1. Online Resources

While Google is often your best friend when trying to do statistical analysis, sometimes it also helps to have dedicated places to go to, that you know you can trust.

Below are three websites which we recommend as places to find information about how to use SPSS.

2. Dr Hangyoung Lee’s SPSS Workshops (SSCI202)

• Workshop 1: Introduction to SPSS
  1. How to access SPSS in iLab (this is redundant so ignore this)
  2. Navigating SPSS user interface (data and variable views)
  3. How to enter data manually
  4. How to save and open data files
  5. How to create a new variable by recoding an existing variable
• Workshop 2: Visualising Data
  1. Producing a pie chart
  2. Producing a bar chart
  3. Producing a grouped bar chart
  4. Producing a stacked bar chart
  5. Producing a histogram
  6. How to save SPSS graphs as a format of graphic files
• Workshop 3: Exploring the 2012 AuSSA Data
  1. Explore the 2012 AuSSA data
  2. Learn about missing values
  3. How to construct a new variable by using the Recode and Compute command
  4. How to compute descriptive statistics.
• Workshop 4: Creating an Index of Attitudes toward Working Women
  1. Recoding Variables into Dichotomous Variables
  2. Creating an Index using the Compute Command
• Workshop 5: Exploring Crime Rates in New South Wales (Part 1)
  1. Explore the Dataset for Crime Rates by Local Government Areas in New South Wales.
  2. How to move variables
  3. How to sort cases
  4. How to generate z-scores of a variable
• Workshop 6: Exploring Crime Rates in New South Wales (Part 2)
  1. How to select cases that meet a user-defined condition.
  2. How to categorise continuous variables
  3. How to combine two existing variables to create a new variable.
• Workshop 7: Exploring the 2009 AuSSA Data
  1. Exploring the 2009 AuSSA Data
• Workshop 8: Confidence Intervals and Hypothesis Testing
  1. Create a Confidence Interval
  2. Confidence Intervals for Continuous Variables
  3. Confidence Intervals by a Group
  4. Confidence Intervals for a Proportion
  5. Visualising Confidence Intervals
  6. Hypothesis Testing
  7. One-Sample t-Test
  8. Two-Sample t-Test
  9. t-Test of Proportion Differences
• Workshop 9: Bivariate Association
  1. Crosstabs and Chi-Square
  2. Recoding Variables
• Workshop 10: Correlation
  1. Bivariate Correlations
  2. Scatterplots
• Workshop 11: Regression Analysis
  1. Simple linear regression
  2. Multiple Linear Regression
  3. Dummy Variables