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methods@manchester are excited to announce the return of a very popular course at this years summer school. Introduction to longitudinal data analysis using R 8 - 12 July Alexandru Cernat Course Outline Longitudinal data (data collected multiple times from the same cases) is becoming increasingly popular due to the important insights it can bring us. For example, it can be used to track how individuals change in time and what are the causes of change, it can also be used to understand causal relationships or used as part of impact evaluation. Unfortunately, traditional models such as ordinary least squares regression are not appropriate as multiple individuals are nested in different time points. For this reason specialised statistical models need to be learned. In this course you will learn the most important skills needed in order to prepare and analyse longitudinal data. We will cover statistical methods used in multiple research fields such as: economics, sociology, psychology, developmental studies, marketing and biology. At the end of the course you will be able to answer a number of different types of questions using longitudinal data: questions about causality and causal order, about changes in time and what explains it, as well as about the occurrence of events and their timing. Throughout the week we will be using a combination of lecturing and applied sessions. For the applied sessions we will be using the statistical package R. R is becoming one of the leading statistical software due to its free and open source nature. In this course you will learn how to effectively use it to answer longitudinal questions. We will cover both data management and cleaning as well as different statistical methodologies such as: regression analysis, multilevel analysis, structural equation modelling and survival analysis. Course Objectives To gain competence in the concepts, designs and terms of longitudinal research; To be able to apply a range of different methods for longitudinal data analysis; To have a general understanding of how each method represents different kinds of longitudinal processes; To be able to choose a design, a plausible model and an appropriate method of analysis for a range of research questions. Pricing: Students - £675 University of Manchester Staff - £675 Other attendees - £1,000 Bursaries Available We will be offering bursaries for the Summer School. Please contact us if you would like to apply for one, reducing the cost of attending the Summer School from £675 to £375. Please note that priority will be given to UoM Humanities students. Bursary applications may be made to [log in to unmask]<mailto:[log in to unmask]> For more information please click here<https://www.methods.manchester.ac.uk/connect/events/summer-school-2019/courses/>, or to book a place on this course please visit our estore.<https://estore.manchester.ac.uk/short-courses/faculty-of-humanities/school-of-social-sciences/methodsmanchester/methodsmanchester-summer-school-introduction-to-longitudinal-data-analysis-using-r> ######################################################################## To unsubscribe from the MECCSA-PGN list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=MECCSA-PGN&A=1