Instats is a provider of training in scientific research, especially in the use of various software and methods of statistical data processing.
UM Faculty of Education is a partner institution with Instats, so staff receive a 30% discount on training courses.
Below are some upcoming livestreaming seminars at Instats which may be of interest to you. The University of Maribor is an institutional partner of Instats, so if you register for any Instats livestreaming or on-demand seminars using your university/organisational email address, you will automatically receive 30% off. Enjoy!
Secondary Data in Mixed Methods Research with Daphne C. Watkins – Livestreaming Mar 12 – Mar 13
The ability to effectively incorporate and utilize secondary data in mixed methods research is becoming increasingly important for social and health scientists.
Machine Learning and AI for Researchers in R with Giovanni Cerulli – Livestreaming Mar 12 – Mar 14
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R.
Linear and Nonlinear Regression with Continuous and Categorical Data with Ronald Landis – Livestreaming Mar 19 – Mar 20
This comprehensive 2-day workshop will equip PhD students, professors, and professional researchers with the knowledge and skills needed to effectively use linear and nonlinear regression models in their research, with continuous and categorical data as either outcome or predictor variable.
Applied Longitudinal Data Analysis with Emilio Ferrer – Livestreaming Mar 21 – Mar 23
This comprehensive 3-day workshop is designed to equip researchers with the skills to effectively analyze longitudinal data with classic and advanced modeling techniques.
Using ChatGPT and Copilot for Efficient Data Analysis in R with Peter Gruber – Livestreaming Mar 21 – Mar 22
This workshop provides a 21st-century introduction to Statistical Analysis with R, focusing on the efficient use of AI assistants such as Github Copilot and ChatGPT.
Analyzing Experimental Data in Structural Equation Models with Bert Weijters – Livestreaming Mar 21 – Mar 23
This two-day workshop, ‘Analyzing Experimental Data using Structural Equation Modeling’, led by Bert Weijters from Ghent University, provides a comprehensive understanding of SEM and its applications in research, with a focus on using Mplus software for SEM analysis.
Monte Carlo Simulations: Power Analysis and Beyond with Timothy Bednall – Livestreaming Apr 2 – Apr 4
This 3-day workshop offers a comprehensive understanding of Monte Carlo simulations and power analysis using Mplus and R software.
Introduction to Mixed Methods Research with Sergi Fabregues – Livestreaming Apr 5 – Apr 5
This two-day seminar focuses on mixed methods research and is designed to introduce participants to its principles and practical considerations.
Using ChatGPT to go from Procrastination to Productivity with Piers Steel & Hadi Fariborzi – Livestreaming Apr 11 – Apr 13
This 2-day workshops aims to enhance research productivity through the strategic use of AI tools like ChatGPT, addressing common work obstacles such as procrastination.
Machine Learning for Research in Python with Giovanni Cerulli – Livestreaming Apr 16 – Apr 17
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python.
Searching for Systematic Reviews: Advanced Design Methods with Julie Glanville & Carol Lefebvre – Livestreaming Apr 17 – Apr 19
This training event looks at advanced methods for search strategy design for systematic reviews and other evidence syntheses.
R 和 Mplus 中的多级建模 – Multilevel Modeling in R and Mplus with Yucheng Zhang – Livestreaming Apr 17 – Apr 20
本次为期 4 天（每天三小时）的多层次分析（Multilevel analysis）的在线课程由张昱城老师讲授。本课程将探索管理学、心理学、社会学和市场营销等领域中多层次分析应用的原理与分析操作。 本次在线课程会将讲授研究中实施多层次建模的知识和技能，涵盖从基本原理到高级分析的众多主题。本课程在软件应用方面的特色是精讲R语言的分析代码，并将R语言的分析结果与代码和 Mplus 进行详细对比，帮助课程参与者理解这两个软件在进行多层次分析的异同。.
Initiation aux Modèles d’Équations Structurelles (SEM) avec Stata with SMCS – Livestreaming Apr 22 – Apr 26
L’atelier “Initiation aux modèles d’équations structurelles (SEM) avec Stata” organisé par l’Université catholique de Louvain est un séminaire complet de quatre jours conçu pour doter les chercheurs des compétences nécessaires pour appliquer les SEM dans la recherche en utilisant Stata.
Using ChatGPT to Learn Python for Data Analysis with Peter Gruber – Livestreaming Apr 23 – Apr 25
This workshop provides a 21st-century introduction to Statistical Analysis with Python using ChatGPT.
Searching for Systematic Reviews: Selecting and Searching Databases with Julie Glanville & Carol Lefebvre – Livestreaming Apr 24 – May 1
[color=rgb(55, 53, 47)]This training event looks at the range of resources that could be searched when undertaking systematic reviews and other evidence syntheses in healthcare.
Game Theory and International Politics with Serdar Güner – Livestreaming Apr 27 – Apr 28
This one-day workshop offers a comprehensive understanding of the application of game theory in the complex world of international politics.
Modern Machine Learning Techniques with Ricardo Vilalta – Livestreaming May 3 – May 4
This workshop offers a comprehensively introduction to modern machine learning techniques in Python.
Factor Analysis and Measurement Invariance with Categorical Data in Mplus with Kevin Grimm – Livestreaming May 5 – May 5
The ‘Factor Analysis and Measurement Invariance with Categorical Data in Mplus’ seminar, led by professor Kevin Grimm from Arizona State University, offers a comprehensive understanding of confirmatory factor models for binary and ordered categorical indicators and the examination of measurement invariance, a critical concept in social sciences research.
Factor Analysis and Measurement Invariance with Categorical Data in R with Kevin Grimm – Livestreaming May 12 – May 12
The ‘Factor Analysis and Measurement Invariance with Categorical Data in R’ seminar, led by professor Kevin Grimm from Arizona State University, offers a comprehensive understanding of confirmatory factor models for binary and ordered categorical indicators and the examination of measurement invariance, a critical concept in social sciences research.
Using ChatGPT for Fast and Impressive Data Visualisations in R with Peter Gruber – Livestreaming May 14 – May 15
Visualization is the most efficient and convincing way to communicate scientific results.
Introduction à l’Utilisation de la Plateforme REDCap with SMCS – Livestreaming May 14 – May 15
L’Université catholique de Louvain présente un atelier complet de deux demi-jours sur l’utilisation de REDCap, un outil puissant de gestion d’enquêtes et de bases de données en ligne.
Becoming a Qualitative Researcher: Guidelines and Opportunities with David Silverman – Livestreaming May 21 – May 23
The ‘Becoming a Qualitative Researcher: Guidelines and Opportunities’ seminar, led by David Silverman, is a comprehensive 3 half-day workshop aimed at equipping researchers new to qualitative research with the skills to design and conduct a qualitative project.
Pratique de la Statistique avec SPSS with SMCS – Livestreaming May 21 – May 25
Ce séminaire est conçu pour aider les participants à améliorer leurs compétences statistiques et à apprendre à utiliser efficacement SPSS, un outil d’analyse de données convivial largement utilisé dans les sciences sociales et de la santé.
Process Tracing: Introduction to Methods and Applications with Ingo Rohlfing – Livestreaming May 22 – May 24
This course will explore the essentials of process tracing, a key research method in the social sciences and adjacent fields such as evaluation, management and organizational studies.
Using ChatGPT for Advanced Data Analysis 3.0 with Peter Gruber – Livestreaming May 23 – Jun 4
This 2-day workshop (specifically tailored for US and European time zones) is aimed at non-statisticians who have to perform data analysis in their work or research.
Non-Parametric Regression for Prediction and Scenario Analysis with Giovanni Cerulli – Livestreaming May 30 – May 30
This one-day workshop, led by Giovanni Cerulli from the Research Institute on Sustainable Economic Growth, provides a comprehensive understanding of non-parametric regression for prediction and ‘scenario analysis’ to project the results of policies and interventions.
Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues – Livestreaming Jun 18 – Jun 18
The integration of quantitative and qualitative components is the most challenging part of a mixed methods study, and therefore integration procedures and strategies are crucial for authors to obtain the maximum added value from their mixed methods studies.
Deep Learning and AI for Research in Python with Giovanni Cerulli – Livestreaming Jul 2 – Jul 2
This seminar is an introduction to Deep Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python.
Methodological and Other Search Filters for Evidence Synthesis with Carol Lefebvre & Julie Glanville – Livestreaming Oct 25 – Oct 25
This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis.
Identifying Unpublished Clinical Trial Data for Evidence Syntheses with Carol Lefebvre & Julie Glanville – Livestreaming Oct 30 – Nov 1
This workshop provides an overview of identifying clinical trials and trial results for systematic reviews and other evidence syntheses.
