Smart Survey Design

III: SURVEY RESPONSE RATES & PROS VS. CONS OF ONLINE SURVEYS

# A. Survey Response Rates

(Taken from: http://www.utexas.edu/academic/diia/assessment/iar/teaching/gather/method/survey- Response.php?task=research)

# 1. Calculating the Response Rate:

The percentage of people who respond to your survey is considered the “response rate.” A high survey response rate helps to ensure that the survey results are representative of the survey population. You can calculate the response rate for your survey using the following equation:

=

Let’s say you contacted 100 people and 40 responded.

You would then have 40 / 100 = .4. Multiply .4 by 100 to get a 40% response rate for your survey.

# 2. Determining an Acceptable Response Rate:

To determine acceptable response rates based on the way you are administering your survey you must consider several factors: (Taken from http://www.utexas.edu/academic/diia/assessment/iar/teaching/gather/method/survey- Response.php?task=research)

A.

The Purpose of the Research – When the objective is to measure effects, then the response rates are more important. If the survey’s objective is just to gain insight, then response rates may be less important.

B.

Statistical Analysis – You will need to understand the statistical techniques associated with the calculations you intend to use. If you are using SPSS or any other kind of statistical program to do in-depth data analysis; you will need to be familiar with those kinds of procedures. In addition, according to Steve Creech, consider taking your study beyond simple descriptive statistics and use inferential

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