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DTSTART;VALUE=DATE:20260622
DTEND;VALUE=DATE:20260627
DTSTAMP:20260921T180329
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SUMMARY:Introduction to Longitudinal Data Analysis
DESCRIPTION:Longitudinal data is essential in a number of research fields as it enables analysts to concurrently understand aggregate and individual level change in time\, the occurrence of events and improves our understanding of causality in the social sciences.  \nIn this course you will learn both how to clean longitudinal data as well as the main statistical models used to analyse it. The course will cover three fundamental frameworks for analysing longitudinal data: multilevel modelling\, structural equation modelling and event history analysis. \nThe course is organized as a mixture of lectures and hands on practicals using real world data. During the course there will also be opportunities to discuss also how to apply these models in your own research. \nObjectives: \n\nTo gain competence in the concepts\, designs and terms of longitudinal research;\nTo be able to apply a range of different methods for longitudinal data analysis;\nTo have a general understanding of how each method represents different kinds of longitudinal processes;\nTo be able to choose a design\, a plausible model and an appropriate method of analysis for a range of research questions.\n\nThe course consists of five sessions running from Monday 22 to Friday 26 June 2026. \nTopics covered by day: \n\n22.06.2026  – Data cleaning and visualization of longitudinal data\n23.06.2026 – Cross-lagged models (covering also an introduction to Structural Equation Modelling and auto-regressive models)\n24.06.2026 – Multilevel model of change (covering also an introduction to multilevel modelling)\n25.06.2026 –  Latent Growth Modelling\n26.06.2026  – Survival models (also known as event history analysis)\n\nTeaching will take place online (using Zoom) between 09:00 to 16:00 UK time. There will be 1 hour lunch break from 12:00 to 13:00. \nIMPORTANT: Please note that this course includes computer workshops. Before registering please check that you will be able to access the software noted below. Please bear in mind minimum system requirements to run software and administration restrictions imposed by your institution or employer with may block the installation of software. \nPrerequisites \n\nGood knowledge of regression modelling\nBasic knowledge of R or good programming experience with a different statistical software\n\nRecommended reading \n\nCernat\, A. (in press). Longitudinal Data Analysis using R. LeanPub.\nWickham\, H.\, & Grolemund\, G. (2016). R for data science: Import\, tidy\, transform\, visualize\, and model data (First edition). O’Reilly. (also available free online)\nSinger\, J.\, & Willett\, J. (2003). Applied longitudinal data analysis: modeling change and event occurrence. Oxford University Press.\nNewsom\, J. T. (2015). Longitudinal Structural Equation Modeling: A Comprehensive Introduction. Routledge.\n\nCost: \nThe fee per teaching day is: \n• £60 per day for students\n• £150 per day for staff working for academic institutions\, Research Councils and other recognised research institutions\, registered charity organisations and the public sector\n• £350 per day for all other participants \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. \nNCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of its cancellation of a course\, including but not limited to any travel or accommodation costs.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-longitudinal-data-analysis/
LOCATION:Online
CATEGORIES:Training
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DTSTART;VALUE=DATE:20260625
DTEND;VALUE=DATE:20260627
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SUMMARY:Qualitative Data Analysis for PhD Research
DESCRIPTION:On behalf of the programme committee\, I’m pleased to welcome you to the website of the Dutch Neuroscience Meeting 2026 (DNM 26). This meeting offers an excellent opportunity to connect and share research with scientists and clinicians across various neuroscience disciplines\, including neuroendocrinology\, psychology\, neurology and psychiatry. Our rich history can be tracked using the weblinks to the past editions of our meeting. \nWe are excited to return on June 25-26\, 2026\, to the Van der Valk Hotel in Tiel. This venue offers spacious rooms for parallel sessions\, a large hall for poster presentations\, a cosy lounge area for informal discussions\, and comfortable overnight accommodations. Given the expected high number of participants\, we strongly recommend room sharing whenever possible to ensure that as many colleagues as possible can stay on-site and fully experience the meeting atmosphere—including the not-to-be-missed evening programme. \nAs always\, the scientific and social programme is designed to foster meaningful interactions between scientists from different disciplines and institutes. At the heart of the meeting are the parallel seminar sessions\, carefully selected from your proposals\, alongside three distinguished keynote speakers. We look forward to welcoming a multidisciplinary audience of researchers and students. Our goal is to create an engaging environment that advances neuroscience research while stimulating exchanges between senior and junior scientists. \nWe invite and encourage all researchers to submit an abstract for one of the two poster sessions\, open to both established and early-career scientists\, including Master’s students. \nWe hope you will explore the outstanding programme and wholeheartedly invite you and your colleagues to attend DNM 26 on June 25-26\, 2026! \nOn behalf of the Organising Committee\, \n\nReview the Programme \nRegister
URL:https://www.dementiaresearcher.nihr.ac.uk/event/qualitative-data-analysis-for-phd-research/
LOCATION:Van der Valk Hotel\, Laan van Westroijen 10\, Tiel\, 4003 AZ\, Netherlands
CATEGORIES:Conference
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