1. Home
  2. Events
Register event
Hide past events
17 events found

Keywords: applied statistics 

  • Sample Size Calculation Workshop

    1 December 2022

    Sample Size Calculation Workshop https://dresa.org.au/events/sample-size-calculation-workshop-faaee685-a51d-4b6f-9eb3-e4c53eac5707 Using free software for sample size and statistical power calculations G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. The workshop includes concepts of statistical power and relevant statistical tests presented in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. 2022-12-01 09:00:00 UTC 2022-12-01 15:00:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au. [] Researchers and HDRs – especially those involved in the health sciences, life sciences and psychological sciences – or anyone who wants to learn about statistical power and sample size analysis. workshopwebinar open_to_all sample size calculationStatisticsapplied statisticsG*Power

  • Applied Structural Equation Modelling

    30 January - 3 February 2023

    Melbourne, Australia

    Applied Structural Equation Modelling https://dresa.org.au/events/applied-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn how to run basic structural equation models using either the AMOS and/or Mplus software. 2023-01-30 09:00:00 UTC 2023-02-03 17:00:00 UTC ACSPRI University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Applied Statistical Procedures: Online

    6 - 10 February 2023

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online This is an intermediate, applied course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding. The course is taught from an applied prospective, with questions encouraged. The statistical package employed will be SPSS. No prior knowledge of SPSS is required. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS

  • Data Analysis Using Stata: Online

    6 - 10 February 2023

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Fundamentals of Multiple Regression: Online

    6 - 10 February 2023

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. (See Course Program below.) By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statistics

  • Applied Structural Equation Modelling: Online

    13 - 17 February 2023

    Applied Structural Equation Modelling: Online https://dresa.org.au/events/applied-structural-equation-modelling-online Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn how to run basic structural equation models using either the AMOS and/or Mplus software. 2023-02-13 10:00:00 UTC 2023-02-17 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Multi-level Analysis using Mplus

    1 - 5 July 2024

    Multi-level Analysis using Mplus https://dresa.org.au/events/multi-level-analysis-using-mplus 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) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. During the course, Phil will make appointments with participants who want help with their own research problems. These appointments will be scheduled either before, between or after instruction time on the last two days of the course. The target audience for this course is researchers needing to learn how to analyse data that has been collected through a hierarchical (or clustered) sampling approach using the Mplus software. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all AdvancedStatistical Methodsapplied statisticsStatisticsmultilevel modellingMplus

  • Advanced Statistical Analysis Using R

    1 - 5 July 2024

    Advanced Statistical Analysis Using R https://dresa.org.au/events/advanced-statistical-analysis-using-r The focus of this course is on learning advanced statistical methods using R. This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be suitable for people familiar with these statistical methods in other packages, but with no prior experience using R. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all R softwareAdvancedStatistical Methodsapplied statisticsStatistics

  • Applied Statistical Procedures

    8 - 12 July 2024

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures This course is taught from an applied perspective, with questions encouraged. This is an intermediate, course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure-based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. Students may take this course using one of two statistical packages, SPSS or Jamovi. No prior knowledge of either SPSS or Jamovi is required. The target audience for this course range from Qualitative researchers wanting to gain Quantitative skills, to Quantitative researchers wanting to broaden their understanding across procedures, or to become more comfortable with covariance prior to taking SEM. 2024-07-08 10:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Statistical Methodsapplied statisticsStatistics

  • Fundamentals of Multiple Regression

    8 - 12 July 2024

    Fundamentals of Multiple Regression https://dresa.org.au/events/fundamentals-of-multiple-regression This course covers enough of the statistical material for the intelligent use of the technique. The approach is informal and applied rather than emphasising algebraic manipulation or proofs. The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis Participants can use their preferred statistical software (SPSS, SAS, Stata or R, etc) for the data analysis exercises. 2024-07-08 10:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Statistical Methodsapplied statisticsStatisticsMultiple RegressionRegression analysis

  • 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

  • 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 Structural Equation Modelling

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Structural Equation Modelling https://dresa.org.au/events/introduction-to-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed as an introductory SEM course aimed at introducing participants to the basic concept of SEM and to a range of structural equation models using AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concept of SEM and how to run structural equation models using either the AMOS and/or Mplus software. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Applied Statistical Procedures

    3 - 7 February 2025

    Parkville, Australia

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures-708475ab-6452-4440-9605-4df561aa8833 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS

  • Fundamentals of Multiple Regression: Online

    10 - 14 February 2025

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online-9d4b2fa0-da15-4d3e-ad88-6fa7df7a5074 The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata or R) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statisticsRegression analysis

  • Applied Statistical Procedures: Online

    10 - 14 February 2025

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online-f83424fd-9b9e-46bb-9a24-7bbf928c7172 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSSJamovi

  • Introduction to Python for Social Sciences: Online

    2 - 3 May 2025

    Introduction to Python for Social Sciences: Online https://dresa.org.au/events/introduction-to-python-for-social-sciences-online One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. You will be introduced to Anaconda, setting up a Python environment and using Jupyter Notebook to run the workshop examples. This masterclass offers a step-by-step, interactive introduction to Python for participants with no experience with this software package. This masterclass, part of the ACSPRI suite of courses in social data science, is specially designed for those who want to learn how to use Python for data manipulation and statistical analysis. 2025-05-02 09:30:00 UTC 2025-05-03 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all pythonStatistical Methodsapplicationapplied statisticsCoding

  • Sample Size Calculation Workshop

    1 December 2022

    Sample Size Calculation Workshop https://dresa.org.au/events/sample-size-calculation-workshop-faaee685-a51d-4b6f-9eb3-e4c53eac5707 Using free software for sample size and statistical power calculations G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. The workshop includes concepts of statistical power and relevant statistical tests presented in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. 2022-12-01 09:00:00 UTC 2022-12-01 15:00:00 UTC La Trobe University Statistics Consultancy Platform Hybrid: via Zoom or in person at Physical sciences 2, Bundoora, Australia Hybrid: via Zoom or in person at Physical sciences 2 Bundoora Australia 3086 La Trobe University For more information contact Statistics.Consultancy@latrobe.edu.au. [] Researchers and HDRs – especially those involved in the health sciences, life sciences and psychological sciences – or anyone who wants to learn about statistical power and sample size analysis. workshopwebinar open_to_all sample size calculationStatisticsapplied statisticsG*Power

  • Applied Structural Equation Modelling

    30 January - 3 February 2023

    Melbourne, Australia

    Applied Structural Equation Modelling https://dresa.org.au/events/applied-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn how to run basic structural equation models using either the AMOS and/or Mplus software. 2023-01-30 09:00:00 UTC 2023-02-03 17:00:00 UTC ACSPRI University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Applied Statistical Procedures: Online

    6 - 10 February 2023

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online This is an intermediate, applied course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding. The course is taught from an applied prospective, with questions encouraged. The statistical package employed will be SPSS. No prior knowledge of SPSS is required. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS

  • Data Analysis Using Stata: Online

    6 - 10 February 2023

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Fundamentals of Multiple Regression: Online

    6 - 10 February 2023

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. (See Course Program below.) By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statistics

  • Applied Structural Equation Modelling: Online

    13 - 17 February 2023

    Applied Structural Equation Modelling: Online https://dresa.org.au/events/applied-structural-equation-modelling-online Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn how to run basic structural equation models using either the AMOS and/or Mplus software. 2023-02-13 10:00:00 UTC 2023-02-17 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Multi-level Analysis using Mplus

    1 - 5 July 2024

    Multi-level Analysis using Mplus https://dresa.org.au/events/multi-level-analysis-using-mplus 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) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. During the course, Phil will make appointments with participants who want help with their own research problems. These appointments will be scheduled either before, between or after instruction time on the last two days of the course. The target audience for this course is researchers needing to learn how to analyse data that has been collected through a hierarchical (or clustered) sampling approach using the Mplus software. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all AdvancedStatistical Methodsapplied statisticsStatisticsmultilevel modellingMplus

  • Advanced Statistical Analysis Using R

    1 - 5 July 2024

    Advanced Statistical Analysis Using R https://dresa.org.au/events/advanced-statistical-analysis-using-r The focus of this course is on learning advanced statistical methods using R. This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be suitable for people familiar with these statistical methods in other packages, but with no prior experience using R. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all R softwareAdvancedStatistical Methodsapplied statisticsStatistics

  • Applied Statistical Procedures

    8 - 12 July 2024

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures This course is taught from an applied perspective, with questions encouraged. This is an intermediate, course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure-based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. Students may take this course using one of two statistical packages, SPSS or Jamovi. No prior knowledge of either SPSS or Jamovi is required. The target audience for this course range from Qualitative researchers wanting to gain Quantitative skills, to Quantitative researchers wanting to broaden their understanding across procedures, or to become more comfortable with covariance prior to taking SEM. 2024-07-08 10:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Statistical Methodsapplied statisticsStatistics

  • Fundamentals of Multiple Regression

    8 - 12 July 2024

    Fundamentals of Multiple Regression https://dresa.org.au/events/fundamentals-of-multiple-regression This course covers enough of the statistical material for the intelligent use of the technique. The approach is informal and applied rather than emphasising algebraic manipulation or proofs. The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis Participants can use their preferred statistical software (SPSS, SAS, Stata or R, etc) for the data analysis exercises. 2024-07-08 10:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Statistical Methodsapplied statisticsStatisticsMultiple RegressionRegression analysis

  • 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

  • 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 Structural Equation Modelling

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Structural Equation Modelling https://dresa.org.au/events/introduction-to-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed as an introductory SEM course aimed at introducing participants to the basic concept of SEM and to a range of structural equation models using AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concept of SEM and how to run structural equation models using either the AMOS and/or Mplus software. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Applied Statistical Procedures

    3 - 7 February 2025

    Parkville, Australia

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures-708475ab-6452-4440-9605-4df561aa8833 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS

  • Fundamentals of Multiple Regression: Online

    10 - 14 February 2025

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online-9d4b2fa0-da15-4d3e-ad88-6fa7df7a5074 The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata or R) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statisticsRegression analysis

  • Applied Statistical Procedures: Online

    10 - 14 February 2025

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online-f83424fd-9b9e-46bb-9a24-7bbf928c7172 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSSJamovi

  • Introduction to Python for Social Sciences: Online

    2 - 3 May 2025

    Introduction to Python for Social Sciences: Online https://dresa.org.au/events/introduction-to-python-for-social-sciences-online One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. You will be introduced to Anaconda, setting up a Python environment and using Jupyter Notebook to run the workshop examples. This masterclass offers a step-by-step, interactive introduction to Python for participants with no experience with this software package. This masterclass, part of the ACSPRI suite of courses in social data science, is specially designed for those who want to learn how to use Python for data manipulation and statistical analysis. 2025-05-02 09:30:00 UTC 2025-05-03 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all pythonStatistical Methodsapplicationapplied statisticsCoding

Note, this map only displays events that have geolocation information in DReSA.
For the complete list of events in DReSA, click the grid tab.