The book guides you through every step of your research project, from getting started to analysing data and writing up. Each stage is clearly set out, highlighting best practice and providing practical tips and down-to-earth advice for actually doing research. Key features include: Fully developed companion website including podcasts, worksheets, examples of real projects and links to journal articles Chapter summaries Boxed definitions of key terms Full glossary Suggestions for further readingnbsp;nbsp; Bursting with real world examples and multidisciplinary case studies, this book addresses the key questions posed by anyone hoping to complete a research project.
It is the must-have textbook every student needs. Call Number: Q M4 O55 Research Ethics for Scientists by C. Neal Stewart Research Ethics for Scientists is about best practices in all the major areas of research management and practice that are common to scientific researchers, especially those in academia.
Aimed towards the younger scientist, the book critically examines the key areas that continue to plague even experienced and well-meaning science professionals. For ease of use, the book is arranged in functional themes and units that every scientist recognizes as crucial for sustained success in science; ideas, people, data, publications and funding.
These key themes will help to highlight the elements of successful and ethical research as well as challenging the reader to develop their own ideas of how to conduct themselves within their work. Tackles the ethical issues of being a scientist rather than the ethical questions raised by science itself Case studies used for a practical approach Written by an experienced researcher and PhD mentor Accessible, user-friendly advice Indispensible companion for students and young scientists ISBN: Perfect for aspiring as well as practicing professionals in the medical and biological sciences, this publication discusses a broad range of topics that are common yet not traditionally considered part of formal curricula, including philosophy of science, ethics, statistics, and grant applications.
The information presented in this book also facilitates communication across conventional disciplinary boundaries, in line with the increasingly multidisciplinary nature of modern research projects. Covers the breadth of topics that a researcher must understand in order to be a successful experimental scientist Provides a broad scientific perspective that is perfect for students with various professional backgrounds Contains easily accessible, concise material about diverse methods Includes extensive online resources such as further reading suggestions, data files, statistical tables, and the StaTable application package Emphasizes the ethics and statistics of medical and biological sciences ISBN: Research Methodology: A Step by Step Guide for Beginners by Ranjit Kumar Written specifically for students with no previous experience of research and research methodology, the Third Edition of Research Methodology breaks the process of designing and doing a research project into eight manageable steps and provides plenty of examples throughout to link theory to the practice of doing research.
The book contains straightforward, practical guidance on: - Formulating a research question - Ethical considerations - Carrying out a literature review - Choosing a research design - Selecting a sample - Collecting and analysing qualitative and quantitative data - Writing a research report The third edition has been revised and updated to include extended coverage of qualitative research methods in addition to the existing comprehensive coverage of quantitative methods.
There are also brand new learning features such as reflective questions throughout the text to help students consolidate their knowledge. The book is essential reading for undergraduate and postgraduate students in the social sciences embarking on qualitative or quantitative research projects. M4 K86 H65 Writing Research Proposals in the Health Sciences by Zevia Schneider; Jeffrey Fuller This is your step-by-step guide on how to write successful research proposals in the health sciences, whether it is for a thesis or dissertation review committee, an ethical review committee or a grant funding committee.
Using quantitative, qualitative, and mixed research approaches, follow the journey of Liang and Natasha, two fictional researchers who will help you complete your proposal alongside reading the chapters.
This practical guide includes top tips from the authors, read-reflect-respond activities and examples of project plans to equip you with all the tools you need to succeed with your research proposal.
Call Number: R P75S36 Keough; Gerry P. Quinn An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data.
The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models for factorial, nested, block, split-plot and repeated measures and covariance designs , and log-linear models.
Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature.
The book is supported by a website that provides all data sets, questions for each chapter and links to software. ISBN: Experimental Design for Biologists by David J. Glass The effective design and analysis of experiments in biology are critical to success, yet graduate students in biological and medical sciences typically receive very little formal training in these steps.
With feedback from readers of the first edition, colleagues, and students taking the very popular experimental design courses taught by the author, this second edition of Experimental Design for Biologists retains the engaging writing style while organizing the book around the four elements of experimental design: the framework, the system, the experiment, and the model.
The goal of every scientist is to discover something new and with the aid of Experimental Design for Biologists, this task is made a little easier. This handbook explains how to establish the framework for an experimental project, how to set up all of the components of an experimental system, design experiments within that system, determine and use the correct set of controls, and formulate models to test the veracity and resiliency of the data.
This thoroughly updated edition of Experimental Design for Biologists is an essential source of theory and practical guidance for designing a research plan. Call Number: QH G Lazic Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results.
With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing.
It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website www. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in either academia or industry. L R88 You cannot be a scientist without an understanding of data and design.
This subject introduces you to fundamental concepts in data science for biology, with emphasis on modern statistical methods.
Drawing on real biological problems and datasets, as well as drawing on data collected by the class, the lectures cover foundational concepts in experimental design and statistical modelling. The subject emphasises hands-on problem solving. As well as a solid grounding in statistical methodology, you will also develop practical skills, developing your capacity to design experiments, collect data, and analyse those data using the R statistical environment.
The subject builds upon generic skills developed in first year level subjects, including the ability to critically assess and assimilate new knowledge. Students will also learn how to:. Undergraduate subjects Graduate subjects Research subjects. Find out what you need to do and when. Please refer to the return to campus page for more information, including Second Half Year delivery mode updates.
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