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Keywords: applied statistics  or Qualitative Research 

  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-dd0743d2-612d-4326-bb92-1d2b834e23d3 In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis

  • Introduction to Qualitative Research

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Qualitative Research https://dresa.org.au/events/introduction-to-qualitative-research In this course you will learn about all elements of the qualitative research process and how they are interrelated. We will unpack the key components of qualitative research design, including the stances and theories that underpin qualitative methodologies, as well as techniques of data collection and analysis. We pay particular attention to what’s involved in ethically employing popular methods such as interviewing and observation. We also address the practical and ethical considerations of online methods, given the growing uptake of remote research during the coronavirus pandemic. The course combines lectures covering foundational issues with practical workshops that give you a chance to practice qualitative techniques first-hand. The target audience for this course is those who would like to become more familiar with qualitative research techniques, from postgraduate university students and staff to researchers in government and private organisations. 2025-02-03 09:00:00 UTC 2025-02-07 13:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data

  • Qualitative Research: Design, Analysis and Representation

    3 - 7 February 2025

    Parkville, Australia

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-9e3c11c2-470a-4eac-aff9-625df80944e9 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. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Introduction to Structural Equation Modelling

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Structural Equation Modelling https://dresa.org.au/events/introduction-to-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed as an introductory SEM course aimed at introducing participants to the basic concept of SEM and to a range of structural equation models using AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concept of SEM and how to run structural equation models using either the AMOS and/or Mplus software. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Applied Statistical Procedures

    3 - 7 February 2025

    Parkville, Australia

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures-708475ab-6452-4440-9605-4df561aa8833 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS

  • Introduction to Social Network Research and Analysis: Online

    10 - 14 February 2025

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online-89a8f985-314b-43b0-a204-c1a5d1cb69a9 This course is designed for social researchers using qualitative and mixed methods. The course builds from the basic, pioneering methodologies of Social Network Analysis (SNA): survey-based egonet SNA and sociometric, "whole network' SNA, and their extensions, to network sensitive ethnographies, community networks, web-based network surveys and research on social media activities. The course reviews the possibilities for working with rich network data from interview or online sources and the unique perspectives that qualitative and social research traditions bring to these tasks. The course explores ways to best manage and explore different kinds of network data in Excel, uses UCINET and NetDraw to produce network diagrams and descriptive statistics. We review other appropriate software related to participants' needs. The course serves as a transition to the associated ACSPRI courses Network Analysis in Social, Business and Political Research and Big Data Analysis for Social Scientists. Network research designs covered in this course are: * Surveys using ego-centric network (egonet) methods * Network-sensitive ethnographies * Sociometric (‘round robin’) ‘whole network’ studies and small group research * Associational/ Affiliation (‘2-mode’) networks (including ethological studies) * Cognitive mapping and socio-cognitive mapping (SCM) For each methodology we consider the best ways to code and manage raw data, the most efficient formats for importing such data into visualisation and analysis software and appropriate measures and statistics for reporting findings. We also discuss the process of relating validated findings to broader research questions (‘meta-inference’), extrapolating them to other settings and associated questions of research design. 2025-02-10 09:30:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au Ph: +61 3 8376 6496 [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data

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

    10 - 12 February 2025

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online-f6d91eeb-18da-4656-bf0a-8207696d03c1 This is an introductory course which deals with the major decisions qualitative researchers needs to make initially: -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. 2025-02-10 09:30:00 UTC 2025-02-12 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory

  • Fundamentals of Multiple Regression: Online

    10 - 14 February 2025

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online-9d4b2fa0-da15-4d3e-ad88-6fa7df7a5074 The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata or R) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statisticsRegression analysis

  • Qualitative Research: Design, Analysis and Representation: Online

    10 - 14 February 2025

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online-212ea68f-b59b-4692-8256-8ad14cd55442 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. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Applied Statistical Procedures: Online

    10 - 14 February 2025

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online-f83424fd-9b9e-46bb-9a24-7bbf928c7172 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSSJamovi

  • NVivo Essentials: Online

    25 - 27 March 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-fc34269c-4eea-497a-a6a7-ec46a01a248d NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2025-03-25 10:00:00 UTC 2025-03-27 14:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo

  • Collecting, Managing and Analysing Qualitative Interview Data: Online

    7 - 8 April 2025

    Collecting, Managing and Analysing Qualitative Interview Data: Online https://dresa.org.au/events/collecting-managing-and-analysing-qualitative-interview-data-online This two-day online course will address the issues of preparing for, collecting, managing and analysing data from Face to Face and Focus Group interviews from a practical perspective. The emphasis is on practical experience and 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 data. 2025-04-07 09:30:00 UTC 2025-04-08 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all qualitative interviewingQualitative methodsqualitative dataQualitative Researchqualitative

  • Discourse Analysis: Online

    28 - 29 April 2025

    Discourse Analysis: Online https://dresa.org.au/events/discourse-analysis-online Utilising existing data in qualitative research is extremely valuable either as a total data set in its own right or as a subset to enhance interview and observational data sets. Michael Foucault initiated the basic approach to dealing with existing spoken, written or visual data such as policy documents, case notes, photos, articles etc. and this was later further developed by Norman Fairclough into Critical Discourse analysis. This two-day online course will demonstrate with practical examples, the two major approaches to analysing dicourses: Foucauldian and Critical Discourse Analysis. 2025-04-28 09:30:00 UTC 2025-04-29 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all Qualitative ResearchQualitative methodsqualitativediscourse analysisqualitative data

  • Introduction to Python for Social Sciences: Online

    2 - 3 May 2025

    Introduction to Python for Social Sciences: Online https://dresa.org.au/events/introduction-to-python-for-social-sciences-online One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. You will be introduced to Anaconda, setting up a Python environment and using Jupyter Notebook to run the workshop examples. This masterclass offers a step-by-step, interactive introduction to Python for participants with no experience with this software package. This masterclass, part of the ACSPRI suite of courses in social data science, is specially designed for those who want to learn how to use Python for data manipulation and statistical analysis. 2025-05-02 09:30:00 UTC 2025-05-03 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all pythonStatistical Methodsapplicationapplied statisticsCoding

  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-dd0743d2-612d-4326-bb92-1d2b834e23d3 In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis

  • Introduction to Qualitative Research

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Qualitative Research https://dresa.org.au/events/introduction-to-qualitative-research In this course you will learn about all elements of the qualitative research process and how they are interrelated. We will unpack the key components of qualitative research design, including the stances and theories that underpin qualitative methodologies, as well as techniques of data collection and analysis. We pay particular attention to what’s involved in ethically employing popular methods such as interviewing and observation. We also address the practical and ethical considerations of online methods, given the growing uptake of remote research during the coronavirus pandemic. The course combines lectures covering foundational issues with practical workshops that give you a chance to practice qualitative techniques first-hand. The target audience for this course is those who would like to become more familiar with qualitative research techniques, from postgraduate university students and staff to researchers in government and private organisations. 2025-02-03 09:00:00 UTC 2025-02-07 13:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data

  • Qualitative Research: Design, Analysis and Representation

    3 - 7 February 2025

    Parkville, Australia

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-9e3c11c2-470a-4eac-aff9-625df80944e9 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. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Introduction to Structural Equation Modelling

    3 - 7 February 2025

    Parkville, Australia

    Introduction to Structural Equation Modelling https://dresa.org.au/events/introduction-to-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed as an introductory SEM course aimed at introducing participants to the basic concept of SEM and to a range of structural equation models using AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concept of SEM and how to run structural equation models using either the AMOS and/or Mplus software. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative

  • Applied Statistical Procedures

    3 - 7 February 2025

    Parkville, Australia

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures-708475ab-6452-4440-9605-4df561aa8833 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS

  • Introduction to Social Network Research and Analysis: Online

    10 - 14 February 2025

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online-89a8f985-314b-43b0-a204-c1a5d1cb69a9 This course is designed for social researchers using qualitative and mixed methods. The course builds from the basic, pioneering methodologies of Social Network Analysis (SNA): survey-based egonet SNA and sociometric, "whole network' SNA, and their extensions, to network sensitive ethnographies, community networks, web-based network surveys and research on social media activities. The course reviews the possibilities for working with rich network data from interview or online sources and the unique perspectives that qualitative and social research traditions bring to these tasks. The course explores ways to best manage and explore different kinds of network data in Excel, uses UCINET and NetDraw to produce network diagrams and descriptive statistics. We review other appropriate software related to participants' needs. The course serves as a transition to the associated ACSPRI courses Network Analysis in Social, Business and Political Research and Big Data Analysis for Social Scientists. Network research designs covered in this course are: * Surveys using ego-centric network (egonet) methods * Network-sensitive ethnographies * Sociometric (‘round robin’) ‘whole network’ studies and small group research * Associational/ Affiliation (‘2-mode’) networks (including ethological studies) * Cognitive mapping and socio-cognitive mapping (SCM) For each methodology we consider the best ways to code and manage raw data, the most efficient formats for importing such data into visualisation and analysis software and appropriate measures and statistics for reporting findings. We also discuss the process of relating validated findings to broader research questions (‘meta-inference’), extrapolating them to other settings and associated questions of research design. 2025-02-10 09:30:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au Ph: +61 3 8376 6496 [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data

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

    10 - 12 February 2025

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online-f6d91eeb-18da-4656-bf0a-8207696d03c1 This is an introductory course which deals with the major decisions qualitative researchers needs to make initially: -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. 2025-02-10 09:30:00 UTC 2025-02-12 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory

  • Fundamentals of Multiple Regression: Online

    10 - 14 February 2025

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online-9d4b2fa0-da15-4d3e-ad88-6fa7df7a5074 The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata or R) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statisticsRegression analysis

  • Qualitative Research: Design, Analysis and Representation: Online

    10 - 14 February 2025

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online-212ea68f-b59b-4692-8256-8ad14cd55442 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. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Applied Statistical Procedures: Online

    10 - 14 February 2025

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online-f83424fd-9b9e-46bb-9a24-7bbf928c7172 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSSJamovi

  • NVivo Essentials: Online

    25 - 27 March 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-fc34269c-4eea-497a-a6a7-ec46a01a248d NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2025-03-25 10:00:00 UTC 2025-03-27 14:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo

  • Collecting, Managing and Analysing Qualitative Interview Data: Online

    7 - 8 April 2025

    Collecting, Managing and Analysing Qualitative Interview Data: Online https://dresa.org.au/events/collecting-managing-and-analysing-qualitative-interview-data-online This two-day online course will address the issues of preparing for, collecting, managing and analysing data from Face to Face and Focus Group interviews from a practical perspective. The emphasis is on practical experience and 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 data. 2025-04-07 09:30:00 UTC 2025-04-08 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all qualitative interviewingQualitative methodsqualitative dataQualitative Researchqualitative

  • Discourse Analysis: Online

    28 - 29 April 2025

    Discourse Analysis: Online https://dresa.org.au/events/discourse-analysis-online Utilising existing data in qualitative research is extremely valuable either as a total data set in its own right or as a subset to enhance interview and observational data sets. Michael Foucault initiated the basic approach to dealing with existing spoken, written or visual data such as policy documents, case notes, photos, articles etc. and this was later further developed by Norman Fairclough into Critical Discourse analysis. This two-day online course will demonstrate with practical examples, the two major approaches to analysing dicourses: Foucauldian and Critical Discourse Analysis. 2025-04-28 09:30:00 UTC 2025-04-29 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all Qualitative ResearchQualitative methodsqualitativediscourse analysisqualitative data

  • Introduction to Python for Social Sciences: Online

    2 - 3 May 2025

    Introduction to Python for Social Sciences: Online https://dresa.org.au/events/introduction-to-python-for-social-sciences-online One of the key skills in data science is making effective use of the Python software for manipulating data and generating results. Python is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. You will be introduced to Anaconda, setting up a Python environment and using Jupyter Notebook to run the workshop examples. This masterclass offers a step-by-step, interactive introduction to Python for participants with no experience with this software package. This masterclass, part of the ACSPRI suite of courses in social data science, is specially designed for those who want to learn how to use Python for data manipulation and statistical analysis. 2025-05-02 09:30:00 UTC 2025-05-03 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all pythonStatistical Methodsapplicationapplied statisticsCoding

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