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3 events found

Event types: Workshop 

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Keywords: STATA  or Statistical Methods 

  • 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

  • Advanced Statistical Analysis Using R: Online

    10 - 14 February 2025

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online-708c5af9-2c57-4a76-b8a0-4b681a594ba1 The focus of this course is on learning advanced statistical methods using R. R is a free software environment for scientific and statistical computing and graphics that runs on all common computing platforms. An active and highly skilled developer community works on development and improvement. It has become an environment of choice for the implementation of new methodology. It is at the same time attracting wide attention from statistical application area specialists. The powerful and innovative graphics abilities available in R include the provision of well-designed publication-quality plots. 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. We will spend an almost equal amount of time in PowerPoint sessions and computer exercises. During the PowerPoint sessions the focus will be on the statistical methods with minimal discussion of computer software. During the computer exercise time you will be using R to apply the statistical methods taught in the lectures. At the start of each session of computer exercises Mark will perform the first exercise in each set on his own computer demonstrating to the class the use of the software and the statistical results obtained. 2025-02-10 10:00:00 UTC 2025-02-14 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • 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

  • 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

  • Advanced Statistical Analysis Using R: Online

    10 - 14 February 2025

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online-708c5af9-2c57-4a76-b8a0-4b681a594ba1 The focus of this course is on learning advanced statistical methods using R. R is a free software environment for scientific and statistical computing and graphics that runs on all common computing platforms. An active and highly skilled developer community works on development and improvement. It has become an environment of choice for the implementation of new methodology. It is at the same time attracting wide attention from statistical application area specialists. The powerful and innovative graphics abilities available in R include the provision of well-designed publication-quality plots. 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. We will spend an almost equal amount of time in PowerPoint sessions and computer exercises. During the PowerPoint sessions the focus will be on the statistical methods with minimal discussion of computer software. During the computer exercise time you will be using R to apply the statistical methods taught in the lectures. At the start of each session of computer exercises Mark will perform the first exercise in each set on his own computer demonstrating to the class the use of the software and the statistical results obtained. 2025-02-10 10:00:00 UTC 2025-02-14 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • 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

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