White Paper:
Anatomy of a Crosstab
by DataStar, Inc.
Are you new to market research or do you need a refresher course in basic survey tabulation principles? The following guide will help you better understand how to read and interpret the results of your survey project.
A crosstabulation (or "crosstab") is a table displaying survey results. It resembles a spreadsheet with multiple rows and columns, typically where the rows are tabulated survey responses and the columns are subgroups for analysis. Survey data can be analyzed in a variety of ways, but basic crosstabs remain a powerful tool in exploring your data. The best way to describe a crosstab and its components is by looking at an example.
Key to below Crosstab:
-
Banner points
Typical banner points are demographic breakdowns or other classification questions like overall satisfaction levels. The banner points are the individual columns which comprise the banner. -
Table title
Title lines are typically either the actual question text or a paraphrased description of the table contents. Any bases or filters applied to the table or other descriptions may also be labeled here. -
Banner
The banner (or header) consists of the subgroups for data analysis. Usually all tables are run by a common banner of up to approximately 20 banner points. -
Stub
The stub contains the table rows. These rows typically include the questionnaire responses choices, plus any additional summary rows, nets or statistic rows. -
Summary rows
The summary rows shown here are Total (all respondents) and No Answer (those missing from the table or who did not answer the question). Also sometimes shown here are Total Answering, Total Mentions, or other summaries. -
Table cells
The table cells may be frequency counts, row or column percepts, or other data values. Each cell in this table shows the frequency count and vertical (column) percentage (based on total respondents).
This table shows that 182 respondents or 36% of the total sample gave a rating of excellent.
This table cell shows that 70 respondents or 47% of those aged 35+ gave a rating of excellent. -
Net rows
Nets are groups of similar answers combined in the stub. Shown here are the combined high (top-2) and low (bottom-2) responses to the rating scale. A table for an open-ended question may show nets for likes, dislikes, or other answer groupings. -
Summary statistics
Where applicable, descriptive statistics such as the mean (average), median, standard deviation and standard error are often included on tables for analysis purposes.
Having a solid understanding of the basic elements of a crosstab will promote better communication with your tabulation partner and help you to get the most from your survey data. There are many options not described here which are also available when analyzing survey results. The next StarTips article will help round out some of the more advanced concepts of survey tabulation and develop specifications (a "tab plan") for your data analysis.
This content was provided by DataStar, Inc. Visit their website at www.surveystar.com.
Other content shared by DataStar, Inc.
Get the Most From Your Employee Research
by DataStar, Inc.
Successful companies often share a strong commitment to ongoing efforts to measure employee engagement and satisfaction. In this article, we discuss some ways to boost participation rates and ensure the success of your employee survey programs. Read Article »
Datum et veritas - Having Faith In Your Data
by DataStar, Inc.
Simply put, bad information begets bad decisions. Using inaccurate data as an information source puts you at risk for making the wrong decision. The importance of data verification is fundamental to all business and scientific practices, and has been the subject of many conferences and discussion groups. Yes Virginia, paper surveys are still alive and verification practices are an integral part of assuring high quality data capture. Read Article »
Quality vs. Quantity - A Look At The Options For Data Capture
by DataStar, Inc.
We are often asked about the pros and cons of scanning data as opposed to traditional data entry. If the quantity of survey forms and the schedule demand it, using an advanced data capture system can make sense, but in the majority of situations we prefer to employ manual data capture methods. Read Article »
What Every Researcher Should Know About Statistical Significance
by DataStar, Inc.
Survey researchers use significance testing as an aid in expressing the reliability of survey results. We use phrases such as "significantly different," "margin of error," and "confidence levels" to help describe and make comparisons when analyzing data. The purpose of this article is to foster a better understanding of the underlying principles behind the statistics. Read Article »
Survey Tabulation Basics: Statistics
by DataStar, Inc.
This article provides a summary of the basic descriptive statistics typically shown in crosstabs and other survey data analyses. Included are the basic measures with which all researchers should be comfortable. Read Article »
How to Interpret Standard Deviation and Standard Error in Survey Research
by DataStar, Inc.
Standard Deviation and Standard Error are perhaps the two least understood statistics commonly shown in data tables. The following article is intended to explain their meaning and provide additional insight on how they are used in data analysis. Read Article »





