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Country: Australia 

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Fields: MEDICAL AND HEALTH SCIENCES  or ARTIFICIAL INTELLIGENCE AND... 

  • ACCS Brain Imaging Workshop Series: Webinar on Machine Learning for Neuroimaging

    19 May 2022

    Melbourne, Australia

    ACCS Brain Imaging Workshop Series: Webinar on Machine Learning for Neuroimaging https://dresa.org.au/events/accs-brain-imaging-workshop-series-webinar-on-machine-learning-for-neuroimaging Machine Learning (ML) is a rapidly emerging new area for research in neurosciences, opening the door to a number of analysis applications and pipelines, as well as predictive capabilities. We are very excited to offer the webinar session, bringing together experts from New Zealand and Australia, to provide an overview of the field and speak to their own recent experiences in leveraging this new technology for neuroimaging. 2022-05-19 13:00:00 UTC 2022-05-19 15:00:00 UTC ACCS Project Melbourne, Australia Melbourne Australia Monash University Farnoosh Sadeghian (farnoosh.sadeghian@monash.edu) [] researcherstudentssupportfacilities staff webinar open_to_all machine learningCVLACCSneuroimaging

  • ACCS Brain Imaging Series. Workshop. Activities with ML analysis on CVL@M3.

    26 May 2022

    ACCS Brain Imaging Series. Workshop. Activities with ML analysis on CVL@M3. https://dresa.org.au/events/accs-brain-imaging-series-workshop-activities-with-ml-analysis-on-cvl-m3 In this hands-on session, Dr Chao Suo (Monash University) looks at ways to implement ML techniques for neuroimaging using the CVL desktop. Participants will follow analysis pipelines using example data. Workshop attendees are also invited to BYO data and are welcome to ask Chao’s advice and guidance for their planned analyses. 2022-05-26 13:00:00 UTC 2022-05-26 15:00:00 UTC ACCS Project Melbourne, Australia Melbourne Australia Monash University Farnoosh Sadgehian (farnoosh.sadeghian@monash.edu) [] beginnersstudentsresearcherfacilities staff 20 workshop open_to_all neuroimagingCVL@M3CVLmachine learning

  • ACCS Brain Imaging Series. Drop-in. Troubleshooting activities with ML analysis on CVL@Wiener.

    27 May 2022

    ACCS Brain Imaging Series. Drop-in. Troubleshooting activities with ML analysis on CVL@Wiener. https://dresa.org.au/events/accs-brain-imaging-series-drop-in-troubleshooting-activities-with-ml-analysis-on-cvl-wiener This is a drop-in session for CVL@Wiener users who attended the previous workshop on 26 May and who would like to ask any questions about adapting the workflows to work on that platform. Previous attendees with follow-up questions regarding running analyses on CVL@M3 are also welcome to pop by. 2022-05-27 13:00:00 UTC 2022-05-27 14:00:00 UTC ACCS Project Melbourne, Australia Melbourne Australia Monash University Farnoosh Sadgehian (farnoosh.sadeghian@monash.edu) [] beginnersstudentsresearcherfacilities staff 20 workshop open_to_all neuroimagingCVL@WienerCVLmachine learning

  • COMBINE Symposium 2022

    28 November 2022

    Docklands, Australia

    COMBINE Symposium 2022 https://dresa.org.au/events/combine-symposium-2022 The COMBINE Symposium is a student-run, non-profit conference that aims to gather a diverse group of students and ECRs who are curious, passionate and eager to learn more about bioinformatics and computational biology. COMBINE Symposium 2022 will be held as a hybrid virtual/in-person event on the 28th of November, in conjunction with the ABACBS/VCBS/BioCAsia conferences. Abstract submissions are now open and will close on 12/09/2022. More details will be available closer to the conference. Join our mailing list at [https://www.combine.org.au/join/](https://www.combine.org.au/join/) and our slack channel at [http://bit.ly/COMBINE_SLACK](http://bit.ly/COMBINE_SLACK) to receive updates on events and workshops. 2022-11-28 09:30:00 UTC 2022-11-28 18:00:00 UTC Australian Computational Biology and Bioinformatics Student Society (COMBINE) Monash College City Campus, 750 Collins Street, Docklands, Australia Monash College City Campus, 750 Collins Street Docklands Australia 3008 Australian Computational Biology and Bioinformatics Student Society (COMBINE) combine@combine.org.au [] anystudentsresearch studentsresearchers conference open_to_all []

  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online 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) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics

  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online 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. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. 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. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi 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 in many ways is easier to use. 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 either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics

  • Fundamentals of Program Evaluation in Public Policy: Online

    16 - 20 January 2023

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online The course is structured to progress participants through the stages of an evaluation from conceptualisation through to negotiating the design, data collection, synthesis and reporting stages. You will be exposed to key theories and approaches to evaluation and then have the opportunity to apply these to real examples of evaluations. Examples from published studies and the grey literature, and the facilitator’s applied practice in evaluation will be drawn upon to illustrate and reinforce key concepts. This course is designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation

  • Fundamentals of Structural Equation Modelling: Online

    16 - 20 January 2023

    Fundamentals of Structural Equation Modelling: Online https://dresa.org.au/events/fundamentals-of-structural-equation-modelling-online Structural equation modelling—or structural equations with latent variables—is a very general statistical model and widely used method. For example, SEM is used in fundamental disciplines such as the social, economic and psychological sciences, the biological sciences, and applied disciplines such as education, health and marketing. SEM has become popular for several reasons, apart from its generality: (i) all SEM models can be represented visually, (ii) a standard notation helps researchers to communicate, and (iii) several software packages for estimating SEM models are readily available (e.g., AMOS, LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of SEM and how it is used by applied researchers. General aims of the course are for students to develop a readiness for using SEM software and to develop the requisite knowledge for applying SEM methods and models in an intelligent way. Note that participants may be invited to briefly present their own research on the last day of class. This exercise, along with the formal lecture material, might help participants to chart a direction forward in their study and application of SEM. 2023-01-16 10:00:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all SEMStructural equation modellingStatistical Methodsquantitative

  • Foundations of R for Research: Online

    19 - 20 January 2023

    Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software

  • 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

  • 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

  • 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 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

  • ACCS Brain Imaging Workshop Series: Webinar on Machine Learning for Neuroimaging

    19 May 2022

    Melbourne, Australia

    ACCS Brain Imaging Workshop Series: Webinar on Machine Learning for Neuroimaging https://dresa.org.au/events/accs-brain-imaging-workshop-series-webinar-on-machine-learning-for-neuroimaging Machine Learning (ML) is a rapidly emerging new area for research in neurosciences, opening the door to a number of analysis applications and pipelines, as well as predictive capabilities. We are very excited to offer the webinar session, bringing together experts from New Zealand and Australia, to provide an overview of the field and speak to their own recent experiences in leveraging this new technology for neuroimaging. 2022-05-19 13:00:00 UTC 2022-05-19 15:00:00 UTC ACCS Project Melbourne, Australia Melbourne Australia Monash University Farnoosh Sadeghian (farnoosh.sadeghian@monash.edu) [] researcherstudentssupportfacilities staff webinar open_to_all machine learningCVLACCSneuroimaging

  • ACCS Brain Imaging Series. Workshop. Activities with ML analysis on CVL@M3.

    26 May 2022

    ACCS Brain Imaging Series. Workshop. Activities with ML analysis on CVL@M3. https://dresa.org.au/events/accs-brain-imaging-series-workshop-activities-with-ml-analysis-on-cvl-m3 In this hands-on session, Dr Chao Suo (Monash University) looks at ways to implement ML techniques for neuroimaging using the CVL desktop. Participants will follow analysis pipelines using example data. Workshop attendees are also invited to BYO data and are welcome to ask Chao’s advice and guidance for their planned analyses. 2022-05-26 13:00:00 UTC 2022-05-26 15:00:00 UTC ACCS Project Melbourne, Australia Melbourne Australia Monash University Farnoosh Sadgehian (farnoosh.sadeghian@monash.edu) [] beginnersstudentsresearcherfacilities staff 20 workshop open_to_all neuroimagingCVL@M3CVLmachine learning

  • ACCS Brain Imaging Series. Drop-in. Troubleshooting activities with ML analysis on CVL@Wiener.

    27 May 2022

    ACCS Brain Imaging Series. Drop-in. Troubleshooting activities with ML analysis on CVL@Wiener. https://dresa.org.au/events/accs-brain-imaging-series-drop-in-troubleshooting-activities-with-ml-analysis-on-cvl-wiener This is a drop-in session for CVL@Wiener users who attended the previous workshop on 26 May and who would like to ask any questions about adapting the workflows to work on that platform. Previous attendees with follow-up questions regarding running analyses on CVL@M3 are also welcome to pop by. 2022-05-27 13:00:00 UTC 2022-05-27 14:00:00 UTC ACCS Project Melbourne, Australia Melbourne Australia Monash University Farnoosh Sadgehian (farnoosh.sadeghian@monash.edu) [] beginnersstudentsresearcherfacilities staff 20 workshop open_to_all neuroimagingCVL@WienerCVLmachine learning

  • COMBINE Symposium 2022

    28 November 2022

    Docklands, Australia

    COMBINE Symposium 2022 https://dresa.org.au/events/combine-symposium-2022 The COMBINE Symposium is a student-run, non-profit conference that aims to gather a diverse group of students and ECRs who are curious, passionate and eager to learn more about bioinformatics and computational biology. COMBINE Symposium 2022 will be held as a hybrid virtual/in-person event on the 28th of November, in conjunction with the ABACBS/VCBS/BioCAsia conferences. Abstract submissions are now open and will close on 12/09/2022. More details will be available closer to the conference. Join our mailing list at [https://www.combine.org.au/join/](https://www.combine.org.au/join/) and our slack channel at [http://bit.ly/COMBINE_SLACK](http://bit.ly/COMBINE_SLACK) to receive updates on events and workshops. 2022-11-28 09:30:00 UTC 2022-11-28 18:00:00 UTC Australian Computational Biology and Bioinformatics Student Society (COMBINE) Monash College City Campus, 750 Collins Street, Docklands, Australia Monash College City Campus, 750 Collins Street Docklands Australia 3008 Australian Computational Biology and Bioinformatics Student Society (COMBINE) combine@combine.org.au [] anystudentsresearch studentsresearchers conference open_to_all []

  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online 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) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics

  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online 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. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. 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. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi 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 in many ways is easier to use. 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 either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics

  • Fundamentals of Program Evaluation in Public Policy: Online

    16 - 20 January 2023

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online The course is structured to progress participants through the stages of an evaluation from conceptualisation through to negotiating the design, data collection, synthesis and reporting stages. You will be exposed to key theories and approaches to evaluation and then have the opportunity to apply these to real examples of evaluations. Examples from published studies and the grey literature, and the facilitator’s applied practice in evaluation will be drawn upon to illustrate and reinforce key concepts. This course is designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation

  • Fundamentals of Structural Equation Modelling: Online

    16 - 20 January 2023

    Fundamentals of Structural Equation Modelling: Online https://dresa.org.au/events/fundamentals-of-structural-equation-modelling-online Structural equation modelling—or structural equations with latent variables—is a very general statistical model and widely used method. For example, SEM is used in fundamental disciplines such as the social, economic and psychological sciences, the biological sciences, and applied disciplines such as education, health and marketing. SEM has become popular for several reasons, apart from its generality: (i) all SEM models can be represented visually, (ii) a standard notation helps researchers to communicate, and (iii) several software packages for estimating SEM models are readily available (e.g., AMOS, LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of SEM and how it is used by applied researchers. General aims of the course are for students to develop a readiness for using SEM software and to develop the requisite knowledge for applying SEM methods and models in an intelligent way. Note that participants may be invited to briefly present their own research on the last day of class. This exercise, along with the formal lecture material, might help participants to chart a direction forward in their study and application of SEM. 2023-01-16 10:00:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all SEMStructural equation modellingStatistical Methodsquantitative

  • Foundations of R for Research: Online

    19 - 20 January 2023

    Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software

  • 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

  • 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

  • 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 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

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