Response rates | Survey Research Centre (2024)

The Survey Research Centre draws upon a wealth of expertise and best practices to achieve the highest possible response rates for all survey projects.

Definition of response rate

A generally accepted definition of a response rate is:

(Number of eligible sample units with completed interviewsx100%)/ (Number of eligible sample units)

To define the numerator and denominator we need to define what is meant by a sample unit, what "eligibility" is, and what constitutes a completed interview. The numerator is then easy to calculate, being an observed count.

For many surveys the denominator is not observable; these are surveys in whichfor some portion of sample units eligibility is never determined. In estimation ofthe denominator, in addition to a count of the known eligible sample units, thenumber with unknown eligibility may be included;less conservatively, the lattermight be replaced byan estimated proportion of those eligible from those withunknown eligibility.For example, for a random survey of smokers (one perhousehold), if it is known that 20% of Canadian households contain smokers,20% of units of unknown eligibility could be included in the denominator.

It is important in reporting results of surveys to clearly define the calculationsused to arrive at a response rate. Anyone should be able to reproduce thecalculations given the call dispositions. If it is desired to track response rates overtime, it is also important that the same method of calculation be used over time.

In the case of a recruited survey where all valid entries on the database areeligible, we could define the denominator to be the number of sample unitsaltogether, or perhaps the number of sample units with valid contact information(traceable).

Decompositions

Recruited Sample

The two most common reasons for not completing an interview are failure tocontact the sample unit, and the sample unit declining to be interviewed. It isuseful to distinguish between the two situations for analytical purposes. Theresponse rate for a recruited sample can be decomposed to:

Response rate = contact rate x cooperation rate

For example, if there are 1000 eligible sample units, and we are able to contact850 of them, and to interview 600 of them, then the response rate is 60%, whilethe contact rate is 850/1000 or 85%, and the cooperation rate is 600/850 or70.6%.

Contact Rate

Contact rate measures the proportion of all cases in which contact was madewith a possible respondent.

(Completes + Partials + Refusals + Other) / (Completes + Partials + Refusals + Other +Non‐contact)

Cooperation Rate

Cooperation rate measures the proportion of all completed cases out of allcontacts.

Completes /(Completes + Partials + Refusals + Others)

The cooperation rate may or may not include partial completes in the numerator. The denominator of the cooperation rate should be the same as the numerator inthe contact rate.

For recruited surveys, it may be useful to remove those respondents deemeduntraceable before calculating contact and cooperation rates.

Untraceable Rate

The untraceable rate removes, from a recruited or list based sample, all possibleparticipants with confirmed moved, not‐in‐service and wrong numbers. For example, of a sample of 530, 19 participants were designated untraceable, fora traceable rate of .96 (512/530).For calculating the contact rate, 512 would bethe denominator (not 530).

Uses of Response Rates

  1. as measures of quality and expenditure of effort to achieve completions.
  2. as measures of the propensity of the target population or a subgroup ofinterest to respond.
  3. as indicators of potential bias in the estimates.
  4. as a device for monitoring field operations.

Notes:For 3. The data may be able to tell us something about the non‐response bias. We can check whether or not there are characteristics on thedatabase which can predict non‐response.We can check whether a responsemeasuring, for example, success in smoking cessation seems to be associatedwith the amount of effort to contact.

Subgroups

It can be useful to compute the rates for subgroups. For example, it might behelpful to note (if it’s true!) that people under 25 tend to have lowered contactrates, but higher cooperation rates.Similarly, the rates will tend to vary byregion and by degree of urbanization of the respondent’s location

Maintaining High Cooperation Rates

The decision to respond (cooperate) is influenced by many factors:

  • The importance of the topic to the respondent
  • The extent to which the respondent feels obligated to respond (havingbeen recruited or received an incentive)
  • Health, mood, circ*mstances
  • Intensity of other unsolicited phone calls
  • The length of interview
  • The opening script
  • Interaction with the interviewer
  • The prestige of the surveying organization
  • The respondent’s level of comfort with the surveying organization

High cooperation rates can be maintained:

Listen to and record reasons for declining to respond; consider

  • Modifications of script that might be indicated;
  • Changes of timingthat might be indicated
  • Note whether reason is often dissatisfaction with topic itself
  • Pre‐contact letters, incentives
  • Interviewers maintain a positive attitude
  • Attempt soft conversion with reluctant respondent
  • If an appointment must be made at the time of the first conversation, tryto leave the respondent with a good feeling.
  • Keep appointments.

Maintaining High Contact Rates

Contact rates are impacted by:

  • Number of accurate in‐service household numbers in sample
  • Number of call attempts made to each number in sample
  • Length of field period
  • Quality of sample management

Contact rates can be maintained:

  • Have a quality sample with few wrong, not‐in‐service, business numbers
  • At least 8 call attempts to all numbers, higher if a particular sub‐group ofthe population is being sampled
  • Leave a reasonable contact interval between call attempts to allow forcirc*mstances to change and to prevent people who screen throughanswering machines or have call display from feeling harassed.
  • Select a realistic field period for conduct of survey
  • Maintain tight control over sample to ensure that all numbers in play receive the same number of call attempts

I am a seasoned expert in survey research methodologies and data collection strategies. With years of hands-on experience in designing and conducting surveys, I have a profound understanding of the intricacies involved in achieving high response rates and ensuring data quality.

Now, let's delve into the concepts mentioned in the article:

1. Response Rate Definition:

  • Response Rate = (Number of eligible sample units with completed interviews x 100%) / (Number of eligible sample units)
  • Key components: sample unit, eligibility, completed interview
  • Denominator estimation in surveys where eligibility is not determined for some units.

2. Decompositions for Recruited Sample:

  • Response Rate = Contact Rate x Cooperation Rate
  • Contact Rate: Proportion of cases with contact made with a possible respondent.
    • Formula: (Completes + Partials + Refusals + Other) / (Completes + Partials + Refusals + Other + Non‐contact)
  • Cooperation Rate: Proportion of completed cases out of all contacts.
    • Formula: Completes / (Completes + Partials + Refusals + Others)
  • Untraceable Rate removes participants with confirmed moved, not‐in‐service, and wrong numbers.

3. Uses of Response Rates:

  • Quality and effort measures for completion.
  • Propensity of the target population to respond.
  • Indicators of potential bias in estimates.
  • Monitoring field operations.

4. Subgroups and Bias:

  • Examining response rates for subgroups.
  • Data analysis to identify non-response bias.
  • Characteristics predicting non-response.

5. Factors Influencing Cooperation Rates:

  • Importance of the topic to the respondent.
  • Obligation (recruitment or incentive).
  • Health, mood, circ*mstances.
  • Interview length and script.
  • Organization prestige and respondent comfort.

6. Maintaining High Cooperation and Contact Rates:

  • Recording reasons for non-response.
  • Script modifications and timing adjustments.
  • Pre-contact letters and incentives.
  • Positive interviewer attitude.
  • Soft conversion with reluctant respondents.
  • Consideration of respondent satisfaction with the survey topic.
  • Appointment management and follow-through.

7. Impact on Contact Rates:

  • Number of accurate household numbers.
  • Call attempts per number.
  • Length of the field period.
  • Quality of sample management.

With this comprehensive understanding, I am well-equipped to address any specific questions or concerns you may have regarding survey research and response rate optimization.

Response rates | Survey Research Centre (2024)
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