Introduction to Data Analysis: SPSS Without Tears

Summary

INTRODUCTION TO DATA ANALYSIS: SPSS WITHOUT TEARS introduces data analysis using IBM SPSS. The course covers data analysis using basic bio-statistical principles and methods. Participants will have opportunity to analyse real life medical data and supports for results discussion and conclusion.

The short course will cover the following topics:
• data entering
• data labelling
• data cleaning
• data computing/transforming
• data analysis (using commands on menus) including hypothesis test, 95% CI, ANOVA, non-parametric, RR, OR, correlation analysis, linear, logistic and Cox’s regression

SPSS Data Analysis is most suitable for: those who have knowledge of the basic concepts in biostatistics eg. hypothesis test, 95% CI, ANOVA, non-parametric methods, chi-square analysis, relative risk (RR), odds ratio (OR), linear regression, logistic regression and cox regression.

All participants of this course are required to provide evidence that they have successfully completed the topics below either through previous study or attendance of the Biostatistics for Clinical and Public Health Research short course:
• Key Concepts in Public Health and Clinical Studies
• Statistical Methods for Analysing Continuous Data
• Statistical Methods for Analysing Categorical Data
• Sample size calculation

Participants can attend Day 1, Day 2 or both days of this course. Please refer to the course timetable for module breakdown.

All registrants must bring a laptop (Mac or Windows) to this course which has either SPSS or a trial version of SPSS installed.

Details

  • When

  • Monday, October 16, 2017 - Tuesday, October 17, 2017
    9:00 AM - 5:00 PM

  • Where

  • School of Public Health and Preventive Medicine
    553 St Kilda Road
    Melbourne, Victoria 3004
    + 61 3 9903 0693

Additional Information

While the information contained herein was correct at the date of publication, Monash reserves the right to alter procedures, fees and regulations should the need arise.

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