Dr.%20Rufaidah%20Dabbagh,%20MBBS,%20MPH

1
Data Management and Acquisition Tutorial

• Dr. Rufaidah Dabbagh, MBBS, MPH
• Family and Community Medicine Department

2
Tutorial Outline

• Designing your variable view
• Entering Data
• Exploring data (descriptive statistics)
• Correlations
• Comparing Means
• Chi-square test
• Odds ratio

3
Designing Variable View in SPSS

• Before you start with your variable design on
  SPSS it is advised to prepare your code in
  advance.

4
(No Transcript)
5
Designing Code

• On variable view in SPSS you start entering each
  variable name. This cell usually doesnt allow
  spaces between characters, so you can enter an
  abbreviation for your variable.
• Under label you can write the entire variable,
  whether it was a whole question or a statement.

6

• Refer to SPSS software

7
Entering Data

• Data entry is simple after the code has been
  designed in the variable view
• Just enter the data as coded into each cell
• Take care of limits, width and variable type when
  entering data!

8
Exploring your data on SPSS

• Descriptive statistics
• Continuous variables (means, sd, median,
  interquartile ranges)
• Categorical data (frequencies and percentages)
• Graphs
• Histograms to observe symmetry of data
  (continuous variables)
• Bar charts and pie charts (categorical data)

9
Analyzing data on SPSS

• T-tests
• To compare means.
• Used for continuous variables only
• If the p-value for the t test estimate is
  statistically significant (lt0.05) then the two
  compared means are significantly different from
  each other in our sample.
• Examples
• One sample t test
• Independent sample t-test
• Paired t-test

10
Analyzing data on SPSS

• Correlation
• This helps us test the linear relationship
  between two variables.
• The correlation coefficient value ranges from -1
  to 1.
• Values that are closer to 1 (or-1) indicate a
  strong correlation
• The sign of the correlation (ve or ve)
  describes the type of correlation (positive
  linear relationship or negative linear
  relationship) example?

11
Analyzing data on SPSS

• Chi-square test

12
Analyzing data on SPSS

• Odds ratio

13

• Thank you