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7 event found

Keywords: quantitative 

  • Applied Longitudinal Data Analysis

    30 January - 3 February 2023

    Melbourne, Australia

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis 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. 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 longitudinal dataStatistical Methodsmixed effectsquantitative
  • Fundamentals of Statistics

    30 January - 3 February 2023

    Melbourne, Australia

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics 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 emphasising statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences. Key examples from journal articles will illustrate the use and reporting of the statistical techniques covered in this unit. The approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Software The course will use the free and open-source software jamovi, which can be downloaded from https://www.jamovi.org/download.html. While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and is easier to use in many ways. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages, and students can choose to use either jamovi or IBM SPSS Statistics v28. 2023-01-30 09:00:00 UTC 2023-02-03 16:00:00 UTC ACSPRI University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Fundamentals of StatisticsStatisticsJamoviStatistical Methodsquantitative
  • 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
  • Social Media Network and Text Analysis : Online

    6 - 8 February 2023

    Social Media Network and Text Analysis : Online https://dresa.org.au/events/social-media-network-and-text-analysis-online This course introduces participants to approaches for collecting and analysing network and text data from social media, (Twitter, YouTube and Reddit) 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, voson.tcn). 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. 2023-02-06 09:30:00 UTC 2023-02-08 17:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitative
  • 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 Longitudinal Data Analysis: Online

    13 - 17 February 2023

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online 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. 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 longitudinal dataStatistical Methodsmixed effectsquantitative
  • 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
  • Applied Longitudinal Data Analysis

    30 January - 3 February 2023

    Melbourne, Australia

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis 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. 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 longitudinal dataStatistical Methodsmixed effectsquantitative
  • Fundamentals of Statistics

    30 January - 3 February 2023

    Melbourne, Australia

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics 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 emphasising statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences. Key examples from journal articles will illustrate the use and reporting of the statistical techniques covered in this unit. The approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Software The course will use the free and open-source software jamovi, which can be downloaded from https://www.jamovi.org/download.html. While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and is easier to use in many ways. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages, and students can choose to use either jamovi or IBM SPSS Statistics v28. 2023-01-30 09:00:00 UTC 2023-02-03 16:00:00 UTC ACSPRI University of Melbourne, Melbourne, Australia University of Melbourne Melbourne Australia ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Fundamentals of StatisticsStatisticsJamoviStatistical Methodsquantitative
  • 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
  • Social Media Network and Text Analysis : Online

    6 - 8 February 2023

    Social Media Network and Text Analysis : Online https://dresa.org.au/events/social-media-network-and-text-analysis-online This course introduces participants to approaches for collecting and analysing network and text data from social media, (Twitter, YouTube and Reddit) 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, voson.tcn). 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. 2023-02-06 09:30:00 UTC 2023-02-08 17:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitative
  • 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 Longitudinal Data Analysis: Online

    13 - 17 February 2023

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online 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. 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 longitudinal dataStatistical Methodsmixed effectsquantitative
  • 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

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