Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion. Authorised by Deputy Vice-Chancellor (Research) We will talk through examples of all analysis types and will demonstrate how to carry them out in R. Equal emphasis will also be put on interpreting the output of these analyses. If you are interested in joining a growing organisation and running a high-tech, high-quality training and consulting business. The goal is to understand the role of mathematics in the research and development of … There will be plenty of practical work in the course. "Was an appropriate sample size determined a priori?". In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...). This training contains around 30% of lectures, 70% of guided quizzes and labs. You will also need administrator rights to install software needed for the course onto your computer. UNSW CRICOS Provider Code: 00098G ABN: 57 195 873 179, Mon, 24/08/2020 - 09:00 to Thu, 27/08/2020 - 13:00, Online Short Course: Introductory Statistics for Researchers, https://www.eventbrite.com.au/e/online-short-course-introductory-statistics-for…, Member Global Alliance of Technological Universities, Member Association of Pacific Rim Universities, ARTU - Aggregate Ranking of Top Universities, Full Time and Part Time Enrolment Changes, Graduation Research Information System (GRIS), Postgraduate Research Coordinators and Associate Deans (Research Training), Contemporary Humanities and Creative Arts, Next Generation Materials and Technologies, Social Policy, Government and Health Policy, Water, Climate, Environment and Sustainability, UNSW Research Integrity Policies and Procedures. This course can be delivered as a blended course i.e. 35 hours (usually 5 days including breaks). Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. Certification jointly awarded by. This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. How does one decide which statistical procedure is the most appropriate? Solid understanding of descriptive statistics (mean, average, standard deviation, variance) and basic understanding of probability is required. 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It is helpful if you have done an undergraduate statistics subject, although this course can serve as a first introduction or a refresher. Participants would benefit from the course because understanding basic research methodology and statistics is essential prior to taking up any research … with homework and assignments. This course is designed as an introduction to statistical analysis for researchers. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research … Reviewers are often specific about what statistical measures they want included. Statistics is often used to reinforce a research point or subject. There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. We respect the privacy of your email address. 4 pts. It covers some probability and statistical methods, mainly through examples. The course is divided into 11 broad sections, which include 59 lectures and 21 quizzes. In this course, we use the free statistical program R, although researchers may have another statistical package available to them. This course is designed to help you, the researcher. Research is an unavoidable aspect of engagement for academia. What do all the sections of the output mean? Description: An introduction to the techniques of research employed in the study of human behavior.Students gain experience in the conduct of research… This course is designed as an introduction to statistical analysis for researchers. Enroll Now Download brochure. In the case of public courses, mixed examples are used. We are looking to expand our presence in Indonesia! Statistics for Researchers Course; Statistics for Researchers Course. P.Lindemann.. NobleProg® is a registered trade mark of NobleProg Limited and/or its affiliates. You will receive a certificate of completion for the course. Prerequisite: PSYC UN1001, and a statistics course (PSYC UN1610 or the equivalent), or the instructor's permission.. It's lovely that the course includes the basics of statistics in the very beginning. "Why wasn't Fisher's Exact Test used?" In many disciplines, researchers wishing to publish are asked to provide a rigorous statistical analysis. There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. A range of statistical analyses will be discussed in the course, as described in the course outline below. We will not pass on or sell your address to others.You can always change your preferences or unsubscribe completely. Course Requirement: You will need to use a computer during the course. Basic proficiency in using the R statistical package is essential. You will need basic R proficiency to carry out the practical work; we will teach only the additional R commands needed for these analyses. Upto 3 Days (Customisable as per requirements) Program Overview. Statistical analyses require specialised software to perform calculations. You may want to participate in preparation course: Statistics Level 1. Classroom Course . For a person like me who is learning statistics for the very first time, it becomes easy to get acquainted with the concepts which become the base for the later stages of the course… It covers some probability and statistical methods, mainly through examples. This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines. This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines. UNSW Sydney NSW 2052 Australia Telephone +61 2 93851000 The theory behind the statistical procedures outlined in the course will, in general, not be discussed. This training contains around 30% of lectures, 70% of guided quizzes and labs.
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