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Survey Disposition

In survey methodology, a disposition is an encoding of the outcome(s) from an interview.


Disposition Codes

The four overarching categories for interview outcomes are:

  1. Complete eligible repondents
  2. Eligible non-respondents
  3. Unknown eligible non-respondents
  4. Ineligible respondents

The codes then have subcategories, i.e. 1.1 for a truly complete respondent and 1.2 for a partial respondent with sufficient information. There may also be codes for completion by a proxy at 1.11 and 1.21. A disposition code can then be truncated at certain levels of precision to simplify categories, up to and including the collapse of all precise categories into the four overarchive categories.

AAPOR has published guidance to standardize the encoding of dispositions.

Web Surveys

The common codes for web surveys are:

Code

Explanation

1.1

Complete

1.2

Partial with sufficient information (< NN% unanswered)

2.111

Explicit refusal by other individual

2.112

Explicit refusal by addressee

2.12

Partial with insufficient information (> NN% unanswered)

2.3

Technological issues

3.19

Unknown eligibility (i.e. did not login)

4.11

Screenout - Reason #1

4.12

Screenout - Reason #2

4.8

Quota Filled

If respondents were invited as specifically-named individuals, non-respondents may be 2.113 (i.e. Implicit Refusal). Otherwise they are typically 3.19 (i.e. Did not login).

Paper Surveys

Paper surveys are in many ways simpler. Responses are generally higher quality. Whereas web interviews are often shown interactively, paper questionnaire are seen entirely and at once. Questions cannot be conditionally skipped on a paper questionnaire.

On the other hand, nixie codes ought to be incorporated into the disposition code.

Code

Explanation

1.1

Complete

1.2

Partial with sufficient information (< NN% unanswered)

2.111

Explicit refusal by other individual

2.112

Explicit refusal by addressee

2.12

Partial with insufficient information (> NN% unanswered)

3.19

Unknown eligiblity (i.e. returned blank)

3.31

Mail returned undelivered

3.32

Mail refused by addressee

4.11

Screenout - Reason #1

4.12

Screenout - Reason #2

If respondents were invited as specifically-named individuals, non-respondents may be 2.113 (i.e. Implicit Refusal). Otherwise they are typically 3.19 (i.e. Nothing returned).


Non-Response Bias

Non-response bias is introduced when an individual's likelihood to respond to a survey instrument is correlated to a key measurement.

Note that non-response bias is not the same as low response rates. Bias can be introduced if a subgroup's responsivity increases.


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Statistics/SurveyDisposition (last edited 2025-01-10 15:07:04 by DominicRicottone)