MASH : Maths and Stats Help

In the fourth edition of this lively and engaging textbook, Alan Bryman presents students with an updated and all-encompassing guide to the principle techniques and methodology in the field of Social Research.
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Thoroughly revised and expanded, this new edition of Understanding Research for Social Policy and Social Work shows readers the importance of research, how to interpret it, and how to effectively carry out and report research of their own. This landmark textbook  is an essential guide to the methods, approaches, and debates that are required knowledge for students, policymakers, and practitioners.
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This is a comprehensive guide to research methods in health. It describes the range of methods that can be used to study and evaluate health and health care.
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This accessible and clearly written textbook provides a comprehensive and in-depth treatment of philosophical, methodological and ethical aspects of conducting business and management research. Illustrative case studies drawing on published research studies are used throughout and readers are given multiple opportunities to consolidate their learning through review and discussion questions, quizzes, and other exercises.
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The careful design of experiments lies at the core of good research. Experimental Design for the Life Sciences equips you with the skills you need to effectively design experiments, making this essential aspect of the research process readily understandable.
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Research Methods in Psychology has coverage of the research methods that psychology students at intermediate levels need to muster, the textbook has now been broadened to cover the full suite of beginner level research methods too.
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Introduction to Research Methods contains everything from developing an initial idea into a proposal, through to analysing data and reporting results
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In the new edition of Introduction to Social Research, Keith Punch takes a fresh look at the entire research process, from formulating a research question to writing up your research. Covering qualitative, quantitative and mixed methods, the book focuses on matching research questions to appropriate methods.
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This book provides beginner researchers with the tools to do the job, to help them avoidsome of the pitfalls and time-wasting false trails,and to establish good research habits. It takes researchers from the stage of choosing a topic through to the production of a well-planned,methodologically sound, and well-written final report or thesis on time. It is written in plain English and makes no assumptions about previous knowledge.
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Research Methodology: A Step by Step Guide for Beginners has been written specifically for those with no previous experience of research or research methodology. Written in a logical and accessible style and providing helpful techniques and examples, it breaks the process of designing and doing a research project into eight manageable operational steps.
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The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
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From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities.
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This best-selling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions, key elements of the research process, a review of the literature, an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry.
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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.

Highly praised for its clear, straightforward approach, Statistics without Maths for Psychology 7th edition provides a comprehensive and accessible introduction to statistics and SPSS. This widely used and trusted textbook is packed with examples, activities and questions to help you to test your learning and deepen your understanding in a practical and manageable way.
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Research Methods for Sports Studies is a comprehensive, engaging and practical textbook that provides a complete grounding in both qualitative and quantitative research methods.
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Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is useful for both quantitative and qualitative methods in computer science.
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Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science.
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Quantitative Methods for Business provides a simple and practical introduction to an area that students can find difficult. The book takes a non-threatening approach to the subject, avoiding excessive mathematics and abstract theory. It shows how to apply quantitative ideas to the real problems faced by managers.
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Designing a study and writing up a research proposal takes time---often more time than actually conducting the study! This practical guide will save you time and frustration by walking you through every step of the process. For starters, it will help you hone in on a research topic - a huge (and hugely important) first step. Then it will guide you in developing the research question, designing the study, and choosing the best strategies for sampling and measurement.
Avalible as both a physical book and ebook

Comprehensive, clear, and practical, Introduction to Research Methods in Psychology is the essential student guide to understanding and undertaking quantitative and qualitative research in psychology. This is the ideal guide for students just beginning and those moving on to more advanced research methods projects in psychology.
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Understanding Statistics in Psychology with SPSS 7th edition, offers students a trusted, straightforward, and engaging way of learning how to carry out statistical analyses and use SPSS with confidence. Comprehensive and practical, the text is organised by short, accessible chapters, making it the ideal text for undergraduate psychology students needing to get to grips with Statistics in class or independently.
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This thoroughly updated and extended eighth edition of the long-running bestseller Research Methods in Education covers the whole range of methods employed by educational research at all stages. Its five main parts cover: the context of educational research; research design; methodologies for educational research; methods of data collection; and data analysis and reporting. It continues to be the go-to text for students, academics and researchers who are undertaking, understanding and using educational research.
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This work will be of immense value to those who are undertaking a significant post-graduate research study in Education. The array of impressive contributors writes in an accessible and clear manner, and brings the attention of the reader to both technical and conceptual terms. This straightforward and jargon-free book will provide students with the theoretical understandings, practical knowledge and skills they need to carry out independent research.
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Numerical ability is an essential skill for everyone studying thebiological sciences but many students are frightened by the 'perceived' difficulty of mathematics, and are nervous about applying mathematical skills in their chosen field of study. Having taught introductory maths and statistics for many years, Alan Cannunderstands these challenges and just how invaluable an accessible,confidence building textbook could be to the fearful student.
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Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology, from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up theirfindings, all in a friendly and accessible way.
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Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website (www.afhayes.com) provides data for all the examples, plus the free PROCESS download.   New to This Edition *Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS. *Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. *Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. *Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. *Introduction of a bootstrap-based Johnson-Neyman-like approach for probing moderation of mediation in a conditional process model. *Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature.