Summary SPSS commands interpretations and examples for Introduction to Statistics

SPSS commands

FREQUENCIES variable.

● proportions
● How many people in the sample score on a specific value of a variable?




DESCRIPTIVES variablename
/STATISTICS = MEAN STDDEV.

● mean, sample size, standard deviation




DESCRIPTIVES variablename
/SAVE.
● saving z-scores in a new variable

DESCRIPTIVES Zvariablename
/STATISTICS = MIN MAX.

● showing minimum/maximum z-score

, DESCRIPTIVES variablename
/STATISTICS = SEMEAN.
● standard error




RECODE variablename (1 2 = 1) (4 THRU 7 = 2) (ELSE=SYSMIS) INTO newvariable.
EXECUTE.

● recoding variable
● THRU means 4 5 6 7 = 2 but it’s smarter
● (ELSE=SYSMIS) other values are skipped, missing (e.g. ‘don’t know’, ‘other’)
● (ELSE=0) when we make dichotomous variable and (1 2 3 = 1) and the rest we want
to be 0, so instead (4 THRU 9 = 0) we do faster/smarter move


VARIABLE LABELS newvariable "Type in a name of new variable".

VALUE LABELS newvariable 1 "Value name" 2 "Next value name" 3 "Last value name".

COMPUTE newvariable = 2022 + - / * variable.
EXECUTE.

● mathematical operation

FREQUENCIES variable
/HISTOGRAM.

● visualization - graph




COMPUTE filtername = (variable=valueyouwant).
FILTER BY filtername.
EXECUTE.
● analyses on a subset of the data only