ABout NVivo
Nvivo is a qualitative data analysis computer software package produced by Lumivero. It is not a free software. Unitec has acquired several licenses for staff and postgraduate students. NVivo works with both Window and MAC.
Some of its features include:
Click here for more information about NVivo.
Installing NVivo
Need further help?
Please contact the Research Office if you need further help at research@unitec.ac.nz
About R
R is a programming language and free software environment for statistical computing and graphics. It compiles and runs on UNIX platforms, Windows and Mac Operating System.
Interestingly, R was created by Ross Ihaka and Robert Gentleman at the University of Auckland. It is named after the first names of its creator.
Installing/downloading R
You need both R and R-Studio to be installed into your computer in order to to run R programming language. The links for installation are:
Need help?
Please contact Arun Deo adeo@unitec.ac.nz from the Research Office if you need further help.
Unitec Library have limited resources on Nvivo. Some of them are listed below:
Qualitative Data Analysis with Nvivo by
Patricia Bazeley's book is accessible, easy-to-understand and very practical. Using worked examples throughout she guides the reader on how best to incorporate the latest version of NVivo into evry stage of the research process.
The NVivo qualitative project bookJoin free webinars on NVivo and other tools as well as research related webinars organised by Lumivero here.
There are more than 70 titles on R programming language at Unitec Library, mostly are electronic books - see here
Selected books/ebooks are listed below:
Statistics for People Who (Think They) Hate Statistics Using R by
Neil J. Salkind's bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind's signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.
Understanding and Applying Basic Statistical Methods Using R by
Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox' Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.
Visual Linguistics with R by
This book is a textbook on R, a programming language and environment for statistical analysis and visualization. Its primary aim is to introduce R as a research instrument in quantitative Interactional Linguistics. Focusing on visualization in R, the book presents original case studies on conversational talk-in-interaction based on corpus data and explains in good detail how key graphs in the case studies were programmed in R. It also includes task sections to enable readers to conduct their own research and compute their own visualizations in R. Both the code underlying the key graphs in the case studies and the datasets used in the case studies as well as in the task sections are made available on the book's companion website.
Other resources: