Ibm Spss
If you are a student or researcher, you will likely use these features most often:
Pro tip: After defining values, you can see labels in Data View via View → Value Labels. ibm spss
GET DATA /TYPE=TXT /FILE='data.csv' /DELCASE=LINE /DELIMITERS=",".
VARIABLE LABELS var1 'Age' var2 'Income'.
FREQUENCIES VARIABLES=var1 var2 /STATISTICS=MODE MEDIAN.
DESCRIPTIVES VARIABLES=var3 /STATISTICS=MEAN STDDEV.
REGRESSION /DEPENDENT y /METHOD=ENTER x1 x2.
| Column | Meaning |
|--------|---------|
| Levene’s Test | Check significance. If p > 0.05, use "Equal variances assumed" row. |
| t | Test statistic (larger = stronger evidence). |
| df | Degrees of freedom. |
| Sig. (2-tailed) | The p-value. If < 0.05, result is statistically significant. |
| Mean Difference | Raw difference between groups. | If you are a student or researcher, you
Important: Blank cells become system-missing (
.). Do not use 0 for missing. Pro tip: After defining values, you can see
Example 1: T-test (compare male vs female income)
Example 2: Chi-square (gender vs voting preference)
Example 3: Pearson correlation (age and satisfaction score)