Applied Statistical Procedures

NOTE: This course will require a laptop with SPSS installed and licensed. If you do not have acess to an appropriate laptop, ACSPRI will be able to organise one by prior arrangement. Contact info@acspri.org.au for more information.

 

This is an intermediate level course between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses covering topics such as SEM, Multiple Regression, and Factor Analysis.  This course will cover a range of the most commonly used statistical procedures, and it aims to provide participants with an ability to understand, run and interpret these procedures.  This course will further enhance the participant’s ability to understand research based literature where these procedures were employed.
 

The procedures that will be covered will include the following:
• The frequency based statistics of Chi Square Goodness of Fit and Chi Square Test of Association.
• The Parametric test of difference statistics of T-tests, ANOVA, ANCOVA, MANOVA, and MANCOVA. Factorial analysis with multiple independent variables will also be covered along with Repeated Measures ANOVA.
• The Non-Parametric test of difference statistics of Mann-Whitney, Wilcoxon, Friedmans Analysis of Variance, and Kruskal Wallis.
• The statistics to predict and to explain variance of Simple Regression, Multiple Regression, Discriminant Analysis and Multiple Discriminant Analysis.
• The data reduction technique of Factor Analysis
• Other considerations covered in this course will be
• Power, the data and statistics that are most powerful, and techniques for increasing statistical power.
• How to determine the best procedure for the demands of the research
• Data transformation to increase power and allow parametric procedures to be employed when data can be appropriated adjusted.
• The important interplay between effect size and significance.
• The integration of statistical results into reports.
 

This course is taught from an applied prospective.  The statistical package employed will be SPSS. Students will be exposed to a variety of research scenarios and to the logic of statistical procedure selection and application.  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.  Students completing this course should be able to select the appropriate statistical procedure, run the procedure, and report the results from an informed base of understanding.
 

 
Level 2 - runs over 5 days
Instructor: 

Dr Gordon Emmerson is a specialist in quantitative research. He taught undergraduate and postgraduate statistics programs at Victoria University within the Psychology Department, where he currently holds the position of Honory Fellow. He coordinated a major in Social Research Methods. Gordon was employed as a statistical/methods advisor to university staff in the US at Kansas State University in the late 1980s. He is an experienced group facilitator and regularly conducts workshops across a range of topic areas. He is an experienced user of data management and statistical packages including SPSSwin, Excel and Access. He has also undertaken a number of consultancies in quantitative research in the health and education sector.

Course dates: Monday 10 February 2014 - Friday 14 February 2014
Course status: Course completed (no new applicants)
Week: 
Week 3
Recommended Background: 

Participants should have an understanding of elementary statistics equivalent to the syllabus of ‘Fundamentals of Statistics’. 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.
 

Course fees
Member: 
$1,710
Non Member: 
$3,130
Full time student Member: 
$1,710
Notes: 

Course notes will be provided.