Survey questionnaires and graphs

Kratina, Ioana Schiopu; Zamfirescu, Christina M.; Trépanier, Kyle; Marques, Lennon

doi:10.1214/15-ejs1067

Cited by 34 publications

(7 citation statements)

References 8 publications

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“…We were not familiar with Depth First Search at the time, discovering only later that the structural paths algorithm is a variation on a fundamental algorithm in computer science (Knuth, 1997). Schiopu-Kratina et al (2015) is the most recent publication we have found on this subject. They cite (Picard, 1965) as the pioneer, but state that his work has not yet been applied and suggest reasons for this.…”

Section: Discussionmentioning

confidence: 99%

“…Comparison of these works is complicated by different terminology, different approaches, and different objectives. What we refer to as BEGIN and END are referred to as "source" and "sink" by Fagan and Greenberg (1988, 3), as "start vertex" and "end vertex" by Bethlehem and Hundepool (2004, 242), and as "root" and "terminal" by Schiopu-Kratina et al (2015, 2207. Our structural and valid paths are "logically possible routes" and "incorrect routes" in Bethlehem and Hundepool (2004, 253).…”

Section: Discussionmentioning

confidence: 99%

“…Our structural and valid paths are "logically possible routes" and "incorrect routes" in Bethlehem and Hundepool (2004, 253). Our invalid paths are "empty paths" in Schiopu-Kratina et al (2015, 2208.…”

Section: Discussionmentioning

confidence: 99%

“…Elliot (2012a) is concerned mainly with testing questionnaires. Schiopu-Kratina et al (2015), Abstract introduce a special type of graph for use as a tool to design and improve questionnaires.…”

Section: Discussionmentioning

confidence: 99%

“…We show below that 16 structural paths through the Malawi 2008 person questions are logically invalid because they include the filters age≥18 and age<6 and that 144 paths are invalid because they include the filters age≥18 and age<12 ("Application of the paths algorithms"). The possibility of logically invalid paths is noted, with slightly different terminology, by Bethlehem and Hundepool (2004, p. 253) and Schiopu-Kratina et al (2015, p. 2212.…”

Section: Below)mentioning

confidence: 99%

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On the logical structure of census and survey questionnaires

Feeney¹,

Feeney²

2019

Genus

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Skip instructions in census and survey questionnaires result in different groups of persons being eligible for different questions-the logical structure of the questionnaire. Logical structure is important for analyzing census and survey data, for processing raw questionnaire data, and for questionnaire design and testing. We define a simple, general, computer-readable representation of a questionnaire that incorporates information on skip instructions. Algorithms for automatic calculation of questionnaire paths and sets of eligible persons are presented and applied to the Malawi 2008 census questionnaire and IPUMS International sample dataset. The R code provided may be used to reproduce our results and to apply the algorithms to other questionnnaires and datasets. We show that dividing questionnaires into sections is a fundamental tool for understanding and limiting logical complexity. We model questionnaires as programs intended for execution by an interviewer or respondent, rather than by a computer, and represent them by a software design diagram that presents information on questions, responses, and skip instructions in a form that is as readable as a traditional paper questionnaire, while simultaneously providing a precise specification that programmers may use to create an electronic version of the questionnaire.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Below)mentioning

confidence: 99%

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