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LISTSERV Web Interface 16.52024-03-15T06:21:08ZMichael Zyphur2024-03-15T17:21:00+11:002024-03-15T17:21:00+11:00Analyzing Experimental Data in Structural Equation Models - livestream seminarhttps://www.jiscmail.ac.uk/cgi-bin/wa-jisc.exe?A2=EVIDENCE-BASED-HEALTH;eec7f485.2403Hi everyone<br><br>Instats is pleased to present a 2-day seminar on Analyzing Experimental<br>Data in Structural Equation Models<br><https://instats.org/seminar/analyzing-experimental-data-using-structural-equat-2958>,<br>running March 21 - 22, by professor Bert Weijters. This seminar provides an<br>in-depth understanding of analyzing experimental data using Path Analysis<br>and SEM in Mplus, freeing participants from the shackles of traditional<br>experimental data analysis methods, which are typically very simplistic and<br>limited. The seminar covers a broad range of topics including working with<br>experimental data for Confirmatory Factor Analysis (CFA), structural model<br>specification, interactions and mediation in SEM, and analyzing<br>longitudinal and within-subject experimental data. By the conclusion,<br>participants [...]Bristol Medical School Short Course Programme2024-03-14T14:23:03+00:002024-03-14T14:23:03+00:00Online short courses in Health Sciencehttps://www.jiscmail.ac.uk/cgi-bin/wa-jisc.exe?A2=EVIDENCE-BASED-HEALTH;a45baa00.2403*With apologies for cross posting*<br><br>Bristol Medical School offer an extensive programme of intensive online short courses. Places are available to book on the following forthcoming courses:<br><br>Multiple Imputation for Missing Data<br>10-12 June 2024<br>£660<br>Missing data are almost inevitable in medical research. This leads to a loss of power and potential bias. Multiple imputation is a widely-used and flexible approach for handling missing data. [...]Michael Zyphur2024-03-13T13:46:04+11:002024-03-13T13:46:04+11:00Using ChatGPT and Copilot for Efficient Data Analysis in R - livestream seminarhttps://www.jiscmail.ac.uk/cgi-bin/wa-jisc.exe?A2=EVIDENCE-BASED-HEALTH;c88d1338.2403Hi everyone<br><br>Instats is incredibly pleased to be offering a 2-day workshop on Using<br>ChatGPT and Copilot for Efficient Data Analysis in R<br><https://instats.org/seminar/using-chatgpt-and-github-copilot-for-eff2>,<br>running March 20 - 21, by professor Peter Gruber (who holds dual PhDs in<br>physics and economics). This workshop provides a 21st-century introduction<br>to Statistical Analysis with R, focusing on the efficient use of AI<br>assistants including ChatGPT and Github Copilot to automate R coding with<br>plain language requests. Participants will learn step by step how to<br>install AI tools and how to harness their power for efficient data analysis<br>in R, making them many times [...]