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  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping

  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 December 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-243123dd-470a-4bc9-8601-bcc0d5ad6e4b This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

  • Coordinated Access for Data, Researchers and Environments (CADRE)

    12 December 2024

    Coordinated Access for Data, Researchers and Environments (CADRE) https://dresa.org.au/events/coordinated-access-for-data-researchers-and-environments-cadre Join us online to learn about CADRE: a sensitive data access management platform for social sciences and related disciplines 2024-12-12 11:00:00 UTC 2024-12-12 12:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Science & TechnologyScience

  • Data Management Plans (DMPs) Interest Group 2024 #3

    13 December 2024

    Data Management Plans (DMPs) Interest Group 2024 #3 https://dresa.org.au/events/data-management-plans-dmps-interest-group-2024-3 We are an Australasian interest group for people interested in discussing, building and improving Data Management Plans (DMPs). 2024-12-13 13:30:00 UTC 2024-12-13 14:30:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 120 meeting open_to_all Science & TechnologyOther

  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

    Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/introduction-to-nonlinear-dynamical-systems-and-analysis-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This seminar introduces nonlinear dynamical systems analyses tailored for researchers in the social, behavioral, and economic sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research approaches. 2025-01-14 03:00:00 UTC 2025-01-15 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    14 - 15 January 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-01-14 22:00:00 UTC 2025-01-15 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []

  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []

  • Applied Longitudinal Data Analysis: Online

    20 - 24 January 2025

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-96122d42-a60d-4376-bd7d-11a16df8dcdf Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-01-20 09:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative

  • Fundamentals of Program Evaluation in Public Policy: Online

    20 - 22 January 2025

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online-2a37eb8e-208e-4877-8316-b80b2bad2d09 The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2025-01-20 10:00:00 UTC 2025-01-22 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation

  • Multi-level Analysis using Mplus: Online

    20 - 24 January 2025

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online-a161d07c-5e81-4efd-b300-32b2cf1a0ae9 This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2025-01-20 10:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics

  • Data Analysis Using Stata: Online

    20 - 24 January 2025

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online-8f70c6bb-483c-445b-a08f-56082b7de9b2 Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2025-01-20 10:00:00 UTC 2025-01-24 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Data Analysis in R: Online

    20 January - 4 February 2025

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods

  • Fundamentals of Statistics: Online

    20 - 24 January 2025

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-c773ce8c-36a5-4140-bca9-e276d2a324da In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. The course will be using the free and open-source software jamovi. there will be an opportunity to use IMB SPSS Statistics as an alternative. Instructions will be provided for both packages and students can choose either jamovi or IBM SPSS Statistics. 2025-01-20 10:00:00 UTC 2025-01-24 13:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all StatisticsFundamentals of StatisticsJamovi SPSSStatistical Methodsapplied statistics

  • Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    21 - 22 January 2025

    Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/introduction-to-survey-sampling-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This two-day workshop provides an in-depth introduction to applied survey sampling, focusing on key techniques such as simple random sampling, stratified sampling, and cluster sampling. Participants will learn the theoretical foundations of sampling design, explore coverage and sampling errors, and understand the importance of appropriate sample frames in different contexts. By the end of the course, attendees will have a solid grasp of the nuances of population representation and frame selection, enhancing their ability to design credible and accurate surveys. 2025-01-21 00:00:00 UTC 2025-01-22 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 24 January 2025

    Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-regression-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This three-day workshop provides a comprehensive introduction to regression analysis, focusing on practical application using software such as Stata, R, and SPSS. Participants will gain essential skills for conducting robust regression analyses, interpreting results, and solving common data issues, all of which are crucial for advancing academic and professional research in various fields. 2025-01-21 20:30:00 UTC 2025-01-24 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    23 - 24 January 2025

    Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/thematic-analysis-using-nvivo-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop introduces participants to the principles of thematic analysis and the capabilities of NVivo software, essential for rigorously analyzing qualitative data in social sciences and humanities research. Participants will gain practical skills in data management, coding, and thematic visualization, with personalized feedback to enhance their research output and methodological transparency. 2025-01-23 09:00:00 UTC 2025-01-24 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 08:00:00 UTC 2025-01-25 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school-70a8fb64-c944-4e8a-bf5f-a658c8ef8784 This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-27 20:00:00 UTC 2025-01-29 02:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

    Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete https://dresa.org.au/events/efficient-programming-in-r-free-seminar-with-michail-tsagris-department-of-economics-university-of-crete This 3-hour seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. 2025-01-28 01:00:00 UTC 2025-01-28 04:00:00 UTC Michail Tsagris, Department of Economics, University of Crete Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

    Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-28 04:00:00 UTC 2025-01-29 10:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

    Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping

  • Introduction to Programming: R for Reproducible Scientific Analysis

    9 - 12 December 2024

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-243123dd-470a-4bc9-8601-bcc0d5ad6e4b This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2024-12-09 09:00:00 UTC 2024-12-12 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

  • Coordinated Access for Data, Researchers and Environments (CADRE)

    12 December 2024

    Coordinated Access for Data, Researchers and Environments (CADRE) https://dresa.org.au/events/coordinated-access-for-data-researchers-and-environments-cadre Join us online to learn about CADRE: a sensitive data access management platform for social sciences and related disciplines 2024-12-12 11:00:00 UTC 2024-12-12 12:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Science & TechnologyScience

  • Data Management Plans (DMPs) Interest Group 2024 #3

    13 December 2024

    Data Management Plans (DMPs) Interest Group 2024 #3 https://dresa.org.au/events/data-management-plans-dmps-interest-group-2024-3 We are an Australasian interest group for people interested in discussing, building and improving Data Management Plans (DMPs). 2024-12-13 13:30:00 UTC 2024-12-13 14:30:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 120 meeting open_to_all Science & TechnologyOther

  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

    Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/introduction-to-nonlinear-dynamical-systems-and-analysis-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This seminar introduces nonlinear dynamical systems analyses tailored for researchers in the social, behavioral, and economic sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research approaches. 2025-01-14 03:00:00 UTC 2025-01-15 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    14 - 15 January 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-01-14 22:00:00 UTC 2025-01-15 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []

  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []

  • Applied Longitudinal Data Analysis: Online

    20 - 24 January 2025

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-96122d42-a60d-4376-bd7d-11a16df8dcdf Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-01-20 09:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative

  • Fundamentals of Program Evaluation in Public Policy: Online

    20 - 22 January 2025

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online-2a37eb8e-208e-4877-8316-b80b2bad2d09 The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2025-01-20 10:00:00 UTC 2025-01-22 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation

  • Multi-level Analysis using Mplus: Online

    20 - 24 January 2025

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online-a161d07c-5e81-4efd-b300-32b2cf1a0ae9 This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2025-01-20 10:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics

  • Data Analysis Using Stata: Online

    20 - 24 January 2025

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online-8f70c6bb-483c-445b-a08f-56082b7de9b2 Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2025-01-20 10:00:00 UTC 2025-01-24 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Data Analysis in R: Online

    20 January - 4 February 2025

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods

  • Fundamentals of Statistics: Online

    20 - 24 January 2025

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-c773ce8c-36a5-4140-bca9-e276d2a324da In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. The course will be using the free and open-source software jamovi. there will be an opportunity to use IMB SPSS Statistics as an alternative. Instructions will be provided for both packages and students can choose either jamovi or IBM SPSS Statistics. 2025-01-20 10:00:00 UTC 2025-01-24 13:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all StatisticsFundamentals of StatisticsJamovi SPSSStatistical Methodsapplied statistics

  • Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    21 - 22 January 2025

    Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/introduction-to-survey-sampling-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This two-day workshop provides an in-depth introduction to applied survey sampling, focusing on key techniques such as simple random sampling, stratified sampling, and cluster sampling. Participants will learn the theoretical foundations of sampling design, explore coverage and sampling errors, and understand the importance of appropriate sample frames in different contexts. By the end of the course, attendees will have a solid grasp of the nuances of population representation and frame selection, enhancing their ability to design credible and accurate surveys. 2025-01-21 00:00:00 UTC 2025-01-22 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 24 January 2025

    Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-regression-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This three-day workshop provides a comprehensive introduction to regression analysis, focusing on practical application using software such as Stata, R, and SPSS. Participants will gain essential skills for conducting robust regression analyses, interpreting results, and solving common data issues, all of which are crucial for advancing academic and professional research in various fields. 2025-01-21 20:30:00 UTC 2025-01-24 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    23 - 24 January 2025

    Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/thematic-analysis-using-nvivo-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop introduces participants to the principles of thematic analysis and the capabilities of NVivo software, essential for rigorously analyzing qualitative data in social sciences and humanities research. Participants will gain practical skills in data management, coding, and thematic visualization, with personalized feedback to enhance their research output and methodological transparency. 2025-01-23 09:00:00 UTC 2025-01-24 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 08:00:00 UTC 2025-01-25 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school-70a8fb64-c944-4e8a-bf5f-a658c8ef8784 This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-27 20:00:00 UTC 2025-01-29 02:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

    Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete https://dresa.org.au/events/efficient-programming-in-r-free-seminar-with-michail-tsagris-department-of-economics-university-of-crete This 3-hour seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. 2025-01-28 01:00:00 UTC 2025-01-28 04:00:00 UTC Michail Tsagris, Department of Economics, University of Crete Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

    Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-28 04:00:00 UTC 2025-01-29 10:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

    Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

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