their research practice.
Research Methods and Methodologies in Education
by Michael Waring Robert Coe Larry V Hedges Laura Day AshleyYour #1 resource for carrying out educational research as part of postgraduate study. High-quality educational research requires careful consideration of every aspect of the process. This all-encompassing textbook written by leading international experts gives you considered overview of principles that underpin research, and key qualitative, quantitative and mixed methods for research design, data collection and analysis. This third edition includes four new chapters: Disseminating your research Data science and computational research methods Observational methods Analysis of variance (ANOVA) Plus a new Research essentials feature that highlights key ‘must-haves’ or misconceptions relating to each methodological approach, research design or analytical tool discussed. This is essential reading for postgraduate students on education courses and early career researchers looking to sharpen their research practice.
Research Methods and Statistics
by Bernard C. Beins Maureen A. McCarthyThinking critically about research and data analysis Beins and McCarthy present a seamless introduction to statistics and research methods, identifying different research areas and how one approaches them statistically. The text is designed for a one- or two-semester combined course in Statistics and Research Methods/Experimental Psychology. It helps students develop critical thinking skills about research and data analysis they see in the news and to evaluate claims people make based on that research. Teaching & Learning Experience Improve Critical Thinking - The entire text helps students develop critical thinking skills about research and data analysis they see in the news and to evaluate claims people make about research. Support Instructors - MyTest, PowerPoints, and an instructor's manual offer additional support for instructors.
Research Methods and Statistics in Psychology
by Hugh CoolicanThis sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook. New features in the sixth edition include: "Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes. Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis. A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print. Discussion of contemporary issues and debates, including recent coverage of journals' reluctance to publish replication of studies. Fully updated online links, offering even more information and useful resources, especially for statistics. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website (www.routledge.com/cw/coolican) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.
Research Methods and Statistics in Psychology
by Hugh CoolicanThe seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of experimental, interviewing and observational methods, psychological testing, qualitative methods and analysis and statistical procedures which include nominal level tests, multi-factorial ANOVA designs, multiple regression, log linear analysis, and factor analysis. It features detailed and illustrated SPSS instructions for all these and other procedures, eliminating the need for an extra SPSS textbook. New features to this edition include: Additional coverage of factor analysis and online and modern research methods Expanded coverage of report writing guidelines References updated throughout Presentation updated throughout, to include more figures, tables and full colour to help break up the text Companion website signposted throughout the book to improve student usability Improved and extended web links and further reading associated with every chapter. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A fully updated companion website (www.routledge.com/cw/coolican) provides additional exercises, testbanks for each chapter, revision flash cards, links to further reading and data for use with SPSS.
Research Methods and Statistics in Psychology
by Hugh CoolicanResearch Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project, giving advice on planning and conducting studies, analysing data and writing up reports, both quantitative and qualitative. It incorporates diversity and includes a large section on cross-cultural psychology methods and issues. The book continues its long tradition of integrating qualitative issues into methods chapters as well as providing two chapters dedicated to qualitative methods. It provides clear coverage of experimental, interviewing and observational methods; psychological testing; and statistical procedures which include nominal-level tests, ordinal and interval two-condition tests, simple and multi-factorial ANOVA designs, correlation, multiple regression, log linear analysis, factor analysis and, new with this edition, logistic regression. It features detailed and illustrated SPSS instructions for all these and other procedures, eliminating the need for an extra SPSS textbook. New edition features include: • Logistic regression. • Greater detail of online research methods. • Expanded coverage of report writing guidelines. • Concepts illustrated with up-to-date published research examples. • Instructor and Student Resource website signposted throughout the book to improve student usability. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. This book is extended and enhanced by a fully updated and refreshed Instructor and Student Resource website, which includes: • A collection of interactive multiple-choice questions with detailed feedback, providing the opportunity to test understanding at different levels. • Practical exercises that give students the opportunity to put their learning into practice. • Links to further reading and sources to expand knowledge. • Test banks for each chapter to save instructors time. Access the website at: www.routledge.com/cw/coolican.
Research Methods and Statistics: A Critical Thinking Approach (5th Edition)
by Sherri L. JacksonRESEARCH METHODS AND STATISTICS: A CRITICAL THINKING APPROACH, 5th Edition, successfully illustrates the integration between statistics and research methods by demonstrating the ways to use statistics in analyzing data collected during research. Jackson's combined text adopts an inviting narrative style that speaks directly to students and draws them into the material, helping them overcome the initial apprehension they may feel at having to learn both subject areas at once. Focusing on the logic of the process and the methodology aspect of research, Jackson incorporates a student-friendly critical-thinking approach and presents examples and exercises to which students can relate.
Research Methods and Statistics: A Critical Thinking Approach,Fourth Edition
by Sherri L. JacksonRESEARCH METHODS AND STATISTICS: A CRITICAL THINKING APPROACH, 4e, successfully illustrates the integration between statistics and research methods by demonstrating the ways to use statistics in analyzing data collected during research. Jackson's combined text adopts an inviting narrative style that draws you into the material, helping you overcome the initial apprehension you may feel at having to learn both subject areas at once. She incorporates a student-friendly critical-thinking approach and presents examples and exercises to which you can relate. Jackson focuses on the logic of the process and the methodology aspect of research.
Research Methods and Statistics: An Integrated Approach
by Janie H. Wilson Shauna W. JoyeThis innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it. Research questions and designs become more complex as chapters progress, building on simpler questions to reinforce student learning. Using a conversational style and research examples from published works, this comprehensive book walks readers through the entire research process and includes ample pedagogical support for SPSS, Excel, and APA style.
Research Methods and Statistics: An Integrated Approach
by Janie H. Wilson Shauna W. JoyeThis innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it. Research questions and designs become more complex as chapters progress, building on simpler questions to reinforce student learning. Using a conversational style and research examples from published works, this comprehensive book walks readers through the entire research process and includes ample pedagogical support for SPSS, Excel, and APA style.
Research Methods for Everyday Life
by Deidre D. Johnson Scott W. VanderstoepThis book offers an innovative introduction to social research. The book explores all stages of the research process and it features both quantitative and qualitative methods. Research design topics include sampling techniques, choosing a research design, and determining research question that inform public opinion and direct future studies. Throughout the book, the authors provide vivid and engaging examples that reinforce the reading and understanding of social science research. "Your Turn" boxes contain activities that allow students to practice research skills, such as sampling, naturalistic observation, survey collection, coding, analysis, and report writing.
Research Methods for Medical Graduates
by Abhaya IndrayanThis book discusses the why and how of each step of data-based medical research that can provide basic information to emerging researchers and medical graduate students who write theses or publish articles. The chapters are arranged in the sequence of steps for data-based research. The research steps are comprehensively covered from the selection of the topic to the final publication. Reporting methods such as CONSORT, STARD, and SAMPL guidelines are also covered. Each chapter has separately earmarked examples from the contemporary literature that illustrate the different research methods. Key Features Discusses all the steps of data-based medical research Examines the topics in depth by way of examples from contemporary literature Features notable information in boxes for special attention .
Research Methods for Postgraduates
by Tony Greenfield Sue GreenerResearch Methods for Postgraduates brings together guidance for postgraduate students on how to organise, plan and do research from an interdisciplinary perspective. In this new edition, the already wide-ranging coverage is enhanced by the addition of new chapters on social media, evaluating the research process, Kansei engineering and medical research reporting. The extensive updates also provide the latest guidance on issues relevant to postgraduates in all subject areas, from writing a proposal and securing research funds, to data analysis and the presentation of research, through to intellectual property protection and career opportunities. This thoroughly revised new edition provides: Clear and concise advice from distinguished international researchers on how to plan, organise and conduct research. New chapters explore social media in research, evaluate the research process, Kansei engineering and discuss the reporting of medical research. Check lists and diagrams throughout.
Research Methods for the Behavioral and Social Sciences
by Christopher J. Cunningham Bart L. Weathington David J. PittengerA comprehensive introduction to research methods and best practices for designing,conducting, interpreting, and reporting findings This text is designed to develop in students a passion for conducting research and an understanding of the practical value of systematic information- gathering and decision-making. It features step-by-step coverage of the research process including research design, statistical considerations, and guidance on writing up and presenting results. Recognized leaders in the field—authors Bart Weathington, Christopher Cunningham, and David Pittenger—present: Introductions to multiple research designs—including single-participant, multi-group, longitudinal, correlational, and experimental designs—accompanied by examples Bibliographic research and methods for appropriate sampling Identifying, developing, and evaluating reliable and valid approaches to measurement The issues and steps common to all single-factor and multifactor studies, as well as single-subject and nonexperimental methods How to summarize research in writing that conforms to the editorial guidelines of the American Psychological Association A comprehensive review of research methods and the statistical concepts that support them, Research Methods for the Behavioral and Social Sciences offers the best techniques for studying behavior and social phenomena.
Research Methods in Psychology For Dummies
by Donncha Hanna Martin DempsterYour hands-on introduction to research methods in psychology Looking for an easily accessible overview of research methods in psychology? This is the book for you! Whether you need to get ahead in class, you're pressed for time, or you just want a take on a topic that's not covered in your textbook, Research Methods in Psychology For Dummies has you covered. Written in plain English and packed with easy-to-follow instruction, this friendly guide takes the intimidation out of the subject and tackles the fundamentals of psychology research in a way that makes it approachable and comprehensible, no matter your background. Inside, you'll find expert coverage of qualitative and quantitative research methods, including surveys, case studies, laboratory observations, tests and experiments--and much more. Serves as an excellent supplement to course textbooks Provides a clear introduction to the scientific method Presents the methodologies and techniques used in psychology research Written by the authors of Psychology Statistics For Dummies If you're a first or second year psychology student and want to supplement your doorstop-sized psychology textbook--and boost your chances of scoring higher at exam time--this hands-on guide breaks down the subject into easily digestible bits and propels you towards success.
Research Methods in Psychology: A Handbook
by Wendy A. SchweigertThis handbook provides a brief but thorough introduction to the most commonly used research methods in psychology (as well as a number of related topics such as statistics, ethics, and literature searches). The book includes much of the same information presented in longer texts, but in a more succinct format.
Research Methods, Statistics, and Applications
by Kathrynn A. Adams Eva Kung McGuire (aka: Lawrence)Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire is designed to give students the experience of being a researcher by combining the interrelated concepts of research methods and statistics to better explain how the research process incorporates both elements. Employing a conversational tone throughout, coupled with an emphasis on decision-making, this best-selling text will spark students’ interest in conducting research and improve their ability to critically analyze research in their daily lives. The Third Edition includes a new chapter on measurement to better highlight its critical importance, updates for the 7th edition of the Publication Manual of the American Psychological Association, new examples related to social justice, additional sections on qualitative research methods, and more thorough integration of research ethics information and tips throughout each chapter.
Research Methods, Statistics, and Applications
by Kathrynn A. Adams Eva Kung McGuire (aka: Lawrence)Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire is designed to give students the experience of being a researcher by combining the interrelated concepts of research methods and statistics to better explain how the research process incorporates both elements. Employing a conversational tone throughout, coupled with an emphasis on decision-making, this best-selling text will spark students’ interest in conducting research and improve their ability to critically analyze research in their daily lives. The Third Edition includes a new chapter on measurement to better highlight its critical importance, updates for the 7th edition of the Publication Manual of the American Psychological Association, new examples related to social justice, additional sections on qualitative research methods, and more thorough integration of research ethics information and tips throughout each chapter.
Research On and Activities For Mathematically Gifted Students (ICME-13 Monographs)
by Linda Jensen Sheffield Florence Mihaela Singer Viktor Freiman Matthias BrandlThis Topical Survey offers a brief overview of the current state of research on and activities for mathematically gifted students around the world. This is of interest to a broad readership, including educational researchers, research mathematicians, mathematics teachers, teacher educators, curriculum designers, doctoral students, and other stakeholders. It first discusses research concerning the nature of mathematical giftedness, including theoretical frameworks and methodologies that are helpful in identifying and/or creating mathematically gifted students, which is described in this section. It also focuses on research on and the development of mathematical talent and innovation in students, including connections between cognitive, social and affective aspects of mathematically gifted students. Exemplary teaching and learning practices, curricula and a variety of programs that contribute to the development of mathematical talent, gifts, and passion are described as well as the pedagogy and mathematics content suitable for educating pre-service and in-service teachers of mathematically gifted students. The final section provides a brief summary of the paper along with suggestions for the research, activities, and resources that should be available to support mathematically gifted students and their teachers, parents, and other stakeholders.
Research Problems in Function Theory: Fiftieth Anniversary Edition (Problem Books in Mathematics)
by Walter K. Hayman Eleanor F. LinghamIn 1967 Walter K. Hayman published ‘Research Problems in Function Theory’, a list of 141 problems in seven areas of function theory. In the decades following, this list was extended to include two additional areas of complex analysis, updates on progress in solving existing problems, and over 520 research problems from mathematicians worldwide. It became known as ‘Hayman's List’. This Fiftieth Anniversary Edition contains the complete ‘Hayman's List’ for the first time in book form, along with 31 new problems by leading international mathematicians. This list has directed complex analysis research for the last half-century, and the new edition will help guide future research in the subject. The book contains up-to-date information on each problem, gathered from the international mathematics community, and where possible suggests directions for further investigation. Aimed at both early career and established researchers, this book provides the key problems and results needed to progress in the most important research questions in complex analysis, and documents the developments of the past 50 years.
Research Schools on Number Theory in India: During the 20th Century
by Purabi MukherjiThis book is an attempt to describe the gradual development of the major schools of research on number theory in South India, Punjab, Mumbai, Bengal, and Bihar—including the establishment of Tata Institute of Fundamental Research (TIFR), Mumbai, a landmark event in the history of research of number theory in India. Research on number theory in India during modern times started with the advent of the iconic genius Srinivasa Ramanujan, inspiring mathematicians around the world. This book discusses the national and international impact of the research made by Indian number theorists. It also includes a carefully compiled, comprehensive bibliography of major 20th century Indian number theorists making this book important from the standpoint of historic documentation and a valuable resource for researchers of the field for their literature survey. This book also briefly discusses the importance of number theory in the modern world of mathematics, including applications of the results developed by indigenous number theorists in practical fields. Since the book is written from the viewpoint of the history of science, technical jargon and mathematical expressions have been avoided as much as possible.
Research Software Engineering with Python: Building software that makes research possible
by Greg Wilson Damien Irving Kate Hertweck Luke Johnston Joel Ostblom Charlotte WickhamWriting and running software is now as much a part of science as telescopes and test tubes, but most researchers are never taught how to do either well. As a result, it takes them longer to accomplish simple tasks than it should, and it is harder for them to share their work with others than it needs to be. This book introduces the concepts, tools, and skills that researchers need to get more done in less time and with less pain. Based on the practical experiences of its authors, who collectively have spent several decades teaching software skills to scientists, it covers everything graduate-level researchers need to automate their workflows, collaborate with colleagues, ensure that their results are trustworthy, and publish what they have built so that others can build on it. The book assumes only a basic knowledge of Python as a starting point, and shows readers how it, the Unix shell, Git, Make, and related tools can give them more time to focus on the research they actually want to do. Research Software Engineering with Python can be used as the main text in a one-semester course or for self-guided study. A running example shows how to organize a small research project step by step; over a hundred exercises give readers a chance to practice these skills themselves, while a glossary defining over two hundred terms will help readers find their way through the terminology. All of the material can be re-used under a Creative Commons license, and all royalties from sales of the book will be donated to The Carpentries, an organization that teaches foundational coding and data science skills to researchers worldwide.