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Frequencies

Frequencies counts how many cases fall into each value of a variable and gives percentages, so it is the first thing to run on categorical data (gender, group, Likert items) and a quick check for typing errors.

Menu: Analyze → Descriptive Statistics → Frequencies…

When should I use Frequencies?

What are the assumptions?

How do I run it in StatLab?

  1. Choose one or more variables.
  2. Keep “Statistics table” ticked for numeric variables (mean, median, mode, SD, percentiles …).
  3. Optionally add a bar chart (categories) or a histogram with a normal curve (scale variables).

How do I read the output?

OutputMeaning
FrequencyNumber of cases with that value.
PercentShare of all cases, including missing ones.
Valid PercentShare of cases with a valid (non-missing) value — usually the one to report.
Cumulative PercentRunning total of Valid Percent; useful for ordinal scales (“62% agreed or less”).
Missing rowsUser-missing codes (e.g. 9 = no answer) are listed separately, then “System” for blank cells.
PercentilesWeighted-average definition (HAVERAGE): position p(n+1), the same default as most desktop statistics packages.

Worked example

Run Frequencies on gender in the bundled sample dataset (File → Sample dataset: 150 survey respondents with gender, programme group, age, pre/post test scores, five satisfaction items, income, smoking and education). Of 150 respondents, 69 (46.0%) are coded 2 = Female.

How would I report it in APA style?

Of the 150 respondents, 69 (46.0%) were female and 81 (54.0%) were male.

Numbers above were computed by StatLab’s validated engine from the sample dataset when this page was built.

What are common mistakes?

Where can I see it worked through?

Open StatLab   All guide topics