Description:

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.

Start: Monday, 06 February 2023 @ 10:00

End: Friday, 10 February 2023 @ 16:00

Duration: 5 Days

Timezone: Melbourne

Venue: Online

 Country: Australia

Prerequisites:

Participants should have an understanding of elementary statistics equivalent to the syllabus of Fundamentals of Statistics (see ACSPRI website for details). This lab based course requires students to follow instruction in running and interpreting a range of statistical procedures. It is assumed that participants will have little or no familiarity with at least some of the procedures presented.

The statistical package employed will be SPSS. No prior knowledge of SPSS is required.

Learning Objectives:

This is an intermediate, applied course covering a range of the most commonly used statistical procedures. It aims to provide participants with an ability to understand, run and interpret these procedures. This course will further enhance your ability to understand research based literature where these procedures were employed.

Eligibility:
  • Open to all

Organiser: ACSPRI

Contact: info@acspri.org.au

Host institution: ACSPRI

Keywords: Statistics, Statistical Methods, applied statistics, SPSS

Fields: MEDICAL AND HEALTH SCIENCES, EDUCATION, COMMERCE, MANAGEMENT, TOURISM AND SERVICES, STUDIES IN HUMAN SOCIETY, PSYCHOLOGY AND COGNITIVE SCIENCES

Event type:
  • Workshop
Tech Requirements:

Your own computer
Access to Zoom
A copy of SPSS

Cost Basis: Cost incurred by all

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