To ensure that you use the program that is most appropriate for your research, it is recommended that you ask your lecturer or supervisor and explore the literature available. Considerations may include:
See also:
The Statistical Consulting Centre at the University of Melbourne provides a range of services to members of the academic community. The Melbourne Statistical Consulting Platform allows eligible post-graduate students 10 free hours of statistical consulting.
The Statistical Consulting Centre offers advice, statistical consulting and data analysis to staff and postgraduate students within the University and others outside the University.
MyUniApps provides University of Melbourne staff and students with easy, online access to a broad range of software packages. The following applications are currently available to all students: AMOS, ArcGIS Desktop, EndNote*, GIMP, iMindQ, Mathematica, MATLAB*, Minitab, Notepad++, NVIVO*, Office Professional Plus 2013, R, Rstudio, Sample Power, SAS, SPSS. Further apps are available to students based on their area of study.
For the most up-to-date information, please check the list of apps available in "Applications" section of the FAQs.
A number of statistical packages are included in the University of Melbourne site license program. A site license will offer university departments products which are centrally funded and can be deployed on University assets at no additional cost. Please see the licensing availability information listed in this guide. For other programs, search the IT Knowledge Base (staff only).
Software that is not available in a site license, are available through bulk purchase programs. This offers departments, affiliated institutions and respective staff and students a way to purchase centrally-managed low cost software.
Information about bulk purchase programs
For further advice and support, call the IT service desk on 8344 0888
30 Essential Skills for the Qualitative Researcher by
30 Essential Skills for the Qualitative Researcher fills a gap in introductory literature on qualitative inquiry by providing practical "how-to" information for beginning researchers in the social, behavioral, and health sciences. Creswell defines what a skill is, and acknowledges that while there may be more than 30 that an individual will use and perfect, the skills presented in this book are crucial for a new qualitative researcher starting a qualitative project.
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A proven bestseller, ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 9th Edition gives you straightforward instruction, unrivaled accuracy, built-in learning aids, and plenty of real-world examples to help you understand statistical concepts. The authors take time to fully explain statistical procedures so that you can go beyond memorizing formulas and begin gaining a conceptual understanding of statistics. They also take care to show you how having an understanding of statistical procedures will help you comprehend published findings -- ultimately leading you to become a savvy consumer of information. In addition, a complete supplements package -- including the MindTap digital learning experience -- helps you maximize your course success.
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See how interesting experimental and nonexperimental research can be with RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 6th Edition. Inviting and conversational, the text leads you through the research process from start to finish -- using a step-by-step approach that emphasizes the decisions researchers make at each stage. Current research examples are selected to be of particular interest to students like you, and learning objectives help you focus on what's important. Chapter after chapter, the authors' "lecture in a book" style delivers clear explanations of topics that make this text easy to read and understand.
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With the many advances in the control of infectious disease over the last 100 years, the role of Epidemiology in Public Health has transformed significantly. Epidemiologic research now includes the study of acute and chronic disease, as well as the events, behaviors, and conditions associated with health.From seasoned author, Ray Merrill, this text explores how epidemiologic methods are conducted and interpreted. In four sections, Methods in Epidemiologic Research covers basic concepts in epidemiology and statistics, study designs, statistical techniques and applications, and special topics.
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Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.
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The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal questions that accompany the rise of new, data-driven technologies however are underexplored. This book is the first volume that seeks to map the legal implications of the emergence of data science. It discusses the possibilities and limitations imposed by the current legal framework, considers whether regulation is needed to respond to problems raised by data science, and which ethical problems occur in relation to the use of data. It also considers the emergence of Data Science and Law as a new legal discipline.
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Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book. The inclusion of code for R, SAS, and SPSS allows for easy implementation by readers. For readers interested in learning more about the languages, though, there are short tutorials in the appendix. Accompanying data sets are available for download through the book s website. Data analysis presented in each chapter will provide step-by-step instructions so these new methods can be readily applied to projects. Researchers and graduate students in Statistics, Epidemiology, and Public Health will find this book particularly useful.