1. Home
  2. Events
Register event
Show past events
5 events found

Keywords: quantitative 

  • 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

  • Applied Longitudinal Data Analysis

    3 - 7 February 2025

    Parkville, Australia

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-01850555-2b7e-44fe-bec7-ce8ce8a79285 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. 2025-02-03 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 longitudinal dataStatistical Methodsmixed effectsquantitative

  • 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

  • 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

  • Social Media Network and Text Analysis: Online

    10 - 13 February 2025

    Social Media Network and Text Analysis: Online https://dresa.org.au/events/social-media-network-and-text-analysis-online-f6093406-3c70-4ce9-b6bc-95bcc4a4898d This course introduces participants to approaches for collecting and analysing network and text data from social media, (Reddit, YouTube and Mastodon) and the WWW (hyperlink networks). In terms of analysis, the focus is on the application of social network analysis (SNA) and quantitative text analysis to online data. While the main software used in the course is R, we also introduce Gephi for advanced visualisation. Data collection is via the VOSON R Packages (VOSON Dashboard, vosonSML). We also cover other important R packages for network and text analysis such as: igraph (network analysis and visualisation), quanteda (quantitative analysis of textual data), tidytext (text mining), and wordcloud (text word clouds). The course will be particularly useful to academics and PhD students who want to become more computationally literate, and those from technical disciplines (e.g. computer science, engineering, information science) who want to become more familiar with social science approaches to analysing social media data. The course will also be useful for people from industry and government whose work involves quantitative analysis of social media data, e.g. for marketing, social research, public relations, brand management, journalism, opinion analysis. 2025-02-10 16:30:00 UTC 2025-02-13 21:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitativeRedditYouTubeMastodon

  • 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

  • Applied Longitudinal Data Analysis

    3 - 7 February 2025

    Parkville, Australia

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-01850555-2b7e-44fe-bec7-ce8ce8a79285 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. 2025-02-03 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 longitudinal dataStatistical Methodsmixed effectsquantitative

  • 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

  • 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

  • Social Media Network and Text Analysis: Online

    10 - 13 February 2025

    Social Media Network and Text Analysis: Online https://dresa.org.au/events/social-media-network-and-text-analysis-online-f6093406-3c70-4ce9-b6bc-95bcc4a4898d This course introduces participants to approaches for collecting and analysing network and text data from social media, (Reddit, YouTube and Mastodon) and the WWW (hyperlink networks). In terms of analysis, the focus is on the application of social network analysis (SNA) and quantitative text analysis to online data. While the main software used in the course is R, we also introduce Gephi for advanced visualisation. Data collection is via the VOSON R Packages (VOSON Dashboard, vosonSML). We also cover other important R packages for network and text analysis such as: igraph (network analysis and visualisation), quanteda (quantitative analysis of textual data), tidytext (text mining), and wordcloud (text word clouds). The course will be particularly useful to academics and PhD students who want to become more computationally literate, and those from technical disciplines (e.g. computer science, engineering, information science) who want to become more familiar with social science approaches to analysing social media data. The course will also be useful for people from industry and government whose work involves quantitative analysis of social media data, e.g. for marketing, social research, public relations, brand management, journalism, opinion analysis. 2025-02-10 16:30:00 UTC 2025-02-13 21:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitativeRedditYouTubeMastodon

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