SPSS – Statistics
1. Variable view
a. Label = explanation (biological gender when someone is born)
Values = answer ( 1: male; 2: female; 3: other)
Data view = values under variable
b. Creating variables in SPSS
1. Variable view – enter
2. Analyzing data
a. Analyze – descriptive statistics – frequencies
1. Enter variables
2. Statistics – click mean, median, mode
3. Charts – click bar charts
4. Look at output
b. Select cases
1. Data – select cases
2. Choose variable and value (ex. Country = 1)
Remember:
Nominal – named variables
Ordinal – named + ordered variables
Interval – named + ordered + proportional interval between variables + no zero point
Ratio – named + ordered + proportional interval between variables + zero point
3. Bivariate Statistics: Pearson’s r
“A correlation is a statistical procedure used to describe the strength and
direction of the linear relationship between two factors” (Privitera, 2015, p. 479)
a. Scatterplot
o Graphs – Legacy Dialogs – Scatter / Dot – Simple Scatter
o Enter variables
o Remember: Independent variable on X-axis
b. Pearson’s r
o Analyze – Correlate – Bivariate
o Check Pearson
o Two tailed
4. Recoding variables into new ones
Transform – Recode into different variables
Enter Ranges, values
Checking new variable
o Analyze – descriptive statistics – frequencies – display frequency tables
1. Variable view
a. Label = explanation (biological gender when someone is born)
Values = answer ( 1: male; 2: female; 3: other)
Data view = values under variable
b. Creating variables in SPSS
1. Variable view – enter
2. Analyzing data
a. Analyze – descriptive statistics – frequencies
1. Enter variables
2. Statistics – click mean, median, mode
3. Charts – click bar charts
4. Look at output
b. Select cases
1. Data – select cases
2. Choose variable and value (ex. Country = 1)
Remember:
Nominal – named variables
Ordinal – named + ordered variables
Interval – named + ordered + proportional interval between variables + no zero point
Ratio – named + ordered + proportional interval between variables + zero point
3. Bivariate Statistics: Pearson’s r
“A correlation is a statistical procedure used to describe the strength and
direction of the linear relationship between two factors” (Privitera, 2015, p. 479)
a. Scatterplot
o Graphs – Legacy Dialogs – Scatter / Dot – Simple Scatter
o Enter variables
o Remember: Independent variable on X-axis
b. Pearson’s r
o Analyze – Correlate – Bivariate
o Check Pearson
o Two tailed
4. Recoding variables into new ones
Transform – Recode into different variables
Enter Ranges, values
Checking new variable
o Analyze – descriptive statistics – frequencies – display frequency tables
