Skip to content

Descriptive statistics and sample profile table for your survey

The sample profile table and the descriptive statistics table open almost every quantitative results chapter: who answered, how they split by gender, age or income, and the mean and standard deviation of each variable. Upload your survey file and the tool builds both tables the way SPSS Frequencies and Descriptives do, writes the paragraph and checks skewness and kurtosis against the ±2 rule of George and Mallery (2010).

  1. Upload an Excel or CSV export of your survey (one row per respondent), or try the sample data.
  2. Tick the demographic variables and the score variables; items sharing a code (PU1, PU2…) become a construct score.
  3. Build the tables, then download the Word file or copy the tables and text.
1. Add your survey data
One row per respondent, with column names in the first row. Demographic columns (gender, age, income…) get a frequency table; score columns (PU1, PU2… or age in years) get the mean, standard deviation, skewness and kurtosis. Files from the Survey Kit or a Google Forms export work as they are.

Send to your study group

When the whole group uses one tool, your numbers match when you merge chapters.

Was this tool useful? Feedback / report a bug (by email; please do not paste real data).

What the two tables contain

Worked example: the built-in sample data

Click “Use sample data” to load 220 student responses with four demographic questions and two constructs on a 5-point scale: Satisfaction (SAT1–SAT4) and Trust (TR1–TR3). The tool recognises the demographics on its own and produces:

How to read the output

How to report it in APA 7

Put the sample profile table at the start of the results chapter (or in the participants section of the method chapter, if your department prefers) and the descriptive statistics table before the reliability analysis. Report means and standard deviations to two decimal places and percentages to one, and give the number of valid responses in the table title, for example “Table 4.1. Sample characteristics (n = 220)”. A typical sentence reads: “The Satisfaction score had a mean of 3.67 (SD = 0.80), at the high level on the 5-point scale.” The tool's paragraph follows this pattern and cites George and Mallery (2010) for the normality range. Your results are also saved to the results chapter report builder, which places them before Cronbach's alpha and EFA so you can download the whole chapter as one Word file. The next step is usually Cronbach's alpha.

Frequently asked questions

Does it give the same numbers as SPSS?

Counts and percentages follow the SPSS Frequencies table, and skewness and kurtosis use the sample-adjusted formulas of SPSS and Excel SKEW and KURT, so the figures should match. Check one variable against SPSS the first time you use the tool.

Which columns are treated as demographics?

Columns with a small number of distinct answers, such as gender, age band or income band, or columns whose question names a demographic. You can tick or untick any column in step 2 and step 3 before building the tables.

What happens to blank answers?

In the profile table, blanks are shown as “(no answer)” and excluded from the valid percentage. A construct score is computed only for respondents who answered all of its items, so its N can be lower than the sample size.

Is my data uploaded anywhere?

No. The file is read and the tables are built in your browser; nothing is sent to a server.

References

One of the free research tools of Research Corner.