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

Fields: MEDICAL AND HEALTH SCIENCES 

  • Foundations of Qualitative Methodologies, Data Collection and Analysis: Online

    6 - 8 February 2023

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online This is an introductory course which deals with the major decisions a qualitative researchers needs to make initially: * framing * research design and ethics * qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. The target audience for this course is those who would like to become more familiar with qualitative research decisions and techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2023-02-06 09:30:00 UTC 2023-02-08 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory

  • 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

  • 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 in R: Online

    6 - 10 February 2023

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r-online This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. This is a problem-based course for subject matter experts who want to use R to take their quantitative analysis to the next level. By the end of the week you will be able to better conduct descriptive analysis and regression in R, and will be able to create impressive looking data visualisations. R is open source and free. It is flexible, powerful and intuitive and it is excellent for data visualisation. As it is open source, R has thousands of developers in leading universities, corporate research labs and other institutions across the world. This means its capabilities tend to exceed competing software, with new packages added or updated daily. This is particularly the case for data visualisation, in which R tends to lead the pack. As there is no licence, you can take it with you wherever you go. No matter where you work, you don't have to change software packages when you change employers. Consequently, R has becoming increasingly popular for academic research, economics analysis and public policy development. This trend is only likely to continue. Being skilled in R will help build your personal capabilities and employment opportunities by making you a more flexible worker capable of undertaking analysis many other researchers and analysts cannot. 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 R studioR statisticsR statistical softwareIntroductory

  • 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

  • Qualitative Research: Design, Analysis and Representation: Online

    6 - 10 February 2023

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 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 Qualitative ResearchQualitative methodsqualitative data

  • Advanced Statistical Analysis Using R: Online

    6 - 10 February 2023

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • Advanced Structural Equation Modelling: Online

    6 - 10 February 2023

    Advanced Structural Equation Modelling: Online https://dresa.org.au/events/https-www-acspri-org-au-summer-program-2023-advanced-structural-equation-modelling-online Introductory courses typically cover path analysis amongst observed variables, confirmatory factor analysis, and full SEM models with latent variables. This course covers a number of more complex models including models with mediating variables, models with interactions (moderation), ANOVA and ANCOVA models for latent outcomes, multi-level models (including repeated measures models) and mixture models. Furthermore, introductory courses usually deal only with continuous, normally distributed variables. This course addresses the treatment of non-normal data and covers the analysis of observed categorical variables including ordered categorical (ordinal) variables such as Likert scales and unordered categorical (nominal) variables that may be binary (Male/Female, Problem Gambler/Non Gambler, Smoker/Non-Smoker, etc.) or polynomial (Australian/Indonesian/South African, etc.) 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 existing AMOS and/or Mplus users. 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 Structural equation modellingAdvancedSEMMplusAMOS

  • 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

  • Foundations of Qualitative Methodologies, Data Collection and Analysis: Online

    6 - 8 February 2023

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online This is an introductory course which deals with the major decisions a qualitative researchers needs to make initially: * framing * research design and ethics * qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. The target audience for this course is those who would like to become more familiar with qualitative research decisions and techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2023-02-06 09:30:00 UTC 2023-02-08 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory

  • 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

  • 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 in R: Online

    6 - 10 February 2023

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r-online This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. This is a problem-based course for subject matter experts who want to use R to take their quantitative analysis to the next level. By the end of the week you will be able to better conduct descriptive analysis and regression in R, and will be able to create impressive looking data visualisations. R is open source and free. It is flexible, powerful and intuitive and it is excellent for data visualisation. As it is open source, R has thousands of developers in leading universities, corporate research labs and other institutions across the world. This means its capabilities tend to exceed competing software, with new packages added or updated daily. This is particularly the case for data visualisation, in which R tends to lead the pack. As there is no licence, you can take it with you wherever you go. No matter where you work, you don't have to change software packages when you change employers. Consequently, R has becoming increasingly popular for academic research, economics analysis and public policy development. This trend is only likely to continue. Being skilled in R will help build your personal capabilities and employment opportunities by making you a more flexible worker capable of undertaking analysis many other researchers and analysts cannot. 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 R studioR statisticsR statistical softwareIntroductory

  • 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

  • Qualitative Research: Design, Analysis and Representation: Online

    6 - 10 February 2023

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 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 Qualitative ResearchQualitative methodsqualitative data

  • Advanced Statistical Analysis Using R: Online

    6 - 10 February 2023

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • Advanced Structural Equation Modelling: Online

    6 - 10 February 2023

    Advanced Structural Equation Modelling: Online https://dresa.org.au/events/https-www-acspri-org-au-summer-program-2023-advanced-structural-equation-modelling-online Introductory courses typically cover path analysis amongst observed variables, confirmatory factor analysis, and full SEM models with latent variables. This course covers a number of more complex models including models with mediating variables, models with interactions (moderation), ANOVA and ANCOVA models for latent outcomes, multi-level models (including repeated measures models) and mixture models. Furthermore, introductory courses usually deal only with continuous, normally distributed variables. This course addresses the treatment of non-normal data and covers the analysis of observed categorical variables including ordered categorical (ordinal) variables such as Likert scales and unordered categorical (nominal) variables that may be binary (Male/Female, Problem Gambler/Non Gambler, Smoker/Non-Smoker, etc.) or polynomial (Australian/Indonesian/South African, etc.) 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 existing AMOS and/or Mplus users. 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 Structural equation modellingAdvancedSEMMplusAMOS

  • 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

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