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Research Design and Statistical Analysis
by Jerome L. Myers Arnold D. Well Caren M. Rotello Robert F. Lorch, Jr.This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.Key features include: Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses. Detailed instructions on performing analysis using both R and SPSS. Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals. Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.
Research Design and Statistical Analysis: Third Edition (Inquiry And Pedagogy Across Diverse Contexts Ser.)
by Jerome L. Myers Arnold D. Well Robert F. Lorch JrResearch Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.
Research Design: Qualitative, Quantitative, And Mixed Methods Approaches (Fourth Edition)
by John W. CreswellThe eagerly anticipated Fourth Edition of the title that pioneered the comparison of qualitative, quantitative, and mixed methods research design is here! For all three approaches, Creswell includes a preliminary consideration of philosophical assumptions, a review of the literature, an assessment of the use of theory in research approaches, and reflections about the importance of writing and ethics in scholarly inquiry. He also presents the key elements of the research process, giving specific attention to each approach. The Fourth Edition includes extensively revised mixed methods coverage, increased coverage of ethical issues in research, and an expanded emphasis on worldview perspectives.
Research Design: Qualitative, Quantitative, and Mixed Methods Approaches
by John W. CreswellThe Bestselling Text is Completely Updated and Better than Ever Praise for the Third Edition I have used the older edition with great success. The new one is even better. -Kathleen Duncan, "University of La Verne" The Third Edition of the bestselling text Research Design by John W. Creswell enables readers to compare three approaches to research-qualitative, quantitative, and mixed methods-in a single research methods text. The book presents these three approaches side by side within the context of the process of research from the beginning steps of philosophical assumptions to the writing and presenting of research. Written in a user-friendly manner, Creswells text does not rely on technical jargon. He cuts to the core of what a reader needs to know to read and design research in part by showcasing ideas in a scaffold approach so that the reader understands ideas from the simple to the complex. Key updates to the Third Edition Presents the preliminary steps of using philosophical assumptions in the beginning of the book Provides an expanded discussion on ethical issues Emphasizes new Web-based technologies for literature searches Offers updated information about mixed methods research procedures Contains a glossary of terms Highlights research tips throughout the chapters incorporating the author s experiences over the last 35 years.
Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Fourth Edition)
by John W. CreswellThe eagerly anticipated Fourth Edition of the title that pioneered the comparison of qualitative, quantitative, and mixed methods research design is here! For all three approaches, Creswell includes a preliminary consideration of philosophical assumptions, a review of the literature, an assessment of the use of theory in research approaches, and refl ections about the importance of writing and ethics in scholarly inquiry. He also presents the key elements of the research process, giving specifi c attention to each approach. The Fourth Edition includes extensively revised mixed methods coverage, increased coverage of ethical issues in research, and an expanded emphasis on worldview perspectives.
Research Directions in Number Theory: Women in Numbers IV (Association for Women in Mathematics Series #19)
by Jennifer S. Balakrishnan Amanda Folsom Matilde Lalín Michelle ManesThese proceedings collect several number theory articles, most of which were written in connection to the workshop WIN4: Women in Numbers, held in August 2017, at the Banff International Research Station (BIRS) in Banff, Alberta, Canada. It collects papers disseminating research outcomes from collaborations initiated during the workshop as well as other original research contributions involving participants of the WIN workshops. The workshop and this volume are part of the WIN network, aimed at highlighting the research of women and gender minorities in number theory as well as increasing their participation and boosting their potential collaborations in number theory and related fields.
Research Directions in Number Theory: Women in Numbers V (Association for Women in Mathematics Series #33)
by Alina Bucur Wei Ho Renate ScheidlerThis is the fifth proceedings volume published under the Women in Numbers umbrella. The WIN workshops and their proceedings volumes are part of the WIN network, aimed at highlighting the research of women and gender minorities in number theory as well as increasing their participation and boosting their potential collaborations in number theory and related fields.The volume contains research articles in the mathematical area of number theory, written by teams of scholars at all levels in the field. More information about the network, its goals and purpose, past and future conferences, and past proceedings volumes, can be found on the WIN website.This volume contains research outcomes and results produced by the collaborative research groups created under the Women in Numbers V workshop, the 5th in its series. The actual workshop was to take place in 2020 at the Banff International Research Station in Banff, Canada, but could not take place onsite due to COVID. The associated research groups, each consisting of 1-2 leaders and 2-4 junior researchers, were formed nevertheless and their collaborations went ahead in purely virtual form, as well as other papers by author teams for which at least 50% of the authors identify as women or gender minorities. These contributions include original research and survey articles in a wide variety of subareas within number theory. The former present new cutting-edge research that will be of interest to experts in the field, to the benefit of their own research. The survey articles serve as an accessible introduction for graduate students and other readers to areas of number theory that may be outside their area of expertise.
Research Guide to the Russian and Soviet Censuses (Studies in Soviet History and Society)
Taken together, the Russian census of 1897 and the Soviet censuses of 1926, 1959, 1970, and 1979 constitute the largest collection of empirical data available on that country, but until the publication of this book in 1986, the daunting complexity of that material prevented Western scholars from exploiting the censuses fully. This book is both a guide to the use of and a detailed index to these censuses. The first part of the book consists of eight essays by specialist on the USSR, six of them dealing with the use of census materials and the availability of data for research on ethnicity and language, marriage and the family, education and literacy, migration and organization, age structure, and occupations. The second part, a comprehensive index for all the published census, presents more than six hundred annotated entries for the census tables, a keyword index that enables researchers to find census data by subject, and a list of political-administrative units covered in each census.
Research Issues in the Learning and Teaching of Algebra: the Research Agenda for Mathematics Education, Volume 4 (Research Agenda for Mathematics Education Series #Vol. 4)
by Carolyn Kieran Sigrid WagnerFirst Published in 1989. Routledge is an imprint of Taylor & Francis, an informa company.
Research Methodology: A Practical and Scientific Approach
by Vinayak Bairagi Mousami V. MunotThis book offers a design research methodology intended to improve the quality of design research- its academic credibility, industrial significance and societal contribution by enabling more thorough, efficient and effective procedures.
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research
by Herman AguinisResearch Methodology: Best Practices for Rigorous, Credible, and Impactful Research takes a 360-degree view of understanding and doing research, helping readers become expert researchers, reviewers, and consumers of research. Renowned author, journal editor, and researcher Herman Aguinis distills the vast body of work on methodological best practices into a singular experience. Each of the 16 chapters thoroughly explains a different aspect of methodology step by step, from choosing useful and compelling research topics to reporting results accurately and credibly. Researchers at all career stages will find this text helpful to structure and conduct high-impact empirical research aimed at producing a thesis, dissertation, or journal publication. Research consumers will find instruction on how to evaluate the rigor and credibility of research conducted by others. Instructors will find the book’s modular approach refreshing by assigning students the most relevant topics—from checklists of best practices to an in-depth treatment of a methodology. Filled with "how-to’s" and "dos and don’ts", figures, hands-on exercises, and "Methods in Practice" boxes that summarize and apply best practices, this book is a must-have for anyone interested in producing or reading research. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more.
Research Methodology: Best Practices for Rigorous, Credible, and Impactful Research
by Herman AguinisResearch Methodology: Best Practices for Rigorous, Credible, and Impactful Research takes a 360-degree view of understanding and doing research, helping readers become expert researchers, reviewers, and consumers of research. Renowned author, journal editor, and researcher Herman Aguinis distills the vast body of work on methodological best practices into a singular experience. Each of the 16 chapters thoroughly explains a different aspect of methodology step by step, from choosing useful and compelling research topics to reporting results accurately and credibly. Researchers at all career stages will find this text helpful to structure and conduct high-impact empirical research aimed at producing a thesis, dissertation, or journal publication. Research consumers will find instruction on how to evaluate the rigor and credibility of research conducted by others. Instructors will find the book’s modular approach refreshing by assigning students the most relevant topics—from checklists of best practices to an in-depth treatment of a methodology. Filled with "how-to’s" and "dos and don’ts", figures, hands-on exercises, and "Methods in Practice" boxes that summarize and apply best practices, this book is a must-have for anyone interested in producing or reading research. Included with this title: LMS Cartridge: Import this title’s instructor resources into your school’s learning management system (LMS) and save time. Don’t use an LMS? You can still access all of the same online resources for this title via the password-protected Instructor Resource Site. Learn more.
Research Methodology: Techniques and Trends
by D P Kothari Umesh Kumar DubeyResearch Methodology: Techniques and Trends focuses on both undergraduate and post graduate courses; and it helps readers understand the basic concepts and the application of results directly to real life business, industry and research organizations. Features: Review questions are included at the end of each chapter, to test conceptual understanding of the subject and put theory into practice, which help in the understanding of key concepts and ideas. In-depth coverage of concepts and techniques. Tables and figures are presented to illustrate the concepts and techniques. Provides students with essential guidance on how to carry out their own research projects. Covers a wide range of research methods, approaches to research, and ways of carrying out analysis of data. This is a textbook on research methodology for doctoral and post-doctoral programs; post graduate courses such as MSc, MBA, MCA, MS, etc., to name a few. Though the book is primarily addressed to students, it is equally useful to researchers and entrepreneurs as well.
Research Methods In Psychology: A Handbook
by Wendy A. SchweigertPerfect as a main text or as a supplement, this versatile handbook is ideal for psychology courses devoted specifically to research methods as well as for more general psychology courses with a research component. Each chapter independently covers a commonly used research method, giving instructors the flexibility to assign chapters in a way that meets the needs of their own classes. Chapter outlines, concept questions and exercises (along with a selected set of answers), lists of important terms and concepts, and written explanations of basic statistical techniques supplemented with illustrative statistical tables are among the book's many outstanding features. Basic guidelines of how to write, format, and publish results demonstrate an astute, hands-on approach to conducting research in psychology.
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.