Survey Analysis Courses

Courses Run for Current and Former Clients:

1-Day Survey Analysis Course

• Overview of analysis considerations
• Some do’s and don’ts of graphs and tables
• Measures of central tendency and dispersion
• Confidence Intervals
• Hypothesis testing
• Two-sample t-tests (for independent and paired data)
• Chi-square test of independence

1-Day Course for

• Department for Work and Pension
• Sustrans
• Durham County Council
• The Social Research Association (SRA)
• Cathie Marsh Institute for Social Research (CMIST)
• University of Hong Kong

Statistics Refreshers

• Descriptive vs. inferential statistics
• Some do’s and don’ts of graphs and tables
• What is a distribution?
• Measures of central tendency and dispersion
• Standardisation
• Standard error
• Confidence intervals
• Sample size requirements
• Hypothesis testing (illustrated with a one-sample Z-test)
• Effect of sample size / Statistical vs practical significance
• Multiple comparisons
• The principles behind
• Two sample t-tests (paired and independent)
• A one-way analyses of variance
• Chi-square test of independence
• Regression (a simple explanation of the basics)
• Measures of association
• Choosing a statistical test
• Example: Comparison of same research question using different tests
• Tips on reporting results

7-hour Course for

• Essex Summer School

1½-Day Course for

• Picker Institute

2-Day Course for

• Buildings Research Establishment Limited

3-Day Course for

• National Statistics Agency in Bosnia Herzegovina

Detailed course on correlation, bivariate and multiple regression, including:

• Creating dummy variables
• Creating interaction terms
• The assumptions behind the model and the implications of violating them.
• Introduction to logistic regression

2-day Regression Course

• University of Hong Kong
• Monash University, Malaysia

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