This textbook will help graduate students in non-statistics disciplines, advanced undergraduate researchers, and research faculty in the health sciences to learn, use and communicate results from many commonly used statistical methods. The material covered, and the manner in which it is presented, describe the entire data analysis process from hypothesis generation to writing the results in a manuscript. Chapters cover, among other topics: one and two-sample proportions, multi-category data, one and two-sample means, analysis of variance, and regression. Throughout the text, the authors explain statistical procedures and concepts using a non-statistical language. This accessible approach is complete with real-world examples and sample write-ups for the Methods and Results sections of scholarly papers. The text also allows for the concurrent use of the programming language R, which is an open-source program created, maintained and updated by the statistical community. R is freely available and easy to download.
Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand andapply procedural steps in completing quantitative studies. Itexplains statistics while progressing through the steps of thehypothesis-testing process from hypothesis to results. The researchproblems used in the book reflect statistical applications relatedto interesting and important topics. In addition, the book providesa Research Analysis and Interpretation Guide to help studentsanalyze research articles. Designed as a hands-on resource, each chapter covers a singleresearch problem and offers directions for implementing theresearch method from start to finish. Readers will learn howto: Pinpoint research questions and hypotheses Identify, classify, and operationally define the studyvariables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students toimmediately, independently, and successfully apply quantitativemethods to their own research projects.
Publisher: Macmillan International Higher Education
Whether it's designing a study, conducting an experiment, or analyzing the results, research methods are an integral part of Psychology. In this student-friendly introduction, Walker covers the different types of study, quantitative data, statistics and ethics. This book is the perfect tool to help build students' confidence in this vital area.
This book has been written to meet several needs. Firstly there is a need for a book which integrates statistics, research design, ex periments and report writing so that none is learned in a vacuum, as commonly is the case, isolated from the others. The aim is to make the student an active learner encouraged to carry out experiments, so ex periencing and understanding the design problems and statistical analyses in the practical context where he can see exactly what he is doing and why. The aim is that by the end of the book, the student should be able to evaluate the research of others, to define a problem, formulate a hypothesis about it, design and carry out the experiment, apply the correct statistics, discuss the results and implications, and write it all up in a logical and sensible fashion. The principle is that old pedagogic one of learning by doing. Secondly, there is a need for an introductory text on statistics, research design and experimental work for the many students who meet psychology and social science for the first time. The initiate in behavioural science needs to gain a conceptual understanding of statistical procedures and design techniques in order to carry out his own investigations and to understand and evaluate constructively the investigations of others. However, experience has shown us that many students (and even some fellow teachers) are somewhat reluctant to study this area as they believe it is difficult and involves mathematics.
Ideal as a companion to a statistics or research methods text or as a stand-alone guide, Using SPSS for Social Statistics and Research Methods shows readers how to use images and directions drawn from SPSS Version 18.0 and now uses the latest version of the GSS (General Social Survey) as a secondary data set. This supplementary text is designed as a manual for SPSS use for social statistics and research methods classes and is an excellent companion to any undergraduate statistics or research methods textbook. It will also serve as a useful reference for those learning to use the SPSS software for the first time. Features and Benefits: • Offers a fully updated graphics chapter that highlights new features available in SPSS 18.0, including information on alternative routes to creating graphics • Includes updated examples, screenshots and tables throughout • Expanded coverage of output interpretation • Refers to several kinds of computer files, including data files, output files and syntax files • Covers a wide range of data analysis topics to help students who are working independently on a research proposal, project or paper.
Available for bundling with Rao's text, this unique companion shows in great detail how to use SAS to do the statistics described in the text. Written specifically to complement and enhance the SAS material in the book, the SAS Companion uses the same examples used in the text, providing instructions and output for all textual examples. The SAS Companion is an essential tool and a handy reference for students as they work through the books' computing assignments.
Research Methods and Statistics in Psychology introduces the principal research methods and statistical procedures that underpin psychological research. With a broad range of support materials and features it is the ideal textbook to accompany both a first and second year course.
RESEARCH 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
The first all-inclusive introduction to modern statistical research methods in the natural resource sciences The use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems. However, many important contemporary methods of applied statistics, such as generalized linear modeling, mixed-effects modeling, and Bayesian statistical analysis and inference, remain relatively unknown among researchers and practitioners in this field. Through its inclusive, hands-on treatment of real-world examples, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists successfully introduces the key concepts of statistical analysis and inference with an accessible, easy-to-follow approach. The book provides case studies illustrating common problems that exist in the natural resource sciences and presents the statistical knowledge and tools needed for a modern treatment of these issues. Subsequent chapter coverage features: An introduction to the fundamental concepts of Bayesian statistical analysis, including its historical background, conjugate solutions, Bayesian hypothesis testing and decision-making, and Markov Chain Monte Carlo solutions The relevant advantages of using Bayesian statistical analysis, rather than the traditional frequentist approach, to address research problems Two alternative strategies—the a posteriori model selection strategy and the a priori parsimonious model selection strategy using AIC and DIC—to model selection and inference The ideas of generalized linear modeling (GLM), focusing on the most popular GLM of logistic regression An introduction to mixed-effects modeling in S-Plus® and R for analyzing natural resource data sets with varying error structures and dependencies Each statistical concept is accompanied by an illustration of its frequentist application in S-Plus® or R as well as its Bayesian application in WinBUGS. Brief introductions to these software packages are also provided to help the reader fully understand the concepts of the statistical methods that are presented throughout the book. Assuming only a minimal background in introductory statistics, Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists is an ideal text for natural resource students studying statistical research methods at the upper-undergraduate or graduate level and also serves as a valuable problem-solving guide for natural resource scientists across a broad range of disciplines, including biology, wildlife management, forestry management, fisheries management, and the environmental sciences.
Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently
This volume presents a collection of articles selected from Teaching of Psychology, sponsored by APA Division 2. It contains the collective experience of teachers who have successfully dealt with students' statistics anxiety, resistance to conducting literature reviews, and related problems. For those who teach statistics or research methods courses to undergraduate or graduate students in psychology, education, and the social sciences, this book provides many innovative strategies for teaching a variety of methodological concepts and procedures in statistics and research methods courses.
Summary: "Research Methods and Statistics for Business ... includes 30 research designs and 30 bivariate and multivariate statistical tests, taking students through a step-by-step process to select the appropriate statistical method. The authorʼs approach effectively integrates research and statistics, beginning with research methodology and then guiding students through the process of conducting their own statistical research, from the initial process of selecting the research topic through the finished research paper."--Waveland website, viewed 10th June, 2011.
This 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.
Facts101 is your complete guide to Basic Biostatistics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
An Introduction to Research Methodology and Statistics
Author: Dr S Alexander Haslam,S. Alexander Haslam Craig McGarty,Dr Craig McGarty
Doing Psychology ... challenges the reader to become active in the development and understanding of psychological research and to be critical in its application. " "Academics will find the text would easily complement the structure of an introductory course. Overall this book is written clearly and concisely, adopting a conversational tone, and utilizes a structure that students can easily follow without the techniques and concepts being oversimplified. " "Doing Psychology is certainly a text well worth considering in introductory courses, or as a refresher text for those who need to revise key techniques. The text would provide students with a good foundation for advanced design and statistics courses' - "Australian Psychologist " Doing Psychology is a sound text with clear and accurate explanations in areas which it covers' - "South African Journal of Psychology " This textbook provides a clear introduction to the principal research methods and statistical procedures that underpin psychological research. The authors build a carefully integrated understanding of the research process from the ground up, and address the many challenges confronting students of psychology - issues surrounding, among other things, research goals, methodological choices and strategy, multiple approaches to statistical inference and ethical controversies. Using words and diagrams rather than numbers and equations, Doing Psychology offers a highly readable guide to how to design, analyze and evaluate experiments and surveys in psychological research. An Instructor's Manual is available upon request.
Research Methods and Statistics: An Integrated Approach by Janie H. Wilson and Shauna W. Joye 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.
This fifth edition of Research Methods and Statistics in Psychology has been revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. The book assumes no prior knowledge, taking you through every stage of your research project in manageable steps. Advice on planning and conducting studies, analysing data and writing up practical reports is given, and examples provided, as well as advice on how to report results in conventional (APA) style. Unlike other introductory texts, there is discussion of commonly misunderstood concepts such as ecological validity, the null hypothesis and the role of cross-cultural psychology studies. Qualitative research is included in the central research methods chapters as well as being highlighted in specialist chapters which cover content analysis, grounded theory, interpretative phenomenological analysis (IPA), narrative analysis, discourse analysis and how to tackle a qualitative research project. The book provides clear coverage of statistical procedures, and includes everything needed at undergraduate level from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. In addition, the book provides detailed and illustrated SPSS instructions (updated to version 16) for all statistical procedures, including data entry and interpreting output, thus eliminating the need for an extra SPSS textbook. 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. The bestselling research methods text for almost two decades, Research Methods and Statistics in Psychology remains an invaluable resource for students of psychology throughout their studies.
It is commonly recognized that the basis of science stems from the intersection of theory, research methods, and statistics. Criminology and Criminal Justice: Theory, Research Methods, and Statistics is designed to help readers understand the integrated relationship between these critical topics in the field of Criminal Justice. Each chapter pertains to a particular criminological theory, relevant qualitative and quantitative research methodologies, and various statistical techniques used to analyze data. This accessible text illustrates how theory, methods, and statistics play an active role in ensuing careers in law enforcement, corrections, law, and more.
Research methods and statistics are central to the development of professional competence and evidence based psychological practice. (Noun, masculine) research on the development of psychological literacy. Despite this, many psychology students express little interest in, and in some cases of active dislike of, learning research methods and statistics. This ebook brings together current research, innovative evidence-based practice, and critical discourse.